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Reactive Power Planning for Regional Power Grids Based on Active and Reactive Power Adjustments of DGs

Author

Listed:
  • Yangwu Shen

    (Sate Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China)

  • Feifan Shen

    (Department of Electrical Engineering, Technical University of Denmark, kgs. Lyngby, 2008 Copenhagen, Denmark)

  • Yaling Chen

    (School of Humanities and Management, Hunan University of Chinese Medicine, Changsha 410208, China)

  • Liqing Liang

    (Sate Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China)

  • Bin Zhang

    (Sate Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China)

  • Deping Ke

    (Department of Electrical Engineering, Wuhan University, Wuhan 430000, China)

Abstract

To deal with extreme overvoltage scenarios with small probabilities in regional power grids, the traditional reactive power planning model requires a huge VAR compensator investment. Obviously, such a decision that makes a large investment to cope with a small probability event is not economic. Therefore, based on the scenario analysis of power outputs of distributed generations and load consumption, a novel reactive power planning model considering the active and reactive power adjustments of distributed generations is proposed to derive the optimal allocation of VAR compensators and ensure bus voltages within an acceptable range under extreme overvoltage scenarios. The objective of the proposed reactive power planning model is to minimize the VAR compensator investment cost and active power adjustment cost of distributed generations. Moreover, since the proposed reactive power planning model is formulated as a mixed-integer nonlinear programming problem, a primal-dual interior point method-based particle swarm optimization algorithm is developed to effectively solve the proposed model. Simulation results were conducted with the modified IEEE 30-bus system to verify the effectiveness of the proposed reactive power planning model.

Suggested Citation

  • Yangwu Shen & Feifan Shen & Yaling Chen & Liqing Liang & Bin Zhang & Deping Ke, 2018. "Reactive Power Planning for Regional Power Grids Based on Active and Reactive Power Adjustments of DGs," Energies, MDPI, vol. 11(6), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1606-:d:153361
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    References listed on IDEAS

    as
    1. Yangwu Shen & Mingjian Cui & Qin Wang & Feifan Shen & Bin Zhang & Liqing Liang, 2017. "Comprehensive Reactive Power Support of DFIG Adapted to Different Depth of Voltage Sags," Energies, MDPI, vol. 10(6), pages 1-20, June.
    2. Vasiliki Vita, 2017. "Development of a Decision-Making Algorithm for the Optimum Size and Placement of Distributed Generation Units in Distribution Networks," Energies, MDPI, vol. 10(9), pages 1-13, September.
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    Cited by:

    1. Wen-Tung Lee & Shih-Cheng Horng & Chi-Fang Lin, 2019. "Application of Ordinal Optimization to Reactive Volt-Ampere Sources Planning Problems," Energies, MDPI, vol. 12(14), pages 1-16, July.

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