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基于无相位谐波监测数据的谐振源辨识方法
引用本文:高 敏,朱明星,张华赢,丁 同,焦亚东.基于无相位谐波监测数据的谐振源辨识方法[J].电力系统保护与控制,2024,52(4):166-175.
作者姓名:高 敏  朱明星  张华赢  丁 同  焦亚东
作者单位:1.安徽大学电气工程与自动化学院,安徽 合肥 230601;2.南方电网公司新型智慧城市高品质 供电联合实验室(深圳供电局有限公司),广东 深圳 518020
基金项目:南方电网公司科技项目(090000KK52220014/ SZKJXM20220021)
摘    要:针对电网中大量谐波监测数据因缺乏相位信息难以实现电网谐振监测的技术难题,提出了一套计及主导系数、相关系数及敏感度指标的电网谐振源辨识方法。首先,基于多谐波源谐振分析模型,分析了谐振状态下谐波参数的相关特性与回归特征,提出了计及主导系数的强主导谐振状态判别方法。其次,论证了强主导谐振状态下的谐波阻抗特征及数据特征,构建了融合机理模型和谐振数据特征的电网谐振状态及谐振源辨识方法。最后,基于建模仿真和工程案例验证,在背景谐波对母线谐波电压贡献率小于20%的工况下,敏感谐振支路和敏感谐波源的耦合谐波阻抗测量偏差小于2%,所提方法能够准确辨识谐振状态及谐振源。

关 键 词:监测数据  相关性分析  敏感性分析  敏感谐振支路  敏感谐波源
收稿时间:2023/8/16 0:00:00
修稿时间:2023/10/28 0:00:00

Resonance source identification method based on phase-free harmonic monitoring data
GAO Min,ZHU Mingxing,ZHANG Huaying,DING Tong,JIAO Yadong.Resonance source identification method based on phase-free harmonic monitoring data[J].Power System Protection and Control,2024,52(4):166-175.
Authors:GAO Min  ZHU Mingxing  ZHANG Huaying  DING Tong  JIAO Yadong
Affiliation:1. School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China; 2. New Smart City High-Quality Power Supply Joint Laboratory of China Southern Power Grid (Shenzhen Power Supply Co., Ltd.), Shenzhen 518020, China
Abstract:There is a technical problem that with a large amount of harmonic monitoring data in the power grid it is difficult to realize the resonance monitoring of the power grid because of the lack of phase information. A set of grid resonance source identification methods considering dominant coefficients, correlation coefficients and sensitivity indices is proposed. First, based on a multi-harmonic source resonance analysis model, the correlation and regression characteristics of the harmonic parameters in the resonance state are analyzed, and a strong dominant resonance state identification method taking into account the dominant coefficients is proposed. Secondly, the harmonic impedance and data characteristics in the strong dominant resonance state are demonstrated, and the resonance state of the power grid and the resonance source identification method integrating the mechanism model and the resonance data characteristics are constructed. Finally, based on modeling simulation and engineering cases, it is verified that the coupled harmonic impedance measurement deviation of the sensitive resonant branch and the sensitive harmonic source is less than 2% in the condition that the background harmonic contribution to the harmonic voltage of the bus is less than 20%. The proposed method is able to accurately identify the resonance state and the resonance source.
Keywords:monitoring data  correlation analysis  sensitivity analysis  sensitive resonant branch  sensitive harmonic source
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