A multi-agent system for distribution network restoration in future smart grids

A main feature of future smart grids is their self-healing capability, which allows fault location, isolation and service restoration to be done automatically. Restoration is a combinatorial non-linear optimization problem for which conventional mathematical programming techniques and heuristic meth...

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Autores principales:	Amer Al-Hinai, Hassan Haes Alhelou
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Distribution network restoration Multi-agent Self-healing Smart grid Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b0763a8ed6d841188e5e00816d12c32f
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id	oai:doaj.org-article:b0763a8ed6d841188e5e00816d12c32f
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spelling	oai:doaj.org-article:b0763a8ed6d841188e5e00816d12c32f2021-11-28T04:34:12ZA multi-agent system for distribution network restoration in future smart grids2352-484710.1016/j.egyr.2021.08.186https://doaj.org/article/b0763a8ed6d841188e5e00816d12c32f2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721007897https://doaj.org/toc/2352-4847A main feature of future smart grids is their self-healing capability, which allows fault location, isolation and service restoration to be done automatically. Restoration is a combinatorial non-linear optimization problem for which conventional mathematical programming techniques and heuristic methods become computationally very costly. This paper proposes a decentralized restoration method that avoids the computational burden of fully centralized optimization techniques while still providing good solutions and avoiding single points of failure. By pre-calculating the amount of power that can be transferred from other feeders without violating their limits, restoration within the outage area is converted into a binary integer linear optimization problem which can be easily solved. To prove its effectiveness, different case scenarios were tested on 14-bus and 70-bus systems. The multi-agent system was implemented in JAVA Agent Development Framework (JADE) and MATLAB was employed for the main algorithms within each agent. The outcomes were compared to those of previously proposed centralized and decentralized approaches, proving that the method proposed shows better computational efficiency than the centralized approach and better results than the decentralized approach. Therefore, the proposed algorithm provides an overall improved solution.Amer Al-HinaiHassan Haes AlhelouElsevierarticleDistribution network restorationMulti-agentSelf-healingSmart gridElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8083-8090 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Distribution network restoration Multi-agent Self-healing Smart grid Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Distribution network restoration Multi-agent Self-healing Smart grid Electrical engineering. Electronics. Nuclear engineering TK1-9971 Amer Al-Hinai Hassan Haes Alhelou A multi-agent system for distribution network restoration in future smart grids
description	A main feature of future smart grids is their self-healing capability, which allows fault location, isolation and service restoration to be done automatically. Restoration is a combinatorial non-linear optimization problem for which conventional mathematical programming techniques and heuristic methods become computationally very costly. This paper proposes a decentralized restoration method that avoids the computational burden of fully centralized optimization techniques while still providing good solutions and avoiding single points of failure. By pre-calculating the amount of power that can be transferred from other feeders without violating their limits, restoration within the outage area is converted into a binary integer linear optimization problem which can be easily solved. To prove its effectiveness, different case scenarios were tested on 14-bus and 70-bus systems. The multi-agent system was implemented in JAVA Agent Development Framework (JADE) and MATLAB was employed for the main algorithms within each agent. The outcomes were compared to those of previously proposed centralized and decentralized approaches, proving that the method proposed shows better computational efficiency than the centralized approach and better results than the decentralized approach. Therefore, the proposed algorithm provides an overall improved solution.
format	article
author	Amer Al-Hinai Hassan Haes Alhelou
author_facet	Amer Al-Hinai Hassan Haes Alhelou
author_sort	Amer Al-Hinai
title	A multi-agent system for distribution network restoration in future smart grids
title_short	A multi-agent system for distribution network restoration in future smart grids
title_full	A multi-agent system for distribution network restoration in future smart grids
title_fullStr	A multi-agent system for distribution network restoration in future smart grids
title_full_unstemmed	A multi-agent system for distribution network restoration in future smart grids
title_sort	multi-agent system for distribution network restoration in future smart grids
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b0763a8ed6d841188e5e00816d12c32f
work_keys_str_mv	AT ameralhinai amultiagentsystemfordistributionnetworkrestorationinfuturesmartgrids AT hassanhaesalhelou amultiagentsystemfordistributionnetworkrestorationinfuturesmartgrids AT ameralhinai multiagentsystemfordistributionnetworkrestorationinfuturesmartgrids AT hassanhaesalhelou multiagentsystemfordistributionnetworkrestorationinfuturesmartgrids
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A multi-agent system for distribution network restoration in future smart grids

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