Harmony Search and Nonlinear Programming Based Hybrid Approach to Enhance Power System Performance with Wind Penetration
|
|
- Matthew Welch
- 5 years ago
- Views:
Transcription
1 Abstract Wind generation existence in power system greatly affects power system transient stability and it also greatly affects steady state conditions. FACTS devices are proposed as a solution to this problem. This paper aims to minimize total power losses and improve system lodability through finding optimal location of Thyresitor-Controlled Series Compensators (TCSCs) in order that system stability being restored. Optimum allocation of TCSC devices and their sizing is obtained by a harmony search and nonlinear programming hybrid approach (NLP-HS) which aim to find the starting point for the nonlinear programming (NLP) problem using Harmony Search (HS) algorithm. IEEE 9-bus Systems were successfully demonstrated by that approach. Index Terms Wind generation, TCSCs, NLP method, HS Algorithm, optimization, active power loss reduction. Harmony Search and Nonlinear Programming Based Hybrid Approach to Enhance Power System Performance with Wind Penetration Ibrahim M. Diaa*, Niveen M. Badra*, Mahmoud A. Attia** *Department of Engineering Physics and Mathematics, Faculty of Engineering, Ain Shams University **Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University I. INTRODUCTION Nowadays, Due to friendly character of wind generation to the environment, wind generation has been used widely. Wind turbines occupy less land in comparison to other power stations. Technologies development has made the contribution of wind generation to power system more efficient. Wind turbines have a wide range of sizes so it can support different population levels. However, wind generation is unreliable due to the variation of wind speed. Not only Wind turbines are costly but, they are also noisy. Flexible AC Transmission System (FACTS) devices aim to control power flow in the network in order to reduce flows in the heavy loaded lines. They can also help, minimize power loss of the systems and increase stability margin in such a way that thermal limits are not violated. However, our concern in this paper is to minimize total power loss in the network with the help of FACTS devices. The main type of devices considered here, namely, Thyristor Controlled Series Compensators (TCSCs). TCSC is a series compensation device. Generation and transmission limits can adjust using TCSCs. A thyristor-controlled reactor (TCR) connected in parallel with a capacitor is the TCSC device. FACTS device doesn't require any interfacing equipment, like high voltage transformers. TCSC device is connected in series with the transmission line to be compensated. Series compensation property of TCSC device makes it more economic, competing other FACTS technologies. In practical power systems, some buses are more sensitive than others to the overall system voltage stability. FACTS devices cost can be minimized through proper allocation and appropriate compensation level of that devices. Many optimization methods were used to optimally allocate FACTS devices, Linear Programming method was used by authors in [1], Quadratic Programming method was used in [2], Nonlinear Programming method was used in [3] and [4], Interior Point method was used in [5], Evolutionary Programming was used in [6], Particle Swarm Optimization method was used in [7] and Genetic Algorithm optimization method was used in [8], [9] and [10]. In this paper, an optimization technique is used for TCSC installation in order to improve power system loadability of the lines and minimize the total active loss. The NLP algorithm is the proposed approach aiming to find an optimal number of TCSC devices and their optimal ratings, taking into consideration the thermal and voltage limits. The IEEE 9-bus system was examined by the proposed optimization technique successfully. II. MATHEMATICAL MODEL OF TCSCs TCSC acts as a series capacitive or inductive reactance connected to the reactance of transmission line required to be compensated. A TCSC has the ability to influence the active power flow through a transmission line by adapting the reactance of the line when it is connected in series with the line. Hence, the model of a TCSC device is a variable reactance X TCSC connected in series with the line, as shown in 2323
2 Fig. 1. The line flow is successfully changed due to series reactance change. In this paper TCSC is modeled by changing transmission line reactance as below: X ij X line X TCSC X TCSC r TCSC.X line Where X line is reactance of transmission line and r TCSC is compensation factor of TCSC. Rating of TCSC depends on transmission line where it is located. To avoid overcompensation, TCSC reactance is chosen within (-70% to -30%) of the line reactance and from of the line reactance. R+jX System operating limits are the inequality constraints. IV. HARMONY SEARCH ALGORITHM jb/2 Fig. 1 Model of the TCSC III. PROBLEM FORMULATION As we already mentioned, this paper focuses on the optimal location and design of TCSCs. The best utilization of the existing power network is the optimization goal. Only the FACTS controllers technical benefits are taken into consideration (the cost of equipment are not taken into account). In this respect, the TCSCs are located so to maximize loadability, minimize system total active loss and flatten buses voltage. The optimal allocation and sizing of TCSC devices are formulated as a mixed continues-discrete multi-objective optimization problem. The optimization parameters are the FACTS sizing and locations. Our target is to determine the optimal locations and the settings of the parameters of the TCSC in the power network to minimize voltage violations. The total power loss minimization function is the objective. A. Objective Function Economically, the minimization of active power losses P loss is taken into consideration. P loss expression is: Recently, various algorithms have been developed in order to solve several engineering optimization problems. Computational difficulty of the numerical methods has forced researchers to depend on metaheuristic algorithms based on simulations in order to solve optimization problems of engineering. Meta-heuristic algorithms common factor is that they combine randomness and rules to simulate natural phenomena. A new optimization technique was developed by Geem et al. [11] inspired by music phenomenon called Harmony Search (HS) meta-heuristic algorithm. Musical performances aim to find pleasing harmony as determined by an aesthetic standard, just as the optimization process aims to find a global solution as determined by a chosen standard, like the process of optimization aims to find a global solution as determined by an objective function. The analogous thing between music improvisation and engineering optimization is shown in Fig. 2. In music improvisation, each player sounds any pitch inside the acceptable range, in order to make one harmony vector. If a good harmony is made by all of the pitches, each player's memory stores that experience, and the probability of making a good harmony is increased next time. However, in engineering optimization, random values are assigned to each decision variable within specified range, together making a solution vector. If a good solution is made by all of the decision variables, each decision variable stores that experience in order to make a good solution is also increased next time [12-14]. B. System Constraints The load flow equations are represented by the equality constraints represent as follows: Fig.2. Music improvisation and engineering optimization [14]. 2324
