基于EPLS的电力系统谐波源的识别与定位

Identification and Location of Power Harmonic Source Based on Emphatic Partial Least Squares Regression Method

在电力供电优化控制的研究中,谐波是影响电能质量的重要因素,对谐波进行监测和分析具有重要的意义。为定量识别谐波源,准确估算系统谐波阻抗,提出了一种应用加强的偏最小二乘回归(EPLS)的谐波源识别算法,利用EPLS来估算系统谐波阻抗,并识别系统和用户各自所要承担的责任,达到识别谐波源定位目的;通过与二元线性回归、稳健回归以及偏最小二乘算法的比对表明,EPLS算法具有实现简单,分析精度高的优势。通过在MATLAB/SIMULINK中构建仿真模型,应用改进方法进行仿真分析,结果证明了所提方法的正确性和可行性。

Harmonic is an important factor to affect the power quality, and it has an important significance to mo- nitor and analysis of harmonic. In order to identify harmonic sources quantificationally and estimate harmonic imped- ance of utility accurately, the Emphatic Partial Least Squares regression method is presented in this paper, the har- monic impedance is estimated and their respective harmonic responsibilities of the utility and customer side are divid- ed, thus we can achieve the purpose of harmonic source identification. This algorithm is also easy to carry out and has much higher resolution than the binary linear regression, robust regression and Partial Least Squares regression. Finally, Simulation models are established by MATLAB/SMUL1NK and the simulation results verify the correctness and effectiveness of the proposed method in the paper.