Automatic Generation Control in Interconnected Power System with Integration of Wind Power Generation Using PID Controller Based on Particle Swarm Optimization

Today automatic generation control is becoming more important and significant in interconnected power system design and operation due to the complexity of power systems, changing structure, and emerging renewable energy sources. One of major functions of automatic generation control is the load frequency control. This paper presents an application of particle swarm optimization (PSO) for determining the optimal values for the proportional-integral-derivation (PID) controller for a load frequency control (LFC) of two area interconnected power system with integration of wind power generation, this method is compared to the traditional Ziegler-Nichols method. The transient responses are shown due to impact of integration of wind power in area-2. The main primary objective is to reduce the fluctuations of the system frequency and tie line power flow.

[1]  H. Rasmussen,et al.  Automatic Tuning of PID-regulators , 2022 .

[2]  B. Vahidi,et al.  Determining Parameters of Turbine's Model Using Heat Balance Data of Steam Power Unit for Educational Purposes , 2007, IEEE Transactions on Power Systems.

[3]  Sidhartha Panda,et al.  Automatic generation control of multi-area power system using multi-objective non-dominated sorting genetic algorithm-II , 2013 .

[4]  Babu Narayanan,et al.  POWER SYSTEM STABILITY AND CONTROL , 2015 .

[5]  V. Vakula,et al.  PSO BASED DESIGN OF ROBUST CONTROLLER FOR TWO AREA LOAD FREQUENCY CONTROL WITH NONLINEARITIES 1 ) . , 2010 .

[6]  Bambang Siswoyo.  Automatic Tuning of PID-regulators , 2012 .

[7]  Qinghai Bai,et al.  Analysis of Particle Swarm Optimization Algorithm , 2010, Comput. Inf. Sci..

[8]  B. P. Galdós.  Montes de Oca , 1907 .

[9]  T. Michigami,et al.  Construction of fluctuation load model and dynamic simulation with LFC control of DC power system and frequency converter interconnection , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[10]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[11]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[12]  Hassan Bevrani,et al.  Robust Power System Frequency Control , 2009 .

[13]  A. Yokoyama,et al.  Evaluation of Battery System for Frequency Control in Interconnected Power System with a Large Penetration of Wind Power Generation , 2006, 2006 International Conference on Power System Technology.

[14]  Nasser Sadati,et al.  Two-level optimal load–frequency control for multi-area power systems , 2013 .

[15]  Ranuva Nageswara Rao,et al.  PSO based tuning of PID controller for a Load frequency control in two area power system , 2011 .

[16]  S. M. Abd-Elazim,et al.  Optimal PID Tuning for Load Frequency Control Using Bacteria Foraging Optimization Algorithm , 2010 .

[17]  Haibo He,et al.  Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization , 2013, IEEE Transactions on Smart Grid.

[18]  Qing Yang,et al.  A novel PSO-PID controller application to bar rolling process , 2011, Proceedings of the 30th Chinese Control Conference.

[19]  B. J. Kirby,et al.  Frequency Control Concerns In The North American Electric Power System , 2003 .

[20]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[21]  Lalit Chandra Saikia,et al.  Automatic generation control of a combined cycle gas turbine plant with classical controllers using Firefly Algorithm , 2013 .