Modeling and Simulation of Load Frequency Control for Three Area Power System Using Proportional Integral Derivative (PID) Controller

Similar documents
Control of Load Frequency of Power System by PID Controller using PSO

Load Frequency and Voltage Control of Two Area Interconnected Power System using PID Controller. Kavita Goswami 1 and Lata Mishra 2

NEURAL NETWORK BASED LOAD FREQUENCY CONTROL FOR RESTRUCTURING POWER INDUSTRY

The Effect of Fuzzy Logic Controller on Power System Stability; a Comparison between Fuzzy Logic Gain Scheduling PID and Conventional PID Controller

EE 742 Chapter 9: Frequency Stability and Control. Fall 2011

TWO AREA CONTROL OF AGC USING PI & PID CONTROL BY FUZZY LOGIC

Automatic Generation Control of Two Area using Fuzzy Logic Controller

Governor with dynamics: Gg(s)= 1 Turbine with dynamics: Gt(s) = 1 Load and machine with dynamics: Gp(s) = 1

AUTOMATIC VOLTAGE REGULATOR AND AUTOMATIC LOAD FREQUENCY CONTROL IN TWO-AREA POWER SYSTEM

Load Frequency Control of Three Different Area Interconnected Power Station using Pi Controller

Load Frequency Control in an Interconnected Hydro Hydro Power System with Superconducting Magnetic Energy Storage Units

1. Governor with dynamics: Gg(s)= 1 2. Turbine with dynamics: Gt(s) = 1 3. Load and machine with dynamics: Gp(s) = 1

Analysis and Comparison of Speed Control of DC Motor using Sliding Mode Control and Linear Quadratic Regulator

International Journal of Scientific & Engineering Research, Volume 6, Issue 6, June-2015 ISSN

LOAD FREQUENCY CONTROL FOR TWO AREA POWER SYSTEM USING DIFFERENT CONTROLLERS

AUTOMATIC GENERATION CONTROL OF INTERCONNECTED POWER SYSTEM WITH THE DIVERSE SOURCES USING SUPERCONDUCTING MAGNETIC ENERGY STORAGE (SMES)

Load frequency control in Single area with traditional Ziegler-Nichols PID Tuning controller

LFC in hydro thermal System Using Conventional and Fuzzy Logic Controller

International Journal of Advance Engineering and Research Development. Fuzzy Logic Based Automatic Generation Control of Interconnected Power System

CDS 101/110: Lecture 9.1 Frequency DomainLoop Shaping

ROBUST TECHNIQUE LFC OF TWO-AREA POWER SYSTEM WITH DYNAMIC PERFORMANCE OF COMBINED SMES AND SSSC CONTROL

CHAPTER 1 INTRODUCTION

Performance Analysis of PSO Optimized Fuzzy PI/PID Controller for a Interconnected Power System

Improvement in Dynamic Response of Interconnected Hydrothermal System Using Fuzzy Controller

AUTOMATIC GENERATION CONTROL OF REHEAT THERMAL GENERATING UNIT THROUGH CONVENTIONAL AND INTELLIGENT TECHNIQUE

A new approach for Tuning of PID Load Frequency Controller of an Interconnected Power System

Load Frequency Control of Multi-Area Power System with PI Controller

Transient Stability Improvement Of LFC And AVR Using Bacteria Foraging Optimization Algorithm

Automatic Generation control of interconnected hydrothermal power plant Using classical and soft computing Technique

Load Frequency Controller Design for Interconnected Electric Power System

Design of PI Controller using MPRS Method for Automatic Generation Control of Hydropower System

Stability Control of an Interconnected Power System Using PID Controller

Load frequency control of interconnected system

Automatic Voltage Control For Power System Stability Using Pid And Fuzzy Logic Controller

Effect of Non-linearities in Fuzzy Based Load Frequency Control

Homework Assignment Consider the circuit shown. Assume ideal op-amp behavior. Which statement below is true?