3 Each musician is represented by a decision variable, and its distinguished sound pitches are represented by variable s distinguished values. The procedure of HS algorithm is as follows: First, Problem is initialized and also algorithm parameters, then harmony memory (HM) is initialized, then a new harmony improvisation is created from the HM, then harmony memory is updated, then the last two steps are repeated until the criteria of termination is satisfied. HS Algorithm technique to solve the proposed optimization problem is shown in figure 3. interior-point (IP) approach to solving the NLP optimization problem is as follows: NLP problem: The NLP optimization problem is then transformed into IP optimization problem as follows: IP approximate problem: To solve the IP problem the barrier function is used so the new approximate problem is as described below: The slack variables S i must be positive to keep ln (S i) bounded. The minimum of f should be approached by the minimum of f µ. In order to solve the barrier problem, Karush-Kuhn-Tucker (KKT) conditions are applied in order to transfer the problem into a sequence of equality constrained problem. To solve the problem after applying the KKT conditions, the algorithm uses a direct step in (x, s) at each iteration. This step aims to solve the KKT equations as follows: Fig. 3 Flowchart of the HS Algorithm V. NONLINEAR PROGRAMMING OPTIMIZATION TECHNIQUE Where W is the Hessian of the Lagrangian of f µ The direct step ( x, s) equation is obtained after applying linearized Lagrangian to the obtained KKT equations as follows: As it has been mentioned before the HS algorithm is used first to locate the starting point of the NLP optimization problem. Constrained NLP optimization problem aims to find the vector (x) which is the local minimum of a scalar function f(x) subjected to equality and inequality constraints. S is the diagonal matrix of s. Several methods are used to solve the NLP optimization problem. The interior-point algorithm is the technique used J g is the Jacobian of the constraint function g. in this paper to solve the NLP optimization problem. The J h is the Jacobian of the constraint function h. 2325
4 λ is the Lagrange multiplier vector associated with h. λk is the diagonal matrix of λ. Υ is the vector multiplier of the Lagrange associated with g. e is the unity vector, have the same size of g At each iteration the algorithm aims to decrease the merit function as follows: The parameter might increase with the number of iteration to approach feasibility. If the merit function is not decreased in the attempted step, the step is rejected and a new step is attempted. VI. CASE STUDY The HS algorithm optimization technique was applied to the modified IEEE 9-bus system given in [15]. The obtained results are compared with [10]. Authors in [10] used a GA approach in order to find optimum location and sizing of TCSCs. The system under test is shown in Figure 4 as a one-line diagram. Data of the system is given in [15].The system consists of 9 buses. System study was carried out at reactive power sent to wind generator from the network are 20% and 40% of its active power. The ranges of TCSCs carried out in this study is from -30% to -70% and from -80% to 20%.. VII. SIMULATION RESULTS & DISCCUSION After running the HS algorithm program to get the starting point of the NLP optimization problem and then the NLP-HS optimization program runs to get the optimal location and sizing of the TCSCs in order to restore system stability after reactive power sent to wind generator from the network are 20% and 40% of its active power, the results are as follows, At reactive power sent to wind generator from the network is 20% of its active power. (wind generator reactive power (Q wind ) = MVAr) and the is (-70% to -30%) of the line reactance, the results shows that the insertion of TCSCs changes the percentage of the total losses (P loss) to the total load (P load) from 2.016% to %, the minimum system voltage (V min) from p.u to p.u, the maximum system voltage angle (δ max) from degrees to 3.64 degrees, the minimum system voltage angle from degrees to degrees and the number of TCSC devices added to the system lines is six. At reactive power sent to wind generator from the network is 40% of its active power. (Q wind = MVAr) and the is of the line reactance, the results shows that the insertion of TCSCs changes the percentage of the total losses to the total load from 2.016% to 1.715%, the minimum system voltage from p.u to p.u, the maximum system voltage angle from degrees to 3.69 degrees, the minimum system voltage angle from degrees to degrees and the number of TCSC devices added to the system lines is four. Table 1 shows system performance results at reactive power sent to wind generator from the network is 20% before and after TCSCs allocation. Table 2 shows sizing and the locations of the TCSCs at reactive power sent to wind generator from the network is 20%. Figure 4 shows (P loss/p load) percentage before and after TCSCs allocation. Figure 5 shows minimum system voltage before and after TCSCs allocation. Figure 6 shows minimum system power angle before and after TCSCs allocation. Fig. 4 IEEE 9-bus system. 2326
5 Table 1. System performance at reactive power sent to wind generator from the network is 20% of its active power. Wind generator reactive power is 20% of its active power Without TCSCs (Ploss /Pload)% Vmin (p.u) δmax (degree) δmin (degree) Number of devices Qwind (MVAr) Fig. 4 (P loss/p load) percentage at reactive power sent to wind generator from the network is 20% of its active power. Table 2. Location and Sizing of TCSCs at reactive power sent to wind generator from the network is 20% of its active power. Line Wind generator reactive power is 20% of its active power Without TCSCs Fig. 5 Minimum System Voltage at reactive power sent to wind generator from the network is 20% of its active power Number of devices Fig. 6 Minimum System Power Angle at reactive power sent to wind generator from the network is 20% of its active power. 2327
6 At reactive power sent to wind generator from the network is 40% of its active power (wind generator reactive power (Qwind )= MVAr) and the is (-70% to -30%) of the line reactance, the results shows that insertion of TCSCs changes the percentage of the total losses (Ploss) to the total load (Pload) from 3.073% to 1.85%, the minimum system voltage (Vmin) from p.u to p.u, the maximum system angle (δmax) from degrees to 2.95 degrees, the minimum system angle from degrees to degrees and the number of TCSC devices added to the system lines is seven. At reactive power sent to wind generator from the network is 40% of its active power (Qwind = MVAr) and the is (-80% to 20%) of the line reactance, the results shows that insertion of TCSCs changes the percentage of the total losses (Ploss) to the total load (Pload) from 3.073% to 1.88%, the minimum system voltage (Vmin) from p.u to 0.95 p.u, the maximum system angle (δmax) from degrees to 2.6 degrees, the minimum system angle from degrees to -3.3 degrees and the number of TCSC devices added to the system lines is seven. Table 3 shows system performance results at reactive power sent to wind generator from the network is 40% of its active power before and after TCSCs allocation. Table 4 shows sizing and the locations of the TCSCs at reactive power sent to wind generator from the network is 40% of its active power before and after TCSCs allocation. Figure 7 shows (P load/p loss) percentage before and after TCSCs allocation. Figure 8 shows minimum system voltage before and after TCSCs allocation. Figure 9 shows minimum system power angle before and after TCSCs allocation. Table 4. Location and Sizing of TCSCs at reactive power sent to wind generator from the network is 40% of its active power Line Wind generator reactive power is 40% of its active power Without TCSCs Number of devices Table 3. System performance at reactive power sent to wind generator from the network is 40% of its active power. Wind generator reactive power is 40% of its active power Without TCSCs (GA) technique NLP-HS technique with NLP-HS technique with Fig. 7 (P loss/p load) percentage at reactive power sent to wind generator from the network is 40% of its active power. (Ploss /Pload)% Vmin (p.u) δmax (degree) δmin (degree) Number of devices Qwind (MVAr)
