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Equivalent Modeling of LVRT Characteristics for Centralized DFIG Wind Farms Based on PSO and DBSCAN

Author

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  • Ning Zhou

    (Power Grid Technology Center, State Grid Shandong Electric Power Research Institute, Jinan 250003, China)

  • Huan Ma

    (Power Grid Technology Center, State Grid Shandong Electric Power Research Institute, Jinan 250003, China)

  • Junchao Chen

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Qiao Fang

    (Power Grid Technology Center, State Grid Shandong Electric Power Research Institute, Jinan 250003, China)

  • Zhe Jiang

    (Power Grid Technology Center, State Grid Shandong Electric Power Research Institute, Jinan 250003, China)

  • Changgang Li

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

Abstract

As large-scale wind turbines are connected to the grid, modeling studies of wind farms are essential to the power system dynamic research. Due to the large number of wind turbines in the wind farm, detailed modeling of each wind turbine leads to high model complexity and low simulation efficiency. An equivalent modeling method for the wind farm is needed to reduce the complexity. For wind farms with widely used doubly-fed induction generators (DFIGs), the existing equivalent studies mainly focus on such continuous control parts as electrical control. These methods are unsuitable for the low voltage ride through (LVRT) part which is discontinuous due to switching control. Based on particle swarm optimization (PSO) and density-based spatial clustering of applications (DBSCAN), this paper proposes an equivalent method for LVRT characteristics of wind farms. Firstly, the multi-turbine equivalent model of the wind farm is established. Each wind turbine in the model represents a cluster of wind turbines with similar voltage variation characteristics. A single equivalent transmission line connects all wind turbines to the power grid. By changing the terminal voltage threshold to enter LVRT, each equivalent turbine can be in different LVRT states. Secondly, an LVRT parameter optimization method based on PSO is used to obtain the dynamic parameters of the equivalent wind turbines. This method of parameter optimization is applicable to the equivalent of LVRT parameters. Thirdly, a clustering method based on DBSCAN is used to obtain suitable clusters of wind turbines. This clustering method can classify wind turbines with similar electrical distances into the same cluster. Finally, two examples are set up to verify the proposed method.

Suggested Citation

  • Ning Zhou & Huan Ma & Junchao Chen & Qiao Fang & Zhe Jiang & Changgang Li, 2023. "Equivalent Modeling of LVRT Characteristics for Centralized DFIG Wind Farms Based on PSO and DBSCAN," Energies, MDPI, vol. 16(6), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2551-:d:1091176
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    Citations

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    Cited by:

    1. Peiru Feng & Jiayin Xu & Zhuang Wang & Shenghu Li & Yuming Shen & Xu Gui, 2024. "Impact of Phase Angle Jump on a Doubly Fed Induction Generator under Low-Voltage Ride-Through Based on Transfer Function Decomposition," Energies, MDPI, vol. 17(19), pages 1-17, September.
    2. Kai-Hung Lu & Qianlin Rao, 2023. "Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    3. Mengjun Liao & Lin Zhu & Yonghao Hu & Yang Liu & Yue Wu & Leke Chen, 2023. "Dynamic Equivalent Modeling of a Large Renewable Power Plant Using a Data-Driven Degree of Similarity Method," Energies, MDPI, vol. 16(19), pages 1-20, October.

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