Comparative Optimization Analysis of Ramp Rate Constriction Factor Based PSO and Electro Magnetism Based PSO for Economic Load Dispatch in Electric Power System

Abstract

In this modern era, Economic Load Dispatch (ELD) is one of the essential issues of apprehension in power system process and scheduling. The cost function for each unit in ELD problems is resolved by using mathematical or analytical methods in conservative computation. So, the certain ELD problem is signified as a non linear optimization problem having both equality and inequality constraint that cannot be directly solved by conservative analytical techniques. Subsequently, in order to solve this ELD problems evolution of soft computing methods and many other prominent approaches have been successfully implemented such as numerical method, genetic algorithm, evolutionary programming, neural network tactics, particle swarm optimization and some other hybrid methods. Here Ramp Rate constriction facor based PSO algorithm and Electro magnetism based PSO algorithm are proposed and applied for solving ELD problem in this paper. These two PSO techniques are employed in the form of Transmission line losses, valve point loading effect, ramp rate limits and prohibited zones constraints were used to make the results of ELD problem as reasonably approximate as possible in the comparative analysis form. The comparison results which are obtained from RRCPSO and EMPSO are compared with to other heuristic methods like Genetic algorithm (GA) & Taboo search (GATS) method, Artificial intelligence (AI) method, Bacterial Foraging Optimization (BFO) method, Dance Bee Colony Optimization (DBCO) method etc.