7 when applying the GA technique by one than that when applying the NLP-HS optimization technique, the percentage of the ratio (Ploss /Pload) is lower when applying the NLP-HS optimization technique than that obtained by the GA technique. Finally applying the NLP-HS optimization technique is better than the GA applied in the case of minimum system voltage comparison. Fig. 8 Minimum System Voltage at reactive power sent to wind generator from the network is 40% of its active power. IX. CONCLUSION Results show that the capacitive-inductive range of TCSCs in this problem provides fewer TCSC devices than that provided by the capacitive range which makes the capacitive-inductive range of TCSC devices more economic. Results obtained can also show that optimum allocation and sizing of TCSC devices can be obtained within constraints of nodal voltages and thermal capability of lines. Results obtained can also show that when TCSC devices optimally located and sized the minimum system voltage is increased leads to increase in the system stability. The operation limits of the system can also be restored after violation due to reactive power sent to wind generator from the network are 20% and 40% of the wind generator active power through optimal allocation and sizing of TCSC devices. My technique is examined through comparing results with those obtained. Fig. 9 Minimum System Power Angle at reactive power sent to wind generator from the network is 40% of its active power. VIII. A COMPARISON BETWEEN THE PROPOSED OPTIMIZATION METHOD WITH [10] From the comparison, it can be noticed that: As shown from the previous tables the number of devices obtained from applying the NLP-HS optimization technique is lower than that obtained by the GA technique in the case of the capacitive-inductive range of the TCSCs at the reactive power sent to wind generator from the network are 20% and 40% of its active power. In all examined cases, after adding the TCSC devices the minimum system voltage is higher when applying NLP-HS optimization technique than that when applying GA technique. The maximum power angle of the system is lower when applying NLP-HS optimization technique than that when applying GA. At the case of reactive power sent to wind generator from the network is 20% of its active power and the TCSCs compensation factor is of the line reactance, it is clear that: however the number of TCSC devices is lower X. REFERENCES [1] F. G. M. Lima, F. D. Galiana, I. Kockar and J. Munoz, Phase shifter placement in large- scale systems via mixed integer linear programming, IEEE Trans. Power Syst, vol. 18, no. 3, pp , Aug [2] A. berizzi, M. Delfanti, P. Marannino, M. S. Pasquadibisceglie and A. Silvestri, Enhanced security-constrained OPF with FACTS devices, IEEE Trans. Power Syst., vol. 20, no. 3, pp , Aug [3] J. A. Momoh and J. Zhu, Multi-area power systems economic dispatch using nonlinear convex network flow programming, Electric Power Syst. Research, vol. 59, pp , [4] A. K. Sharma, Optimal number and location of TCSC and loadability enhancement in deregulated electricity markets using MINLP, Int. J. of Emerging Electric Power Syst., vol. 5, issue. 1, pp. 1-13, [5] Whei-Min Lin, S-J. Chen and Y.S Su, An application of interior point based OPF for system expansion with FACTS devices in a deregulated environment, /00/$ IEEE, pp [6] Weerakorn Ongsakul and Peerapol Jirapong, Optimal allocation of FACTS devices to enhance total transfer capability using evolutionary programming, in IEEE Int. Symposium on Circuits and Systems, ISCAS, vol. 5, May 2005, pp [7] T. S. Chung and Y. Z. Li, A hybrid GA approach for OPF with consideration of FACTS devices, IEEE Power Engineering Review, pp , Feb [8] A. Y. Abdelaziz, M. A. El-Sharkawy and M. A. Attia, Reactive Power Control to Assist Wind Penetration without Effect on System Operation, IEEJ International Electrical Journal, vol. 7(2016) No.1, pp
8 [9] M. Saravanan, S. M. R. Slochanal, P. Venkatesh, J. P. S. Abraham, Application of particle swarm optimization technique for optimal location of FACTS devices considering the cost of installation and system loadability, Electric Power Syst. Research, vol. 77, pp , [10] Mahmoud A. Attia, Almoataz Y. Abdelaziz and M. A. Elsharkawy, Enhancing Power System Performance with Growing Wind Power Penetration: optimal Allocation of FACTS, LAP LAMBERT Academic Publishing, July [11] Z. Geem, J. Kim, et ai., "A new heuristic optimization algorithm: harmony search," Simulation 76 (2) (2001) [12] Zong Woo Geem, Novel derivative of harmony search algorithm for discrete design variables Environmental Planning and Management Program, Johns Hopkins University,729 Fallsgrove Dr. #6133, Rockville, MD 20850, USA [13] Geem ZW, Kim JH, Loganathan GV. A new heuristic optimization algorithm: harmony search. Simulation 2001;76 (2):60 8. [14] K. Lee, Z. Geem, A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice, Computer Methods in Applied Mechanics and Engineering 194 (2005) (2005) [15] Zimmerman, R.D., Murillo-Sanchez, E.C.: Matpower A Matlab TM Power System Simulation Package Version 3.2, User s Manual (September 21, 2007). 2330
Optimal Allocation of TCSC Devices Using Genetic Algorithms
Proceedings of the 14 th International Middle East Power Systems Conference (MEPCON 10), Cairo University, Egypt, December 19-21, 2010, Paper ID 195. Optimal Allocation of TCSC Devices Using Genetic Algorithms
More informationMinimization of Power Loss and Improvement of Voltage Profile in a Distribution System Using Harmony Search Algorithm
Minimization of Power Loss and Improvement of Voltage Profile in a Distribution System Using Harmony Search Algorithm M. Madhavi 1, Sh. A. S. R Sekhar 2 1 PG Scholar, Department of Electrical and Electronics
More informationOptimal Allocation of TCSC Using Heuristic Optimization Technique
Original Article Print ISSN: 2321-6379 Online ISSN: 2321-595X DOI: 10.17354/ijssI/2017/132 Optimal Allocation of TCSC Using Heuristic Optimization Technique M Nafar, A Ramezanpour Department of Electrical
More informationApplication of DE & PSO Algorithm For The Placement of FACTS Devices For Economic Operation of a Power System
Application DE & PSO Algorithm For The Placement Devices For Economic Operation a Power System B. BHATTACHARYYA, VIKASH KUMAR GUPTA 2 Department Electrical Engineering, Indian School Mines, Dhanbad, Jharkhanbd
More informationAvailable online at ScienceDirect. Procedia Computer Science 92 (2016 ) 30 35
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 92 (2016 ) 30 35 2nd International Conference on Intelligent Computing, Communication & Convergence (ICCC-2016) Srikanta
More informationOptimal Power flow with FACTS devices using Genetic Algorithm
International Journal of Scientific & Engineering Research, Volume, Issue 8, August 2013 Optimal Power flow with FACTS devices using Genetic Algorithm Serene C Kurian, Jo Joy Abstract Increasing demands
More informationOptimal Placement and Sizing of FACTS Devices for Loadability Enhancement in Deregulated Power Systems
Optimal Placement and Sizing of FACTS Devices for Enhancement in Deregulated Power Systems Mahmoud Mohammadi, Dr.Alireza Rezazadeh, Dr.Mostafa Sedighizadeh Beheshti University Beheshti University, Evin,
More informationA REVIEW OF VOLTAGE/VAR CONTROL
Abstract A RVIW OF VOLTAG/VAR CONTROL M. Lin, R. K. Rayudu and S. Samarasinghe Centre for Advanced Computational Solutions Lincoln University This paper presents a survey of voltage/var control techniques.
