Load Frequency Control of multi area system using Hybrid Particle Swarm Optimization

Abstract

The essential point of the Automatic Generation Control (AGC) is to keep up the system frequency and tie-line power interchange within the limits by controlling the electrical power generated, whenever the fluctuations in the power system occur due to change in load demand. This paper proposes few online smart control techniques to understand the Load Frequency Control (LFC) of multi area system. The main reason to develop smart control techniques to improve the transient response of the power system by reducing the overshoot, undershoot and settling time of the multi area system. The proposed method in this paper is combination of Bacterial Foraging Algorithm (BFA) and Particle Swarm Optimization (PSO) we call it as Hybrid-PSO (H-PSO). The modelling of multi area power system and tuning of the controller are carried out in MATLAB/Simulink environment. After the analysis of results it is observed that H-PSO is better as compare to BFA and PSO.

Automated Generation Control of Multiple-Area Electrical System with an Availability-Based Tariff Pricing Scheme Regulated by Whale Optimized Fuzzy PID Controller

“…Compared with the traditional Ziegler Nicolas tuning approach for the AGC of interconnected electrical systems [50], a dynamic output of the PSO-tuned AGC is achieved. Optimization based on a PSO Optimum AGC Controller for HVDC connection multiple-area interconnected electrical systems was proposed in [51]. Tuning of the AGC PID controller of a multiple-area interconnected electrical system using bacteria foraging hybrid and the PSO technique [52] has been demonstrated.…”