A novel improved marine predators algorithm for combined heat and power economic dispatch problem

This paper proposes an improved marine predators’ optimization algorithm (IMPOA) for solving the combined heat and power (CHP) economic dispatch problem. This problem provides optimal scheduling of heat and power generation supplies and pursues to minimize the overall fuel cost (OFC) supply of cogen...

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Autores principales:	Abdullah M. Shaheen, Abdallah M. Elsayed, Ahmed R. Ginidi, Ragab A. EL-Sehiemy, Mosleh M. Alharthi, Sherif S.M. Ghoneim
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Marine predators’ algorithm Combined heat and power units Feasibility constraints Non-convex optimization Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/29026be8ec6642cd82cddbfa5cab7655
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spelling	oai:doaj.org-article:29026be8ec6642cd82cddbfa5cab76552021-11-30T04:13:46ZA novel improved marine predators algorithm for combined heat and power economic dispatch problem1110-016810.1016/j.aej.2021.07.001https://doaj.org/article/29026be8ec6642cd82cddbfa5cab76552022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1110016821004695https://doaj.org/toc/1110-0168This paper proposes an improved marine predators’ optimization algorithm (IMPOA) for solving the combined heat and power (CHP) economic dispatch problem. This problem provides optimal scheduling of heat and power generation supplies and pursues to minimize the overall fuel cost (OFC) supply of cogeneration units considering their operational constraints. Four test systems are considered to check the performance of both the MPOA and the proposed IMPOA. The first test system is small sized which involve 5-unit, whereas the second system is medium sized which contains 48-unit system. The third and fourth test systems are large sized systems. The third test system includes 84-unit, which are divided into 40 power-only units, 20 heat only units, and 24 CHP units. The fourth test system includes 96-unit, which are divided into 52 power-only units, 20 heat-only units, and 24 CHP units. The obtained results clearly show the capability, efficiency, and feasibility of the IMPOA with respect to other relevant optimization techniques for optimal solutions of small, medium and large-scale systems. Additionally, the convergence characteristics of the proposed IMPOA are stable and the arrival of the optimal solution is faster than the conventional MPOA.Abdullah M. ShaheenAbdallah M. ElsayedAhmed R. GinidiRagab A. EL-SehiemyMosleh M. AlharthiSherif S.M. GhoneimElsevierarticleMarine predators’ algorithmCombined heat and power unitsFeasibility constraintsNon-convex optimizationEngineering (General). Civil engineering (General)TA1-2040ENAlexandria Engineering Journal, Vol 61, Iss 3, Pp 1834-1851 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Marine predators’ algorithm Combined heat and power units Feasibility constraints Non-convex optimization Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Marine predators’ algorithm Combined heat and power units Feasibility constraints Non-convex optimization Engineering (General). Civil engineering (General) TA1-2040 Abdullah M. Shaheen Abdallah M. Elsayed Ahmed R. Ginidi Ragab A. EL-Sehiemy Mosleh M. Alharthi Sherif S.M. Ghoneim A novel improved marine predators algorithm for combined heat and power economic dispatch problem
description	This paper proposes an improved marine predators’ optimization algorithm (IMPOA) for solving the combined heat and power (CHP) economic dispatch problem. This problem provides optimal scheduling of heat and power generation supplies and pursues to minimize the overall fuel cost (OFC) supply of cogeneration units considering their operational constraints. Four test systems are considered to check the performance of both the MPOA and the proposed IMPOA. The first test system is small sized which involve 5-unit, whereas the second system is medium sized which contains 48-unit system. The third and fourth test systems are large sized systems. The third test system includes 84-unit, which are divided into 40 power-only units, 20 heat only units, and 24 CHP units. The fourth test system includes 96-unit, which are divided into 52 power-only units, 20 heat-only units, and 24 CHP units. The obtained results clearly show the capability, efficiency, and feasibility of the IMPOA with respect to other relevant optimization techniques for optimal solutions of small, medium and large-scale systems. Additionally, the convergence characteristics of the proposed IMPOA are stable and the arrival of the optimal solution is faster than the conventional MPOA.
format	article
author	Abdullah M. Shaheen Abdallah M. Elsayed Ahmed R. Ginidi Ragab A. EL-Sehiemy Mosleh M. Alharthi Sherif S.M. Ghoneim
author_facet	Abdullah M. Shaheen Abdallah M. Elsayed Ahmed R. Ginidi Ragab A. EL-Sehiemy Mosleh M. Alharthi Sherif S.M. Ghoneim
author_sort	Abdullah M. Shaheen
title	A novel improved marine predators algorithm for combined heat and power economic dispatch problem
title_short	A novel improved marine predators algorithm for combined heat and power economic dispatch problem
title_full	A novel improved marine predators algorithm for combined heat and power economic dispatch problem
title_fullStr	A novel improved marine predators algorithm for combined heat and power economic dispatch problem
title_full_unstemmed	A novel improved marine predators algorithm for combined heat and power economic dispatch problem
title_sort	novel improved marine predators algorithm for combined heat and power economic dispatch problem
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/29026be8ec6642cd82cddbfa5cab7655
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A novel improved marine predators algorithm for combined heat and power economic dispatch problem

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