<i>FFRLS</i> -Based Data-Driven Voltage Security Assessment for Active Distribution Networks
Deyou YangSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, ChinaXinqi YuanSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, ChinaHan GaoSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, ChinaJin MaSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, AustraliaZhe ChenDepartment of Energy Technology, Aalborg University, Aalborg, Denmark
2025en
ABI
Annotatsiya
An online, data-driven algorithm for tracking voltage sensitivity in active distribution networks is presented. This algorithm, based on power flow analysis and recursive least squares with a forgetting factor (FFRLS), extracts voltage sensitivity from measurement data. Its adaptive nature ensures accuracy despite changing operating conditions. Outlier mitigation with the Isolation Forest algorithm enhances the method’s reliability. Simulation results on a 33-node test system validate the approach’s effectiveness.
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