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Optimal Configuration of Electricity-Heat Integrated Energy Storage Supplier and Multi-Microgrid System Scheduling Strategy Considering Demand Response

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  • Yuchen Liu

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Zhenhai Dou

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Zheng Wang

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Jiaming Guo

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Jingwei Zhao

    (State Power Investment Corporation Haiyang Offshore Wind Power Co., Ltd., Guangzhou 510710, China)

  • Wenliang Yin

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

Abstract

Shared energy storage system provides an attractive solution to the high configuration cost and low utilization rate of multi-microgrid energy storage system. In this paper, an electricity-heat integrated energy storage supplier (EHIESS) containing electricity and heat storage devices is proposed to provide shared energy storage services for multi-microgrid system in order to realize mutual profits for different subjects. To this end, electric boiler (EB) is introduced into EHIESS to realize the electricity-heat coupling of EHIESS and improve the energy utilization rate of electricity and heat storage equipment. Secondly, due to the problem of the uncertainty in user-side operation of multi-microgrid system, a price-based demand response (DR) mechanism is proposed to further optimize the resource allocation of shared electricity and heat energy storage devices. On this basis, a bi-level optimization model considering the capacity configuration of EHIESS and the optimal scheduling of multi-microgrid system is proposed, with the objectives of maximizing the profits of energy storage suppliers in upper-level and minimizing the operation costs of the multi-microgrid system in lower-level, and solved based on the Karush-Kuhn-Tucker (KKT) condition and Big-M method. The simulation results show that in case of demand response, the total operation cost of multi-microgrid system and the total operation profit of EHIESS are 51,687.73 and 11,983.88 CNY, respectively; and the corresponding electricity storage unit capacity is 9730.80 kWh. The proposed model realizes the mutual profits of EHIESS and multi-microgrid system.

Suggested Citation

  • Yuchen Liu & Zhenhai Dou & Zheng Wang & Jiaming Guo & Jingwei Zhao & Wenliang Yin, 2024. "Optimal Configuration of Electricity-Heat Integrated Energy Storage Supplier and Multi-Microgrid System Scheduling Strategy Considering Demand Response," Energies, MDPI, vol. 17(21), pages 1-23, October.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5436-:d:1510942
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    References listed on IDEAS

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