Junjie Rong, Ming Zhou, Gengyin Li. Resilience-Oriented Restoration Strategy by Offshore Wind Power Considering Risk[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(6):2052-2065.
Junjie Rong, Ming Zhou, Gengyin Li. Resilience-Oriented Restoration Strategy by Offshore Wind Power Considering Risk[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2052-2065.
Junjie Rong, Ming Zhou, Gengyin Li. Resilience-Oriented Restoration Strategy by Offshore Wind Power Considering Risk[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(6):2052-2065.DOI: 10.17775/CSEEJPES.2022.07710.
Junjie Rong, Ming Zhou, Gengyin Li. Resilience-Oriented Restoration Strategy by Offshore Wind Power Considering Risk[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2052-2065.DOI: 10.17775/CSEEJPES.2022.07710.
Resilience-Oriented Restoration Strategy by Offshore Wind Power Considering Risk
Global climate changes have created intense natural disasters such as typhoons
which may cause serious damage to power systems. As an emerging renewable energy resource
off-shore wind power has great potential in power systems resilience enhancement with its rapid start-up capability and development of anti-typhoon technology. In this paper
a restoration strategy by offshore wind power considering risk is proposed to speed up the restoration process and enhance system resilience. Specifically
a failure risk model of an individual wind turbine and then the whole wind farm is built for predicting severe weather's impact
with focus on failure probability. Further
a quantification model of resilience enhancement and risk cost
based on customer interruption cost assessment method
is introduced. Then
a two-stage optimized decision-making model is proposed to solve the scheme of offshore wind power and conventional power units in load restoration process. Case studies are undertaken on a modified IEEE RTS-79 system and results indicate the proposed restoration strategy can shorten duration of restoration and reduce customers' economic losses meanwhile ensuring system safety.
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Keywords
references
11. Ontario power system restoration plan , 2016 [Online ] . Available: https://www.ieso.ca/en/Sector-Participants/System-Reliability/Ontario-Power-System-Restoration-Plan.
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Jia Liu
Biao Jiang
Zao Tang
Pingliang Zeng
Tong Su
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Department of Automation, Hangzhou Dianzi University
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