A New Evolutionary Method for Solving Combined Economic and Emission Dispatch

A. N. Afandi, Hajime Miyauchi

Computer Science and Electrical Engineering, GSST, Kumamoto University, Kumamoto, Japan.

DOI: 10.4236/epe.2013.54B149                

Abstract

This paper presents a new evolutionary method called in Harvest Season Artificial Bee Colony (HSABC) algorithm for solving constrained problems of Combined Economic and Emission Dispatch (CEED). The IEEE-30 bus system is adopted as a sample system for determining the best solutions of the CEED problems considering operational constraints. Running outs of designed programs for the HSABC show that applications of various compromised factors have different implications on the CEED’s results, that minimum cost computations are started at different values, and that increasing load demands have affected costs, pollutant emissions and generated powers.

Keywords

Bees; Cost; Economic; Emission; Harvest; Minimum

Conflicts of Interest

The authors declare no conflicts of interest.

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