基于聚类的阶段理论线损快速计算与分析

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摘要针对自动采集数据缺失及单一断面网损无法刻画电网长期运行的情况,在仅考虑节点注入功率与网络参数变化的基础上,提出一种基于断面聚类的阶段理论线损快速计算与分析方法.本文首先对断面网损的构成进行了分析;其次针对断面数据采集情况提取断面特征向量,并且在数据采集不完整时,提出一种基于粗糙集理论的核特征向量求取方法;通过量化节点注入功率与网络参数单位变化引起的网损增量计算出与特征向量匹配的聚类中心断面的权系数向量;最后利用改进的最近邻聚类对断面进行聚类分析,快速得出任意时刻理论线损值和阶段理论线损值.Matlab仿真结果验证了此方法的有效性.

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	李学平
	刘怡然
	卢志刚
	鲍锋

关键词 ：最近邻聚类, 阶段理论线损, 特征向量, 相似度

Abstract：Automatic acquisition may fail to collect data; what’s more, single section network loss can not depict loss of power grid during a period. In view of the above facts, a method based on clustering theory for phase theoretical line loss calculation and analysis is proposed,which only takes node power injection and parameter variation into account. Firstly, the composition of section network loss is analyzed. Secondly, on the basis of section data, feature vector is extracted. A nuclear feature vector calculation method based on rough set theory is used to deal with the situation of failure acquisition. Weight vector of the clustering center section is calculated to match the feature vector through quantizing the network loss increment caused by node power injection and network parameters variation. Finally, the nearest neighbor clustering is improved to analyse and to obtain the theoretical line loss of any section and any period. The Matlab simulation results demonstrate the effectiveness of the proposed method.

Key words： Nearest neighbor clustering phase theoretical line loss feature vector similarity measure

收稿日期: 2013-09-11 出版日期: 2015-09-14

PACS:

TM744

基金资助:国家自然科学基金(61473246),河北省自然科学基金(E2015203294),中国博士后科学基金(2014M551049)资助项目

作者简介: 李学平男,1976年生,博士,讲师,研究方向为电力系统经济运行与分析.刘怡然女,1986年生,硕士研究生,研究方向为电力系统线损计算与分析.

引用本文:

李学平,刘怡然,卢志刚,鲍锋. 基于聚类的阶段理论线损快速计算与分析[J]. 电工技术学报, 2015, 30(12): 367-376. Li Xueping,Liu Yiran,Lu Zhigang,Bao Feng. Phase Theoretical Line Loss Calculation and Analysis Based on Clustering Theory. Transactions of China Electrotechnical Society, 2015, 30(12): 367-376.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2015/V30/I12/367

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