Solving fuzzy combined-emission dispatch by using differential evolution immunized Ant Colony Optimization technique

N. A. Rahmat, I. Musirin, A. F. Abidin, S. A. Jumaat, W. N. Wan Abdul Munim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Emission dispatch deals with the process of determining the emission level produced by thermal power plants. Since the concerns toward environmental health paramount, emission dispatch has become a crucial consideration during energy dispatch planning. Different fuel types produce different types of pollutant and thus the total emission level may vary. However, the fluctuation of future load demand and fuel cost causes emission dispatch problems in dynamic system. Therefore, this paper proposes the implementation of fuzzy logic in solving the combined emission dispatch and termed as Fuzzy Combined-Emission Dispatch (FCED). A newly developed optimization technique termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique is employed to optimize FCED. DEIANT is compared with Evolutionary Programming (EP) and Ant Colony Optimization (ACO) techniques in order to evaluate its performance. Results indicate that the proposed FCED technique outperformed EP and PSO in terms of achieving lower minimal emission level and reduce operating cost.

Original languageEnglish
Title of host publication2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013
PublisherIEEE Computer Society
ISBN (Print)9781479923038
DOIs
Publication statusPublished - 01 Jan 2013
Event2013 2nd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013 - Amman, Jordan
Duration: 03 Dec 201305 Dec 2013

Publication series

Name2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013

Other

Other2013 2nd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013
CountryJordan
CityAmman
Period03/12/1305/12/13

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Rahmat, N. A., Musirin, I., Abidin, A. F., Jumaat, S. A., & Wan Abdul Munim, W. N. (2013). Solving fuzzy combined-emission dispatch by using differential evolution immunized Ant Colony Optimization technique. In 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013 [6716456] (2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013). IEEE Computer Society. https://doi.org/10.1109/AEECT.2013.6716456