AN OPTIMISTIC SOLUTION TECHNIQUE FOR ECONOMIC LOAD DISPATCH PROBLEM USING IMMUNE INSPIRED ALGORITHM
Scarcity of Energy resources, increasing power generation cost and ever-growing demand of electric energy necessitates optimal economic dispatch in today‘s power systems.In this paper presents a computational approach to minimize the total fuel cost in thermal power station using Artificial Immune System (AIS) algorithm. The AIS algorithm is a machine learning approach and a powerful stochastic optimization technique with special features of random search, hill climbing, statistical sampling and competition. The proposed test system consists of six generator units. The analytical computation and simulation of above test system has been performed using the MATLAB environment. The performance analysis of proposed approach is compared with conventional and other optimization algorithms.