Microphonics. T. Powers

Design of GA Tuned Two-degree Freedom of PID Controller for an Interconnected Three Area Automatic Generation Control System

CHAPTER 4 LOAD FREQUENCY CONTROL OF INTERCONNECTED HYDRO-THERMAL SYSTEM

Automatic Generation Control of Three Area Power Systems Using Ann Controllers

MATLAB Simulink Based Load Frequency Control Using Conventional Techniques

Automatic Control Motion control Advanced control techniques

CDS 101/110: Lecture 8.2 PID Control

Experiment 9. PID Controller

Decentralized Model Predictive Load Frequency Control of deregulated power systems in tough situations

Load Frequency Control of Multi Area Hybrid Power System Using Intelligent Controller Based on Fuzzy Logic

Design Of PID Controller In Automatic Voltage Regulator (AVR) System Using PSO Technique

Lecture 15 EMS Application II Automatic Generation Contol. Davood Babazadeh

The Pitch Control Algorithm of Wind Turbine Based on Fuzzy Control and PID Control

An intelligent fuzzy logic controller applied to multi-area load frequency control

Project Advisor : Dr. Abdulla Ismail

AGC in Five Area Interconnected Power System of Thermal Generating Unit Through Fuzzy Controller

Automatic load frequency control of multi-area power system using ANN controller and Genetic algorithm

Transient stability improvement by using shunt FACT device (STATCOM) with Reference Voltage Compensation (RVC) control scheme

Load Frequency Control of Interconnected Hydro-Thermal Power System Using Fuzzy and Conventional PI Controller

2. Basic Control Concepts

Integration Intelligent Estimators to Disturbance Observer to Enhance Robustness of Active Magnetic Bearing Controller

CHAPTER 5 PSO AND ACO BASED PID CONTROLLER

Load Frequency Control of Multi-Area Power Systems Using PI, PID, and Fuzzy Logic Controlling Techniques

A Real-Time Regulator, Turbine and Alternator Test Bench for Ensuring Generators Under Test Contribute to Whole System Stability

Automatic Load Frequency Control of Two Area Power System Using Proportional Integral Derivative Tuning Through Internal Model Control

Arvind Pahade and Nitin Saxena Department of Electrical Engineering, Jabalpur Engineering College, Jabalpur, (MP), India

Performance Analysis on Transmission Line for Improvement of Load Flow

ANGLE MODULATION. U1. PHASE AND FREQUENCY MODULATION For angle modulation, the modulated carrier is represented by

Diode Circuits Recent GATE Problems

SSRG International Journal of Electrical and Electronics Engineering ( SSRG IJEEE ) Volume 3 Issue 1 January 2016

Performance Analysis of Conventional Controllers for Automatic Voltage Regulator (AVR)

LOAD FREQUENCY CONTROL FOR A TWO-AREA INTERCONNECTED POWER SYSTEM BY USING SLIDING MODE CONTROLLER

Frequency Response Characteristic Survey Training Document

Load frequency control in two area multi units Interconnected Power System using Multi objective Genetic Algorithm

Design and Analysis for Robust PID Controller

Comparative Study of PID and Fuzzy Controllers for Speed Control of DC Motor

Intelligent Automatic Generation Control

Practical Consideration for Lock-in Thermography Effective Spatial Resolution

Performance Improvement Of AGC By ANFIS

LOAD FREQUENCY CONTROL FOR THREE AREA SYSTEM WITH TIME DELAYS USING FUZZY LOGIC CONTROLLER

Load Frequency Control for Hydropower Plants using PID Controller

CHAPTER 6 ANFIS BASED NEURO-FUZZY CONTROLLER

Load Frequency Control of Three Area System using FOPID Controller

Voltage-MPPT Controller Design of Photovolatic Array System Using Fuzzy Logic Controller

GENETIC ALGORITHM BASED OPTIMAL LOAD FREQUENCY CONTROL IN TWO-AREA INTERCONECTED POWER SYSTEMS

ADVANCES in NATURAL and APPLIED SCIENCES

EH2741 Communication and Control in Electric Power Systems Lecture 2

Load Frequency Control of an Interconnected Power System using. Grey Wolf Optimization Algorithm with PID Controller

6545(Print), ISSN (Online) Volume 4, Issue 1, January- February (2013), IAEME & TECHNOLOGY (IJEET)

A Novel Control Approach for Microgrids Islanded Operation - Load Step Pre-announcement and Bang-Bang Control

Analysis of Effect on Transient Stability of Interconnected Power System by Introduction of HVDC Link.

