| 摘要: |
| 基于线性回归的谐波源责任划分方法大多数是在电压和电流瞬时值的基础上完成的，与目前电能质量日常监测系统主要提供电压、电流有效值等统计值的现状不符。针对这种现状，提出了一种基于母线处短路容量以及可测量的电压和电流参数的可用于工程上近似估算多谐波责任划分的方法。该方法基于电能质量测试设备，获得关注PCC处的电压和各谐波源用户及系统侧对应的馈线电流数据。通过傅里叶分解分别得到PCC处进出线的基波、谐波电压，通过各谐波源单独作用时在PCC处电压上的投影作为谐波责任划分的依据。同时将该方法应用于电能质量监测分析系统的研发，实现了PQDIF格式转换功能以及谐波源辨识功能。 |
| 关键词: 谐波责任划分 谐波源辨识 电能质量监测分析系统 PQDIF格式转换 工程应用 |
| DOI：DOI: 10.19783/j.cnki.pspc.201146 |
| 投稿时间：2020-09-17修订日期：2021-01-28 |
| 基金项目:山东省科技厅科研项目资助“接纳高比例可再生能源发电的高阶鲁棒调度理论研究”(ZR2018MEE041) |
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| Engineering application of harmonic source responsibility division technology |
| WANG Zhaoyu1,2,SUI Huibin1 |
| (1. School of Electrical Engineering, Shandong University, Jinan 250061, China;
2. China Railway Electrification Engineering Group Co., Ltd., Beijing 100036, China) |
| Abstract: |
| Most linear regression based harmonic source responsibility division methods are based on the instantaneous values of voltage and current. This is inconsistent with the situation that the power quality daily monitoring system mainly provides statistical values such as voltage and current RMS. In view of this, this paper proposes a method that can be used to estimate multi-harmonic division of responsibilities on the engineering and is based on the short-circuit capacity at the busbar and the measurable voltage and current parameters. In this method, the voltage value at the PCC and the feeder current data of each harmonic producer on the system side will be measured from power quality test equipment. These data will be Fourier decomposed into the fundamental and harmonic voltage in PCC incoming and outgoing. The projection of the voltage on the PCC when each harmonic source acts alone is used as the basis for the division of harmonic responsibility. This paper also applies this method to the research and development of power quality monitoring and analysis system and realizes PQDIF format conversion and harmonic source identification.
This work is supported by the Science Research Project of Shandong Science and Technology Department: Research on High-order Robustness Dispatch Theory Accommodating High-proportion Renewable Energy Generation (No. ZR2018MEE041). |
| Key words: division of harmonic responsibility harmonic source identification power quality monitoring and analysis system PQDIF format conversion engineering application |
