A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system

To increase the energy utilization efficiency, it becomes fairly promising to convert the surplus electricity from renewable generation to other forms of energy for multi-dimensional consumption. In this paper, we propose a hybrid energy scheduling model for a multi-energy microgrid with the integra...

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Autores principales:	Mengge Shi, Han Wang, Cheng Lyu, Peng Xie, Zhao Xu, Youwei Jia
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Multi-energy microgrid Energy scheduling Hydrogen energy storage system Degradation cost Weighed-MPC Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/a5b3fb3f5ea34762a2afc3262c3f4f4d
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spelling	oai:doaj.org-article:a5b3fb3f5ea34762a2afc3262c3f4f4d2021-11-26T04:32:56ZA hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system2352-484710.1016/j.egyr.2021.08.037https://doaj.org/article/a5b3fb3f5ea34762a2afc3262c3f4f4d2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721006399https://doaj.org/toc/2352-4847To increase the energy utilization efficiency, it becomes fairly promising to convert the surplus electricity from renewable generation to other forms of energy for multi-dimensional consumption. In this paper, we propose a hybrid energy scheduling model for a multi-energy microgrid with the integration of the hydrogen energy storage system (HESS) and the heat storage system (HSS). In our study, the operational uncertainties induced by renewables and loads (including electrical, hydrogen, and heat demand) are comprehensively considered. We investigate such an operating regime that HESS stores the surplus electricity in case of abundant renewable generation and generates electricity through hydrogen fuel cells otherwise. Further, heat units including HESS, combined heat and power (CHP), and external heat suppliers are modeled in this paper. We split the decision-makings of energy scheduling for both the day-ahead stage and real-time stage to tackle the power balancing issues. To effectively solve the aforementioned optimization model, a flexible weighted Model Predictive Control (weighted-MPC) strategy is proposed, in which the receding horizon can be suitably adjusted according to the forecasting accuracy of system uncertainties. The effectiveness of the proposed hybrid model for microgrid energy scheduling is comprehensively verified through extensive case studies.Mengge ShiHan WangCheng LyuPeng XieZhao XuYouwei JiaElsevierarticleMulti-energy microgridEnergy schedulingHydrogen energy storage systemDegradation costWeighed-MPCElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 357-368 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Multi-energy microgrid Energy scheduling Hydrogen energy storage system Degradation cost Weighed-MPC Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Multi-energy microgrid Energy scheduling Hydrogen energy storage system Degradation cost Weighed-MPC Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mengge Shi Han Wang Cheng Lyu Peng Xie Zhao Xu Youwei Jia A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system
description	To increase the energy utilization efficiency, it becomes fairly promising to convert the surplus electricity from renewable generation to other forms of energy for multi-dimensional consumption. In this paper, we propose a hybrid energy scheduling model for a multi-energy microgrid with the integration of the hydrogen energy storage system (HESS) and the heat storage system (HSS). In our study, the operational uncertainties induced by renewables and loads (including electrical, hydrogen, and heat demand) are comprehensively considered. We investigate such an operating regime that HESS stores the surplus electricity in case of abundant renewable generation and generates electricity through hydrogen fuel cells otherwise. Further, heat units including HESS, combined heat and power (CHP), and external heat suppliers are modeled in this paper. We split the decision-makings of energy scheduling for both the day-ahead stage and real-time stage to tackle the power balancing issues. To effectively solve the aforementioned optimization model, a flexible weighted Model Predictive Control (weighted-MPC) strategy is proposed, in which the receding horizon can be suitably adjusted according to the forecasting accuracy of system uncertainties. The effectiveness of the proposed hybrid model for microgrid energy scheduling is comprehensively verified through extensive case studies.
format	article
author	Mengge Shi Han Wang Cheng Lyu Peng Xie Zhao Xu Youwei Jia
author_facet	Mengge Shi Han Wang Cheng Lyu Peng Xie Zhao Xu Youwei Jia
author_sort	Mengge Shi
title	A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system
title_short	A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system
title_full	A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system
title_fullStr	A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system
title_full_unstemmed	A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system
title_sort	hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a5b3fb3f5ea34762a2afc3262c3f4f4d
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A hybrid model of energy scheduling for integrated multi-energy microgrid with hydrogen and heat storage system

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