Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation

Bibliographic Details
Main Authors: Qianheng Gao, Junpeng Zhu, Yue Yuan
Format: Article
Language:English
Published: China electric power research institute 2021-05-01
Series:CSEE Journal of Power and Energy Systems
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spelling doaj-966f80c492be4ab5aeff0aba715760c72021-07-09T08:03:26ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422096-00422021-05-017358259010.17775/CSEEJPES.2019.01300Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulationQianheng Gao0Junpeng Zhu1Yue Yuan2Department of Energy and Electrical Engineering, Hohai University, Nanjing 211100, ChinaDepartment of Energy and Electrical Engineering, Hohai University, Nanjing 211100, ChinaDepartment of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
collection DOAJ
language English
format Article
sources DOAJ
author Qianheng Gao
Junpeng Zhu
Yue Yuan
spellingShingle Qianheng Gao
Junpeng Zhu
Yue Yuan
Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
CSEE Journal of Power and Energy Systems
author_facet Qianheng Gao
Junpeng Zhu
Yue Yuan
author_sort Qianheng Gao
title Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
title_short Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
title_full Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
title_fullStr Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
title_full_unstemmed Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
title_sort renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
publisher China electric power research institute
series CSEE Journal of Power and Energy Systems
issn 2096-0042
2096-0042
publishDate 2021-05-01
work_keys_str_mv AT qianhenggao renewablegenerationcapacityandreliabilityassessmentsforresilientactivedistributionnetworksbasedontimesequenceproductionsimulation
AT junpengzhu renewablegenerationcapacityandreliabilityassessmentsforresilientactivedistributionnetworksbasedontimesequenceproductionsimulation
AT yueyuan renewablegenerationcapacityandreliabilityassessmentsforresilientactivedistributionnetworksbasedontimesequenceproductionsimulation
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