Data-driven static equivalence with physics-informed Koopman operators
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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摘要With the deployment of measurement units, fitting the static equivalent models of distribution networks (DNs) by linear regression has been recognized as an effective method in the power flow analysis of a transmission network. The increasing volatility of measurements caused by variable distributed renewable energy sources makes it more difficult to accurately fit such equivalent models. To tackle this challenge, this letter proposes a novel data-driven method to improve the equivalency accuracy of DNs with distributed energy resources. This letter provides a new perspective that an equivalent model can be regarded as a mapping from internal conditions and border voltages to border power injections. Such a mapping can be established through 1) Koopman operator theory, and 2) physical features of power flow equations at the root node of a DN. The performance of the proposed method is demonstrated on the IEEE 33-bus and IEEE 136-bus test systems connected to a 661-bus utility system.
出版社接受日期20.04.2023
著者Wei Lin, Changhong Zhao, Maosheng Gao, C. Y. Chung
期刊名稱CSEE Journal of Power and Energy Systems
出版年份2024
月份1
卷號10
期次1
出版社CSEE
頁次432 - 438
電子國際標準期刊號2096-0042
語言美式英語

上次更新時間 2024-07-02 於 15:56