Fault section estimation in transmission network based on binary swarm intelligence algorithm

作者：Zang Tian Lei^*; He Zheng You; Li Chao Wen; Qian Qing Quan

来源：Power System Protection and Control, 2010, 38(14): 16-22.

• Ant colony algorithms
• Binary particle swarm optimization
• Comparative analysis
• Convergence speed
• Fault diagnosis
• Fault section estimation
• Information lost
• Multiple faults
• Optimal model
• Optimal results
• Simulation result
• Single fault
• Swarm Intelligence
• Transmission networks

In order to ensure the veracity and real-time of fault section estimation, binary particle swarm optimization algorithm (BPSO) and binary ant colony algorithm (BACA) are proposed to solve the optimal model of FSE in transmission network, then a comparative analysis is made with genetic algorithm (GA). Fault cases with different fault information such as single fault, multiple faults, non-logic action of protection and information lost are simulated. The simulation results indicate BPSO and BACA are superior to GA on the convergence speed and optimal results. Meanwhile, it verifies the merits such as veracity and fault tolerance of applying the proposed method for fault section estimation.

• 出版日期2010
• 单位西南交通大学