Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration

Abstract Renewable‐dominant mixtures with hydrogeneration and variable renewable energies (VREs) have been the focus for decarbonization of power systems. Hydrogeneration with large reservoir becomes the main regulating source. The long‐term generation scheduling (LTGS) on monthly reservoir regulati...

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Autores principales:	Yisha Lin, Ying Qiao, Zongxiang Lu
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/dceaeca1e050433981c1aba33f0b5773
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spelling	oai:doaj.org-article:dceaeca1e050433981c1aba33f0b57732021-12-02T14:01:23ZLong‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration1751-86951751-868710.1049/gtd2.12276https://doaj.org/article/dceaeca1e050433981c1aba33f0b57732022-01-01T00:00:00Zhttps://doi.org/10.1049/gtd2.12276https://doaj.org/toc/1751-8687https://doaj.org/toc/1751-8695Abstract Renewable‐dominant mixtures with hydrogeneration and variable renewable energies (VREs) have been the focus for decarbonization of power systems. Hydrogeneration with large reservoir becomes the main regulating source. The long‐term generation scheduling (LTGS) on monthly reservoir regulation for the approaching year becomes more significant because reserving adequate water storage is related to intramonth balance, considering that hydrogeneration has to supplement deficit energy of VRE generation. However, conventional LTGS method that is based on monthly averages overestimates the hydrogeneration's intramonth energy supporting capability, whereas rolling short‐term generation scheduling method cannot account the long‐term effect of reservoir regulation decisions. This paper proposes a new LTGS method accounting intramonth imbalance risk that the energy deficit of VRE generation exceeds the maximum supporting energy of hydrogeneration. Since intramonth imbalance risk is coupled with LTGS in an uncertain and implicit way, intramonth extreme scenarios are introduced based on distribution quantiles of natural inflow of reservoirs and VRE generation, and the probabilistic intramonth imbalance risk constraints can be transformed as the hydrogeneration must supplement energy deficit of VRE generation during the extreme scenarios. A case study is conducted on a Wind‐PV‐Hydro energy base of southwestern China. The proposed method is found able to improve the feasibility and reliability of LTGS compared to other LTGS methods. Moreover, the high calculation efficiency of conventional LTGS method is inherited.Yisha LinYing QiaoZongxiang LuWileyarticleDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENIET Generation, Transmission & Distribution, Vol 16, Iss 1, Pp 57-70 (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 Yisha Lin Ying Qiao Zongxiang Lu Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration
description	Abstract Renewable‐dominant mixtures with hydrogeneration and variable renewable energies (VREs) have been the focus for decarbonization of power systems. Hydrogeneration with large reservoir becomes the main regulating source. The long‐term generation scheduling (LTGS) on monthly reservoir regulation for the approaching year becomes more significant because reserving adequate water storage is related to intramonth balance, considering that hydrogeneration has to supplement deficit energy of VRE generation. However, conventional LTGS method that is based on monthly averages overestimates the hydrogeneration's intramonth energy supporting capability, whereas rolling short‐term generation scheduling method cannot account the long‐term effect of reservoir regulation decisions. This paper proposes a new LTGS method accounting intramonth imbalance risk that the energy deficit of VRE generation exceeds the maximum supporting energy of hydrogeneration. Since intramonth imbalance risk is coupled with LTGS in an uncertain and implicit way, intramonth extreme scenarios are introduced based on distribution quantiles of natural inflow of reservoirs and VRE generation, and the probabilistic intramonth imbalance risk constraints can be transformed as the hydrogeneration must supplement energy deficit of VRE generation during the extreme scenarios. A case study is conducted on a Wind‐PV‐Hydro energy base of southwestern China. The proposed method is found able to improve the feasibility and reliability of LTGS compared to other LTGS methods. Moreover, the high calculation efficiency of conventional LTGS method is inherited.
format	article
author	Yisha Lin Ying Qiao Zongxiang Lu
author_facet	Yisha Lin Ying Qiao Zongxiang Lu
author_sort	Yisha Lin
title	Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration
title_short	Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration
title_full	Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration
title_fullStr	Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration
title_full_unstemmed	Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration
title_sort	long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration
publisher	Wiley
publishDate	2022
url	https://doaj.org/article/dceaeca1e050433981c1aba33f0b5773
work_keys_str_mv	AT yishalin longtermgenerationschedulingforrenewabledominantsystemsconcerninglimitedenergysupportingcapabilityofhydrogeneration AT yingqiao longtermgenerationschedulingforrenewabledominantsystemsconcerninglimitedenergysupportingcapabilityofhydrogeneration AT zongxianglu longtermgenerationschedulingforrenewabledominantsystemsconcerninglimitedenergysupportingcapabilityofhydrogeneration
_version_	1718392174230372352

Long‐term generation scheduling for renewable‐dominant systems concerning limited energy supporting capability of hydrogeneration

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