Combined economic emission load dispatch solution using cuckoo search algorithm

H.A. Henry; A. A. Elrifai; M. M. Salama; Mohamed F. Abdelkarim

Author(s)

H.A. Henry Department of Electrical Power Engineering, Faculty of Engineering, Shoubra, Benha University, Egypt

A. A. Elrifai Site Engineer, Arab Contractors for Facility Management,Cairo,Egypt

M. M. Salama Department of Electrical Power Engineering, Faculty of Engineering, Shoubra, Benha University, Egypt

Mohamed F. Abdelkarim Department of Electrical Power Engineering, Higher Institute of Engineering in Fifth Settlement, Egyptt

Abstract

The Cuckoo Search Algorithm (CSA) has been selected to find the best optimum solution for Combined Economic and Emission Load Dispatch Network (CEELD) problems. The objective, in the (CEELD) Analysis, that operating a generator schedule is necessary with both minimum fuel costs and emission levels, together, while satisfying the load demand and operational limitations. In this paper, the objective of research is oriented to minimize the fuel cost and emission for generation sets. The numerical results captured from the suggested method are compared with other techniques such as the Gravitational Search Method, strength Pareto evolutionary algorithm and nondominated sorting genetic algorithm-II to illustrate the efficiency of suggested method.

Publication Details

Page(s) 637-646

DOI DOI not available

Published Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 19, Issue: 10, Year: 2024

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Keywords

cuckoo search method, combined economic and emission load dispatch

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