| 引用本文: | 张逸,郭俊煜,邵振国.考虑谐波严重程度的长时间尺度谐波责任划分方法[J].电力自动化设备,2024,44(1):126-133. |
| ZHANG Yi,GUO Junyu,SHAO Zhenguo.Long-time scale harmonic responsibility division method considering harmonic severity[J].Electric Power Automation Equipment,2024,44(1):126-133. |
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| 摘要: |
| 针对现有谐波责任划分方法未考虑不同谐波严重程度下责任所造成的实际影响差异，提出一种考虑谐波严重程度的长时间尺度谐波责任划分方法。考虑谐波数值分布与变化趋势两方面因素划分工况，并计算各工况综合权重量化谐波严重程度；基于典型相关性分析原理筛选长时间尺度数据，并根据谐波责任定义式估算谐波责任；结合上述综合权重获取长时间尺度综合谐波责任划分指标；采用仿真算例与实测数据进行验证，与传统方法相比，所提方法可反映各谐波源在长时间尺度下不同次数谐波造成的累计影响，更适用于谐波精准治理与公平奖惩工作。 |
| 关键词: 谐波责任划分 谐波严重程度 长时间尺度 谐波变化趋势 工况划分 |
| DOI：10.16081/j.epae.202303043 |
| 分类号:TM71 |
| 基金项目:国家自然科学基金资助项目(51777035) |
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| Long-time scale harmonic responsibility division method considering harmonic severity |
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ZHANG Yi, GUO Junyu, SHAO Zhenguo
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College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
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| Abstract: |
| In view of the existing harmonic responsibility division methods do not consider the actual impact difference caused by different harmonic severity, a long-time scale harmonic responsibility division method considering the harmonic severity is proposed. The harmonic value distribution and trend are considered to divide the working conditions, and the comprehensive weight of each working condition is calculated to quantify the harmonic severity. The long-time scale data are screened based on the principle of canonical correlation analysis, and the harmonic responsibility is estimated according to the definition of harmonic responsibility. The long-time scale comprehensive harmonic responsibility division index is obtained by combining the above comprehensive weights. Simulation examples and measured data are used to verify the proposed method. Compared with the traditional method, the proposed method can reflect the cumulative influence of different harmonic sources in a long-time scale, and is more suitable for accurate harmonic control and fair reward and punishment. |
| Key words: harmonic responsibility division harmonic severity long-time scale harmonic trend working condition division |
