Research on the Frequency Stability Analysis of Grid-Connected Double-Fed Induction Generator Systems

Peng Jia, Yun Sun, Linlin Yu, Jing Zhang, Xiaoliang Jiang and Gaojun Meng ()
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Peng Jia: Economic Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China
Yun Sun: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Linlin Yu: Economic Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China
Jing Zhang: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Xiaoliang Jiang: Economic Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China
Gaojun Meng: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China

Energies, 2025, vol. 18, issue 9, 1-16

Abstract: Existing approaches insufficiently analyze the quantitative relationship between frequency stability indices and wind power penetration rates. This limitation impedes rapid and accurate assessments of wind power’s grid integration potential. This paper first analyzed the impact mechanism of wind power integration on system inertia and static power-frequency characteristics from different aspects of the influence of double-fed induction generators (DFIGs) on the operating modes of synchronous machines. Subsequently, based on this analysis, the paper derived the quantitative relationship between key indicators reflecting transient frequency response characteristics during power shortages and wind power penetration rates. It also rapidly calculated the maximum wind power penetration rate based on constraints of frequency change rate and maximum frequency deviation, thereby enabling a quantitative evaluation of wind power grid connection capability. Finally, the IEEE 39-bus test system was used for case analysis. The research results indicate that the proposed method can accurately quantify the impact of wind power variation on system frequency stability and rapidly determine the maximum wind power penetration rate to ensure frequency stability, thereby improving the accuracy of the wind power grid connection capability assessment.

Keywords: double-fed induction generator (DFIG); frequency stability; quantitative evaluation; maximum penetration rate (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: 2025
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