AUTOMATIC GENERATION CONTROL IN MULTI AREA INTERCONNECTED POWER SYSTEM USING PID CONTROLLER BASED ON GA AND PSO

Electrical

Abstract

The goal of paper is to maintain the frequency and tie line power changes are maintained at their scheduled values, so in this paper presents two methods for determination of the optimal (Proportional-Integral-Derivate) PID parameters for Automatic Generation Control (AGC) of the three areas (non reheat thermal-reheat thermal-hydraulic) interconnected power system, the first is the Genetic Algorithm (GA) and the second is the Particle Swarm Optimization (PSO). The GA and PSO are applied to search for the optimal PID controller parameters to minimize various performance indexes as objective functions. These objective functions namely Integral Absolute Error (IAE) and Integral Square Error (ISE) are considered for optimization.
The performance of the intelligent controllers based on GA and PSO has been compared with tie line bias control strategy, the settling time, maximum deviation and peak time with the proposed controllers are better than the outputs of the tie line bias control strategy. From combination sets (GA-IAE, PSO-IAE, GA-ISE and PSO-ISE), GA-IAE and PSO-IAE have better settling time and lesser peak time when compared with GA-ISE and POS-ISE while, GA-ISE has lower maximum deviation when compared with other sets.