More informationEffect of Parameter Tuning on Performance of Cuckoo Search Algorithm for Optimal Reactive Power Dispatch
RESEARCH ARTICLE OPEN ACCESS Effect of Parameter Tuning on Performance of Cuckoo Search Algorithm for Optimal Reactive Power Dispatch Tejaswini Sharma Laxmi Srivastava Department of Electrical Engineering
More informationOptimal Voltage Control using Singular Value Decomposition of Fast Decoupled Load Flow Jacobian
Optimal Voltage Control using Singular Value Decomposition of Fast Decoupled Load Flow Jacobian Talha Iqbal, Ali Dehghan Banadaki, Ali Feliachi Lane Department of Computer Science and Electrical Engineering
More informationAnalysis and Enhancement of Voltage Stability using Shunt Controlled FACTs Controller
Volume 1, Issue 2, October-December, 2013, pp. 25-33, IASTER 2013 www.iaster.com, Online: 2347-5439, Print: 2348-0025 Analysis and Enhancement of Voltage Stability using Shunt Controlled FACTs Controller
More informationPlacement of Multiple Svc on Nigerian Grid System for Steady State Operational Enhancement
American Journal of Engineering Research (AJER) e-issn: 20-0847 p-issn : 20-0936 Volume-6, Issue-1, pp-78-85 www.ajer.org Research Paper Open Access Placement of Multiple Svc on Nigerian Grid System for
More informationOptimal sizing and placement of Static and Dynamic VAR devices through Imperialist Competitive Algorithm for minimization of Transmission Power Loss
Optimal sizing and placement of Static and Dynamic VAR devices through Imperialist Competitive Algorithm for minimization of Transmission Power Loss Pramod Kumar Gouda #1, P K Hota *2, K. Chandrasekar
More informationImpact of Thyristor Controlled Series Capacitor on Voltage Profile of Transmission Lines using PSAT
Impact of Thyristor Controlled Series Capacitor on Voltage Profile of Transmission Lines using PSAT Babar Noor 1, Muhammad Aamir Aman 1, Murad Ali 1, Sanaullah Ahmad 1, Fazal Wahab Karam. 2 Electrical
More informationFACTS Devices Allocation to Congestion Alleviation Incorporating Voltage Dependence of Loads
FACTS Devices Allocation to Congestion Alleviation Incorporating Voltage Dependence of Loads M. Gitizadeh* and M. Kalantar* Abstract: This paper presents a novel optimization based methodology to allocate
More informationEnhancement of Voltage Stability by SVC and TCSC Using Genetic Algorithm
ISSN (Online) : 2319-8753 ISSN (Print) : 2347-6710 International Journal of Innovative Research in Science, Engineering and Technology Volume 3, Special Issue 3, March 2014 2014 International Conference
More informationWhale Optimization Algorithm Based Technique for Distributed Generation Installation in Distribution System
Bulletin of Electrical Engineering and Informatics Vol. 7, No. 3, September 2018, pp. 442~449 ISSN: 2302-9285, DOI: 10.11591/eei.v7i3.1276 442 Whale Optimization Algorithm Based Technique for Distributed
More informationEvolutionary Programming Based Optimal Placement of UPFC Device in Deregulated Electricity Market
Evolutionary Programming Based Optimal Placement of UPFC Device in Deregulated Electricity Market Mr. K. Balamurugan 1, Dr. R. Muralisachithanandam 2, Dr. V. Dharmalingam 3, Mr. K. V. Sethuraman 4 1 Asst
More informationFOUR TOTAL TRANSFER CAPABILITY. 4.1 Total transfer capability CHAPTER
CHAPTER FOUR TOTAL TRANSFER CAPABILITY R structuring of power system aims at involving the private power producers in the system to supply power. The restructured electric power industry is characterized
More informationAnnamacharya Institute of Technology and Sciences, Tirupathi, A.P, India
Active Power Loss Minimization Using Simultaneous Network Reconfiguration and DG Placement with AGPSO Algorithm K.Sandhya,Venkata Supura Vemulapati 2,2 Department of Electrical and Electronics Engineering
More informationComparison of Conventional and Meta-Heuristic Methods for Security-Constrained OPF Analysis
Comparison of Conventional and Meta-Heuristic Methods for Security-Constrained OPF Analysis Jagadeesh Gunda, Sasa Djokic School of Engineering The University of Edinburgh Edinburgh, Scotland, UK J.Gunda@sms.ed.ac.uk
More informationSuperOPF and Global-OPF : Design, Development, and Applications
SuperOPF and Global-OPF : Design, Development, and Applications Dr. Hsiao-Dong Chiang Professor, School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA School of electrical
More informationOptimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 3, AUGUST 2001 537 Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms Stéphane Gerbex, Rachid Cherkaoui, and
More informationHARMONIC distortion complicates the computation of. The Optimal Passive Filters to Minimize Voltage Harmonic Distortion at a Load Bus
1592 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 20, NO. 2, APRIL 2005 The Optimal Passive Filters to Minimize Voltage Harmonic Distortion at a Load Bus Ahmed Faheem Zobaa, Senior Member, IEEE Abstract A
More informationVoltage Drop Compensation and Congestion Management by Optimal Placement of UPFC
P P Assistant P International Journal of Automation and Power Engineering, 2012, 1: 29-36 - 29 - Published Online May 2012 www.ijape.org Voltage Drop Compensation and Congestion Management by Optimal Placement
More informationOPTIMAL PASSIVE FILTER LOCATION BASED POWER LOSS MINIMIZING IN HARMONICS DISTORTED ENVIRONMENT
OPTIMAL PASSIVE FILTER LOCATION BASED POWER LOSS MINIMIZING IN HARMONICS DISTORTED ENVIRONMENT * Mohammadi M., Mohammadi Rozbahani A., Montazeri M. and Memarinezhad H. Department of Electrical Engineering,
More informationATC ENHANCEMENT THROUGH OPTIMAL PLACEMENT OF TCSC USING WIPSO TECHNIQUE
ATC ENHANCEMENT THROUGH OPTIMAL PLACEMENT OF TCSC USING WIPSO TECHNIQUE R. Sripriya and R. Neela Department of Electrical Enneering, Annamalai University, India E-Mail: sripriyavineeth@gmail.com ABSTRACT
