| 引用本文: | 张林利,刘洋,李立生,苏建军,谭培红.基于主元子空间的主动配电网量测设备关键配置位置识别[J].电力自动化设备,2017,37(11): |
| ZHANG Linli,LIU Yang,LI Lisheng,SU Jianjun,TAN Peihong.Key configuration location identification of measurement equipment in active distribution network based on principal component subspace[J].Electric Power Automation Equipment,2017,37(11): |
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| 摘要: |
| 为了进一步优化主动配电网中量测设备的配置，提出了基于主元子空间的量测设备关键配置位置识别方法。该方法不需要关于系统的完备先验知识。利用主元分析方法将量测数据映射到主元子空间中，利用主元的累计方差贡献率选取样本主元；在量测变量重构的基础上，计算量测变量对Hotelling T2统计量的重构贡献率；定义了节点重构贡献率和节点相对贡献率，并将相对贡献率应用到关键配置位置识别中。IEEE 69节点系统的仿真结果表明了所提方法的有效性。 |
| 关键词: 主动配电网 关键位置识别 重构贡献率 量测配置 主元子空间 主元分析方法 |
| DOI：10.16081/j.issn.1006-6047.2017.11.009 |
| 分类号:TM761 |
| 基金项目:国网山东省电力公司科技项目(SGSDDK00SPSPJS-1600225) |
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| Key configuration location identification of measurement equipment in active distribution network based on principal component subspace |
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ZHANG Linli1, LIU Yang2, LI Lisheng1, SU Jianjun1, TAN Peihong2
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1.State Grid Shandong Electric Power Research Institute, Ji’nan 250003, China;2.College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, China
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| Abstract: |
| In order to further optimize the configuration of measurement equipment in active distribution network, an identification method of key configuration locations of measurement equipment based on principal component subspace is proposed. The method can be applied without complete prior knowledge. The measured data are mapped to principal component subspace by principle component analysis method and the principal components of samples are selected based on the accumulated variance contribution rate of principal components. The reconstruction contribution degree of measurement variables to Hotelling T2 statistics is calculated based on the reconstruction of measurement variables. The reconstruction contribution degree of node and relative contribution degree of node are defined and the relative contribution degree is applied to identify the key configuration locations. Simulative results of IEEE 69-bus system verify the effectiveness of the proposed method. |
| Key words: active distribution network key location identification reconstruction contribution degree meter placement principal component subspace principle component analysis method |
