基于区间TOPSIS与遗传算法混合的分布式电源优化配置  

Optimal Planning of Distributed Generators Based on Combination of Interval TOPSIS Method and Genetic Algorithm

作　　者：韩亮[1] 王守相[1] 赵歌[2] 

机构地区：[1]智能电网教育部重点实验室,天津大学,天津市300072 [2]国网天津市电力公司,天津市300010

出　　处：《电力系统自动化》2013年第24期37-42,共6页Automation of Electric Power Systems

基　　金：国家重点基础研究发展计划(973计划)资助项目(2009CB219708);国家自然科学基金资助项目(51077098);国家电网公司科技项目(ZDK/GW021-2012)~~

摘　　要：针对现有的分布式电源(DG)优化配置方法在处理不确定性因素时综合决策能力不足的缺陷,提出一种计及信息不确定性的DG优化配置模型与算法。该方法在DG类型、位置和容量不确定的情况下,建立了以投资成本最少、收益最高、环境效益最高和配电网网络损耗最小为优化子目标的多目标、非线性优化模型。对于存在多种不确定性因素且其概率分布难以确知的情况,区间分析可以定量分析不确定性因素对DG优化配置的影响。最后利用文中提出的一种基于区间TOPSIS(technique for order preference by similarity to ideal solution)算法与遗传算法(GA)相结合的计算方法对此问题进行了求解,通过典型的配电网算例验证了所提方法的可行性。In view of the insufficiency of decision-making ability in the existing distributed generator（DG）optimal planning method,a model for DG optimal planning is proposed along with its algorithm with information uncertainty taken into account.Under the condition of uncertain type,location and capacity of DGs,a multi-objective and non-linear optimal model is developed with the least investment cost,the highest revenue,the highest environment benefits and the minimum loss in distribution network as the sub-objectives.For cases in which there exist many uncertainty factors,plus their hard-to-define probability distribution,interval numbers are used to deal with the uncertainty of the property values and their weights in the actual decision-making of DG optimal allocation.A method by combining the technique for order preference by similarity to ideal solution（TOPSIS）algorithm based on interval mathematics and genetic algorithm（GA）is proposed to solve the problem.The feasibility of the method proposed is shown by a typical distribution network test example.

关 键 词：分布式电源 区间TOPSIS方法 遗传算法 

分 类 号：TM73[电气工程—电力系统及自动化]