摘要
传统基于谐波阻抗的谐波贡献评估方法对测量精度依赖性高,测量误差会导致评估结果失准,进而影响谐波责任划分及其治理措施的有效性。分析测量误差对谐波贡献评估的影响机理,基于含噪声的盲源分离原理,提出了一种考虑测量误差的谐波贡献评估模型;研究了基于改进复数非高斯最大化算法(complex maximization of non-Gassianity,CMN)的谐波贡献评估算法,通过对测量数据预处理以消除测量误差的影响,用传统CMN估计谐波源和阻抗矩阵,得到了谐波源对观测点的谐波矢量和标量贡献。通过仿真和实测数据验证,并与现有方法比较,结果表明所提方法能有效抑制测量误差的影响,提高评估结果的准确性,可为谐波治理提供参考依据。
Conventional methods based on harmonic impedance for harmonic contribution assessment highly depend on measurement accuracy. Measurement error will reduce accuracy of assessment results and influence effectiveness of harmonic responsibility sharing and mitigating. By analyzing influence mechanism of measurement error on harmonic contribution, based on noisy complex blind source separation（NCBSS）, this paper presents an assessment model of harmonic contribution considering measurement error and studies assessment algorithm based on improved complex maximization of non-Gaussianity（CMN）. The improved algorithm eliminates measurement error influence by preprocessing measurement data and then harmonic source and impedance matrix are assessed with conventional CMN. Contributions of harmonic sources to harmonic vector and scalar at observing point then can be assessed. The proposed method is validated with simulation and measurement data and compared with current methods. Assessment results prove that the proposed method can suppress influence of measurement error, improve accuracy of harmonic contribution assessment and provide reference for harmonic mitigation.
出处
《电网技术》
EI
CSCD
北大核心
2016年第12期3865-3870,共6页
Power System Technology
基金
国家电网公司科技项目(SGRI-DL-71-15-006)~~
关键词
测量误差
谐波贡献
含噪声复数盲源分离
改进复数非高斯最大化算法
measurement error
harmonic contribution
noisy complex blind source separation
improved complex maximization of non-Gaussianity
