Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources

Abstract The high penetration of uncertain resources challenges the security of power system operation. By taking the impact of rescheduling under contingencies into consideration, reliability‐constrained unit commitment (RCUC) is developed to address this challenge. Although several efforts have be...

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Autores principales:	Yiping Yuan, Yao Zhang, Jianxue Wang, Zhou Liu, Zhe Chen
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
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/59fca981d97841a7a622241320949d71
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spelling	oai:doaj.org-article:59fca981d97841a7a622241320949d712021-11-16T15:47:59ZEnhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources1751-86951751-868710.1049/gtd2.12272https://doaj.org/article/59fca981d97841a7a622241320949d712021-12-01T00:00:00Zhttps://doi.org/10.1049/gtd2.12272https://doaj.org/toc/1751-8687https://doaj.org/toc/1751-8695Abstract The high penetration of uncertain resources challenges the security of power system operation. By taking the impact of rescheduling under contingencies into consideration, reliability‐constrained unit commitment (RCUC) is developed to address this challenge. Although several efforts have been made in modelling reliability constraints, the existing methods can only manage oversimplified low‐order temporal‐independent contingencies without considering wide‐range contingencies or their state‐transition‐process issue. To quantify the impact of rescheduling on the normal‐state scheduling process denoted by UC problem, this paper builds up a Bayesian inference method for encoding reliability constraints in wide‐range temporal‐dependent contingencies. Three predictors, for example, expected‐generator‐rescheduling‐power, expected‐energy‐not‐serviced and lost‐of‐load‐probability, are selected to describe the possible corrective behaviours in rescheduling process and quantified by using Bayesian inference method. Then, these predictors are reformatted as a set of linearized constraints to be incorporated into UC. The proposed RCUC comprehensively considers the effect of rescheduling in wide‐range temporal‐dependent contingencies. Therefore, it can reveal the influence of generator rescheduling in wide‐range contingencies and keep better reliability performance than those methods reported in previous RCUC studies. The modified IEEE 30‐bus test system and IEEE 118‐bus test system are used to show the proposed model's effectiveness.Yiping YuanYao ZhangJianxue WangZhou LiuZhe ChenWileyarticleDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENIET Generation, Transmission & Distribution, Vol 15, Iss 24, Pp 3488-3501 (2021)
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 Yiping Yuan Yao Zhang Jianxue Wang Zhou Liu Zhe Chen Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources
description	Abstract The high penetration of uncertain resources challenges the security of power system operation. By taking the impact of rescheduling under contingencies into consideration, reliability‐constrained unit commitment (RCUC) is developed to address this challenge. Although several efforts have been made in modelling reliability constraints, the existing methods can only manage oversimplified low‐order temporal‐independent contingencies without considering wide‐range contingencies or their state‐transition‐process issue. To quantify the impact of rescheduling on the normal‐state scheduling process denoted by UC problem, this paper builds up a Bayesian inference method for encoding reliability constraints in wide‐range temporal‐dependent contingencies. Three predictors, for example, expected‐generator‐rescheduling‐power, expected‐energy‐not‐serviced and lost‐of‐load‐probability, are selected to describe the possible corrective behaviours in rescheduling process and quantified by using Bayesian inference method. Then, these predictors are reformatted as a set of linearized constraints to be incorporated into UC. The proposed RCUC comprehensively considers the effect of rescheduling in wide‐range temporal‐dependent contingencies. Therefore, it can reveal the influence of generator rescheduling in wide‐range contingencies and keep better reliability performance than those methods reported in previous RCUC studies. The modified IEEE 30‐bus test system and IEEE 118‐bus test system are used to show the proposed model's effectiveness.
format	article
author	Yiping Yuan Yao Zhang Jianxue Wang Zhou Liu Zhe Chen
author_facet	Yiping Yuan Yao Zhang Jianxue Wang Zhou Liu Zhe Chen
author_sort	Yiping Yuan
title	Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources
title_short	Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources
title_full	Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources
title_fullStr	Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources
title_full_unstemmed	Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources
title_sort	enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/59fca981d97841a7a622241320949d71
work_keys_str_mv	AT yipingyuan enhancementinreliabilityconstrainedunitcommitmentconsideringstatetransitionprocessanduncertainresources AT yaozhang enhancementinreliabilityconstrainedunitcommitmentconsideringstatetransitionprocessanduncertainresources AT jianxuewang enhancementinreliabilityconstrainedunitcommitmentconsideringstatetransitionprocessanduncertainresources AT zhouliu enhancementinreliabilityconstrainedunitcommitmentconsideringstatetransitionprocessanduncertainresources AT zhechen enhancementinreliabilityconstrainedunitcommitmentconsideringstatetransitionprocessanduncertainresources
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Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources

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