journal article·2023-07-23Open access

Novel Faulted-Section Location Method for Active Distribution Networks of New-Type Power Systems

Ye Sun, Qing Chen, Dan Xie, Ning Shao, Wei Ding, Yuzhan Dong

Applied Sciences· Volume 13· Issue 14

Abstract

This paper puts forward a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information in view of the limitation of existing fault location methods in active distribution networks, such as long-time consumption, low accuracy, and low tolerance performance. Firstly, the fault region location method is proposed to simplify the active distribution network model and reduce the matrix calculation dimension. Secondly, the improved matrix algorithm is proposed to locate the fault section, and a positioning result verification method is proposed to improve the tolerance performance. Finally, the genetic tabu algorithm is proposed to optimize suspicious fault sections when the verification is incorrect and obtain the positioning result. The simulation results show that the fault location method proposed in this paper locates faster and performs better in both accuracy and tolerance in different fault conditions than others.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Islanding Detection in Power Systems · Power Systems Fault Detection · Microgrid Control and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China

Funding

National Natural Science Foundation of China

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