摘要
谐波源准确定位是谐波治理的关键前提,电网复杂度的增加使基于模型的谐波源定位方法不再适用;随着电能质量监测装置的广泛配置,为基于数据驱动的谐波源定位方法提供了可能。现从大数据分析的角度出发,提出基于数据分析的多谐波源定位方法。首先,利用有功功率方向法筛选出主要的谐波源支路;然后,利用最大互信息值(maximal information coefficient,MIC)作为谐波电压超标节点谐波电压与可疑支路谐波电流间相关度评价指标,设定相关度阈值,当相关度超过该阈值时判断该支路为主要谐波源支路。所提方法不需要网络拓扑,利用电能质量监测数据进行分析便可实现主谐波源定位。仿真和实测数据验证说明了所提方法的有效性和工程实用性。
Harmonic sources localization is critical for harmonic mitigation,the model-based method is invalid with the growing scale of power system.The wide installation of power quality monitor makes it possible to develop a data-driven harmonic sources localization method,a multiple harmonic sources localization method based on data analysis has been proposed.Firstly,the harmonic active power direction is utilized to the preliminary screening of the harmonic source branches.Then,the maximal information coefficient(MIC)is used to evaluate the relevance between the suspicious harmonic source branch current and the node harmonic voltage,the branch is considered to be a harmonic source branch once the maximal information coefficient exceeds a threshold.The main harmonic sources are identified by the proposed method,without the knowledge of network topology and parameters,using only the recorded data from power quality monitor.Performance and usefulness of the proposed method has been verified through the computer simulation and field case study.
作者
陈栋新
肖先勇
王昕
CHEN Dong-xin;XIAO Xian-yong;WANG Xin(State Grid Henan Electric Power Research Institute,Zhengzhou 450052,China;College of Electrical Engineering and Information Technology,Sichuan University,Chengdu 610065,China;CEIEC Shenzhen Electric Technology Inc,Shenzhen 518040,China)
出处
《科学技术与工程》
北大核心
2019年第30期191-195,共5页
Science Technology and Engineering
基金
国家自然科学基金(51807126)资助
关键词
谐波
电能质量
谐波源定位
数据分析
最大互信息
harmonic
power quality
harmonic source localization
data analysis
maximal information coefficient
