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A Frequency Control Strategy Considering Large Scale Wind Power Cluster Integration Based on Distributed Model Predictive Control

Author

Listed:
  • Bohao Sun

    (China Electric Power Research Institute, Haidian District, Beijing 100192, China)

  • Yong Tang

    (China Electric Power Research Institute, Haidian District, Beijing 100192, China)

  • Lin Ye

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

  • Chaoyu Chen

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

  • Cihang Zhang

    (College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)

  • Wuzhi Zhong

    (China Electric Power Research Institute, Haidian District, Beijing 100192, China)

Abstract

With large scale wind integration and increasing wind penetration in power systems, relying solely on conventional generators for frequency control is not enough to satisfy system frequency stability requirements. It is imperative that wind power have certain capabilities to participate in frequency control by cooperating with conventional power sources. Firstly, a multi-area interconnected power system frequency response model containing wind power clusters and conventional generators is established with consideration of several nonlinear constraints. Moreover, a distributed model predictive control (DMPC) strategy considering Laguerre functions is proposed, which implements online rolling optimization by using ultra-short-term wind power forecasting data in order to realize advanced frequency control. Finally, a decomposition-coordination control algorithm considering Nash equilibrium is presented, which realizes online fast optimization of multivariable systems with constraints. Simulation results demonstrate the feasibility and effectiveness of the proposed control strategy and algorithm.

Suggested Citation

  • Bohao Sun & Yong Tang & Lin Ye & Chaoyu Chen & Cihang Zhang & Wuzhi Zhong, 2018. "A Frequency Control Strategy Considering Large Scale Wind Power Cluster Integration Based on Distributed Model Predictive Control," Energies, MDPI, vol. 11(6), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1600-:d:153227
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    Citations

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    Cited by:

    1. Xiangjie Liu & Le Feng & Xiaobing Kong, 2022. "A Comparative Study of Robust MPC and Stochastic MPC of Wind Power Generation System," Energies, MDPI, vol. 15(13), pages 1-22, June.
    2. Aviad Navon & Gefen Ben Yosef & Ram Machlev & Shmuel Shapira & Nilanjan Roy Chowdhury & Juri Belikov & Ariel Orda & Yoash Levron, 2020. "Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review," Energies, MDPI, vol. 13(15), pages 1-35, August.
    3. Min-Rong Chen & Guo-Qiang Zeng & Yu-Xing Dai & Kang-Di Lu & Da-Qiang Bi, 2018. "Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid," Energies, MDPI, vol. 12(1), pages 1-21, December.
    4. Yingming Liu & Yingwei Wang & Xiaodong Wang & Jiangsheng Zhu & Wai Hou Lio, 2019. "Active Power Dispatch for Supporting Grid Frequency Regulation in Wind Farms Considering Fatigue Load," Energies, MDPI, vol. 12(8), pages 1-23, April.

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