OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm

This article introduces an application of the recently developed hunger games search (HGS) optimization algorithm. The HGS is combined with chaotic maps to propose a new Chaotic Hunger Games search (CHGS). It is applied to solve the optimal power flow (OPF) problem. The OPF is solved to minimize the...

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Autores principales:	Mohamed A. M. Shaheen, Hany M. Hasanien, Rania A. Turky, Martin Ćalasan, Ahmed F. Zobaa, Shady H. E. Abdel Aleem
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	modern power systems renewable energy sources optimization optimal penetration optimal power flow smart grids Technology T
Acceso en línea:	https://doaj.org/article/b7d19ec205604a4da890ca306cfb65b7
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spelling	oai:doaj.org-article:b7d19ec205604a4da890ca306cfb65b72021-11-11T15:47:01ZOPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm10.3390/en142169621996-1073https://doaj.org/article/b7d19ec205604a4da890ca306cfb65b72021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/6962https://doaj.org/toc/1996-1073This article introduces an application of the recently developed hunger games search (HGS) optimization algorithm. The HGS is combined with chaotic maps to propose a new Chaotic Hunger Games search (CHGS). It is applied to solve the optimal power flow (OPF) problem. The OPF is solved to minimize the generation costs while satisfying the systems’ constraints. Moreover, the article presents optimal siting for mixed renewable energy sources, photovoltaics, and wind farms. Furthermore, the effect of adding renewable energy sources on the overall generation costs value is investigated. The exploration field of the optimization problem is the active output power of each generator in each studied system. The CHGS also obtains the best candidate design variables, which corresponds to the minimum possible cost function value. The robustness of the introduced CHGS algorithm is verified by performing the simulation 20 independent times for two standard IEEE systems—IEEE 57-bus and 118-bus systems. The results obtained are presented and analyzed. The CHGS-based OPF was found to be competitive and superior to other optimization algorithms applied to solve the same optimization problem in the literature. The contribution of this article is to test the improvement done to the proposed method when applied to the OPF problem, as well as the study of the addition of renewable energy sources on the introduced objective function.Mohamed A. M. ShaheenHany M. HasanienRania A. TurkyMartin ĆalasanAhmed F. ZobaaShady H. E. Abdel AleemMDPI AGarticlemodern power systemsrenewable energy sourcesoptimizationoptimal penetrationoptimal power flowsmart gridsTechnologyTENEnergies, Vol 14, Iss 6962, p 6962 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	modern power systems renewable energy sources optimization optimal penetration optimal power flow smart grids Technology T
spellingShingle	modern power systems renewable energy sources optimization optimal penetration optimal power flow smart grids Technology T Mohamed A. M. Shaheen Hany M. Hasanien Rania A. Turky Martin Ćalasan Ahmed F. Zobaa Shady H. E. Abdel Aleem OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm
description	This article introduces an application of the recently developed hunger games search (HGS) optimization algorithm. The HGS is combined with chaotic maps to propose a new Chaotic Hunger Games search (CHGS). It is applied to solve the optimal power flow (OPF) problem. The OPF is solved to minimize the generation costs while satisfying the systems’ constraints. Moreover, the article presents optimal siting for mixed renewable energy sources, photovoltaics, and wind farms. Furthermore, the effect of adding renewable energy sources on the overall generation costs value is investigated. The exploration field of the optimization problem is the active output power of each generator in each studied system. The CHGS also obtains the best candidate design variables, which corresponds to the minimum possible cost function value. The robustness of the introduced CHGS algorithm is verified by performing the simulation 20 independent times for two standard IEEE systems—IEEE 57-bus and 118-bus systems. The results obtained are presented and analyzed. The CHGS-based OPF was found to be competitive and superior to other optimization algorithms applied to solve the same optimization problem in the literature. The contribution of this article is to test the improvement done to the proposed method when applied to the OPF problem, as well as the study of the addition of renewable energy sources on the introduced objective function.
format	article
author	Mohamed A. M. Shaheen Hany M. Hasanien Rania A. Turky Martin Ćalasan Ahmed F. Zobaa Shady H. E. Abdel Aleem
author_facet	Mohamed A. M. Shaheen Hany M. Hasanien Rania A. Turky Martin Ćalasan Ahmed F. Zobaa Shady H. E. Abdel Aleem
author_sort	Mohamed A. M. Shaheen
title	OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm
title_short	OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm
title_full	OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm
title_fullStr	OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm
title_full_unstemmed	OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm
title_sort	opf of modern power systems comprising renewable energy sources using improved chgs optimization algorithm
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b7d19ec205604a4da890ca306cfb65b7
work_keys_str_mv	AT mohamedamshaheen opfofmodernpowersystemscomprisingrenewableenergysourcesusingimprovedchgsoptimizationalgorithm AT hanymhasanien opfofmodernpowersystemscomprisingrenewableenergysourcesusingimprovedchgsoptimizationalgorithm AT raniaaturky opfofmodernpowersystemscomprisingrenewableenergysourcesusingimprovedchgsoptimizationalgorithm AT martincalasan opfofmodernpowersystemscomprisingrenewableenergysourcesusingimprovedchgsoptimizationalgorithm AT ahmedfzobaa opfofmodernpowersystemscomprisingrenewableenergysourcesusingimprovedchgsoptimizationalgorithm AT shadyheabdelaleem opfofmodernpowersystemscomprisingrenewableenergysourcesusingimprovedchgsoptimizationalgorithm
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OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm

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