More informationOptimal Allocation of Unified Power Flow Controller for Power Loss minimization and Voltage Profile Improvement using Harmony Search Algorithm
Optimal Allocation of Unified Power Flow Controller for Power Loss minimization and oltage Profile Improvement using Harmony Search Algorithm B.Sravan Kumar 1, M.Suryakalavathi 2, G..Nagesh Kumar 1 1 Department
More informationA Novel PSS Design for Single Machine Infinite Bus System Based on Artificial Bee Colony
A Novel PSS Design for Single Machine Infinite Bus System Based on Artificial Bee Colony Prof. MS Jhamad*, Surbhi Shrivastava** *Department of EEE, Chhattisgarh Swami Vivekananda Technical University,
More informationIOSR Journal of Electrical and Electronics Engineering (IOSRJEEE) ISSN: Volume 1, Issue 5 (July-Aug. 2012), PP
IOSR Journal of Electrical Electronics Engineering (IOSRJEEE) ISSN: 2278-1676 Volume 1, Issue 5 (July-Aug. 2012), PP 16-25 Real Power Loss Voltage Stability Limit Optimization Incorporating through DE
More informationoptimal allocation of facts devices to enhance voltage stability of power systems Amr Magdy Abdelfattah Sayed A thesis submitted to the
optimal allocation of facts devices to enhance voltage stability of power systems By Amr Magdy Abdelfattah Sayed A thesis submitted to the Faculty of Engineering at Cairo University In Partial Fulfillment
More informationA Novel Approach for Reducing Proximity to Voltage Instability of Multibus Power System with Line Outage Using Shunt Compensation and Modal Analysis
A Novel Approach for Reducing Proximity to Voltage Instability of Multibus Power System with Line Outage Using Shunt Compensation and Modal Analysis S.D.Naik Department of Electrical Engineering Shri Ramdeobaba
More informationParticle Swarm Based Optimization of Power Losses in Network Using STATCOM
International Conference on Renewable Energies and Power Quality (ICREPQ 14) Cordoba (Spain), 8 th to 10 th April, 2014 Renewable Energy and Power Quality Journal (RE&PQJ) ISSN 2172-038 X, No.12, April
More informationEvolutionary Programming Optimization Technique for Solving Reactive Power Planning in Power System
Evolutionary Programg Optimization Technique for Solving Reactive Power Planning in Power System ISMAIL MUSIRIN, TITIK KHAWA ABDUL RAHMAN Faculty of Electrical Engineering MARA University of Technology
More informationOptimal Placement of Unified Power Flow Controller for Minimization of Power Transmission Line Losses
Optimal Placement of Unified Power Flow Controller for inimization of Power Transmission Line Losses Sreerama umar R., Ibrahim. Jomoah, and Abdullah Omar Bafail Abstract This paper proposes the application
More informationIJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 06, 2014 ISSN (online):
IJSRD - International Journal for Scientific Research & Development Vol. 2, Issue 06, 2014 ISSN (online): 2321-0613 Parametric Optimization of Shell and Tube Heat Exchanger by Harmony Search Algorithm
More informationAnalysis and modeling of thyristor controlled series capacitor for the reduction of voltage sag Manisha Chadar
Analysis and modeling of thyristor controlled series capacitor for the reduction of voltage sag Manisha Chadar Electrical Engineering department, Jabalpur Engineering College Jabalpur, India Abstract:
More informationPOWER FLOW SOLUTION METHODS FOR ILL- CONDITIONED SYSTEMS
104 POWER FLOW SOLUTION METHODS FOR ILL- CONDITIONED SYSTEMS 5.1 INTRODUCTION: In the previous chapter power flow solution for well conditioned power systems using Newton-Raphson method is presented. The
More informationFull Length Research Article
Available online at http://www.journalijdr.com International Journal of DEVELOPMENT RESEARCH ISSN: 2230-9926 International Journal of Development Research Vol. 4, Issue, 3, pp. 537-545, March, 204 Full
More informationAtiya naaz L.Sayyed 1, Pramod M. Gadge 2, Ruhi Uzma Sheikh 3 1 Assistant Professor, Department of Electrical Engineering,
Contingency Analysis and Improvement of ower System Security by locating Series FACTS Devices TCSC and TCAR at Optimal Location Atiya naaz L.Sayyed 1, ramod M. Gadge 2, Ruhi Uzma Sheih 3 1 Assistant rofessor,
More informationImplementation of Line Stability Index for Contingency Analysis and Screening in Power Systems
Journal of Computer Science 8 (4): 585-590, 2012 ISSN 1549-3636 2012 Science Publications Implementation of Line Stability Index for Contingency Analysis and Screening in Power Systems Subramani, C., Subhransu
More informationREAL POWER LOSS MINIMIZATION USING FIREFLY ALGORITHM
REAL POWER LOSS MINIMIZATION USING FIREFLY ALGORITHM Mr. H. Deenadhayalan Assistant Professor, Electrical and Electronic Engineering, Annai Teresa College of Engineering, Villupuram, Tamilnadu, India Abstract
More informationNeural Network Based Loading Margin Approximation for Static Voltage Stability in Power Systems
Neural Network Based Loading Margin Approximation for Static Voltage Stability in Power Systems Arthit Sode-Yome, Member, IEEE, and Kwang Y. Lee, Fellow, IEEE Abstract Approximate loading margin methods
More informationGENETIC ALGORITHM BASED CONGESTION MANAGEMENT BY USING OPTIMUM POWER FLOW TECHNIQUE TO INCORPORATE FACTS DEVICES IN DEREGULATED ENVIRONMENT
GENETIC ALGORITHM BASED CONGESTION MANAGEMENT BY USING OPTIMUM POWER FLOW TECHNIQUE TO INCORPORATE FACTS DEVICES IN DEREGULATED ENVIRONMENT S.Vinod Kumar 1, J.Sreenivasulu 2, K.Vimala Kumar 3 PG Student,
More informationOPTIMAL UTILIZATION OF GENERATORS USING HARMONY SEARCH ALGORITHM FOR THE MANAGEMENT OF CONTINGENCY
International Journal of Innovative Computing, Information and Control ICIC International c 2018 ISSN 1349-4198 Volume 14, Number 3, June 2018 pp. 1159 1168 OPTIMAL UTILIZATION OF GENERATORS USING HARMONY
