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State Evaluation Based on Feature Identification of Measurement Data:for Resilient Power System 被引量:1
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作者 Hongxia Wang Bo Wang +3 位作者 Peng Luo Fuqi Ma yinyu zhou Mohamed A.Mohamed 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2022年第4期983-992,共10页
Resilient power systems urgently need real-time evaluation of their operational states.By mining the characteristics of the grid operational data and mapping them to the operational state,this paper proposes a method ... Resilient power systems urgently need real-time evaluation of their operational states.By mining the characteristics of the grid operational data and mapping them to the operational state,this paper proposes a method to evaluate the real-time state and the evolution direction of power systems.First,the state evaluation matrix is constructed using nodal voltages.Then,from the data-driven perspective,the grid state is embodied in the operational data change.Furthermore,four indicators are proposed to characterize the power grid statefrom inherent physical and operating characteristics perspectives.Finally,through the simulations of a real power grid in China,it is shown that the method proposed in this paper can adequately characterize the power grid state,and is robust against bad data. 展开更多
关键词 Data characteristics evolution direction random matrix theory real-time evaluation resilient power system
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