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

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Load frequency control in Single area with traditional Ziegler-Nichols PID Tuning Gajendra Singh Thakur 1, Ashish Patra 2 Deptt. Of Electrical, MITS, RGPV 1, 2,,M.Tech Student 1,Associat proff 2 Email: gajendrathakur1784@gmail.com 1, prof_apatra@rediffmail.com 2 Abstract- Load Frequency Control in power systems is very important in order to supply reliable electric power with good quality. In many industries, the speed of the machines depends on the frequency. Any deviation in the frequency may lead to mal-operation of the system. The load-frequency control (LFC) is used to restore the balance between load and generation in each control area by means of speed control. So load frequency control is the key problem in the power system. Works are being done to optimize the s to get faster and better results, the main goal of LFC is to minimize the transient deviations and steady state error to zero in advance. This paper investigated LFC using proportional integral (PI) Controller and ZN-PID Tuning for one area system. The results of the two s are compared using MATLAB/Simulink software package. Comparison results of conventional PI and ZN-PID Tuning System are presented. Index Terms- Load Frequency Control, PI, ZN-P, ZN-PI, ZN-PID 1. INTRODUCTION Nowadays, power systems with several industrial and commercial loads and generators need to operate at a constant frequency. Load Frequency Control is a very important issue in power system operation and control for supplying sufficient and reliable electric power with good quality. With an increasing demand, the electric power system becomes more and more complicated. For a successful operation of power system under abnormal conditions, mismatches have to be corrected via supplementary control. For satisfactory operation of a power system the frequency should remain nearly constant. The various areas or power pools are interconnected through tie lines. These tie lines are utilized for contractual energy exchange between power pools and also interarea support in case of abnormal conditions. The power system is subjected to local variations of random magnitude and duration. As the load varies at any area in the system considered, the frequency related with this area affected and then the other areas are also affected through tie lines. Frequency transients must be eliminated as soon as possible. Mostly the boiler system effects and its control, governor dead band effects and generation rate constraint are neglected in the Load frequency control studies for simplicity, But for the realistic analysis of system performance, these should be incorporated as they have considerable effects on the amplitude and settling time of oscillations [1]. A large frequency deviation can damage equipment, corrupt load performance, reason of the overloading of the transmission lines and can interfere with system protection schemes, ultimately leading to an unstable condition for the electric power system. Maintaining frequency and power interchanges with neighboring Control areas at the scheduled values are the two main primary objectives of a power system LFC.In a sudden change in consumers' demands for power, voltage and frequency control, a complicating factor. Power systems have the desired level of tension, is desirable to have a fixed rate. At this point, the power system load frequency control, it is important for stability. Load frequency control with voltage and frequency of the system is set. Therefore, the system will be increased power quality [2].the control of active power system is related to the control of frequency, while the control of reactive power is related to control of voltage, the stability of frequency and voltage are important in identifying the quality of power supply, and the control of active power and reactive power has a basic and important role to satisfy application of power systems. The frequency of system is dependent on active power, and thence the frequency is a general factor in the network, any change in active power in any part of the network can reflect the whole of network, as a change in frequency which can be harmful [3]. Many control strategies for Load Frequency Control in electric power systems have been proposed by researchers over the past decades. This extensive research is due to fact that LFC constitutes an important function of power system operation where the main objective is to regulate the output power of each generator at prescribed levels while keeping the frequency fluctuations within prespecifies limits. A unified tuning of PID load frequency for power systems via internal mode control has been proposed 49