More informationEnhancement of Power System Voltage Stability Using SVC and TCSC
International Journal of Scientific & Engineering Research Volume 4, Issue 1, January-2013 1 Enhancement of Power System Voltage Stability Using SVC and TCSC Deepa Choudhary Department of electrical engineering
More informationInternational Journal of Industrial Engineering Computations
International Journal of Industrial Engineering Computations 6 (2015) 43 58 Contents lists available at GrowingScience International Journal of Industrial Engineering Computations homepage: www.growingscience.com/ijiec
More informationI. INTRODUCTION. Keywords:- FACTS, TCSC, TCPAR,UPFC,ORPD
International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 11, Issue 11 (November 2015), PP.13-18 Modelling Of Various Facts Devices for Optimal
More informationSimulation of Optimal Power Flow incorporating with Fuzzy Logic Control and various FACTS Devices
International Journal of Scientific and Research ublications, Volume 2, Issue 5, May 2012 1 Simulation of Optimal ower Flow incorporating with Fuzzy Logic Control and various FACTS Devices EaswaraMoorthy
More informationPower Minimization for Multi-Cell OFDM Networks Using Distributed Non-cooperative Game Approach
Power Minimization for Multi-Cell OFDM Networks Using Distributed Non-cooperative Game Approach Zhu Han, Zhu Ji, and K. J. Ray Liu Electrical and Computer Engineering Department, University of Maryland,
More informationA Novel Approach to Simultaneous Voltage Sag/Swell and Load Reactive Power Compensations Using UPQC
A Novel Approach to Simultaneous Voltage Sag/Swell and Load Reactive Power Compensations Using UPQC N. Uma Maheshwar, Assistant Professor, EEE, Nalla Narasimha Reddy Group of Institutions. T. Sreekanth,
More informationCHAPTER 2 MODELING OF FACTS DEVICES FOR POWER SYSTEM STEADY STATE OPERATIONS
19 CHAPTER 2 MODELING OF FACTS DEVICES FOR POWER SYSTEM STEADY STATE OPERATIONS 2.1 INTRODUCTION The electricity supply industry is undergoing a profound transformation worldwide. Maret forces, scarcer
More informationOptimal Location and Parameter Setting of UPFC based on PSO for Enhancing Power System Security under Single Contingencies
Optimal Location and Parameter Setting of UPFC based on PSO for Enhancing Power System Security under Single Contingencies 1 Nedunuri Vineela, 2 Chunduri Rambabu 1 Sri Vasavi Engineering College, Tadepalligudem,
More informationCOMPARATIVE PERFORMANCE OF WIND ENERGY CONVERSION SYSTEM (WECS) WITH PI CONTROLLER USING HEURISTIC OPTIMIZATION ALGORITHMS
24 th International Conference on Electricity Distribution Glasgow, 2-5 June 27 Paper 7 COMPARATIVE PERFORMANCE OF WIND ENERGY CONVERSION SYSTEM (WECS) WITH PI CONTROLLER USING HEURISTIC OPTIMIZATION ALGORITHMS
More informationDirectional Overcurrent Relays Coordination Restoration by Reducing Minimum Fault Current Limiter Impedance
Journal of Energy and Power Engineering 8 (2014) 1132-1141 D DAVID PUBLISHING Directional Overcurrent Relays Coordination Restoration by Reducing Minimum Fault Current Limiter Impedance Saadoun Abdel Aziz
More informationVolume 2, Number 4, 2016 Pages Jordan Journal of Electrical Engineering ISSN (Print): , ISSN (Online):
JJEE Volume, Number 4, 6 Pages - Jordan Journal of Electrical Engineering ISSN (Print): 49-96, ISSN (Online): 49-969 Enhancement of Voltage Stability and Line Loadability by Reconfiguration of Radial Electrical
More informationOptimal Allocation of FACTS Devices in Power Networks Using Imperialist Competitive Algorithm (ICA)
Optimal Allocation of FACTS Devices in Power Networks Using Imperialist Competitive Algorithm (ICA) A thesis submitted for the degree of Doctor of Philosophy By Mohammad Shahrazad Supervised by Dr. Ahmed
More informationSTATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm
Journal of Operation and Automation in Power Engineering, Vol., No., March 03 STATCOM Optimal Allocation in Transmission Grids Considering Contingency Analysis in OPF Using BF-PSO Algorithm R. Kazemzadeh*,
More informationOPTIMAL PLACEMENT OF UNIFIED POWER QUALITY CONDITIONER IN DISTRIBUTION SYSTEMS USING PARTICLE SWARM OPTIMIZATION METHOD
OPTIMAL PLACEMENT OF UNIFIED POWER QUALITY CONDITIONER IN DISTRIBUTION SYSTEMS USING PARTICLE SWARM OPTIMIZATION METHOD M. Laxmidevi Ramanaiah and M. Damodar Reddy Department of E.E.E., S.V. University,
More informationOptimal Positioning and Sizing of DG Units Using Differential Evolution Algorithm
Optimal Positioning and Sizing of DG Units Using Differential Evolution Algorithm Ravi 1, Himanshu Sangwan 2 Assistant Professor, Department of Electrical Engineering, D C R University of Science & Technology,
More informationOPTIMAL PLACEMENT AND SIZING OF UNIFIED POWER FLOW CONTROLLER USING HEURISTIC TECHNIQUES FOR ELECTRICAL TRANSMISSION SYSTEM
OPTIMAL PLACEMENT AND SIZING OF UNIFIED POWER FLOW CONTROLLER USING HEURISTIC TECHNIQUES FOR ELECTRICAL TRANSMISSION SYSTEM R. Siva Subramanyam Reddy 1, T. Gowri Manohar 2 and Moupuri Satish Kumar Reddy
More informationDISTRIBUTION NETWORK RECONFIGURATION FOR LOSS MINIMISATION USING DIFFERENTIAL EVOLUTION ALGORITHM
DISTRIBUTION NETWORK RECONFIGURATION FOR LOSS MINIMISATION USING DIFFERENTIAL EVOLUTION ALGORITHM K. Sureshkumar 1 and P. Vijayakumar 2 1 Department of Electrical and Electronics Engineering, Velammal
More informationPower System Stability Enhancement Using Static Synchronous Series Compensator (SSSC)
Vol. 3, Issue. 4, Jul - Aug. 2013 pp-2530-2536 ISSN: 2249-6645 Power System Stability Enhancement Using Static Synchronous Series Compensator (SSSC) B. M. Naveen Kumar Reddy 1, Mr. G. V. Rajashekar 2,
More informationIPSO Algorithm for Maximization of System Loadability, Voltage Stability and Loss Minimisation by Optimal DG Placement
