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Research on Fault Location in Integrated Energy Systems Based on Improved Binary Particle Swarm Optimization Algorithm
Power Generation Technology Vol. 46, Issue 2, Pages: 231-239(2025)
Modeling\, Simulation and Optimal Operation of Integrated Energy System Based on Swarm Intelligence|Updated:2026-06-29
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Research on Fault Location in Integrated Energy Systems Based on Improved Binary Particle Swarm Optimization Algorithm
- “A fault location method for distribution networks based on improved binary particle swarm optimization algorithm is introduced, and its research progress in the field of smart grids is introduced. The research team has established a binary particle swarm algorithm system with dual adaptive characteristics, providing a solution to the problem of decreased accuracy in complex distribution network fault location.”
DOI:10.12096/j.2096-4528.pgt.24242
Revised:2025-02-16
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Related Author
SHI Pengfei
HOU Shixi
LÜ Zhan
CHU Yundi
DING Zekai
LIN Zhengyu
ZHENG Jiehui
WANG Chen
Related Institution
State Grid Jiangsu Nanjing Electric Power Supply Company
College of Artificial Intelligence and Automation, Hohai University
Power Dispatching Control Center, Guangdong Power Grid Co., Ltd.
School of Electric Power, South China University of Technology
Electric Power Research Institute, State Grid Jiangxi Electric Power Co., Ltd.

