A Method for Assessing Customer Harmonic Emission Level Based on the Iterative Algorithm for Least Square Estimation


With the power system harmonic pollution problems becoming more and more serious, how to distinguish the harmonic responsibility accurately and solve the grid harmonics simply and effectively has become the main development direction in harmonic control subjects. This paper, based on linear regression analysis of basic equation and improvement equation, deduced the least squares estimation (LSE) iterative algorithm and obtained the real-time estimates of regression coefficients, and then calculated the level of the harmonic impedance and emission estimates in real time. This paper used power system simulation software Matlab/Simulink as analysis tool and analyzed the user side of the harmonic amplitude and phase fluctuations PCC (point of common coupling) at the harmonic emission level, thus the research has a certain theoretical significance. The development of this algorithm combined with the instrument can be used in practical engineering.

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Fan, R. , Tan, T. , Chang, H. , Tong, X. and Gao, Y. (2013) A Method for Assessing Customer Harmonic Emission Level Based on the Iterative Algorithm for Least Square Estimation. Engineering, 5, 6-13. doi: 10.4236/eng.2013.59B002.

Conflicts of Interest

The authors declare no conflicts of interest.


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