基于改进非支配排序遗传算法的含DG配电网优化配置

Optimal allocation of distribution network containing distributed generation based on improved NSGA-Ⅱ

分布式电源的接入对配电网中潮流分布、有功损耗和电压分布有很大影响。针对含DG配电网运行优化问题,建立了以DG最大出力、有功网损最小及电压偏差最小的多目标优化模型,提出一种改进的非支配排序遗传算法求解分布式电源的最优化有功出力。在NSGA-Ⅱ算法基础上改进了非支配排序策略、选择截断策略,采用改进的NSGA-II算法求解含DG配电网优化控制问题。通过IEEE33节点算例分析,结果表明该模型可以在分布式电源最大出力、有功网损最小及电压偏差最小方面,较为全面地实现配电网分布式电源的优化控制。

Connection of distributed generation （DG） to grid has great influence on flow distribution, power loss and voltage distribution. For optimization of distribution network, a multi-objective optimization model has been established. The model contains three purposes ,the maximum output of DG,the minimum active power loss and the smallest of voltage deviation. A non-dominated sorting genetic algorithm Ⅱ （NSGA- Ⅱ ）, which improves strategy of non-dominated sorting and truncation selecting of the classical algorithm NSGA- Ⅱ, is proposed to solve active power optimization of distributed generation. Taking IEEE 33 node system as an example, the results show that the model can achieve optimal control in distribution network with DG.