Affiliation:
1. School of Artificial Intelligence and Manufacturing Hechi University Yizhou China
2. State Grid Dandong Electric Power Supply Company Dandong Liaoning China
3. College of Information Science and Engineering Northeastern University Shenyang Liaoning China
Abstract
AbstractIn recent years, the frequent occurrence of natural disasters has seriously threatened the security and stability of distribution networks. Amidst these natural disasters, researchers have increasingly focused on ensuring fault recovery in distribution networks. Soft open points (SOPs) are new types of power electronic devices that can effectively recover faults in distribution networks. When a fault occurs, SOPs can quickly block and isolate fault short‐circuit current, provide power access to non‐fault areas, and optimise the power flow of distribution networks. Based on the critical role of distributed generation (DG) power supply in fault recovery, this study proposes a method that leverages the synergistic capabilities of SOPs and DG to recover faults in distribution networks. By employing a binary particle swarm optimisation algorithm, this method effectively improves load recovery, reduces the number of switching operations, and minimises network loss. The proposed method was simulated and verified using the IEEE 33‐node and 99‐node systems.
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)