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Intelligent Regulation Method for a Controllable Load Used for Improving Wind Power Integration

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Listed:
  • Jia-Jue Li

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China)

  • Bao-Zhu Shao

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China)

  • Jun-Hui Li

    (School of Electrical Engineering, Northeast Electric Power University, Jilin City 132012, China)

  • Wei-Chun Ge

    (State Grid Liaoning Electric Power Co. Ltd., Shenyang 110004, China)

  • Jia-Hui Zhang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin City 132012, China)

  • Heng-Yu Zhou

    (School of Electrical Engineering, Northeast Electric Power University, Jilin City 132012, China)

Abstract

Improving the safety and stability of power systems by adjusting the controllable load to improve the wind power integration has become a hot research topic. However, the methodology of accurately controlling the load and fundamentally improving the wind power integration capacity has yet to be studied. Therefore, this paper proposes an intelligent regulation method for a controllable load. This method takes the new energy consumption assessment as feedback, and it combines the wind power acceptance assessment and scheduling plan to form the internal and external loop control structure, and it derives the controllable load intelligent regulation architecture. The load curve is decomposed by an interactive load observer, and the load curve is adjusted by the interactive load controller according to a given standard, thereby improving the new energy acceptance capability. Finally, based on the actual grid operation data of a provincial power grid in Northeastern China, the source grid load balancing process and the interactive load regulation model of the wind power system are simulated. The above method verifies the validity and rationality of the proposed method.

Suggested Citation

  • Jia-Jue Li & Bao-Zhu Shao & Jun-Hui Li & Wei-Chun Ge & Jia-Hui Zhang & Heng-Yu Zhou, 2018. "Intelligent Regulation Method for a Controllable Load Used for Improving Wind Power Integration," Energies, MDPI, vol. 11(11), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3085-:d:181477
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    References listed on IDEAS

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    1. Eklas Hossain & Ron Perez & Sanjeevikumar Padmanaban & Pierluigi Siano, 2017. "Investigation on the Development of a Sliding Mode Controller for Constant Power Loads in Microgrids," Energies, MDPI, vol. 10(8), pages 1-24, July.
    2. Junhui Li & Yunbao Ma & Gang Mu & Xichao Feng & Gangui Yan & Gan Guo & Tianyang Zhang, 2018. "Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation," Energies, MDPI, vol. 11(6), pages 1-16, May.
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    Cited by:

    1. Francisco G. Montoya & Raúl Baños & Alfredo Alcayde & Francisco Manzano-Agugliaro, 2019. "Optimization Methods Applied to Power Systems," Energies, MDPI, vol. 12(12), pages 1-8, June.

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