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智能电网建设中分布式电源的规划
引用本文:邱晓燕,夏莉丽,李兴源.智能电网建设中分布式电源的规划[J].电网技术,2010(4).
作者姓名:邱晓燕  夏莉丽  李兴源
作者单位:智能电网四川省重点实验室(四川大学电气信息学院);
基金项目:国家教育部博士点基金项目(20070610109); 国家科技攻关计划项目(JS20080113506594)~~
摘    要:研究了智能电网建设中分布式电源的规划问题,在分布式电源单个容量、个数和位置不确定的情况下,建立了多目标优化模型,并将多目标函数归一化,采用改进自适应遗传算法优化分布式电源的位置和容量,得到分布式电源接入后的最优规划方案。通过算例分析,验证了该方法的正确性和有效性。

关 键 词:智能电网  分布式发电  选址和定容  多目标优化  自适应遗传算法  

Planning of Distributed Generation in Construction of Smart Grid
QIU Xiao-yan,XIA Li-li,LI Xing-yuan ,Chengdu ,Sichuan Province,China.Planning of Distributed Generation in Construction of Smart Grid[J].Power System Technology,2010(4).
Authors:QIU Xiao-yan  XIA Li-li  LI Xing-yuan  Chengdu  Sichuan Province  China
Affiliation:QIU Xiao-yan,XIA Li-li,LI Xing-yuan (Intelligent Electric Power Grid Key Laboratory of Sichuan Province (School of Electrical Engineering and Information,Sichuan University),Chengdu 610065,Sichuan Province,China)
Abstract:The planning of distributed generation (DG) in the construction of smart grid is researched. Under the condition that the capacity of each several DG,number of DGs and their positions are uncertain,a multi-objective optimization model is built and the multi-objective function is normalized; using improved adaptive genetic algorithm the capacities and positions of DGs are optimized to attain the optimal planning scheme while the DGs are connected with the grid. Results of calculation examples show that the p...
Keywords:smart grid  distribution generation (DG)  site selection and determination of capacity  multi-objective optimization  adaptive genetic algorithm  
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