Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage

To deal with the uncertainties of wind power and load residing in the power supply reliability model, an interval reliability evaluation method is proposed by combining the wind power generation and energy storage system (ESS). Firstly, the interval power supply reliability evaluation model, which b...

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Autores principales:	Shiyu Ji, Yi Sun, Lin Gao, Huaizhi Yang, Wanqing Jia, Yufeng Luo, Wanrong Chen
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	hybrid energy system interval optimization reliability evaluation energy storage system sequential Monte Carlo simulation General Works A
Acceso en línea:	https://doaj.org/article/35de7c56eeca4a52b1e40cff517484c7
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spelling	oai:doaj.org-article:35de7c56eeca4a52b1e40cff517484c72021-11-30T22:02:57ZInterval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage2296-598X10.3389/fenrg.2021.792525https://doaj.org/article/35de7c56eeca4a52b1e40cff517484c72021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.792525/fullhttps://doaj.org/toc/2296-598XTo deal with the uncertainties of wind power and load residing in the power supply reliability model, an interval reliability evaluation method is proposed by combining the wind power generation and energy storage system (ESS). Firstly, the interval power supply reliability evaluation model, which belongs to an interval mixed integer program (IMIP), is established based on the interval variables. Secondly, the IMIP model is transformed into the deterministic optimization model under two extreme circumstances by utilizing the possibility degree theory of interval numbers. The maximum power supply probability, considering the wind power interval to meet the load demand interval, is sought by optimizing outputs of the ESS and generators, i.e., the upper boundary of the load shedding is the smallest. Finally, the states of wind turbines and generators are generated based on sequential Monte Carlo simulation, and the reliability of the hybrid energy generation system is evaluated by calculating the loss of load expectation, expected energy not supplied, and maximum power supply probability, which provides a basis for establishing interval optimal allocation model of energy storage. IEEE RTS-24 test system is utilized to verify the performance of the proposed method, and the model is solved by the CPLEX 12.7 solver. The simulation results demonstrate the effectiveness and applicability of the proposed method.Shiyu JiYi SunLin GaoHuaizhi YangWanqing JiaYufeng LuoWanrong ChenFrontiers Media S.A.articlehybrid energy systeminterval optimizationreliability evaluationenergy storage systemsequential Monte Carlo simulationGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hybrid energy system interval optimization reliability evaluation energy storage system sequential Monte Carlo simulation General Works A
spellingShingle	hybrid energy system interval optimization reliability evaluation energy storage system sequential Monte Carlo simulation General Works A Shiyu Ji Yi Sun Lin Gao Huaizhi Yang Wanqing Jia Yufeng Luo Wanrong Chen Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage
description	To deal with the uncertainties of wind power and load residing in the power supply reliability model, an interval reliability evaluation method is proposed by combining the wind power generation and energy storage system (ESS). Firstly, the interval power supply reliability evaluation model, which belongs to an interval mixed integer program (IMIP), is established based on the interval variables. Secondly, the IMIP model is transformed into the deterministic optimization model under two extreme circumstances by utilizing the possibility degree theory of interval numbers. The maximum power supply probability, considering the wind power interval to meet the load demand interval, is sought by optimizing outputs of the ESS and generators, i.e., the upper boundary of the load shedding is the smallest. Finally, the states of wind turbines and generators are generated based on sequential Monte Carlo simulation, and the reliability of the hybrid energy generation system is evaluated by calculating the loss of load expectation, expected energy not supplied, and maximum power supply probability, which provides a basis for establishing interval optimal allocation model of energy storage. IEEE RTS-24 test system is utilized to verify the performance of the proposed method, and the model is solved by the CPLEX 12.7 solver. The simulation results demonstrate the effectiveness and applicability of the proposed method.
format	article
author	Shiyu Ji Yi Sun Lin Gao Huaizhi Yang Wanqing Jia Yufeng Luo Wanrong Chen
author_facet	Shiyu Ji Yi Sun Lin Gao Huaizhi Yang Wanqing Jia Yufeng Luo Wanrong Chen
author_sort	Shiyu Ji
title	Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage
title_short	Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage
title_full	Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage
title_fullStr	Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage
title_full_unstemmed	Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage
title_sort	interval reliability evaluation of a hybrid energy generation system with energy storage
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/35de7c56eeca4a52b1e40cff517484c7
work_keys_str_mv	AT shiyuji intervalreliabilityevaluationofahybridenergygenerationsystemwithenergystorage AT yisun intervalreliabilityevaluationofahybridenergygenerationsystemwithenergystorage AT lingao intervalreliabilityevaluationofahybridenergygenerationsystemwithenergystorage AT huaizhiyang intervalreliabilityevaluationofahybridenergygenerationsystemwithenergystorage AT wanqingjia intervalreliabilityevaluationofahybridenergygenerationsystemwithenergystorage AT yufengluo intervalreliabilityevaluationofahybridenergygenerationsystemwithenergystorage AT wanrongchen intervalreliabilityevaluationofahybridenergygenerationsystemwithenergystorage
_version_	1718406255129657344

Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage

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