自适应免疫遗传算法及其在区域电力系统最优备用容量计算中的应用

Adaptive immune genetic algorithm based method for optimal reserve calculation of regional power system

充分利用区域互联电力系统在紧急情况下可以互相支援互为备用的特点,建立了区域电力系统的最优备用容量数学模型,该模型采用基于最小发电成本函数和最小网损函数组成的归一化最小综合经济成本作为目标函数。针对问题的具体特点,运用自适应免疫遗传算法求解最优备用容量,利用图论中的最大支撑树概念,采用自动产生可行解的编码策略对染色体进行编码,以及交叉、变异概率的自适应选取,在IEEE30节点测试系统上的仿真结果验证了所提模型的合理性、所提方法的可行性。

To take full advantage of the characteristic of the regional interconnection power systems which support and supply reserve for each other under emergencies. A novel model called optimal reserve capacity （ORC） model is presented in the paper. The optimal reserve capacity model consists of minimum generation costs function and minimum grids losses function to minimize the integration economical cost. According to the complex characteristics of the problem, the adaptive immune genetic algorithms is used to calculate the optimal reserve capacity, which introduces the maximal supporting tree idea from the plot theory. A novel chromosome coding strategy is proposed tO produce automatic feasible keys. This algorithm based on adaptive crossover and mutation probabilities are adopted. The reasonability of the proposed model and the feasibility of the proposed method have been validated on the IEEE 30 Buses rectified test system. This paper is supported by National Natural Science Foundation of Guangxi Province（No.0640028）.