Multi Objective Economic and Emission Dispatch of Multiple Generator IEEE Test System Using Improved Grey Wolf Optimization

Abstract

The optimal operation of power generation systems is a critical endeavor in ensuring efficient resource utilization and mitigating environmental impacts. The Multi-Objective Economic and Emission Dispatch (MOEED) problem embodies the challenging task of simultaneously minimizing economic costs and environmental emissions while adhering to various technical constraints. In this study, we address the MOEED problem within the context of a multiple-generator IEEE test system, employing the Improved Grey Wolf Optimization (IGWO) algorithm. The paper summarizes a study on optimizing economic and emission dispatch in a multi-generator IEEE test system through an improved Grey Wolf Optimization (GWO) approach. The research focuses on the simultaneous achievement of economic efficiency and reduced emissions in power generation. By enhancing the conventional GWO algorithm, the study seeks to address the challenges of multi-objective optimization in a complex power system. The proposed method aims to strike a balance between economic cost and environmental impact by optimizing the generator outputs. Through comprehensive simulations and comparisons, the effectiveness of the improved GWO technique in achieving optimal trade-offs between economic and emission objectives is demonstrated, highlighting its potential applicability in real-world power systems.