Reliability‐constrained robust expansion planning of active distribution networks

Abstract Power distribution systems have become more complex in recent years due to the integration of new technologies. Motivated by these challenges, this paper describes a model to solve the multi‐period expansion planning problem of active distribution systems, considering uncertainty, reliabili...

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Autores principales:	Rafael S. Pinto, Clodomiro Unsihuay‐Vila, Fabricio H. Tabarro
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2022
Materias:	Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
Acceso en línea:	https://doaj.org/article/ca3ed55942854e01a446ee0e25c45fae
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spelling	oai:doaj.org-article:ca3ed55942854e01a446ee0e25c45fae2021-12-02T14:01:23ZReliability‐constrained robust expansion planning of active distribution networks1751-86951751-868710.1049/gtd2.12263https://doaj.org/article/ca3ed55942854e01a446ee0e25c45fae2022-01-01T00:00:00Zhttps://doi.org/10.1049/gtd2.12263https://doaj.org/toc/1751-8687https://doaj.org/toc/1751-8695Abstract Power distribution systems have become more complex in recent years due to the integration of new technologies. Motivated by these challenges, this paper describes a model to solve the multi‐period expansion planning problem of active distribution systems, considering uncertainty, reliability, distributed generation, self‐healing, reactive power support, switches, and energy storage devices. The objective is to determine the best installation times and locations of new components, minimizing the total cost, and ensuring desired reliability levels. The approach consists of a three‐level decomposition. The first level identifies expansion proposals, the second level finds the worst‐case scenario using adaptive robust optimization, and the third level performs a Monte Carlo Simulation to compute reliability indexes. The main contributions are the introduction of a novel reliability sensitivity matrix to improve computational performance and the representation of the hours of the day inside the expansion planning formulation. The proposed method is illustrated using the IEEE 123‐bus test system. The analyses show high computational efficiency as compared with similar works. The impacts on the number of expansion components placed in the system and on the total cost are presented and discussed using cases varying the uncertainty budget and not considering some of these components.Rafael S. PintoClodomiro Unsihuay‐VilaFabricio H. TabarroWileyarticleDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENIET Generation, Transmission & Distribution, Vol 16, Iss 1, Pp 27-40 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
spellingShingle	Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Rafael S. Pinto Clodomiro Unsihuay‐Vila Fabricio H. Tabarro Reliability‐constrained robust expansion planning of active distribution networks
description	Abstract Power distribution systems have become more complex in recent years due to the integration of new technologies. Motivated by these challenges, this paper describes a model to solve the multi‐period expansion planning problem of active distribution systems, considering uncertainty, reliability, distributed generation, self‐healing, reactive power support, switches, and energy storage devices. The objective is to determine the best installation times and locations of new components, minimizing the total cost, and ensuring desired reliability levels. The approach consists of a three‐level decomposition. The first level identifies expansion proposals, the second level finds the worst‐case scenario using adaptive robust optimization, and the third level performs a Monte Carlo Simulation to compute reliability indexes. The main contributions are the introduction of a novel reliability sensitivity matrix to improve computational performance and the representation of the hours of the day inside the expansion planning formulation. The proposed method is illustrated using the IEEE 123‐bus test system. The analyses show high computational efficiency as compared with similar works. The impacts on the number of expansion components placed in the system and on the total cost are presented and discussed using cases varying the uncertainty budget and not considering some of these components.
format	article
author	Rafael S. Pinto Clodomiro Unsihuay‐Vila Fabricio H. Tabarro
author_facet	Rafael S. Pinto Clodomiro Unsihuay‐Vila Fabricio H. Tabarro
author_sort	Rafael S. Pinto
title	Reliability‐constrained robust expansion planning of active distribution networks
title_short	Reliability‐constrained robust expansion planning of active distribution networks
title_full	Reliability‐constrained robust expansion planning of active distribution networks
title_fullStr	Reliability‐constrained robust expansion planning of active distribution networks
title_full_unstemmed	Reliability‐constrained robust expansion planning of active distribution networks
title_sort	reliability‐constrained robust expansion planning of active distribution networks
publisher	Wiley
publishDate	2022
url	https://doaj.org/article/ca3ed55942854e01a446ee0e25c45fae
work_keys_str_mv	AT rafaelspinto reliabilityconstrainedrobustexpansionplanningofactivedistributionnetworks AT clodomirounsihuayvila reliabilityconstrainedrobustexpansionplanningofactivedistributionnetworks AT fabriciohtabarro reliabilityconstrainedrobustexpansionplanningofactivedistributionnetworks
_version_	1718392169459351552

Reliability‐constrained robust expansion planning of active distribution networks

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