Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch

Eman Mostafa; Mohamed Abdel-Nasser; Karar Mahmoud

doi:10.1109/MEPCON.2017.8301304

Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch

Eman Mostafa, Mohamed Abdel-Nasser, Karar Mahmoud

Not published at Aalto University

Aswan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

9 Citations (Scopus)

Abstract

This paper solves the combined economic and emission dispatch (CEED) problem which aims to achieve minimum generating costs with emission reduction using different optimization methods. Six methods are discussed: moth-flame optimization (MFO), moth swarm algorithm (MSA), grey wolf optimization (GWO), antlion optimization (ALO), sine cosine algorithm (SCA), and multi-verse optimization (MVO). Different mutation operators are integrated to these methods to improve their performance. Two test systems are simulated, and the results are compared to see the effectiveness of applying mutation operators to the optimization methods.

Original language	English
Title of host publication	Proceedings of the 19th International Middle East Power Systems Conference, MEPCON 2017
Editors	Abdallah M. Elsayed
Publisher	IEEE
Pages	1004-1009
Number of pages	6
ISBN (Electronic)	9781538609903
DOIs	https://doi.org/10.1109/MEPCON.2017.8301304
Publication status	Published - 22 Feb 2018
MoE publication type	A4 Article in a conference publication
Event	International Middle East Power Systems Conference - Cairo, Egypt Duration: 19 Dec 2017 → 21 Dec 2017 Conference number: 19

Conference

Conference	International Middle East Power Systems Conference
Abbreviated title	MEPCON
Country/Territory	Egypt
City	Cairo
Period	19/12/2017 → 21/12/2017

Keywords

Combined Economic and Emission Dispatch (CEED)
Economic Dispatch (ED)
System Constraints

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10.1109/MEPCON.2017.8301304

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title = "Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch",

abstract = "This paper solves the combined economic and emission dispatch (CEED) problem which aims to achieve minimum generating costs with emission reduction using different optimization methods. Six methods are discussed: moth-flame optimization (MFO), moth swarm algorithm (MSA), grey wolf optimization (GWO), antlion optimization (ALO), sine cosine algorithm (SCA), and multi-verse optimization (MVO). Different mutation operators are integrated to these methods to improve their performance. Two test systems are simulated, and the results are compared to see the effectiveness of applying mutation operators to the optimization methods.",

keywords = "Combined Economic and Emission Dispatch (CEED), Economic Dispatch (ED), System Constraints",

author = "Eman Mostafa and Mohamed Abdel-Nasser and Karar Mahmoud",

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language = "English",

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booktitle = "Proceedings of the 19th International Middle East Power Systems Conference, MEPCON 2017",

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note = "International Middle East Power Systems Conference, MEPCON ; Conference date: 19-12-2017 Through 21-12-2017",

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Mostafa, E, Abdel-Nasser, M & Mahmoud, K 2018, Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch. in AM Elsayed (ed.), Proceedings of the 19th International Middle East Power Systems Conference, MEPCON 2017. IEEE, pp. 1004-1009, International Middle East Power Systems Conference, Cairo, Egypt, 19/12/2017. https://doi.org/10.1109/MEPCON.2017.8301304

Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch. / Mostafa, Eman; Abdel-Nasser, Mohamed; Mahmoud, Karar.
Proceedings of the 19th International Middle East Power Systems Conference, MEPCON 2017. ed. / Abdallah M. Elsayed. IEEE, 2018. p. 1004-1009.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Mostafa, Eman

AU - Abdel-Nasser, Mohamed

AU - Mahmoud, Karar

N1 - Conference code: 19

PY - 2018/2/22

Y1 - 2018/2/22

N2 - This paper solves the combined economic and emission dispatch (CEED) problem which aims to achieve minimum generating costs with emission reduction using different optimization methods. Six methods are discussed: moth-flame optimization (MFO), moth swarm algorithm (MSA), grey wolf optimization (GWO), antlion optimization (ALO), sine cosine algorithm (SCA), and multi-verse optimization (MVO). Different mutation operators are integrated to these methods to improve their performance. Two test systems are simulated, and the results are compared to see the effectiveness of applying mutation operators to the optimization methods.

AB - This paper solves the combined economic and emission dispatch (CEED) problem which aims to achieve minimum generating costs with emission reduction using different optimization methods. Six methods are discussed: moth-flame optimization (MFO), moth swarm algorithm (MSA), grey wolf optimization (GWO), antlion optimization (ALO), sine cosine algorithm (SCA), and multi-verse optimization (MVO). Different mutation operators are integrated to these methods to improve their performance. Two test systems are simulated, and the results are compared to see the effectiveness of applying mutation operators to the optimization methods.

KW - Combined Economic and Emission Dispatch (CEED)

KW - Economic Dispatch (ED)

KW - System Constraints

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M3 - Conference contribution

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EP - 1009

BT - Proceedings of the 19th International Middle East Power Systems Conference, MEPCON 2017

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PB - IEEE

T2 - International Middle East Power Systems Conference

Y2 - 19 December 2017 through 21 December 2017

ER -

Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch

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