Solving multi-pollutant emission dispatch problem using computational intelligence technique

Nur Azzammudin Rahmat, Ismail Musirin, Ahmad Farid Abidin

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Economic dispatch is a crucial process conducted by the utilities to correctly determine the satisfying amount of power to be generated and distributed to the consumers. During the process, the utilities also consider pollutant emission as the consequences of fossil-fuel consumption. Fossil-fuel includes petroleum, coal, and natural gas; each has its unique chemical composition of pollutants i.e. sulphur oxides (SOX), nitrogen oxides (NOX) and carbon oxides (COX). This paper presents multi-pollutant emission dispatch problem using computational intelligence technique. In this study, a novel emission dispatch technique is formulated to determine the amount of the pollutant level. It utilizes a pre-developed optimization technique termed as differential evolution immunized ant colony optimization (DEIANT) for the emission dispatch problem. The optimization results indicated high level of COX level, regardless of any type of fossil fuel consumed. Copyright.

Original languageEnglish
Pages (from-to)249-257
Number of pages9
JournalJournal of Electrical Systems
Volume12
Issue number2
Publication statusPublished - 2016

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

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