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

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.

Automated summary

This paper proposes a fault location method combining the improved matrix algorithm and the genetic tabu algorithm based on multi-source information to address the limitations of existing fault location methods in active distribution networks, such as time consumption, accuracy, and tolerance performance. The method includes a fault region location method to simplify the network model, an improved matrix algorithm to locate the fault section, and a genetic tabu algorithm to optimize the positioning result. Simulation results show that the proposed method achieves faster fault location and better accuracy and tolerance performance.