Algorithm for Maximization of System Loadability, Voltage Stability and Loss Minimisation by Optimal DG Placement N. Prema Kumar 1, K. Mercy Rosalina Associate Professor, Department of Electrical Engineering,
More informationCHAPTER 4 POWER QUALITY AND VAR COMPENSATION IN DISTRIBUTION SYSTEMS
84 CHAPTER 4 POWER QUALITY AND VAR COMPENSATION IN DISTRIBUTION SYSTEMS 4.1 INTRODUCTION Now a days, the growth of digital economy implies a widespread use of electronic equipment not only in the industrial
More informationAN ADVANCED REACTIVE POWER MANAGEMENT SYSTEM FOR THE SEOUL METROPOLITAN POWER SYSTEM
AN ADVANCED REACTIVE POWER MANAGEMENT SYSTEM FOR THE SEOUL METROPOLITAN POWER SYSTEM Scott G. Ghiocel 1, Sangwook Han 2, Byung-Hoon Chang 3, Yong-gu Ha 3, Byong-Jun Lee 2, Joe H. Chow 1, and Robert Entriken
More informationOptimal Sizing and Placement of DG in a Radial Distribution Network using Sensitivity based Methods
Optimal Sizing and Placement of DG in a Radial Distribution Network using Sensitivity based Methods Nitin Singh 1, Smarajit Ghosh 2, Krishna Murari 3 EIED, Thapar university, Patiala-147004, India Email-
More informationOptimum Coordination of Overcurrent Relays: GA Approach
Optimum Coordination of Overcurrent Relays: GA Approach 1 Aesha K. Joshi, 2 Mr. Vishal Thakkar 1 M.Tech Student, 2 Asst.Proff. Electrical Department,Kalol Institute of Technology and Research Institute,
More informationAddress for Correspondence
Research Paper A NOVEL APPROACH FOR OPTIMAL LOCATION AND SIZING OF MULTI-TYPE FACTS DEVICES FOR MULTI-OBJECTIVE VOLTAGE STABILITY OPTIMIZATION USING HYBRID PSO-GSA ALGORITHM 1 Dr. S.P. Mangaiyarkarasi,
More informationOptimal Location of Series FACTS Device using Loss Sensitivity Indices. 3.2 Development of Loss Sensitivity Indices
Chapter 3 Optimal Location of Series FACTS Device using Loss Sensitivity Indices 3.1 Introduction The location and sizing of series FACTS devices constitute a major step in the application of FACTS devices.
More information1 st Langaroud, s Conference On Electrical Engineering (LCEE2015) Mohammad Azimi Ashpazi University of Tabriz Tabriz, Iran
An Approach to Determine the Optimal Location of Thyristor-controlled Phase Shifting Transformer to Improve Transient Stability in Electric Power System Mohammad Azimi Ashpazi University of Tabriz Tabriz,
More informationIdentification of weak buses using Voltage Stability Indicator and its voltage profile improvement by using DSTATCOM in radial distribution systems
IOSR Journal of Electrical And Electronics Engineering (IOSRJEEE) ISSN : 2278-1676 Volume 2, Issue 4 (Sep.-Oct. 2012), PP 17-23 Identification of weak buses using Voltage Stability Indicator and its voltage
More informationDesign Of PID Controller In Automatic Voltage Regulator (AVR) System Using PSO Technique
Design Of PID Controller In Automatic Voltage Regulator (AVR) System Using PSO Technique Vivek Kumar Bhatt 1, Dr. Sandeep Bhongade 2 1,2 Department of Electrical Engineering, S. G. S. Institute of Technology
More informationComparative performance of wind energy conversion system (WECS) with PI controller using heuristic optimisation algorithms
24th International Conference & Exhibition on Electricity Distribution (CIRED) 12-15 June 2017 Session 2: Power quality and electromagnetic compatibility Comparative performance of wind energy conversion
More informationAvailable online at ScienceDirect. Procedia Computer Science 92 (2016 ) 36 41
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 92 (2016 ) 36 41 2nd International Conference on Intelligent Computing, Communication & Convergence (ICCC-2016) Srikanta
More informationA Novel Multistage Genetic Algorithm Approach for Solving Sudoku Puzzle
A Novel Multistage Genetic Algorithm Approach for Solving Sudoku Puzzle Haradhan chel, Deepak Mylavarapu 2 and Deepak Sharma 2 Central Institute of Technology Kokrajhar,Kokrajhar, BTAD, Assam, India, PIN-783370
More information1 Introduction General Background The New Computer Environment Transmission System Developments Theoretical Models and Computer Programs
Modeling Techniques in Power Systems 1 General Background The New Computer Environment Transmission System Developments Theoretical Models and Computer Programs 2 Transmission Systems Linear Transformation
More informationEvolutionary Optimization for the Channel Assignment Problem in Wireless Mobile Network
(649 -- 917) Evolutionary Optimization for the Channel Assignment Problem in Wireless Mobile Network Y.S. Chia, Z.W. Siew, S.S. Yang, H.T. Yew, K.T.K. Teo Modelling, Simulation and Computing Laboratory
More informationOPTIMAL ALLOCATION OF FACTS DEVICES WITH MULTIPLE OBJECTIVES USING SIMPLE GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION METHOD
OPTIMAL ALLOCATION OF FACTS DEVICES WITH MULTIPLE OBJECTIVES USING SIMPLE GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION METHOD D.Venugopal 1 and A.Jayalaxmi 2 1 Associate Professor, Department of EEE
More informationA Heuristic Approach to Reduce the Loss of Congested Distribution Line via FACTS Devices
A Heuristic Approach to Reduce the Loss of Congested Distribution Line via FACTS Devices H.IRANMANESH, M.RASHIDI-NEJAD Islamic Azad University, Branch Jiroft, Iran Shahid Bahonar University of Kerman,
More informationMadurai, Tamilnadu, India *Corresponding author. Madurai, Tamilnadu, India ABSTRACT
International Journal of Electrical Engineering. ISSN 0974-2158 Volume 7, Number 2 (2014), pp. 211-226 International Research Publication House http://www.irphouse.com Power Quality Improvement of Distribution
More informationOptimal Placement of Shunt Connected Facts Device in a Series Compensated Long Transmission Line
Journal of Agriculture and Life Sciences Vol. 1, No. 1; June 2014 Optimal Placement of Shunt Connected Facts Device in a Series Compensated Long Transmission Line Sudhakar. Muthyala EEE Dept. University
