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文章摘要
基于配电网先验信息的谐波状态估计量测点最优配置
Priori Knowledge-Based Optimal Measuring Device Placement for Harmonic State Estimation in Power Distribution Network
Received:April 21, 2014  Revised:April 21, 2014
DOI:
中文关键词: 谐波状态估计  独立分量分析  量测点最优配置  配网先验知识
英文关键词: harmonic state estimation  independent component analysis  optimal measuring device placement  priori knowledge in power distribution network
基金项目:
Author NameAffiliationE-mail
HAN Fei* School of Electrical Engineering and Information,Sichuan University hanfei_1211@163.com 
Yang Honggeng Sichuan University  
Wang Jiaxing Sichuan University  
Wang Ze Sichuan University  
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中文摘要:
      针对现有量测配置算法所需量测点数量多于谐波源节点数量的问题,提出利用ICA和配网先验信息进行量测点优化配置。根据网络拓扑和负荷类型筛选可疑谐波源节点,并以负荷的非线性程度和负荷容量的乘积度量节点的谐波发射水平,得到大于设定阈值的节点数量。ICA只需量测量维数等于谐波电流维数,且量测点可同时提供电压和电流量测,由此得到量测点数量。再以谐波发射水平、母线电压等级的加权和为目标函数计算可疑谐波源节点的重要度,选择较高重要度的母线配置量测设备。IEEE14节点配电网和某地区实际电网的算例证明了该方法的有效性和实用性。
英文摘要:
      In allusion to the number of measurements more than that of harmonic sources in the existing optimal placement methods, a method based on independent component analysis (ICA) and priori knowledge is proposed. Suspicious buses can be selected through network topology and the types of loads. The harmonic emission levels of selected buses are calculated by the product of the nonlinear degree and the capacities of loads. The number of buses greater than a preset threshold is obtained. ICA only need the dimension of measurements just equals to that of the harmonic sources, and the measuring device can provide both the harmonic voltage and current, as a result, the number of devices in demand is obtained. The importance degree of each suspicious bus is calculated by the weighted sum of the harmonic emission level and voltage. The buses with higher importance degree are installed measuring devices. The efficiency and practicality of the proposed method has been proved by the cases of the IEEE 14-bus distribution network and a local network.
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