A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid

This paper proposes a hybrid algorithm for capacity configuration optimization of a solar PV-battery-based micro-grid. The hybrid algorithm (BAPSO), which is a combination of Particle Swarm Optimization (PSO) and Bat Algorithm (BA), is designed to optimize the solar generation location and capacity...

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Autores principales:	Ahmad Almadhor, Hafiz Tayyab Rauf, Muhammad Attique Khan, Seifedine Kadry, Yunyoung Nam
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Optimization Solar grid Microgrid Bat algorithm Particle Swarm Optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b788fcdbb9d2494aa64af07c1e44247f
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spelling	oai:doaj.org-article:b788fcdbb9d2494aa64af07c1e44247f2021-11-28T04:33:33ZA hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid2352-484710.1016/j.egyr.2021.01.034https://doaj.org/article/b788fcdbb9d2494aa64af07c1e44247f2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721000354https://doaj.org/toc/2352-4847This paper proposes a hybrid algorithm for capacity configuration optimization of a solar PV-battery-based micro-grid. The hybrid algorithm (BAPSO), which is a combination of Particle Swarm Optimization (PSO) and Bat Algorithm (BA), is designed to optimize the solar generation location and capacity for the efficient performance of a micro-grid. The algorithm considers dynamic transmission power loss optimization and integrates PSO and BA algorithms’ respective advantages to form a hybrid algorithm. The proposed algorithm combines PSO’s fast convergence ability with the less computation time ability of BA to better optimal solution by incorporating the BA’s frequency into the PSO velocity equation to control the pace. The design from the proposed algorithm is tested and validated on IEEE 30 bus test system. The transmission power loss before implementing the algorithm was 22 kW and reduced to 20 kW after the algorithm is used. A further reduction of 0.3 kW of losses is observed by placing the solar generation system at bus number 29.Ahmad AlmadhorHafiz Tayyab RaufMuhammad Attique KhanSeifedine KadryYunyoung NamElsevierarticleOptimizationSolar gridMicrogridBat algorithmParticle Swarm OptimizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 7906-7912 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Optimization Solar grid Microgrid Bat algorithm Particle Swarm Optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Optimization Solar grid Microgrid Bat algorithm Particle Swarm Optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ahmad Almadhor Hafiz Tayyab Rauf Muhammad Attique Khan Seifedine Kadry Yunyoung Nam A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
description	This paper proposes a hybrid algorithm for capacity configuration optimization of a solar PV-battery-based micro-grid. The hybrid algorithm (BAPSO), which is a combination of Particle Swarm Optimization (PSO) and Bat Algorithm (BA), is designed to optimize the solar generation location and capacity for the efficient performance of a micro-grid. The algorithm considers dynamic transmission power loss optimization and integrates PSO and BA algorithms’ respective advantages to form a hybrid algorithm. The proposed algorithm combines PSO’s fast convergence ability with the less computation time ability of BA to better optimal solution by incorporating the BA’s frequency into the PSO velocity equation to control the pace. The design from the proposed algorithm is tested and validated on IEEE 30 bus test system. The transmission power loss before implementing the algorithm was 22 kW and reduced to 20 kW after the algorithm is used. A further reduction of 0.3 kW of losses is observed by placing the solar generation system at bus number 29.
format	article
author	Ahmad Almadhor Hafiz Tayyab Rauf Muhammad Attique Khan Seifedine Kadry Yunyoung Nam
author_facet	Ahmad Almadhor Hafiz Tayyab Rauf Muhammad Attique Khan Seifedine Kadry Yunyoung Nam
author_sort	Ahmad Almadhor
title	A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
title_short	A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
title_full	A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
title_fullStr	A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
title_full_unstemmed	A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
title_sort	hybrid algorithm (bapso) for capacity configuration optimization in a distributed solar pv based microgrid
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b788fcdbb9d2494aa64af07c1e44247f
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A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid

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