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A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling

Author

Listed:
  • Qianlong Zhu

    (The College of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Jun Tao

    (The College of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Tianbai Deng

    (The College of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Mingxing Zhu

    (The College of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

Abstract

To enhance the stable performance of wind farm (WF) equivalent models in uncertain operating scenarios, a model-data-driven equivalent modeling method for doubly-fed induction generator (DFIG)-based WFs is proposed. Firstly, the aggregation-based WF equivalent models and the equivalent methods for aggregated parameters are analyzed and compared. Two mechanism models are selected from the perspective of practicality and complementarity of simulation accuracy. Secondly, the simulation parameters are set through two sampling methods to construct a training database. Next, the whole fault process is divided into five phases, and the weight coefficient optimization model is established according to the data-driven idea to achieve the adaptive configuration of the weight. Finally, the electromechanical transient simulations of the power systems with a DFIG-based WF is carried out by using the MATLAB/Simulink platform. Compared with the detailed WF model, the simulation time of the WF equivalent proposed in this paper can be significantly reduced by about 87%, and simulation results show that the proposed method can effectively improve the adaptability of the WF equivalent model in different wind scenarios and voltage dips.

Suggested Citation

  • Qianlong Zhu & Jun Tao & Tianbai Deng & Mingxing Zhu, 2022. "A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling," Energies, MDPI, vol. 15(19), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7205-:d:930396
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    References listed on IDEAS

    as
    1. Francisco Haces-Fernandez & Mariee Cruz-Mendoza & Hua Li, 2022. "Onshore Wind Farm Development: Technologies and Layouts," Energies, MDPI, vol. 15(7), pages 1-25, March.
    2. Zbigniew Skibko & Grzegorz Hołdyński & Andrzej Borusiewicz, 2022. "Impact of Wind Power Plant Operation on Voltage Quality Parameters—Example from Poland," Energies, MDPI, vol. 15(15), pages 1-16, August.
    3. Qianlong Zhu & Ming Ding & Pingping Han, 2016. "Equivalent Modeling of DFIG-Based Wind Power Plant Considering Crowbar Protection," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-16, August.
    4. Donghyeon Lee & Seungwan Son & Insu Kim, 2021. "Optimal Allocation of Large-Capacity Distributed Generation with the Volt/Var Control Capability Using Particle Swarm Optimization," Energies, MDPI, vol. 14(11), pages 1-19, May.
    5. Ji Han & Li Li & Huihui Song & Meng Liu & Zongxun Song & Yanbin Qu, 2022. "An Equivalent Model of Wind Farm Based on Multivariate Multi-Scale Entropy and Multi-View Clustering," Energies, MDPI, vol. 15(16), pages 1-17, August.
    6. Ajaysekhar Agarala & Sunil S. Bhat & Arghya Mitra & Daria Zychma & Pawel Sowa, 2022. "Transient Stability Analysis of a Multi-Machine Power System Integrated with Renewables," Energies, MDPI, vol. 15(13), pages 1-18, July.
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