Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics

Under the background of clean and low-carbon energy transformation, renewable distributed generation is connected to the distribution system on a large scale. This study proposes a probabilistic assessment method of hosting capacity considering wind–photovoltaic–load temporal characteristics in dist...

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Auteurs principaux:	Nianchun Du, Fei Tang, Qingfen Liao, Chenxu Wang, Xin Gao, Jiarui Xie, Jian Zhang, Runzhao Lu
Format:	article
Langue:	EN
Publié:	Frontiers Media S.A. 2021
Sujets:	distributed renewable energy hosting capacity holomorphic embedding method time series voltage violation General Works A
Accès en ligne:	https://doaj.org/article/a1792be11231490b8fee95cbd57e0aa6
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id	oai:doaj.org-article:a1792be11231490b8fee95cbd57e0aa6
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spelling	oai:doaj.org-article:a1792be11231490b8fee95cbd57e0aa62021-11-30T22:29:48ZHosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics2296-598X10.3389/fenrg.2021.767610https://doaj.org/article/a1792be11231490b8fee95cbd57e0aa62021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.767610/fullhttps://doaj.org/toc/2296-598XUnder the background of clean and low-carbon energy transformation, renewable distributed generation is connected to the distribution system on a large scale. This study proposes a probabilistic assessment method of hosting capacity considering wind–photovoltaic–load temporal characteristics in distribution networks. First, based on time series of wind, photovoltaic, and load demands, a discretization–aggregation technique is introduced to generate and filter extreme combinations. The method can effectively reduce the scenarios that need to be evaluated. Then a holomorphic embedding method considering generation and load scaling directions is proposed. The holomorphic function of voltage about an embedding variable is established, and it is analytically expanded in the form of series. The hosting capacity restrained by the voltage violation problem is calculated quickly and accurately. Finally, the proposed stochastic framework is implemented to evaluate hosting capacity involving renewable energy types, penetration levels, and locations. The hosting capacity of single energy and hybrid wind–solar renewable energy systems is evaluated from the perspective of probability analysis. The results verify the outstanding performance of the hybrid wind–solar energy system in improving the hosting capacity.Nianchun DuFei TangQingfen LiaoChenxu WangXin GaoJiarui XieJian ZhangRunzhao LuFrontiers Media S.A.articledistributed renewable energyhosting capacityholomorphic embedding methodtime seriesvoltage violationGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	distributed renewable energy hosting capacity holomorphic embedding method time series voltage violation General Works A
spellingShingle	distributed renewable energy hosting capacity holomorphic embedding method time series voltage violation General Works A Nianchun Du Fei Tang Qingfen Liao Chenxu Wang Xin Gao Jiarui Xie Jian Zhang Runzhao Lu Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics
description	Under the background of clean and low-carbon energy transformation, renewable distributed generation is connected to the distribution system on a large scale. This study proposes a probabilistic assessment method of hosting capacity considering wind–photovoltaic–load temporal characteristics in distribution networks. First, based on time series of wind, photovoltaic, and load demands, a discretization–aggregation technique is introduced to generate and filter extreme combinations. The method can effectively reduce the scenarios that need to be evaluated. Then a holomorphic embedding method considering generation and load scaling directions is proposed. The holomorphic function of voltage about an embedding variable is established, and it is analytically expanded in the form of series. The hosting capacity restrained by the voltage violation problem is calculated quickly and accurately. Finally, the proposed stochastic framework is implemented to evaluate hosting capacity involving renewable energy types, penetration levels, and locations. The hosting capacity of single energy and hybrid wind–solar renewable energy systems is evaluated from the perspective of probability analysis. The results verify the outstanding performance of the hybrid wind–solar energy system in improving the hosting capacity.
format	article
author	Nianchun Du Fei Tang Qingfen Liao Chenxu Wang Xin Gao Jiarui Xie Jian Zhang Runzhao Lu
author_facet	Nianchun Du Fei Tang Qingfen Liao Chenxu Wang Xin Gao Jiarui Xie Jian Zhang Runzhao Lu
author_sort	Nianchun Du
title	Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics
title_short	Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics
title_full	Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics
title_fullStr	Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics
title_full_unstemmed	Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics
title_sort	hosting capacity assessment in distribution networks considering wind–photovoltaic–load temporal characteristics
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/a1792be11231490b8fee95cbd57e0aa6
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Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics

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