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Multiobjective Reactive Power Optimization of Renewable Energy Power Plants Based on Time-and-Space Grouping Method

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  • Linan Qu

    (Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, School of Electronic Engineering, Hebei University of Technology, Tianjin 300130, China
    China Electric Power Research Institute (Nanjing), Nanjing 210003, China)

  • Shujie Zhang

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    State Grid Qinghai Electric Power Company, Xining 810001, China)

  • Hsiung-Cheng Lin

    (Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Ning Chen

    (China Electric Power Research Institute (Nanjing), Nanjing 210003, China)

  • Lingling Li

    (Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, School of Electronic Engineering, Hebei University of Technology, Tianjin 300130, China)

Abstract

The large-scale renewable energy power plants connected to a weak grid may cause bus voltage fluctuations in the renewable energy power plant and even power grid. Therefore, reactive power compensation is demanded to stabilize the bus voltage and reduce network loss. For this purpose, time-series characteristics of renewable energy power plants are firstly reflected using K-means++ clustering method. The time group behaviors of renewable energy power plants, spatial behaviors of renewable energy generation units, and a time-and-space grouping model of renewable energy power plants are thus established. Then, a mixed-integer optimization method for reactive power compensation in renewable energy power plants is developed based on the second-order cone programming (SOCP). Accordingly, power flow constraints can be simplified to achieve reactive power optimization more efficiently and quickly. Finally, the feasibility and economy for the proposed method are verified by actual renewable energy power plants.

Suggested Citation

  • Linan Qu & Shujie Zhang & Hsiung-Cheng Lin & Ning Chen & Lingling Li, 2020. "Multiobjective Reactive Power Optimization of Renewable Energy Power Plants Based on Time-and-Space Grouping Method," Energies, MDPI, vol. 13(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3556-:d:382712
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    References listed on IDEAS

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    Cited by:

    1. Mengjun Liao & Lin Zhu & Yonghao Hu & Yang Liu & Yue Wu & Leke Chen, 2023. "Dynamic Equivalent Modeling of a Large Renewable Power Plant Using a Data-Driven Degree of Similarity Method," Energies, MDPI, vol. 16(19), pages 1-20, October.
    2. Hao He & Jia Li & Weizhe Zhao & Boyang Li & Yalong Li, 2022. "Reactive Power and Voltage Optimization of New-Energy Grid Based on the Improved Flower Pollination Algorithm," Energies, MDPI, vol. 15(10), pages 1-12, May.

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