中文摘要：

为了更好地提高接地网腐蚀的诊断结果精度与速度，以探索接地网在具容差情况下的故障诊断途径为核心，在此基础上结合电网络理论和矩阵理论构建了新的接地网故障诊断方程。提出了双中心粒子群算法，在充分利用粒子群算法的快速收敛性和全局寻优能力的同时，也改善了个体极值的更新方式以及全局极值的质量．并增强了种群平均解的质量，从而使得诊断结果有了明显的改善。对110kv蒲城变电站接地网的仿真结果验证了该方法的准确性与有效性。

英文摘要：

In order to improve the corrosion diagnosis accuracy and speed of grounding network, with the grounding network tault diagnosis approach under tolerance case as the core,on the basis of combining the theory of electric network and matrix theory, a new grounding network fault diagnosis equation is constructed. Double center particle swarm optimization （PSO） algorithm is put forward by making full use of the fast convergence of particle swarm algorithm and global optimization ability. On the basis of improving the way of updating the individual extreme, the quality of the global extreme value is improved and the quality of the population average is enhanced so as to improve the accuracy of the diagnosis. The simulation results of llOkV Pucheng Power Substation ground network verify the effectiveness and accuracy of the method.