[4]. During the last decades the researchers have more attention to LFC although the main objective of the control strategy in an interconnected power system is, to generate both voltage and frequency within permissible limits. Recently, lot of research works were documented with an improved transient response by designing proper coupling effects between LFC and AVR and hence proves the necessity of AVR along with LFC. The flows of active power and reactive power in a transmission network are fairly independent of each other and hence this paper deals with individual control mechanism for LFC in order to improve the transient stability of power system [5].This paper PID has been designed for higher order system using Ziegler-Nichols frequency response method and its Performance has been observed. The most popular tuning technique is the Ziegler-Nichols method. However, besides being suitable only for system with monotonic step response, the compensated system whose s are tuned in accordance with the Ziegler-Nichols method have generally a step response with a highpercent overshoot. Ziegler and Nichols proposed the manual tuning of PID. The Ziegler Nichols tuned parameters are fine tuned to get satisfactory performance. 2. LOAD FREQUENCY BASED MODEL DIAGRAM OF POWER SYSTEMS PLANT More than one control area power systems with a single control zone is actually a combination of power systems and the problems of each region, combining a control structure. Figure 1 is a single zone with a power system block diagrams. Here, the system, a regulator regulating the speed of synchronous generator, synchronous generator and the load is composed. PL load variation, the time constant of speed regulator Tg, Tt inlet valve time constant, inertia constant in seconds H, D damping factor, and R represents the coefficient of speed regulation. Continuous operation of the system in equilibrium conditions in Figure 1. Changes in the system parameters are zero. Exchange system by disturbing the balance of power in the load PL leads to changes in speed and power produced 3. LOAD FREQUENCY CONTROL Power systems are used to produce electrical power from natural or renewable energy. Load frequency control is really important in power systems to supply reliable and better electric power at consumer end. However, the consumers of the electric power vary the loads randomly and frequently. Change in load leads to adjustment of generation so that there is no power imbalance whereas controlling the power generation is a problem. To nullify the effects of the haphazard load changes and to keep the voltage as well as frequency within prespecified values a control system is essential. The frequency is closely related to the real power balance whereas voltage is related to reactive power. The real power and frequency control is referred to as load frequency control. If in a system there are changes in load then those changes will affect both frequency and bus voltages [9]. The satisfactory operation of power system the frequency should be maintained constant. The considerable drop in frequency in any electrical network could result in high magnetizing currents in induction motors and transformers regulate the frequency which is a common factor throughout the system. Moreover, the change in active power depends on frequency deviations and hence, the change in frequency in any point of the interconnected power system may affect the active power throughout the system. As a consequence the LFC is installed in power network to meet out the Maintain optimal power flow between control areas, maintain the frequency to its nominal value and maintain economical power generation in individual generating units. Single area power system m consists of a governor, a turbine and a generator with feedback of regulation constant. LFC as the name signifies adjusts the power flow between different areas while holding the frequency constant. LFC is actually a loop that regulates output in the range of megawatt and frequency of the generator, System also includes step load change input to the generator. Fig 1 Load Frequency Based Model Diagram of Power Plant [2] Fig 2 power system plant model So far, PID s have widely been used in process control. With simple structure, they yet can effectively control various large industrial processes [10]. There are many tuning approaches for these 50

International Journal of Research in Advent Technology, Vol.2, No..12, December2014 s, but each has own disadvantages or limitations. As a result, the design of PID s still remains a remarkable challenge for researchers. In simple words, the PID is used to improve the dynamic response as well as reduce or eliminate the steady-state error. The derivative term normally adds a finite zero to the open loop plant transfer function and can improve the transient response in most cases [6]. the LFC is installed in power network to meet out the following objectives [12],Maintain the frequency to its nominal value, Maintain optimal power flow between control areas, Maintain economical power generation in individual generating units. The integral term adds a pole at origin resulting in increasing the system type and therefore reducing the steady-state error. Furthermore, this is often regarded as an almost robust. As a result, they may also control uncertain processes. parameters for this is still a difficult task. ZN continuous cycling method is the most excellent conventional tuning method used to predict the gain parameters of PID s. Matlab simulink model show in the fig 4. The polynomial characteristic equation of LFC designed as shown in the equation (1) and PID Parameter data is following kp 3.925,ki 8.1472 and kd 15.762 use in this paper. (1) 4. TUNING OF PI CONTROLLER Now days the use of conventional integral s is very rare in Load Frequency Control of power system as they produce very slow dynamic response for the system. With the wide development of control system, many different s have been invented which are much more effective than integral s. in this paper tuning of PI value of K for system,matlab simulink model show in the fig 3 for system KI is 1.5 or gain is 0.425. Fig 3 Matlab Simulink Model of PI Controller 5. TUNING OF PID CONTROLLER WITH ZIEGLER-NICHOLS (Z-N) METHOD The most popular tuning methodology was proposed by Ziegler and Nichols in 1942. PID s on line auto tuning that is based on Ziegler Nichols tuning method.. It is a simple method of tuning PID s and can be refined to give better approximations of the. The constants Kp, Ki and Kd can be obtained for a system with feedback. The advantage of Z-N PID tuning is also carry out for higher order systems. The PID type remains the most popular in industry. However, finding approximate gain Fig 4 PID parameters using Ziegler Nichols Method 6. SIMULATION RESULTSS The simulation has been conducted in MATLAB (R2010a) for single area power system with PI and Z N PID tuning is design for Power plant model using MATLAB Simulink. The frequency deviations in POWER area studied under PI and ZN-P, ZN-PI AND ZN-PID actions. The single area power system parameters consisting of the speed governor, turbine and generator are given in Table 1. Here the governor free operation is assumed and load demand PLL = 0.02. Table 1: Parameters of power system area-1 S.No Description Parameter value name 1 Governor gain 1 2 Governor time constantt 0.08 3 Turbine gain 4 Turbine Time Constant 5 Load model 6 Load time constant 1 0.3 120 20 For conventional PI s Ki is taken as 1.5 and R = 3.935.The values of PID Parameters as obtained by ZN-PID optimization: Kp = R = 3.935; Ki = 8.1472; Kd = 1.5761; Simulation results for the single area power system are shown in Table 2. As can be observed, the settling time and overshoots with the proposed PI and ZN-P,ZN-PI AND ZN-PID TUNING are much shorter than that of 51

