| 基于细菌菌落算法的含分布式电源多目标无功优化 |
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| 引用本文： | 黄沂平,马雷鹏,张永超,叶莘.基于细菌菌落算法的含分布式电源多目标无功优化[J].上海电力学院学报,2016,32(6):538-542,556. |
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| 作者姓名： | 黄沂平 马雷鹏 张永超 叶莘 |
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| 作者单位： | 福建长乐市供电有限公司,上海电力学院 |
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| 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.
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| 关 键 词： | 多目标无功优化 分布式电源 细菌菌落算法 蒙特卡洛法 |
| 收稿时间： | 2016/3/24 0:00:00 |
Multi-objective Reactive Power Optimization with Distributed Generation Based on Bacterial Colony Optimization Algorithm |
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| HUANG Yiping,MA Leipeng,ZHANG Yongchao and YE Shen.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. |
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| Authors: | HUANG Yiping MA Leipeng ZHANG Yongchao and YE Shen |
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| Affiliation: | Changle Power Supply Corporation, Changle 350200, China,Shanghai University of Electric Power, Shanghai 200090, China,Shanghai University of Electric Power, Shanghai 200090, China and Shanghai University of Electric Power, Shanghai 200090, China |
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| Abstract: | In this paper, the 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 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,we used the IEEE-33 node system as a case by the bacterial colony optimization algorithm,verifying the validity of the model and method. |
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| Keywords: | the multi-objective reactive power optimization DG the bacterial colony optimization algorithm Monte Carlo simulation |
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