免疫克隆算法在500kV输电线路故障识别中的应用

Application of Immune Clone Algorithm to Fault Identification of 500 kV Transmission Lines

500kV输电线路是我国广泛使用的高压输电线路,对其故障类型识别进行研究具有重要意义。针对现有的免疫克隆算法提出变异算子双重优化的思路,并将优化后的免疫克隆算法用于解决500kV输电线路的故障识别。对方法的有效性和准确性进行了仿真验证,验证结果表明能更准确、快速地识别线路故障,且有较好的可移植性,可以为其他等级的高压输电线路的故障识别提供参考。

For 500 kV high-voltage transmission lines widely used in China,research on their fault type identification is of great importance.In view of the existing immune clone algorithm,this paper introduced the idea of dual optimization of mutation operator,and applied the optimized immune clone algorithm to solve the problem of fault identification of 500 kV transmission lines.Simulation verification was completed on the validity and accuracy of the proposed approach,and verification results indicated that the proposed approach could identify line faults accurately and quickly.Furthermore,it had a good portability and could provide ideas for the solution of the problem of fault identification for other levels of high-voltage transmission lines.