Based on the characteristics of multi-fault occurrences in distribution networks, a multi-objective optimization model is developed. This model combines rush repair and service restoration. A multi-team cooperative repair strategy is proposed for this model. The switch control variables are taken as virtual fault location, and combined with the rush repair control variables for this strategy. Interval homing scheme is introduced in the multi-objective bacterial colony chemotaxis (BCC) algorithm to improve its discrete domain problem solving capability; at the same time, a partial update mechanism is introduced to speed up its convergence. The information of the load nodes is judged by network topology search and then the fitness value can be calculated. The test results show that the improved method can significantly improve the performance of the multi-objective BCC algorithm, and the solution set of optimum repair and service restoration can be obtained effectively.%根据配电网的实际情况,建立了配电网突发多处故障情况下的故障抢修和故障恢复相结合的多目标优化模型,将模型中的开关操作变量作为虚拟故障点处理并与抢修控制变量有机结合,考虑了一种多队协同抢修的恢复策略.在多目标细菌群体趋药性(BCC)算法的基础上引入区间归位方案,改善了多目标BCC算法解决离散域问题的性能,同时引入局部更新机制加快算法收敛,通过网络拓扑搜索判断负荷节点信息并计算适应值.算例分析表明,所述方法可以显著提高算法性能,快速有效地得到抢修和恢复策略解集.
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