基于免疫遗传算法的接地网腐蚀故障诊断

Corrosion Fault Diagnosis for Grounding Grids Based on Immune Genetic Algorithm

摘要:

为了解决在接地网腐蚀故障诊断问题的研究中,接地网诊断模型复杂,故障诊断效率和精度低的问题,提出了基于改进免疫遗传算法的接地网腐蚀故障诊断方法:根据节点撕裂法将接地网分块并建立多目标优化函数来减少约束条件,再采用改进的免疫遗传算法对诊断模型进行求解,对选取算例的仿真实验结果表明:该方法能快速收敛于模型优化函数最优解,且得到的支路诊断结果与实际状态一致的达90%,能够准确有效地诊断出接地网各处的腐蚀程度,具有一定的工程应用价值。

Abstract:

In study of corrosion diagnosis on grounding grids, the diagnosis model is complex and the efficiency and the precision of diagnosis is low. To solve these defects, the improved fault diagnosis method is mentioned based on immune genetic algorithm. The grounding grids are torn up into some blocks based on node tearing method, then the blocking multi-objective optimization model is established and the constraint condition is reduced. The diagnosis model is solved by the improved fault diagnosis method. The result of the test is proved that the mentioned method could converge to the optimal solution in the model’s optimized function. the consistency of The branch diagnosis and the actual results is as high as 90%. It could find fault location quickly and accurately, and it enjoys the engineering application value.