Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty

Abstract Standalone multi‐energy hub is the next frontier of electric grid modernization. It is vital to optimize the standalone multi‐energy hub capacity configuration to enhance the hub reliability, economic efficiency, and sustainability. Therefore, this paper proposes a novel multi‐objective cap...

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Autores principales:	Hui Hou, Peng Liu, Zhenfeng Xiao, Xiangtian Deng, Liang Huang, Ruiming Zhang, Changjun Xie
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Energy industries. Energy policy. Fuel trade HD9502-9502.5 Production of electric energy or power. Powerplants. Central stations TK1001-1841
Acceso en línea:	https://doaj.org/article/de34e5fee3c74403bd16d5550cccc626
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spelling	oai:doaj.org-article:de34e5fee3c74403bd16d5550cccc6262021-11-22T16:30:08ZCapacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty2634-158110.1049/enc2.12028https://doaj.org/article/de34e5fee3c74403bd16d5550cccc6262021-09-01T00:00:00Zhttps://doi.org/10.1049/enc2.12028https://doaj.org/toc/2634-1581Abstract Standalone multi‐energy hub is the next frontier of electric grid modernization. It is vital to optimize the standalone multi‐energy hub capacity configuration to enhance the hub reliability, economic efficiency, and sustainability. Therefore, this paper proposes a novel multi‐objective capacity configuration model for standalone multi‐energy hub considering electricity, heat and hydrogen energy uncertainty. First, the standalone multi‐energy hub model with electricity, heat, and hydrogen energy is established. It takes into account photovoltaic generators, wind generation, combined heat and power units, power to gas, gas boiler and hydrogen storage tank to meet the electrical, thermal and hydrogen energy demands. At the same time, in order to solve the influence of uncertainty on hub capacity configuration, the typical source‐load scenarios are established considering the uncertainty of wind speed, solar radiation and energy demands. On this basis, the objective functions and constraints of the capacity configuration model are presented. The improved hybrid multi‐objective particle swarm optimization algorithm and fuzzy membership function are used to solve the model. Finally, case studies verified the effectiveness and rationality of the proposed model.Hui HouPeng LiuZhenfeng XiaoXiangtian DengLiang HuangRuiming ZhangChangjun XieWileyarticleEnergy industries. Energy policy. Fuel tradeHD9502-9502.5Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENEnergy Conversion and Economics, Vol 2, Iss 3, Pp 122-132 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy industries. Energy policy. Fuel trade HD9502-9502.5 Production of electric energy or power. Powerplants. Central stations TK1001-1841
spellingShingle	Energy industries. Energy policy. Fuel trade HD9502-9502.5 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Hui Hou Peng Liu Zhenfeng Xiao Xiangtian Deng Liang Huang Ruiming Zhang Changjun Xie Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty
description	Abstract Standalone multi‐energy hub is the next frontier of electric grid modernization. It is vital to optimize the standalone multi‐energy hub capacity configuration to enhance the hub reliability, economic efficiency, and sustainability. Therefore, this paper proposes a novel multi‐objective capacity configuration model for standalone multi‐energy hub considering electricity, heat and hydrogen energy uncertainty. First, the standalone multi‐energy hub model with electricity, heat, and hydrogen energy is established. It takes into account photovoltaic generators, wind generation, combined heat and power units, power to gas, gas boiler and hydrogen storage tank to meet the electrical, thermal and hydrogen energy demands. At the same time, in order to solve the influence of uncertainty on hub capacity configuration, the typical source‐load scenarios are established considering the uncertainty of wind speed, solar radiation and energy demands. On this basis, the objective functions and constraints of the capacity configuration model are presented. The improved hybrid multi‐objective particle swarm optimization algorithm and fuzzy membership function are used to solve the model. Finally, case studies verified the effectiveness and rationality of the proposed model.
format	article
author	Hui Hou Peng Liu Zhenfeng Xiao Xiangtian Deng Liang Huang Ruiming Zhang Changjun Xie
author_facet	Hui Hou Peng Liu Zhenfeng Xiao Xiangtian Deng Liang Huang Ruiming Zhang Changjun Xie
author_sort	Hui Hou
title	Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty
title_short	Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty
title_full	Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty
title_fullStr	Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty
title_full_unstemmed	Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty
title_sort	capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/de34e5fee3c74403bd16d5550cccc626
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_version_	1718417526795272192

Capacity configuration optimization of standalone multi‐energy hub considering electricity, heat and hydrogen uncertainty

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