基于改进双种群遗传算法的含分布式电源配电网重构

摘要

Aiming at the nonlinear multi-objective optimization problem of distribution network reconfiguration,a distribution network reconfiguration model with different distributed generations (DG) is established with objectives such as network loss,feeder load balance and optimal voltage quality,and dual population genetic algorithm (GA) is used to search for the solutions.Decimal chromosome encodings are utilized in the GA on the basis of reconfigurable ring,and several genetic operation strategies are set to avoid the infeasible solutions,together with elite and immigrant strategies.In the meantime,the selection rate based on the concentration of vector distance is introduced,and an adaptive chaotic local search strategy is proposed to improve the ability of global optimal searching.To analyze the influence of DGs on the distribution network,IEEE 33-node and IEEE 69-node distribution systems are selected as examples in the simulation.The comparison between the proposed algorithm and the traditional GA indicates the feasibility and effectiveness of the proposed algorithm.%针对配电网重构非线性多目标优化问题,建立以配电网的网损、馈线负荷均衡及节点电压质量协调最优为目标的含分布式电源配电网重构模型,并运用双种群遗传算法对其求解.算法采用基于重构环的十进制染色体编码,设定遗传操作策略避免不可行解的产生,并采用移民策略和精英保留策略.同时引进基于矢量距浓度的选择率,提出有自适应规则的混沌局部搜索策略以提高全局寻优能力.选取IEEE33节点和IEEE69节点配电网络系统为例,仿真分析分布式电源接入对配电网的影响,并将本文算法与传统遗传算法进行比较,验证了该算法的可行性和有效性.