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Voltage Zoning Regulation Method of Distribution Network with High Proportion of Photovoltaic Considering Energy Storage Configuration

Author

Listed:
  • Fangfang Zheng

    (College of Information and Electric Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Xiaofang Meng

    (College of Information and Electric Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Tiefeng Xu

    (College of Information and Electric Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Yongchang Sun

    (Economic and Technological Development Zone Heating Limited Company, Dalian 116600, China)

  • Nannan Zhang

    (College of Information and Electric Engineering, Shenyang Agricultural University, Shenyang 110866, China)

Abstract

Photovoltaics have uncertain characteristics. If a high proportion of photovoltaics are connected to the distribution network, the voltage will exceed the limit. In order to solve this problem, a voltage regulation method of a distribution network considering energy storage partition configuration is proposed. Taking the minimum total voltage deviation, the minimum total cost, the minimum total power loss, and the minimum energy storage device installation ratio as the objective function, and considering various conditions, such as voltage deviation constraint and energy storage constraint, a mathematical model of voltage regulation is established. Firstly, a high proportion of photovoltaics are connected to the distribution network, and the voltage deviation curve is obtained. The optimal k value is determined by the elbow rule. The voltage deviation curve of each node is clustered by the k-means algorithm so as to determine the energy storage device partition. The energy storage device is connected to various clustering centers, and then the weighting factor of each objective function is determined by the fuzzy comprehensive evaluation method. For comparison and analysis, ( k + 1) schemes are determined through the partition configuration of ( k + 1) energy storage devices. Then, the model is solved by particle swarm optimization, and the unit output result and the minimum objective function value are obtained. Finally, an example of IEEE33 is used to verify the effectiveness of the proposed model.

Suggested Citation

  • Fangfang Zheng & Xiaofang Meng & Tiefeng Xu & Yongchang Sun & Nannan Zhang, 2023. "Voltage Zoning Regulation Method of Distribution Network with High Proportion of Photovoltaic Considering Energy Storage Configuration," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10732-:d:1189277
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    References listed on IDEAS

    as
    1. Fangfang Zheng & Xiaofang Meng & Lidi Wang & Nannan Zhang, 2023. "Power Flow Optimization Strategy of Distribution Network with Source and Load Storage Considering Period Clustering," Sustainability, MDPI, vol. 15(5), pages 1-14, March.
    2. Fangfang Zheng & Xiaofang Meng & Lidi Wang & Nannan Zhang, 2023. "Operation Optimization Method of Distribution Network with Wind Turbine and Photovoltaic Considering Clustering and Energy Storage," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    3. Zhang, Zhengfa & da Silva, Filipe Faria & Guo, Yifei & Bak, Claus Leth & Chen, Zhe, 2022. "Coordinated voltage control in unbalanced distribution networks with two-stage distributionally robust chance-constrained receding horizon control," Renewable Energy, Elsevier, vol. 198(C), pages 907-915.
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