with the conventional PI,result are show in the fig 5,fig 6,fig 7 and fig 8. Therefore, the ZN-PID provides better performance than conventional PI for the single area power system Show in the Fig 9. Table 2 comparative analysis for different Fig 8 Frequency Deviation of Single area with ZN- PID Fig 9 Comparison of Frequency Deviation of Single areas with PI and ZN-PID Fig 5 Frequency Deviation of Single area with PI Fig 6 Frequency Deviation of Single area with ZN-P Fig 7 Frequency Deviation of Single area with ZN-PI 7. CONCLUSION In this paper, the tuning of PI and Ziegler- Nichols PID Tuning was proposed to solve the load frequency control problem of single area power system. Simulation results show that Ziegler- Nichols PID Tuning is frequency deviations of power system has a better performance than the PI because reduced the settling time and minimize overshoot,pi as a not adaptive or at least as a limited since limited of parameters and still the output has a little more amount of settle time and overshoot. Z-N Tuned PID with simple approach can provide better performance comparing with the conventional PI. So simulation results show the superior performance of the system using Z-N Tuned PID control. REFRENCES [1]B. Anand, Member, IEEE, A. Ebenezer Jeyakumar, Load Frequency Control of Hydro-Thermal System with Fuzzy Logic Controller Considering Boiler Dynamics conference 2012-13. [2] Hilmi Zenk, Hilmi Zenk, Adem Sefa Akpinar, Two Different Power Control System Load- Frequency Analysis Using Fuzzy Logic Controller IEEE 2011,Page no 465-469. [3] M. Mahdavian1, N. Wattanapongsakorn3, Load Frequency Control for a Two-Area HVAC/HVDC Power System Using Hybrid 52

Genetic Algorithm Controller, 978-1-4673-2025 2/12/$31.00 2012 IEEE. [4] M. A. Tammam1, M. A. S. Aboelela2, Fuzzy Like PID Controller Tuning By Multiobjective Genetic Algorithm For Load Frequency Control In Nonlinear Electric Power Systems, International Journal of Advances in Engineering & Technology, Nov. 2012, ISSN: 2231-1963. [5]Saumya Kr. Gautam, Nakul Goyal, Improved Particle Swarm Optimization Based Load Frequency Control in a Single Area Power System, 2010 Annual IEEE India Conference (INDICON), 978-1-4244-9074-5/10/$26.00 2010 IEEE. [6] Anbarasi S #1, Mur alidharan S *2, Transient Stability Improvement Of LFC And AVR Using Bacteria Foraging Optimization Algorithm, International Journal of Innovative Research in Science, Engineering and Technology, Volume 3, Special Issue 3, March 2014. [7] A.Soundarrajan1, S.Sumathi2 and G.Sivamurugan3, Hybrid Evolutionary Algorithms For Frequency And Voltage Control In Power Generating System, Intact Journal On Soft Computing, October 2010, Issue: 02. [8] Ranuva Nageswara.Rao and P.Rama Krishna Reddy, PSO based tuning of PID for a load frequency control in two area power system, IJERA, Vol. 1, Issue 3, pp.1499 1505. [9] T. Michigami, T. Ishii, Construction of fluctuation load model and dynamic simulation with LFC control of DC power system and frequency converter interconnection, in Proc. 2002, IEEE Power Engineering Society Transmission and Distribution Conf, vol. 1, pp.382-387. [10]K. Soundarrajan, Dr.S. Sumathi, Partical Swarm Optimization Based LFC and AVR of Autonomous Power Generating System, IAENG, International Journal of Computer Science, 2010, Vol.37. [11] Dulal Ch Das, A K Roy, N Sinha, Senior Member IEEE, PSO Optimized Frequency Controller for Wind-Solar thermal-diesel Hybrid Energy Generation System: A Study, International Journal of Wisdom Based Computing, Vol. 1 (3), December 2011. [12] Anbarasi S #1, Mur alidharan S *2, Transient Stability Improvement Of LFC And AVR Using Bacteria Foraging Optimization Algorithm, International Journal of Innovative Research in Science, Engineering and Technology Volume 3, Special Issue 3, March 2014. 53