基于NSGA-Ⅱ算法的分布式电源优化配置  

Optimized Configuration of Distributed Generators Based on NSGA-Ⅱ Algorithm

作　　者：赵国波[1] 刘天琪[2] 王春明[1] 李群山[1] 

机构地区：[1]华中电力调度通信中心,湖北武汉430077 [2]四川大学电气信息学院,四川成都610065

出　　处：《现代电力》2012年第1期1-5,共5页Modern Electric Power

摘　　要：以合理配置分布式电源(DG)发挥其综合效益为目的,建立了以最小化分布式电源投资运行成本、最小化配电网网损和最大化静态电压稳定性为目标的配电网DG多目标优化配置模型。引入了多目标遗传算法—带精英策略的快速排序遗传算法(NSGA-Ⅱ),该算法能够协调各目标函数之间的关系,找出能使各目标函数尽量达到比较大的Pareto最优解集。在考虑不同类型DG的接入特性的基础上,采用NSGA-Ⅱ优化求解DG配置问题。算例分析表明,DG接入配电网后有利于节省配电网投资、减少配电网网损、提高静态电压稳定性。多目标优化计算结果表明,DG配置方案能够达到经济、技术、安全3个方面最优。In order to maximize the comprehensive benefit of the Distributed Generator（DG）,the multi-objective DG configuration optimization model is proposed with three aims of minimizing the investment cost and power loss,and maximizing static voltage stability.A multi-objective genetic algorithm,Nondominated Sorting Genetic Algorithm（NSGA-Ⅱ） with elitist strategy is introduced,which can coordinate the relationship of all sub-objectives and find out the Pareto optimized solution.Based on the consideration of the integration characteristics of different types of DG,the DG configuration problem is solved by NSGA-II algorithm.The simulation results show that DG can reduce the investment and loss of distribution network,and improve static voltage stability.At the same time,DG configuration schemes can achieve good performance on economy,technology and security during the calculating of multi-objectives.

关 键 词：配电网 分布式电源 多目标优化 NSGA-Ⅱ 优化配置 

分 类 号：TM715[电气工程—电力系统及自动化]