Optimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power Systems

Abstract

Load Frequency Control (LFC) is one the most important issues in electrical power system design/operation and is becoming much more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple Proportional-Integral (PI) or Integral (I) controllers. However, since the PI or I control parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining good dynamic performance for various load changes scenarios in multi-area power system. For this reason, in this study the PI and I control parameters are tuned based on Hybrid Particle Swarm Optimization (HPSO) algorithm method for LFC control in two-area power system. Because HPSO is an optimization method, therefore, in the uncertainty area of controller parameters, finds the best parameters for controller and obtained controller is an optimal controller. A two-area power system example is given to illustrate proposed methods. To show effectiveness of proposed method and compare the performance of optimized PI and I type controllers, several time-domain simulation for various load changes scenarios are presented. Simulation results emphasis on the better performance of optimized PI controller in compared to optimized I controller in LFC.

A novel quasi-oppositional harmony search algorithm for automatic generation control of power system

“…Particle swarm optimization (PSO) algorithm has been used by Ghoshal [13] to optimize fuzzy-logic based proportional-integral-derivative (PID) controller gains in view of AGC study of power system. Also, variants of PSO have been proposed to optimize the controller gain(s) for AGC problem of multi-area power system [14][15][16][17]. The utilization of artificial bee colony algorithm in AGC study of an interconnected power system may be found in [18].…”

“…The OLTF for reheat turbine unit may be expressed by (15). The transfer function blocks for electric hydro governor (having transfer functionḠ g (s)) and hydro turbine (having transfer function (Ḡ t (s))) system may be stated by (16) and (17), respectively:…”

A new metaheuristic algorithm based on shark smell optimization

“…To evaluate the performance of a LFC mechanism, two objective functions, including integral of time multiplied absolute value of the error (ITAE) and figure of demerit (FD), are usually considered in the literature, which are as follows [11,12,[55][56][57][58]:…”

“…In (20), w is the weight parameter that weighs OS and US (in terms of signal magnitude) versus ST (in terms of time). The well-known two-area power system, usually used as test case in LFC research works [11,12,[55][56][57][58], is considered as test system here. Also, large variations in the load of the areas are applied as disturbance to the system.…”

Fuzzy-PID controller optimized TLBO algorithm on automatic generation control of a two-area interconnected power system

“…Authors in [7] say that GA optimized based upon fuzzy gain scheduling for conventional PI controller. Two area thermal power system for composition of a hybrid PSO algorithm optimizing for the gain scheduling of PI controller shown by Taher in 2008 [8]. Design of AGC regulator that deals with numerous system aspects depicts in the literature by Pothiya et al in ref.…”