基于遗传拓扑混合算法的配电网多故障抢修策略

A Multi-fault Rush Repair Strategy for Distribution Network Based on Genetic-topology Algorithm

从中国配电网的实际情况出发,建立了电力系统在多故障情况下的多目标抢修策略优化模型。针对配电网接线呈辐射状的特点,提出了一种遗传拓扑混合算法作为寻优策略。该算法通过遗传算法寻优,通过拓扑分析算法判断出失电区域、待修复设备以及负荷情况,综合进行适应度评价,反复迭代得到最佳抢修方案。在寻优计算过程中,针对遗传算法在复杂配电网计算中易产生大量不可行解的问题,引入了智能选择的混合交叉因子进行改进。算例结果证明了该混合智能算法的有效性和鲁棒性。

Proceeding from the actual conditions of distribution networks in China, a multi-fault rush repair optimization model for the power system is developed and a genetic-topology algorithm is put forward for the radiating configuration characteristic of the distribution network. With this approach, optimization is achieved through the genetic algorithm and the topology analytic algorithm is used to determine the outage area, the equipments waiting to be repaired and the characteristic of the lost load for an overall evaluation of their adaptability. This paper also proposes an intelligent mixed-cross strategy in the genetic process to prevent the occurrence of numerous infeasible solutions. A case study verifies the effectiveness and robustness of the algorithm proposed. This work is supported by National Natural Science Foundation of China （No. 50577022）.