Comprehensive Harmonic Responsibility Calculation Based on Different Weighting Methods

Mingxing Tian, Yaomin Wang and Jun Li
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Mingxing Tian: School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Yaomin Wang: School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Jun Li: Kunming Survey Design and Research of Institute Co. Ltd. of CREEC, Kunming 650200, China

Energies, 2019, vol. 12, issue 23, 1-17

Abstract: Dividing the responsibility of harmonics between customer and utility sides is necessary to improve the objectivity, rationality, and scientificalness of power measurement and power quality evaluation. On the basis of expert experience and customer needs and considering the background harmonic fluctuation, this study proposes two reasonable conditions to evaluate harmonic responsibility. At the same time, the reference index of harmonic responsibility calculation and the problem of different frequency harmonics are considered in the comprehensive calculation. On the basis of the IEEE Std. 1459–2010 power theory, the index set of harmonic responsibility is established, and several common subjective and objective weighting methods are used to weigh each index. On the basis of optimization theory, an optimization model is established by constructing a Lagrange function in finding the condition extremum to unify the subjective and objective information. Finally, the calculation method is verified by a Norton equivalent model, and the harmonic responsibility of each index is calculated by the harmonic current vector method; thus, calculating the actual impedance of customer and utility sides is unnecessary, making the calculation simple and effective. Results of the comparative analysis show that the comprehensive evaluation method of harmonic responsibility with the combinatorial weighting method can not only meet the different needs of different groups for harmonic indicators but also reflect the background harmonic fluctuations sensitively. In this manner, the subjective and objective information are unified, and the shortcomings of a single weighting method are overcome. Hence, the evaluation results are accurate, practical, and reasonable.

Keywords: combinatorial weighting method; comprehensive calculation; harmonic responsibility; weighting method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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