首页|期刊导航|中国电机工程学会电力与能源系统学报(英文版)|KPI-based Real-time Situational Awareness for Power Systems with a High Proportion of Renewable Energy Sources

KPI-based Real-time Situational Awareness for Power Systems with a High Proportion of Renewable Energy SourcesOACSTPCD

KPI-based Real-time Situational Awareness for Power Systems with a High Proportion of Renewable Energy Sources

Tianhan Zhang;Shengyuan Liu;Weiqiang Qiu;Zhenzhi Lin;Lingzhi Zhu;Dawei Zhao;Minhui Qian;Li Yang

College of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaRenewable Energy Re-search Center,China Electric Power Research Institute(State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems,Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application),Nanjing 210003,ChinaRenewable Energy Re-search Center,China Electric Power Research Institute(State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems,Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application),Nanjing 210003,ChinaRenewable Energy Re-search Center,China Electric Power Research Institute(State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems,Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application),Nanjing 210003,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,China

High proportion of renewable energy sources(RES)key performance index(KPI)situational awarenessstate visualization

High proportion of renewable energy sources(RES)key performance index(KPI)situational awarenessstate visualization

《中国电机工程学会电力与能源系统学报(英文版)》 2022 (4)

1060-1073,14

This work was supported in part by the National Key R&D Program of China(2016YFB0900100)and the National Natural Science Foundation of China(52077195).

10.17775/CSEEJPES.2020.01530

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