Automatic generation control with nonlinear design of interconnected power system using optimization techniques

Abstract

An electric power system comprises of generation, transmission and distribution of electric energy. To meet today"s load demand different generations are interconnected via tie lines. This paper deals with AGC problem of a two area thermal system using Proportional-integral-derivative controller (PID). The controller parameters are tuned by using particle swarm optimization (PSO) and Many optimizing Liaisons (MOL) algorithms. Dynamic response of the PID controlled AGC tuned by both the algorithms are compared by applying 1% step load perturbation (SLP) in both areas at different conditions. The cost function is derived by taking the area control errors (ACE) of both the areas. The system is checked for robustness by varying the parameters of the governor, turbine and reheat from -50% to +50% in steps of 25%. Based on analysis, facts & figures the system is found to be robust and performs better when tuned by the MOL algorithm.