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Research on Distributed Energy Storage Planning-Scheduling Strategy of Regional Power Grid Considering Demand Response

Author

Listed:
  • Yunjie Rao

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Xue Cui

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Xuyue Zou

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Liming Ying

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Pingzheng Tong

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Junlin Li

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

Abstract

Distributed energy storage and demand response technology are considered important means to promote new energy consumption, which has the advantages of peak regulation, balance, and flexibility. Firstly, this paper introduces the carbon trading market and the new energy abandonment penalty mechanism. Taking the energy storage cost, distribution network operation cost, network loss cost, carbon transaction cost, and new energy abandonment cost as the objective functions, the distributed energy storage optimization allocation model is established. Considering the scheduling problems of various units in the system, the operation strategy of distributed energy storage and demand response linkage is proposed. The improved bat algorithm is used to solve the problem. The example analysis shows that under the combined action of energy storage and demand response, the annual total cost of the distribution network is effectively reduced, the consumption rate of new energy is improved, and the voltage quality and network loss of the power grid are improved to ensure the reliability and stability of the distribution network.

Suggested Citation

  • Yunjie Rao & Xue Cui & Xuyue Zou & Liming Ying & Pingzheng Tong & Junlin Li, 2023. "Research on Distributed Energy Storage Planning-Scheduling Strategy of Regional Power Grid Considering Demand Response," Sustainability, MDPI, vol. 15(19), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14540-:d:1254695
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    References listed on IDEAS

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    1. Legrand, Mathieu & Labajo-Hurtado, Raúl & Rodríguez-Antón, Luis Miguel & Doce, Yolanda, 2022. "Price arbitrage optimization of a photovoltaic power plant with liquid air energy storage. Implementation to the Spanish case," Energy, Elsevier, vol. 239(PA).
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    Cited by:

    1. Roksana Yasmin & B. M. Ruhul Amin & Rakibuzzaman Shah & Andrew Barton, 2024. "A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy," Sustainability, MDPI, vol. 16(2), pages 1-41, January.
    2. Shu Qiu & Yujia Deng & Miao Ding & Wenzhen Han, 2024. "An Optimal Scheduling Method for Distribution Network Clusters Considering Source–Load–Storage Synergy," Sustainability, MDPI, vol. 16(15), pages 1-19, July.
    3. Jiangping Liu & Jianghong Nie & Xue Cui & Peng Liu & Pingzheng Tong & Xue Liu, 2024. "Optimal Energy Configuration of Integrated Energy Community Considering Carbon Emission," Sustainability, MDPI, vol. 16(2), pages 1-26, January.

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