MODELING AND ANALYSIS OF THREE AREA THERMAL POWER SYSTEM USING CONVENTIONAL CONTROLLERS

STABILITY IMPROVEMENT OF POWER SYSTEM BY USING PSS WITH PID AVR CONTROLLER IN THE HIGH DAM POWER STATION ASWAN EGYPT

CHAPTER 4 ON LINE LOAD FREQUENCY CONTROL

COMPUTATION OF STABILIZING PI/PID CONTROLLER FOR LOAD FREQUENCY CONTROL

Knowledge-based Adaptive Frequency Control of Gas Turbine Generator Model for Multi-machine Power System

Stability Analysis of AGC in the Norwegian Energy System Telemark University College

Position Control of DC Motor by Compensating Strategies

Table of Contents Error! Bookmark not defined.

Artificial Intelligent and meta-heuristic Control Based DFIG model Considered Load Frequency Control for Multi-Area Power System

CONSENSUS BASED DISTRIBUTED CONTROL IN MICRO-GRID CLUSTERS

System Protection Schemes in Power Network based on New Principles

PROCESS DYNAMICS AND CONTROL

IMPLEMENTATION OF NEURAL NETWORK IN ENERGY SAVING OF INDUCTION MOTOR DRIVES WITH INDIRECT VECTOR CONTROL

Transcription:

American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) ISSN (Print) 2313-441, ISSN (Online) 2313-442 Global Society of Scientific Research and Researchers http://asrjetsjournal.org/ Modeling and Simulation of Load Frequency Control for Three Area Power System Using Proportional Integral Derivative (PID) Controller Sat Sat Aung a *, Zaw Min Htike b a,b Department of Electrical Power Engineering, Mandalay Technological University Mandalay, Myanmar a Email: satsataung.ep@gmail.com b Email: zawminhtike147@gmail.com Abstract The impacts of three area power system restructuring on frequency regulation are simulated in this paper. A well tested classical load frequency control model to the improvement of power system operation is also presented. A robust three area power system is presented for frequency and tie-line power deviation. This simulation model is developed with and without PID controller. Using a control strategy, the system is transferred from an initial state to the final state without any oscillations in frequency and tie line power deviation. That is, the final steady state is reduced to zero error. These results are compared with and without integral controller for three area power system in terms of load disturbance in each area. For this application, MATLAB/ SIMULINK software is used. Keywords: Load Frequency Control (LFC); Tie-line Power Flow Control; PID Controller; Three Area Power System; Automatic Generation Control (AGC). 1. Introduction Power systems are very large and complex electrical networks consisting of generation networks, transmission networks and distribution networks along with loads. In the power system, the system load keeps changing from time to time according to the needs of the consumers. So designed controllers are required for the regulation of the system variations in order to maintain the stability of the power system and its reliable operation. ------------------------------------------------------------------------ * Corresponding author. 31

Frequency is greatly depends on active power and the voltage greatly depends on the reactive power. The active power control and the frequency control are generally known as the Automatic Load Frequency Control (ALFC). Basically the ALFC deals with the regulation of the real power output of the generator and its frequency (speed). The primary control loop reacts to frequency changes through the speed governor and the steam flow is managed accordingly to the real power generation to relatively fast load variations. Thus maintain a megawatt balance and this primary loop performs a course speed or frequency control. The secondary loop is slower compared to the primary loop. The secondary loop maintains the excellent regulation of the frequency. Because of the change in the active power demand/load in an area, tie-line power flows from the interconnected areas and frequency of the system changes and thus the system becomes unstable. So we need Automatic Load Frequency Control to keep up the stability at the time of the load deviations. This is done by minimizing transient deviations of frequency in addition to tie-line power exchange and also making the steady state error to zero.inequality involving generation with demand causes frequency deviations. If the frequency is not maintained within the scheduled values then it may lead on the way to tripping of the lines, system collapse as well as blackouts. The blades of the steam turbine and the water turbines are designed to operate at a particular speed and the frequency variations will cause change in the speed. This will lead to excessive vibration and cause damage to the turbine blades. In the common steady state process, every power systems control area must try to counterbalance for the demand in power by the flow of tie-line power through the interconnected lines. But an area is alert of the dominance of its nearby areas by determining the flow in and flow out of power by the side of its boundaries which is commonly known as the tie-line power [1]. 2. Secondary Control Loop In an isolated power system, automatic secondary control may be implemented as a decentralized control function by adding a supplementary control loop to the turbine-governor system. The supplementary control loop consists of an integrating element which adds a control signal that is proportional to the integral of the speed error to the load reference point. In interconnected power systems, Automatic Generation Control (AGC) is implemented in such a way that each area, or subsystem, has its own central regulator [2]. The objective of each area regulator is to maintain frequency at the scheduled level and to maintain net tie-line interchanges from the given area at the scheduled values. If there is a large power balance disturbance in one subsystem, then regulators in each area should try to restore the frequency and net tie-line interchanges. In other words, each area regulator should enforce an increased generation covering its own area power imbalance and maintain planned net tie-line interchanges. Area Control Error (ACE) corresponds to the power by which the total area power generation must be changed in order to maintain both the frequency and the tie-line flows at their scheduled values. 32

