Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System

Sustainable development of combined electricity and heat system (CEHS) can effectively facilitate the energy transition from fossil energy consumption to comprehensive utilization of multiple energy. The coupled energy system, featured with the risk of components failure and the integrated uncertain...

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Autores principales:	Tongchui Liu, Wenxia Pan, Mingyang Liu, Zhu Zhu
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Contingencies-based MCS CEHS risk indices DRCROM Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/3606dea077724c2c8de75856d615cfd8
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spelling	oai:doaj.org-article:3606dea077724c2c8de75856d615cfd82021-12-01T00:00:27ZContingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System2169-353610.1109/ACCESS.2021.3128419https://doaj.org/article/3606dea077724c2c8de75856d615cfd82021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9615195/https://doaj.org/toc/2169-3536Sustainable development of combined electricity and heat system (CEHS) can effectively facilitate the energy transition from fossil energy consumption to comprehensive utilization of multiple energy. The coupled energy system, featured with the risk of components failure and the integrated uncertain renewable energy sources (RESs), can face a safety and reliability operation challenge. Therefore, achieving the tradeoff between the economy and risk aversion for the CEHS operation is an urgent issue to be settled. This paper proposes a contingencies-based distributionally robust co-risk operation model (DRCROM) for the CEHS, which provides the failure risk sample of components applied by the non-sequenced Monte Carlo simulation (MCS) method and the penalty of energy spillage (including wind spilling and load shedding) under contingencies. Moreover, the uncertain power output risk of RESs can be addressed by using the distributionally robust individual chance-constrained (DRICC) methodology with Wasserstein metric ambiguity set. As a result, incorporating the uncertain component state and power output of RESs into the risk operation can be considered in this paper. Case studies can be conducted to give risk analyses that the average violation probability <inline-formula> <tex-math notation="LaTeX">$V_{p}$ </tex-math></inline-formula> and the total co-risk dispatch cost <inline-formula> <tex-math notation="LaTeX">$C^{\text {Obj}}$ </tex-math></inline-formula> are mainly affected by <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>. Contingencies can also increase risk indices and influence the dispatch energy and energy spillage.Tongchui LiuWenxia PanMingyang LiuZhu ZhuIEEEarticleContingencies-basedMCSCEHSrisk indicesDRCROMElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 156211-156221 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Contingencies-based MCS CEHS risk indices DRCROM Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Contingencies-based MCS CEHS risk indices DRCROM Electrical engineering. Electronics. Nuclear engineering TK1-9971 Tongchui Liu Wenxia Pan Mingyang Liu Zhu Zhu Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System
description	Sustainable development of combined electricity and heat system (CEHS) can effectively facilitate the energy transition from fossil energy consumption to comprehensive utilization of multiple energy. The coupled energy system, featured with the risk of components failure and the integrated uncertain renewable energy sources (RESs), can face a safety and reliability operation challenge. Therefore, achieving the tradeoff between the economy and risk aversion for the CEHS operation is an urgent issue to be settled. This paper proposes a contingencies-based distributionally robust co-risk operation model (DRCROM) for the CEHS, which provides the failure risk sample of components applied by the non-sequenced Monte Carlo simulation (MCS) method and the penalty of energy spillage (including wind spilling and load shedding) under contingencies. Moreover, the uncertain power output risk of RESs can be addressed by using the distributionally robust individual chance-constrained (DRICC) methodology with Wasserstein metric ambiguity set. As a result, incorporating the uncertain component state and power output of RESs into the risk operation can be considered in this paper. Case studies can be conducted to give risk analyses that the average violation probability <inline-formula> <tex-math notation="LaTeX">$V_{p}$ </tex-math></inline-formula> and the total co-risk dispatch cost <inline-formula> <tex-math notation="LaTeX">$C^{\text {Obj}}$ </tex-math></inline-formula> are mainly affected by <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>. Contingencies can also increase risk indices and influence the dispatch energy and energy spillage.
format	article
author	Tongchui Liu Wenxia Pan Mingyang Liu Zhu Zhu
author_facet	Tongchui Liu Wenxia Pan Mingyang Liu Zhu Zhu
author_sort	Tongchui Liu
title	Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System
title_short	Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System
title_full	Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System
title_fullStr	Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System
title_full_unstemmed	Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System
title_sort	contingencies-based distributionally robust co-risk operation for combined electricity and heat system
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/3606dea077724c2c8de75856d615cfd8
work_keys_str_mv	AT tongchuiliu contingenciesbaseddistributionallyrobustcoriskoperationforcombinedelectricityandheatsystem AT wenxiapan contingenciesbaseddistributionallyrobustcoriskoperationforcombinedelectricityandheatsystem AT mingyangliu contingenciesbaseddistributionallyrobustcoriskoperationforcombinedelectricityandheatsystem AT zhuzhu contingenciesbaseddistributionallyrobustcoriskoperationforcombinedelectricityandheatsystem
_version_	1718406132329873408

Contingencies-Based Distributionally Robust Co-Risk Operation for Combined Electricity and Heat System

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