【摘要】 为了提高配电网故障抢修效率，通过分析浙江台州某区域的电网运行数据、历史故障数据和网架分布情况，提出一种基于馈线故障预测的配电网抢修驻点优化选址方法。首先根据馈线的故障预测等级，对目标区域内的馈线进行合理划分。然后利用人工免疫优化算法，考虑各项约束条件，依照馈线自身地理特性并结合馈线故障预测结果，得出抢修驻点的最优选址。最后通过算例分析验证了所提方法可以有效提升抢修效率，为故障发生后的快速恢复供电提供有力保障。更多还原

【Abstract】 To improve the efficiency of distribution network repair, an optimal stationing point location method for distribution network repair is proposed based on feeder fault prediction by analyzing the power grid operation data, historical fault data and grid structure distribution in a region of Taizhou, Zhejiang province. Firstly, feeders in the target area are reasonably divided based on the fault prediction level. Secondly, an artificial immune optimization algorithm is used and all the constraints are considered to conclude the optimal location based on the geographic characteristics of the feeders and the results of the feeder fault prediction. Finally, it is proved by an example that the proposed method is effective in improving repair efficiency and can provide a strong guarantee for the rapid postfault restoration of power supply.更多还原