期刊
IEEE TRANSACTIONS ON POWER SYSTEMS
卷 34, 期 4, 页码 3188-3198出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2019.2894769
关键词
Dynamic state estimation (DSE); Kalman filtering; synchrophasor measurements; static state estimation (SSE); tracking state estimation (TSE); forecasting-aided state estimation (FASE); parameter estimation; robust estimation; bad data; power system protection; power system dynamics; power system stability and control
资金
- EPSRC [EP/K036173/1] Funding Source: UKRI
This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation, and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.
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