Figure 1: Power System Frequency Control Loop [4] 3. Tie-Line Interconnected Three Area Power System Three area power system as shown in Fig (2) comprises three areas that are interconnected by high voltage transmission line or tie-lines. The trend of power frequency measured in each control area is an indicator of the trend of the mismatch power in the interconnection. The LFC system in each control area of an interconnected power system should control the interchange power with the other control areas and its local frequency. Therefore, LFC system model must be modified by taking into account the tie-line power. The system operates under three area power system, taking into consideration the change in load in each area. The model for three area power system including the secondary control loop is shown in Fig (3) below [11]. Figure 2: Multi Area Power System Control [5] The model for three area power system including the secondary control loop is shown below. The system 33

operates under three area power system, taking into consideration the change in load in each area Figure 3: Control Area with Supplementary Frequency Control [5] ( I ) Considering the effect of primary and secondary control s, the system frequency can be obtained as 1 nn ff ii (s) = [ PP 2HH ii SS+DD kk=1 mmmmmm (ss) PP tttttt ii (ss) PP LLLL (ss)] (1) ii By resolving the equation (1) into partial friction yield, ff ii (ss) = ff ssss,ii (2) By inverse Laplace transform, ff ii (tt) = ff ssss,ii (1 ee ττ iitt ) (3) Where, ττ ii = DD iirr ii +1 2HH ii RR ii ( II ) Tie - line power flow among three area power system can be written as PP 12 = EE 1 EE 2 XX 12 ssssssδδ 12 (4) PP 23 = EE 2 EE 3 XX 23 ssssssδδ 23 (5) 34

PP 13 = EE 1 EE 3 XX 13 ssssssδδ 13 (6) And, tie - line power deviation among three area power system can be written as PP tttttt 12 = TT 12 [ δδ1 (ss) (7) PP tttttt 23 = TT 23 [ δδ2 (ss) δδ3 (ss) (8) PP tttttt 13 = TT 13 [ δδ1 (ss) δδ3 (ss)] (9) The Laplace transform of equations (4),(5)&(6) are PP tttttt 12 (ss) = 2ππ TT 12 [ ss ff1 (ss) ff2 (ss)] (1) PP tttttt 23 (ss) = 2ππππ 23 [ ss ff2 (ss) ff3 (ss)] (11) PP tttttt 13 (ss) = 2ππTT 13 [ ss ff1 (ss) ff3 (ss)] (12) PP tttttt,ii = NN jj=1 PP tttttt,iiii JJ ii = 2ππ [ NN TT ss jj=1 iiii jj ii ff ii NN jj=1 jj ii TT iiii ff jj ] (13) Where, TT iijj is the slope of the power angle curve at the initial operating angle, TT iiii = EE 1 EE 2 PPPP1 XX 12 cccccc δδ 12 (14) PP rrrr = Rated capacity of each area αα 12 = PP rr1 PPrr 2 (15) αα 23 = PP rr2 PPrr 3 (16) αα 13 = PP rr1 PPrr 3 (17) PP 21 = αα 12 PP 21 (18) PP 31 = αα 13 PP 13 (19) PP 32 = αα 23 PP 23 (2) (iii) For a case of three area connected via a transmission line, the change in each mechanical power is 35

