ELECTRICA
Original Articles

Active Distribution Network Fault Location Based on Petri Nets and Improved Particle Swarm Optimization Algorithm

1.

Hainan Power Grid Co., Ltd., Transmission Maintenance Branch, Hainan, Haikou, China

ELECTRICA 2024; 24: 789-798
DOI: 10.5152/electrica.2024.24047
Read: 157 Downloads: 74 Published: 08 November 2024

Abstract
To address issues such as inadequate fault tolerance, long computation time, and limited universality in fault location for active distribution networks, this paper proposes a fault location method that combines Petri nets with an improved particle swarm optimization (PSO) algorithm. This method enhances the efficiency of fault location in distribution networks with distributed power sources, demonstrating good applicability and convergence, especially in complex network scenarios. The results from two test functions and simulation analyses of two types of node distribution networks show that (1) in the single-point fault simulation, the improved algorithm successfully located the fault in the ninth iteration, outperforming the 14th iteration result of the standard PSO algorithm. (2) In networks with randomly interconnected distributed power sources, the algorithm accurately located both single and multiple faults. (3) Experimental verification further supports the simulation results, proving the effectiveness of this method in practical applications.

Cite this article as: Y. Xia, J. Yang, J. Chen, Y. Lai and S. Ye, "Active distribution network fault location based on petri nets and improved particle swarm optimization algorithm," Electrica, 24(3), 789-798, 2024.

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EISSN 2619-9831