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Power Flow Optimization Strategy of Distribution Network with Source and Load Storage Considering Period Clustering

Author

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  • 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)

  • Lidi Wang

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

  • Nannan Zhang

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

Abstract

The large-scale grid connection of new energy will affect the optimization of power flow. In order to solve this problem, this paper proposes a power flow optimization strategy model of a distribution network with non-fixed weighting factors of source, load and storage. The objective function is the lowest cost, the smallest voltage deviation and the smallest power loss, and many constraints, such as power flow constraint, climbing constraint and energy storage operation constraint, are also considered. Firstly, the equivalent load curve is obtained by superimposing the output of wind and solar turbines with the initial load, and the best k value is obtained by the elbow rule. The k-means algorithm is used to cluster the equivalent load curve in different periods, and then the fuzzy comprehensive evaluation method is used to determine the weighting factor of the optimization model in each period. Then, the particle swarm optimization algorithm is used to solve the multi-objective power flow optimization model, and the optimal strategy and objective function values of each unit output in the operation period are obtained. Finally, IEEE33 is used as an example to verify the effectiveness of the proposed model through two cases: a fixed proportion method to determine the weighting factor, and this method to determine the weighting factor. The proposed method can improve the economy and reliability of distribution networks.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4515-:d:1086281
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    References listed on IDEAS

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    1. Qifen Li & Yihan Zhao & Yongwen Yang & Liting Zhang & Chen Ju, 2022. "Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner," Energies, MDPI, vol. 16(1), pages 1-15, December.
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    Cited by:

    1. Lin Zhu & Xiaofang Meng & Lidi Wang & Nannan Zhang & Hui Wang, 2023. "Voltage Control Strategy for Low-Voltage Distribution Network with Distributed Energy Storage Participating in Regulation under Low-Carbon Background," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    2. 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.

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