Environmental Economic Dispatch with the use of Particle Swarm Optimization Technique based on Space Reduction Strategy

Τ M Kumar,Ν A Singh

doi:10.48084/etasr.2969

Abstract

This paper introduces a professional edition of Particle Swarm Optimization (PSO) technique, intending to address the Environmental Economic Dispatch problem of thermal electric power units. Space Reduction (SR) strategy based PSO is proposed, in order to obtain the Pareto optimal solution in the prescribed search space, by enhancing the speed of the optimization process. PSO is a natural algorithm, which can be used in a wide area of engineering issues. Many papers have illustrated different techniques that solve various types of dispatch problems, with numerous pollutants as constraints. Search SR strategy is applied to PSO algorithm in order to increase the particles’ moving behavior, by using effectively the search space, and thus increasing the convergence rate, so as to attain the Pareto optimal solution. The validation of SR-PSO algorithm is demonstrated, through its application on an Indian system with 6 generators and three IEEE systems with 30, 57 and 118 buses respectively, for variable load demands. The minimum fuel cost and least emission solutions are achieved by examining various load conditions.

Highlights

The process of satisfying energy demands raises concerns regarding to energy durability and environmental protection, in conjunction with the market and regulatory demands
The primary purpose of this study is to present the utilization of Space Reduction Particle Swarm Optimization (SR-PSO) optimization technique in power systems
SR-PSO analysis was conducted in order to resolve the electricity Dispatch (EED) problem for the above mentioned power systems

Summary

Introduction

The process of satisfying energy demands raises concerns regarding to energy durability and environmental protection, in conjunction with the market and regulatory demands. Environmental/Economic electricity Dispatch (EED) is a technique to plan the energy generator unit’s output with load demand. EED is essential to create sufficient capacity in order to meet consistently variable client load demands at minimal cost under various difficulties. In [1] the Modulated Particle Swarm Optimization (MPSO) technique was presented to solve the EED problem of thermal units, modulating particles’ velocity for better exploration and exploitation of search space. This modulation of velocity is controlled by introducing a sinusoidal constraint function in the control equation.

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