More informationOptimal Placement of Unified Power Flow Controllers to Improve Dynamic Voltage Stability Using Power System Variable Based Voltage Stability Indices
RESEARCH ARTICLE Optimal Placement of Unified Power Flow Controllers to Improve Dynamic Voltage Stability Using Power System Variable Based Voltage Stability Indices Fadi M. Albatsh 1 *, Shameem Ahmad
More informationThe Influence of Thyristor Controlled Phase Shifting Transformer on Balance Fault Analysis
Vol.2, Issue.4, July-Aug. 2012 pp-2472-2476 ISSN: 2249-6645 The Influence of Thyristor Controlled Phase Shifting Transformer on Balance Fault Analysis Pratik Biswas (Department of Electrical Engineering,
More informationAvailable Transfer Capability Enhancement with FACTS Devices in the Deregulated Electricity Market
14 Journal of Electrical Engineering & Technology Vol. 6, No. 1, pp. 14~24, 2011 DOI: 10.5370/JEET.2011.6.1.014 Available Transfer Capability Enhancement with FACTS Devices in the Deregulated Electricity
More informationAnalysing the effects of different types of FACTS devices on the steady-state performance of the Hydro-Québec network
Published in IET Generation, Transmission & Distribution Received on 7th May 2013 Revised on 4th July 2013 Accepted on 20th August 2013 Analysing the effects of different types of FACTS devices on the
More informationII. RESEARCH METHODOLOGY
Comparison of thyristor controlled series capacitor and discrete PWM generator six pulses in the reduction of voltage sag Manisha Chadar Electrical Engineering Department, Jabalpur Engineering College
More informationA NEW EVALUTIONARY ALGORITHMS USED FOR OPTIMAL LOCATION OF UPFC ON POWER SYSTEM
A NEW EVALUTIONARY ALGORITHMS USED FOR OPTIMAL LOCATION OF ON POWER SYSTEM 1 K. VENKATESWARLU, 2 CH. SAIBABU 1 Associate professor in EEE Dept., M L Engg. College. S.Konda, Prakasam (Dt.), A.P.,India.
More informationA VOLTAGE SAG/SWELL ALONG WITH LOAD REACTIVE POWER COMPENSATION BY USING SERIES INVERTER of UPQC-S
A VOLTAGE SAG/SWELL ALONG WITH LOAD REACTIVE POWER COMPENSATION BY USING SERIES INVERTER of UPQC-S M.L.SAMPATH KUMAR*1, FIROZ-ALI-MD*2 M.Tech Student, Department of EEE, NCET, jupudi, Ibrahimpatnam, Vijayawada,
More informationGlobal Voltage Stability Analysis of a Power System Using Network Equivalencing Technique in the Presence of TCSC
Leonardo Electronic Journal of Practices and Technologies ISSN 1583-1078 Issue 16, January-June 2010 p. 53-68 Global Voltage Stability Analysis of a Power System Using Network Equivalencing Technique in
More informationABSTRACT. SHI, YUE. Integrated Volt/Var Control on Smart Distribution Systems. (Under the direction of Dr. Mesut Baran).
ABSTRACT SHI, YUE. Integrated Volt/Var Control on Smart Distribution Systems. (Under the direction of Dr. Mesut Baran). This study investigates the integrated Volt/Var Control (VVC) on smart distribution
More informationSensitivity Analysis for 14 Bus Systems in a Distribution Network With Distributed Generators
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 3 Ver. I (May Jun. 2015), PP 21-27 www.iosrjournals.org Sensitivity Analysis for
More informationHARMONIC currents may be injected in a utility customer s
IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 19, NO. 1, JANUARY 2004 331 LC Compensators for Power Factor Correction of Nonlinear Loads Mohamed Mamdouh Abdel Aziz, Member, IEEE, Essam El-Din Abou El-Zahab,
More informationSTATCOM Tuned Based on Tabu Search for Voltage Support in Power Systems
J. Basic. Appl. Sci. Res., 1(10)1334-1341, 2011 2011, TextRoad Publication ISSN 2090-424X Journal of Basic and Applied Scientific Research www.textroad.com STATCOM Tuned Based on Tabu Search for Voltage
More informationA general quadratic programming method for the optimisation of genetic contributions using interior point algorithm. R Pong-Wong & JA Woolliams
A general quadratic programming method for the optimisation of genetic contributions using interior point algorithm R Pong-Wong & JA Woolliams Introduction Inbreeding is a risk and it needs to be controlled
More informationVoltage Controller for Radial Distribution Networks with Distributed Generation
International Journal of Scientific and Research Publications, Volume 4, Issue 3, March 2014 1 Voltage Controller for Radial Distribution Networks with Distributed Generation Christopher Kigen *, Dr. Nicodemus
More informationGenetic Algorithms as a Reactive Power Source Dispatching Aid for Voltage Security Enhancement
Proc. Natl. Sci. Counc. ROC(A) Vol. 25, No. 1, 2001. pp. 53-62 Genetic Algorithms as a Reactive Power Source Dispatching Aid for Voltage Security Enhancement CHIH-WEN LIU *, CHEN-SUNG CHANG *, AND JOE-AIR
More informationCOST EFFECTIVE SOLUTION FOR OPTIMAL PLACEMENT AND SIZE OF MULTIPLE STATCOM USING PARTICLE SWARM OPTIMIZATION
2005-204 JATIT & LLS. All rights reserved. ISSN: 992-8645 www.jatit.org E-ISSN: 87-395 COST EFFECTIVE SOLUTION FOR OPTIMAL PLACEMENT AND SIZE OF MULTIPLE STATCOM USING PARTICLE SWARM OPTIMIZATION K. KUMARASAMY,
More informationArvind Pahade and Nitin Saxena Department of Electrical Engineering, Jabalpur Engineering College, Jabalpur, (MP), India
e t International Journal on Emerging Technologies 4(1): 10-16(2013) ISSN No. (Print) : 0975-8364 ISSN No. (Online) : 2249-3255 Control of Synchronous Generator Excitation and Rotor Angle Stability by
More informationNeural Network based Multi-Dimensional Feature Forecasting for Bad Data Detection and Feature Restoration in Power Systems
Neural Network based Multi-Dimensional Feature Forecasting for Bad Data Detection and Feature Restoration in Power Systems S. P. Teeuwsen, Student Member, IEEE, I. Erlich, Member, IEEE, Abstract--This
More information