A Robust GA-Based Fuzzy LFC in a Deregulated Power Systems

Abstract: In this paper, a robust Genetic Algorithms (GAs) based fuzzy PID controller is proposed for the solution Load Frequency Control (LFC) problem in the deregulated power systems. In this method, the fuzzy PID controller is constructed as a set of control rules and gains of PID controller are tuned online from the knowledge base and the fuzzy inference. To reduce the fuzzy system effort, optimal fuzzy rule set is obtained automatically by GAs which is powerful optimum search technique. The salient advantage of this strategy is its high insensitivity to large load changes and disturbances in the presence of plant parameter variations and system nonlinearities under load following contract variations. This newly developed design strategy leads to a flexible controller with simple structure that is easy to implement. The proposed method is tested on a three-area power system to illustrate its robust performance under different operating conditions. The results of the proposed GA fuzzy PID type controller are compared with the traditional fuzzy PID and classical PID controller through some performance indices