PP mm1 = _ ωω RR 1 (21) PP mm2 = ωω RR 2 (22) PP mm3 = ωω RR 3 (23) (iv) Frequency response characteristics (β) for each area ββ 1 = DD 1 + 1 RR 1 (24) ββ 2 = DD 2 + 1 RR 2 (25) ββ 3 = DD 3 + 1 RR 3 (26) Thus, frequency deviation for load change of each area ωω1 = _ PPPP 1 ββ 1 +ββ 2 +ββ 3 (27) ωω2 = _ PPPP 2 ββ 1 +ββ 2 +ββ 3 (28) ωω2 = _ PPPP 3 ββ 1 +ββ 2 +ββ 3 (29) 4. Area Control Error (ACE) The integral control is composed of a frequency sensor and an integrator. The frequency sensor measures the frequency error and this error signal is fed into the integrator. The input to the integrator is called the area control error (ACE). ACEs are used as actuating signals to active changes in the reference power set points and when steady state is reached, PP 12 and ωω will be zero. ACE changes the frequency in each area and forces the steady state frequency error to zero. ACE is the combination of deviation in frequency and tie-line power. When all areas have zero ACEs, net interchange and frequency deviation will be zero steady state error but frequency bias factor will work (ββ ). ACE measures area load change and give us good control. If ACE <, we must increase generation ACE >, we must decrease generation ACE =, the system is stable and no steady state error [7]. 36

βi Integral Control Scheme ΔPe + + ACE i -Ki Ui Control Area 1 Δf i Δp tie i Figure 4: Area Control Error Generating System AAAAAA 1 = PP 12 + ββ 1 ωω1 AAAAAA 2 = PP 23 + ββ 2 ωω2 AAAAAA 3 = PP 31 + ββ 3 ωω3 5. Proportional Integral Derivative (PID) Controller PID controller is widely used in industrial control system as a control loop fed back. It calculates an error between the measures process variable and desired set point. PID parameters are tuned to ensure a satisfactory closed loop performance. It is used to improve the dynamic performance and to reduce the steady state error The value of gains (K p, K i, K d ) are automatically achieved by tuning in Matlab simulation model. K p is used to decrease the rise time. K d is used to reduce the overshoot and setting time. K i is to eliminate the steady state error. The theory of area control error related to the PID control system is as follows [6]. Proportional term, PP oooooo = KK pp ee(tt) Integral term, TT II oooooo = KK ii ee(tt) dddd Derivative term, DD oooooo = KK dd dd dddd ee(tt) Where, KK pp = PPPPPPPPPPPPPPPPPPPPPPPP gggggggg KK ii = IIIIIIIIIIIIIIII gggggggg KK dd = DDDDDDDDDDDDDDDDDD gggggggg 37

UU ii = KK pppp AAAAAA ii + KK IIII AAAAAA ii dddd + KK dddd ddaaaaaa ii dddd Figure 5: Conventional PID Controller [9] 6. Simulation Results The simulation has been conducted in Matlab Simulink package for three area power system by using PID controller. Tie-line parameters for three area power system are described in Table (1) without controller and Table (2) with controller. The simulation models for three area power system without controller and with controller are shown in fig (6) and (7) respectively. In this paper the simulation performance of frequency deviation and rate of change of tie line power flow for each areas are described. The results are shown in comparison with and without PID controller. This shows the output waveform of the system which describe the frequency deviation in terms of a sudden load change in each area. The (PID) controller is used to maintain zero steady-state errors for frequency deviation. Without using the (PID) control, the system cannot maintain zero steady state error for long time. Table i: Tie-line connected three area power station parameters for simulation model of without controller Description Area 1 Area 2 Area 3 System frequency, f 5Hz 5Hz 5Hz Governor gain constant, K 15 2 16 Governor time constant,.8sec.3sec.2sec Turbine Time Constant,.3sec.6s.6s Governor Inertia Constant, H 5sec 4sec 4sec Governor Speed Regulation, R.5pu.625pu.625pu The Sudden Load Change, PPPP 1 MW 1MW - The Frequency Sensitive Load, D 1.6.9 38

