基于合作型协同进化遗传算法分布式发电供电恢复

Service Restoration of Distributed Generation Based on Co-evolutionary Genetic Algorithm

分布式电源的配电系统,在发生大面积断电时,要求最快、最多的恢复失电负荷的供电。引进了合作型协同进化遗传算法来实现分布式发电条件下的供电恢复,建立了供电恢复问题的协同进化模型。采用随机生成树对染色体进行编码,完全避免了不可行解。采用高频变异的方式对染色体进行变异操作。在寻优过程中子种群间相互交换信息,使得算法尽快收敛。算例表明了协同进化遗传算法的高效性及快速性。

In terms of the distribution system with distributed generators, the model based on co - evolutionary genetic algo- rithm is proposed to solve the service restoration problem in the event of a large - scale blackout in power distribution network with distributed generation. The chromosomes are coded according to the method of the random trees to avoid lots of unfeasible solutions. The high - frequency method is introduced as the mutation operation of chromosomes. In the process of searching for the best solution, the objective is changed dynamically in order to get the best solution as quickly as possible. At last, the cal- culation example shows the efficiency and the quickness of the co - evolutionary genetic algorithm.