Intelligent Controlling of Multi Area System Including Wind Power in Random Load Pattern using Firefly Optimization Technique

Increased carbon footprint on earth has stressed on the utilization of green and clean sources of energy such as wind energy to satisfy the growing needs of enormous power. In this paper a hybrid power system which includes wind energy is proposed with intelligent controlling. In the current era of innovation, a lot of devices have been developed for better quality of life and hence the loading pattern of consumer cannot be predicted completely so power system need to be prepared for all random loading and complex environment and hence, this paper introduces an intelligent controller integrated with the firefly optimization technique, aimed at improving the resilience of a system when confronted with unpredictable random loads in a hybrid power system. The study presents a specially crafted fitness function, denoted as ITMWAE, designed to assess the performance of the hybrid power system incorporating a wind power plant. The experimentation and analysis presented in this work are conducted using the MATLAB/SIMULINK tool.