基于多智能体免疫算法的配电网供电恢复

Application of multi-agent immune algorithm for distribution service restoration

当配电系统发生大面积断电时,要求最快、最多的恢复失电负荷的供电。引进了多智能体免疫算法来实现配电网的供电恢复,建立了供电恢复问题的多智能体免疫模型。采用随机生成树对抗体进行编码,避免了大量不可行解。采用高频变异的方式对抗体进行变异操作。在寻优过程中动态的改变抗原,使得算法尽快收敛。算例表明了多智能体免疫算法的高效性及快速性。

In terms of the distribution system, the model based on multi - agent immune algorithm was proposed to .solve the service restoratiou problem in the event of a large-scale blackout. Antibodies were coded according to the method of the random trees to avoid lots of unfeasible solutions. High- Frequency method was introduced as the mutation operation of antibodies. In the process of searching for the best solution, antigens were changed dynamically in order to get the best solution as quickly as possible. At last, the calculation example shows that the efficiency and quickness of the multi - agent immune algorithm.