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A contingency partitioning approach for preventive-corrective security-constrained optimal power flow computation

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成果类型:
期刊论文
作者:
Xu, Yan;Yang, Hongming*;Zhang, Rui;Dong, Zhao Yang;Lai, Mingyong;...
通讯作者:
Yang, Hongming
作者机构:
[Xu, Yan; Yang, Hongming; Lai, Mingyong; Dong, Zhao Yang] Changsha Univ Sci & Technol, Int Coll, Hunan Prov Key Lab Smart Grids Operat & Control, Changsha 410114, Hunan, Peoples R China.
[Xu, Yan; Zhang, Rui; Dong, Zhao Yang] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia.
[Zhang, Rui] Southern China Power Grid Res Inst, Dept Smart Grid, Guangzhou, Guangdong, Peoples R China.
[Wong, Kit Po] Univ Western Australia, Sch Elect Elect & Comp Engn, Perth, WA 6009, Australia.
通讯机构:
[Yang, Hongming] C
Changsha Univ Sci & Technol, Int Coll, Hunan Prov Key Lab Smart Grids Operat & Control, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Benders decomposition;Contingency partitioning;Corrective control;Optimal power flow
期刊:
Electric Power Systems Research
ISSN:
0378-7796
年:
2016
卷:
132
页码:
132-140
基金类别:
Acknowledgements Yan Xu's work is supported by the University of Sydney Postdoctoral Research Fellowship. This research is also supported by funding from the Faculty of Engineering & Information Technologies, The University of Sydney, under the Faculty Research Cluster Program and Early Career Development Scheme, and the National Natural Science Foundation of China (Key Program 71331001, 71420107027).
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
国际学院
摘要:
Security-constrained optimal power flow (SCOPF) is an important tool to optimize power system's operating state while satisfying security requirements with respect to credible contingencies. As a necessary extension to conventional SCOPFs, the recently proposed preventive-corrective SCOPF (PCSCOPF) aims to achieve the best coordination between the preventive control (PC) and corrective control (CC) considering the probabilistic nature of the contingencies and the cost of CC as well as other binding constraints. However, PCSCOPF renders a large-scale, multi-stage, non-linear programming problem...

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