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为了对接地网的导体腐蚀情况进行准确判断,建立了接地网腐蚀诊断的数学模型,基于连续性遗传算法编写了接地网腐蚀诊断程序,构建了适应度评价函数F,并利用多层减维技术对算法进行了优化。以重庆某110 k V实际接地网(41个节点、61条支路)为例仿真对比了优化前后的诊断效果。结果表明:优化前,诊断程序对真实故障支路的定位困难,出现漏诊、误诊的支路较多;利用多层减维技术进行优化后,不仅解决接地网腐蚀故障诊断中支路变量维数多、算法后期收敛速度慢的问题,使诊断程序能够准确地定位腐蚀支路,而且对腐蚀支路腐蚀程度的判断有相当高的精度,最大的诊断偏差也不超过10%,程序的单次运行时间约为15 min。对实际工程来说,程序的诊断效果和运行时间均满足要求。
In order to accurately judge the conductor corrosion of the grounding grid, a mathematical model of the grounding network corrosion diagnosis is established. Based on the continuous genetic algorithm, a grounding network corrosion diagnosis program is compiled, a fitness evaluation function F is constructed, and a multi-layer dimensionality reduction technique The algorithm is optimized. Taking a 110 kV actual ground network in Chongqing (41 nodes, 61 branches) as an example, the diagnostic results before and after optimization were compared. The results show that before the optimization, the diagnostic program has difficulty in locating the real faulty branches, and there are many branches of missed diagnosis and misdiagnosis. After the multi-layer dimensionality reduction technology is optimized, not only the dimension of branch variables in the fault diagnosis of the grounding grid And the problem of slow convergence in the later stage of the algorithm enables the diagnostic program to accurately locate the corrosion branch. Moreover, the determination of the corrosion degree of the corrosion branch has a very high accuracy and the maximum diagnostic deviation does not exceed 10% Running time is about 15 min. For the actual project, the program’s diagnostic results and running time to meet the requirements.