Abstract

In the process of integrating large-scale wind farms into the power system, the harmonic interaction among wind farms causes potential safe and stable operation threats to the power grid. To effectively control the harmonics of the wind power grid-connected system, quantitative analysis of the harmonic interaction is very necessary and meaningful. Therefore, this paper firstly explains the harmonic interaction among wind farms from the perspective of the primary and secondary emission. We use the concept of harmonic impedance to analyze the mechanism of harmonic interaction and proposed a calculation method for quantitative analysis of the harmonic interaction. Using the calculation method, the influence caused by the wind farm self-impedance, the contact impedance, and Static Var Generator to the harmonic interaction are quantitatively analyzed. Finally, taking multiple wind farms in actual operation as a case, the effectiveness of the method is verified by time domain simulation.

Highlights

  • Wind energy is a clean, renewable, and high-quality energy with large-scale development potential (Bak et al, 2013)

  • Quantitative Interaction Mechanism of Primary and Secondary Emissions for the Harmonic Current establishes the analysis model for harmonic interaction of multiple wind farms

  • This paper analyzes the harmonic interaction between wind farms from the perspective of the primary and secondary emissions of harmonics

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Summary

INTRODUCTION

Wind energy is a clean, renewable, and high-quality energy with large-scale development potential (Bak et al, 2013). To quantitatively analyze the interaction influence of the primary harmonic emission and the secondary harmonic emission between multiple wind farms, the interaction factor of harmonic current is defined, in Eq 3 in this paper. Because of the structural characteristics of the power electronics of SVG, the switching will cause changes in the primary emission of the grid-connected harmonic currents in wind farms and affects the varieties in the secondary emission of adjacent wind farms. Compared with working condition 1 and working condition 2, λ12 and λ21 are relatively smallest in case of working condition 3, which is consistent with the conclusion of theoretical analysis

CONCLUSION
Findings
DATA AVAILABILITY STATEMENT

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