Solution of economic load dispatch by evolutionary optimization algorithms — A comparative study

Abstract

With various instances of load management situations brewing up in power systems, an economic portfolio for the unit generation and consumption scenario can provide some handy results. Economic load dispatch comments for the economic operation of specific units with a load connected at one end, and with instances of load change. The optimization algorithms have fathomably reasoned their impact in calculating the optimum cost solutions for any unit data. Previously, Genetic Algorithm (GA) & Particle Swarm Optimization (PSO) have been used to calculate as low a cost possible. Comparing the evolutionary algorithms have come out as a fruitful option since it always provide better results with all kinds of improvisation introduced. Another optimization algorithm Cuckoo Search algorithm was introduced which converge the values in a better time domain. In this paper, a comparative analysis of Cuckoo Search, GA & PSO has been studied for a 3-unit and 6-unit system ensuring a much better result possible than what was achieved previously.