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文章摘要
基于正交匹配追踪算法的谐波源定位方法
Harmonic source localization method based on orthogonal matching pursuit algorithm
Received:May 19, 2019  Revised:May 19, 2019
DOI:10.19753/j.issn1001-1390.2021.04.007
中文关键词: 谐波源定位  压缩感知  正交匹配追踪算法  谐波状态估计
英文关键词: harmonic source location  compressive sensing  orthogonal matching pursuit algorithm  harmonic state estimation
基金项目:
Author NameAffiliationE-mail
Zhang Xu* State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,North China Electric Power University 1412071395@qq.com 
Xu Yonghai State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,North China Electric Power University yonghaixu@263.net 
Qin Benshuang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,North China Electric Power University 417570972@qq.com 
Liu Ziteng State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,North China Electric Power University t627123563@163.com 
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中文摘要:
      为了在系统非全局可观时,仍能对节点注入谐波电流进行估算,对电网中的谐波源进行有效定位,文章提出了一种基于正交匹配追踪算法的谐波源定位方法。提出方法根据已知量测量和量测矩阵,基于压缩感知理论中的正交匹配追踪算法对欠定的系统谐波状态方程进行求解,估算了节点注入谐波电流,实现了系统非全局可观时对电网的谐波源有效定位。通过与其他方法的仿真对比分析,验证了在改变谐波源数目和位置以及考虑测量误差时,提出方法具有更好的定位效果,说明了提出方法具有较高的适用性和抗干扰能力。
英文摘要:
      In order to estimate the harmonic current injected into the nodes and locate the harmonic source effectively when the system is not globally observable, a harmonic source location method based on orthogonal matching pursuit algorithm is proposed in this paper. Based on the known measurements and measurement matrices and the orthogonal matching pursuit algorithm in the compressed sensing theory, the undetermined system harmonic state equation is solved, and the harmonic current injected into the nodes is estimated, so that the harmonic source can be effectively located when the system is not globally observable. Through simulation and comparison with other methods, it is verified that the proposed method has better positioning effect when changing the number and position of harmonic sources and considering measurement errors. It shows that the proposed method has higher applicability and anti-interference ability.
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