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投稿时间：2016-03-24
投稿时间：2016-03-24
中文摘要: 以含风电和光伏的配电网为研究对象，提出了含风电和光伏的配电网多目标无功优化模型.用场景分析法对双馈异步风力发电机（DFIG）进行了场景分析，用Beta分布函数来模拟光伏出力，通过蒙特卡洛方法对配电网进行了无功补偿选址，最后通过细菌菌落优化算法对IEEE33节点配电系统进行了算例分析，验证了该模型及方法的有效性.
Abstract:Distribution network with wind power and photovoltaic is studied,and the multi-objective reactive power optimization model of the distribution network is proposed.The scene analysis method is used to analyze the scene of Double Fed Induction Generator(DFIG) and the Beta distribution function is used to simulate the PV output,the location of reactive power compensation device for distribution network is determined by Monte Carlo simulation.Finally,the IEEE 33 node system is used as a case by the bacterial colony optimization algorithm,verifying the validity of the model and method.
keywords: multi-objective reactive power optimization distributed generation bacterial colony optimization algorithm Monte Carlo simulation
文章编号：201600607 中图分类号： 文献标志码：
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引用文本：
黄沂平,马雷鹏,张永超,等.基于细菌菌落算法的含分布式电源多目标无功优化[J].上海电力大学学报,2016,32(6):538-542,556.
HUANG Yiping,MA Leipeng,ZHANG Yongchao,et al.Multi-objective Reactive Power Optimization with Distributed Generation Based on Bacterial Colony Optimization Algorithm[J].Journal of Shanghai University of Electric Power,2016,32(6):538-542,556.
黄沂平,马雷鹏,张永超,等.基于细菌菌落算法的含分布式电源多目标无功优化[J].上海电力大学学报,2016,32(6):538-542,556.
HUANG Yiping,MA Leipeng,ZHANG Yongchao,et al.Multi-objective Reactive Power Optimization with Distributed Generation Based on Bacterial Colony Optimization Algorithm[J].Journal of Shanghai University of Electric Power,2016,32(6):538-542,556.