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Research on Optimal Planning of Access Location and Access Capacity of Large-Scale Integrated Wind Power Plants

Author

Listed:
  • Hui Li

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University Changping District, Beijing 102206, China
    State Power Economic Research Institute, Changping District, Beijing 102209, China)

  • Gengyin Li

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University Changping District, Beijing 102206, China)

  • Siwei Liu

    (State Power Economic Research Institute, Changping District, Beijing 102209, China)

  • Yuning Wang

    (State Grid Materials Co. Ltd., Xicheng District, Beijing 100120, China)

  • Zhidong Wang

    (State Power Economic Research Institute, Changping District, Beijing 102209, China)

  • Jiaming Wang

    (State Power Economic Research Institute, Changping District, Beijing 102209, China)

  • Ning Zhang

    (State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China)

Abstract

This paper proposes a multi-objective optimal planning model of access location and access capacity for large-scale integrated wind power generation considering the mutual restriction between the planning of large-scale wind power plants and the planning of power system network. In this model, the power flow equilibrium degree, investment costs and active network loss are taken as the optimization goals. The improved differential evolution (IDE) algorithm is applied to calculate the Pareto optimal solution set of wind power’s access planning. With the solution results described by the Pareto pattern, all the alternative solutions are then ranked based on the entropy weight method and the final compromised solution is selected by the method of technique for order preference by similarity to ideal (TOPSIS). And the proposed optimal planning model is tested based on a practical planning need of large-scale integrated wind power generation in an actual power grid of China in 2020. The simulation results show that applied with the proposed optimization model and matching algorithm, the planning scheme of large-scale wind power’s access location and access capacity under complex and practical power system circumstances has been successfully optimized.

Suggested Citation

  • Hui Li & Gengyin Li & Siwei Liu & Yuning Wang & Zhidong Wang & Jiaming Wang & Ning Zhang, 2017. "Research on Optimal Planning of Access Location and Access Capacity of Large-Scale Integrated Wind Power Plants," Energies, MDPI, vol. 10(4), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:442-:d:94708
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    References listed on IDEAS

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    1. Xu, M. & Zhuan, X., 2013. "Optimal planning for wind power capacity in an electric power system," Renewable Energy, Elsevier, vol. 53(C), pages 280-286.
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    Cited by:

    1. Siqing Sheng & Qing Gu, 2019. "A Day-ahead and Day-in Decision Model Considering the Uncertainty of Multiple Kinds of Demand Response," Energies, MDPI, vol. 12(9), pages 1-26, May.

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