Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types

Abstract In this paper, the optimal allocation of constant and switchable capacitors is presented simultaneously in two operation modes, grid-connected and islanded, for a microgrid. Different load levels are considered by employing non-dispatchable distributed generations. The objective function in...

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Autores principales:	Amirreza Naderipour, Zulkurnain Abdul-Malek, Mohammad Hajivand, Zahra Mirzaei Seifabad, Mohammad Ali Farsi, Saber Arabi Nowdeh, Iraj Faraji Davoudkhani
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ad61b67508f8486eb74fa3cb641b32f4
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spelling	oai:doaj.org-article:ad61b67508f8486eb74fa3cb641b32f42021-12-02T10:44:14ZSpotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types10.1038/s41598-021-82440-92045-2322https://doaj.org/article/ad61b67508f8486eb74fa3cb641b32f42021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82440-9https://doaj.org/toc/2045-2322Abstract In this paper, the optimal allocation of constant and switchable capacitors is presented simultaneously in two operation modes, grid-connected and islanded, for a microgrid. Different load levels are considered by employing non-dispatchable distributed generations. The objective function includes minimising the energy losses cost, the cost of peak power losses, and the cost of the capacitor. The optimization problem is solved using the spotted hyena optimizer (SHO) algorithm to determine the optimal size and location of capacitors, considering different loading levels and the two operation modes. In this study, a three-level load and various types of loads, including constant power, constant current, and constant impedance are considered. The proposed method is implemented on a 24-bus radial distribution network. To evaluate the performance of the SHO, the results are compared with GWO and the genetic algorithm (GA). The simulation results demonstrate the superior performance of the SHO in reducing the cost of losses and improving the voltage profile during injection and non-injection of reactive power by distributed generations in two operation modes. The total cost and net saving values for DGs only with the capability of active power injection is achieved 105,780 $ and 100,560.54 $, respectively and for DGs with the capability of active and reactive power injection is obtained 89,568 $ and 76,850.46 $, respectively using the SHO. The proposed method has achieved more annual net savings due to the lower cost of losses than other optimization methods.Amirreza NaderipourZulkurnain Abdul-MalekMohammad HajivandZahra Mirzaei SeifabadMohammad Ali FarsiSaber Arabi NowdehIraj Faraji DavoudkhaniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Amirreza Naderipour Zulkurnain Abdul-Malek Mohammad Hajivand Zahra Mirzaei Seifabad Mohammad Ali Farsi Saber Arabi Nowdeh Iraj Faraji Davoudkhani Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types
description	Abstract In this paper, the optimal allocation of constant and switchable capacitors is presented simultaneously in two operation modes, grid-connected and islanded, for a microgrid. Different load levels are considered by employing non-dispatchable distributed generations. The objective function includes minimising the energy losses cost, the cost of peak power losses, and the cost of the capacitor. The optimization problem is solved using the spotted hyena optimizer (SHO) algorithm to determine the optimal size and location of capacitors, considering different loading levels and the two operation modes. In this study, a three-level load and various types of loads, including constant power, constant current, and constant impedance are considered. The proposed method is implemented on a 24-bus radial distribution network. To evaluate the performance of the SHO, the results are compared with GWO and the genetic algorithm (GA). The simulation results demonstrate the superior performance of the SHO in reducing the cost of losses and improving the voltage profile during injection and non-injection of reactive power by distributed generations in two operation modes. The total cost and net saving values for DGs only with the capability of active power injection is achieved 105,780 $ and 100,560.54 $, respectively and for DGs with the capability of active and reactive power injection is obtained 89,568 $ and 76,850.46 $, respectively using the SHO. The proposed method has achieved more annual net savings due to the lower cost of losses than other optimization methods.
format	article
author	Amirreza Naderipour Zulkurnain Abdul-Malek Mohammad Hajivand Zahra Mirzaei Seifabad Mohammad Ali Farsi Saber Arabi Nowdeh Iraj Faraji Davoudkhani
author_facet	Amirreza Naderipour Zulkurnain Abdul-Malek Mohammad Hajivand Zahra Mirzaei Seifabad Mohammad Ali Farsi Saber Arabi Nowdeh Iraj Faraji Davoudkhani
author_sort	Amirreza Naderipour
title	Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types
title_short	Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types
title_full	Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types
title_fullStr	Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types
title_full_unstemmed	Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types
title_sort	spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ad61b67508f8486eb74fa3cb641b32f4
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Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types

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