Table ii: Tie-line connected three area power station parameters for simulation model of with controller Description Area 1 Area 2 Area 3 System frequency, f 5Hz 5Hz 5Hz Governor gain constant, K 17 2 16 Proportional gain constant, KK pp 17.8 2.5 Integral gain constant, KK ii 7.53 16 5.3 Derivative gain constant, KK dd -4 Governor time constant, ττ gg.8sec.2sec.3sec Turbine Time Constant, ττ tt.3 sec.5s.6s Governor Inertia Constant, H 1sec 5sec 4sec Governor Speed Regulation, R.5pu.625pu.625pu The Sudden Load Change, PPPP The Frequency Sensitive Load, D 1 MW 1MW - 1.6.9 Figure 6:.Simulation Model of Three Area Power System without PID controller 39

Figure 7: Simulation Model of Three Area Power System without PID controller (A) Simulation Results of frequency Deviation for load change of area 1 with and without controller.3.2.1 ω 1 ω 2 ω 3 -.1 -.2 -.3 -.4 -.5 -.6 5 1 15 2 25 3 Figure 8: Three Area Frequency Deviation for Load Change of 1 MW in Area 1 without controller 31

.8 ω 1.6 ω 2 ω 3.4.2 -.2 -.4 -.6 5 1 15 2 25 3 Figure 9: Three Area Frequency Deviation for Load Change of 1 MW in Area 1 with controller Fig (8) and Fig (9) shows the comparison of frequency deviation for load change of area 1 with and without PID controller. When area 1 load is changed without using PID controller, the frequency deviations (ff 1 = 47.25HHHH, ff 2 = 48.5HHHH, ff 3 = 48.75HHHH ) occur in all three areas. After using PID controller, frequency deviation occurs only in load changing area 1 and there is no frequency deviation (ff 1 = ff 2 = 5Hz) for both area 2 and area 3.PID controller gives smooth performance and reduces steady state error to maintain the nominal frequency. (B) Simulation results of tie-line power deviation for load change of area 1 with and without controller.6 P tie12.5 P tie13 P tie23.4.3.2.1 -.1 5 1 15 2 25 3 Figure 1: Three Area tie-line power deviation for Load Change of 1 MW in Area 1 without controller.4 P tie12.3 P tie13 P tie23.2.1 -.1 -.2 -.3 5 1 15 2 25 3 Figure 11: Three Area tie-line power deviation for Load Change of 1 MW in Area 1 with controller 311

Fig (1) and Fig (11) shows the comparison of tie-line power deviation for load change of area 1 with and without PID controller. When area 1 load is changed without using PID controller, the tie-line power deviation error ( PP tttttt 12 =.5pppp, PP tttttt23 =.5 pppp, PP tttttt 13 =.3PPPP ) occur in all three areas. After using PID controller, tie-line power deviation occurs only in load changing area 1 and there is no power deviation ( PP tttttt 12 = PP tttttt 13 =.35PPPP, PP tttttt23 = pppp) from area 2 to area 3. PID controller gives smooth performance and reduces tie-line deviation error to zero. (C) Simulation Results of frequency Deviation for load change of area 2 with and without controller.3.2.1 ω 1 ω 2 ω 3 -.1 -.2 -.3 -.4 -.5 -.6 5 1 15 2 25 3 Figure 12: Three Area frequency deviation for Load Change of 1 MW in Area 2 without controller.6 ω 1.4 ω 2 ω 3.2 -.2 -.4 -.6 -.8 5 1 15 2 25 3 Figure 13: Three Area frequency deviation for Load Change of 1 MW in Area 2 with controller Fig (12) and Fig (13) shows the comparison of frequency deviation for load change of area 2 with and without integral controller. When area 2 load is changed without using PID controller, the frequency deviations (ff 1 = 49.25 HHHH, ff 2 = 47.1HHHH, ff 3 = 47.1HHHH) occur in all three areas. After using PID controller, frequency deviation occurs only in load changing area 2. There is no frequency deviation (ff 3 = 5HHHH) for area 3. Area 1 frequency deviation (ff 1 = 49.6 5HHHH) nearly turns to stable. PID controller gives smooth performance and reduces steady state error to zero and finally turns to stable the neighboring areas. 312

