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Distributed Optimal Coordination of a Virtual Power Plant with Residential Regenerative Electric Heating Systems

Author

Listed:
  • Guixing Yang

    (Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology, Xinjiang University, Urumqi 830046, China
    State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China)

  • Haoran Liu

    (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China)

  • Weiqing Wang

    (Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology, Xinjiang University, Urumqi 830046, China)

  • Junru Chen

    (Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology, Xinjiang University, Urumqi 830046, China)

  • Shunbo Lei

    (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China)

Abstract

Renewable energy sources play a key role in the transition towards clean and affordable energy. However, grid integration of renewable energy sources faces many challenges due to its intermittent nature. The controllability of aggregated regenerative electric heating load provides a method for the consumption of renewable energy sources. Based on the concept of a virtual power plant (VPP), this paper considers the cooperative energy management of aggregated residential regenerative electric heating systems. First, considering physical constraints, network constraints, and user comfort, comprehensive modeling of a VPP is given to maximize its social benefits. In addition, this VPP is investigated as a participant in day-ahead energy and reserve markets. Then, to solve this problem, a distributed coordination approach based on an alternating direction method of multipliers (ADMM) is proposed, which can respect the independence of users and preserve their privacy. Finally, the simulation results illustrate the effectiveness of our algorithm.

Suggested Citation

  • Guixing Yang & Haoran Liu & Weiqing Wang & Junru Chen & Shunbo Lei, 2023. "Distributed Optimal Coordination of a Virtual Power Plant with Residential Regenerative Electric Heating Systems," Energies, MDPI, vol. 16(11), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4314-:d:1155291
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    References listed on IDEAS

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