基于改进粒子群算法的DG功率因数优化模型研究

施泉生; 陆亚南; 张圣富

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DOI:10.3969/j.issn.1006-4729.2017.03.002

上海电力大学学报:2017,33(3):216-220,228

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基于改进粒子群算法的DG功率因数优化模型研究

施泉生¹, 陆亚南², 张圣富³

(1.上海电力学院;2.国家电网泗阳具供电公司;3.国网泰安供电公司)

Research on Power Factor Optimization Model of DG Based on Improved Particle Swarm Algorithm

SHI Quansheng¹, LU Yanan², ZHANG Shengfu³

(1.School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China;2.State Grid Siyang County Power Supply Company, Suqian 223700, China;3.State Grid Tai'an Power Supply Company, Tai'an 271000, China)

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本文已被：浏览 1406次下载 509次
投稿时间：2016-03-02

中文摘要: 在配电网电源充裕的前提下，通过调节可控分布式电源的功率输出来优化配电网运行，稳定节点电压，降低线路损耗.结合PQ控制理论，通过调节分布式电源的功率因数来控制分布式电源有功功率和无功功率的输出.利用粒子群算法求解可控分布式电源的最优功率因数值，智能优化配电网运行.最后选取IEEE33节点配电系统进行算例分析，以验证该方法的有效性.

中文关键词: 分布式电源配电网粒子群功率因数优化

Abstract:In the condition of sufficient distribution network power operation of the distribution network is optimized by adjusting the power output of the controllable distributed generation,including stabling node voltage and reducing line losses.By adopting PQ control theory,the active and reactive power output of distributed generation can be controlled by adjusting the power factor of distributed generation.The optimal power factor of distributed generation is searched by particle swarm algorithm.Finally,the effectiveness is verified by the simulation results of IEEE 33-bus system with DGs.

keywords: distributed generation distribution net work particle swarm power factor optimization

文章编号：20173002 中图分类号： 文献标志码：

基金项目:上海高校人文社会科学重点研究基地"一带一路"能源电力管理与发展战略研究中心项目（WKJD15004）.

作者	单位	E-mail
施泉生	上海电力学院
陆亚南	国家电网泗阳具供电公司	1035 021464@qq.com
张圣富	国网泰安供电公司

Author Name	Affiliation	E-mail
SHI Quansheng	School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China
LU Yanan	State Grid Siyang County Power Supply Company, Suqian 223700, China	1035 021464@qq.com
ZHANG Shengfu	State Grid Tai'an Power Supply Company, Tai'an 271000, China

引用文本：
施泉生,陆亚南,张圣富.基于改进粒子群算法的DG功率因数优化模型研究[J].上海电力大学学报,2017,33(3):216-220,228.
SHI Quansheng,LU Yanan,ZHANG Shengfu.Research on Power Factor Optimization Model of DG Based on Improved Particle Swarm Algorithm[J].Journal of Shanghai University of Electric Power,2017,33(3):216-220,228.