计及风力发电的配电网动态无功优化研究
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引用本文:薛培?覮,黄卫华,陈方俊.计及风力发电的配电网动态无功优化研究[J].计算技术与自动化,2020,(1):61-65
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薛培?覮,黄卫华,陈方俊 (中国广核新能源控股有限公司安徽 合肥230000) 
中文摘要:风力发电的随机性增加了配电网无功优化的困难程度,在对风力发电随机特征进行分析的基础上,以配电网总有功损耗最小为目标,建立了计及风力发电影响的配电网动态无功优化数学模型,并将改进后的退火蚁群算法应用于该优化模型的求解。建立IEEE33节点配电网系统仿真计算实例,通过与其它优化模型及方法的对比分析验证了本动态优化模型及蚁群求解方法的有效性和优越性。本研究成果可为风力发电在配电网的接入及其无功优化提供有效的技术指导和参考。
中文关键词:配电网  无功优化  风力发电  退火蚁群算法
 
Research on Dynamic Reactive Power Optimization of Distribution Network Considering Wind Power Generation
Abstract:The randomness of wind power generation increases the difficulty of reactive power optimization in distribution network,based on the analysis of the random characteristics of wind power generation,aiming at the minimum total active power loss of the distribution network,the dynamic reactive power optimization mathematical model of distribution network considering the influence of wind power generation is established,the improved anneal ant colony algorithm is applied to the solution of the optimization model. A simulation calculation example of IEEE33 node distribution network system is established,the effectiveness and superiority of the dynamic optimization model and ant colony solving method are verified by comparing with other optimization models and methods. The research results of this paper can provide effective technical guidance and reference for the access of wind power generation in the distribution network and its reactive power optimization.
keywords:distribution network  reactive power optimization  wind power generation  anneal ant colony algorithm
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