(D) Simulation Results of Power Deviation for load change of area 2 with and without controller.3.2.1 P tie12 P tie13 P tie23 -.1 -.2 -.3 -.4 -.5 5 1 15 2 25 3 Figure 14: Three Area tie-line power deviation for Load Change of 1 MW in Area 2 without controller.3 P tie12.2 P tie13 P tie23.1 -.1 -.2 -.3 5 1 15 2 25 3 Figure 15: Three Area tie-line power deviation for Load Change of 1 MW in Area 2 with controller Fig (14) and Fig (15) shows the comparison of tie-line power deviation for load change of area 2 with and without PID controller. When area 2 load is changed without using PID controller, the tie-line power deviation ( PP tttttt 12 =.4pppp, PP tttttt23 =.2pppp, PP tttttt 13 =.2PPPP ) and too much steady state error occur in all three areas. It takes long time to be stable operation. After using PID controller, tie-line power deviation occurs only in load changing area 2. There are small power deviations among three area power systems ( PP tttttt 12 =.24 pppp, PP tttttt 23 =.24pppp, PP tttttt 13 =.9PPPP ). Short time run to be stable operation. Tie-line power deviation turns to nearly zero steady state error. PID controller gives smooth performance and reduces tie-line 313

deviation error to zero. 7. Conclusions In this study, the PID controller has been investigated for load frequency control of three area power system. The comparison of three area power system with and without PID controller is developed in MATLAB as shown above figures. The simulation result is shown that the control system gives smooth performance and is convenient in load frequency control. PID controller has been successfully applied to recover the system frequency to its nominal value and to control scheduled reference power of a generating unit in three area system. In this paper, the frequency variations and tie-line power deviation for three areas are described in the comparison of with and without controller. The performances of tie line flow in each area during load change are also presented as simulation result. PID control system is leading to a stable power system with zero steady state error. Modelling and simulation analysis of three area power systems are clearly described in this study. 8. Recommendation In reliable power system, the automatic load frequency is essential. Many result papers are presented in this field for various design configuration, control methods and simulation results. Therefore, to develop the automatic load frequency control system, the conventional controller is essential. The PID controller has some weak points. These weak effects are such as taking long-time to reset the frequency and power deviation to its nominal value and getting too much variation error. To compensate these, other modern control techniques such as fuzzy logic controller, neural networks controller, genetic algorithm method and bee algorithm method are recommended for more reliable and more accurate results. The next better recommendation is to use optimal tuning method for parameter value selection and to study the second order and third order differential equations for the analysis of dynamic response of the interconnected power system. Acknowledgment First of all, special thanks are due to Dr. Myint Thein, Rector of Mandalay Technological University, for his motivation, supports, guidance and for giving the permission to summit this paper. The author would also like to express special thanks to Dr. Yan Aung Oo, Professor, Head of Department of Electrical Power Engineering, and Mandalay Technological University for his accomplished guidance, his willingness to share ideas in preparing this paper. Then, the author would deeply like to express gratitude to her supervisor, Dr. Zaw Min Htike, Lecturer, Department of Electrical Power Engineering, and Mandalay Technological University. Special thanks are due to for his valuable suggestions and supervision throughout the thesis, accomplished help and support, sharing ideas and experience during the research of thesis. References [1] Automatic load frequency control of multi area power system A thesis submitted in partial fulfillment of the requirements for the degree of master of technology in power electronics and drives by SUSHMITA EKKA. 314

[2] Power System Dynamics - Stability and Control - J. Macho ski- etal. (Wiley_ 28) WW [3] PID controller for load frequency control of three area power system / Wikipedia, the free encyclopedia [4] Hassan Bevrani Takashi University of Kurdistan,Hiyama- Kumamoto University, Intelligent Automatic Generation Control International Standard Book Number-13: 978-1-4398-4954-5 (E book- PDF) [5] Hassan Bevrani Takashi - University of Kurdistan Robust Power System Frequency Control, Power Electronics and Power Systems [6] Tan W (21) Unified Tuning of PID Load Frequency Controller for Power Systems via IMC.IEEE Transactions Power Systems 25(1), 341-35. [7] Automatic Generation Control by Dr Ms.R Murty. [8] Application of neural networks to load-frequency control in power system Francoise Beaufays, Youssef Abdel-Magid, and Benard [9] PID controller from Wikipedia, the free encyclopedia.. [1] Power system analysis hadi-saadat, McGraw - Hill Series in Electrical and Computer Engineering [11] Automatic load frequency control of multi areas power system with intelligent generation system. 315