Optimal configuration of electricity-heat integrated energy storage supplier and multi-microgrid system scheduling strategy considering demand response




HIGHLIGHTS
  • What: In this paper an electricityheat (EHIESS) containing electricity and heat devices is proposed to provide shared services for multi-microgrid system to realize mutual profits for different subjects. In this paper, the impact of EHIESS on the multi-microgrid system operation is comparatively analyzed by setting up the following three cases. To further evaluate the effectiveness of the shared energy storage optimal configuration model proposed in this paper, simulations are conducted in two scenarios of fixed energy storage capacity and optimal configuration of energy storage capacity in EHIESS.
  • Who: Yuchen Liu and collaborators from the School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China have published the Article: Optimal Configuration of Electricity-Heat Integrated Energy Storage Supplier and Multi-Microgrid System Scheduling Strategy Considering Demand Response, in the Journal: Energies 2024, 17, 5436. of 12/Oct/2024
  • How: Summer load demands wind and photovoltaic data of three microgrids are selected and the optimal operation of EHIESS with the TSU capacity set to 10000 11000 12000 kWh and TSU capacity set to 8000 8500 9000 kWh respectively is solved to compare with the optimal configuration scenarios of EHIESS and the obtained results are shown in Table 6.
  • Future: In future research work the authors will further consider the issue of evaluating the impact of multiple uncertainties such as wind power and photovoltaic on multi-microgrid shared energy storage systems. This paper focuses on multi-microgrid shared energy storage systems and future research can be extended to a wider range of application scenarios and consider different sizes and types of energy systems to provide broader application guidance and decision support.
SUMMARY

    Ref uses a two-layer optimization structure for multi-microgrid system day-ahead and real-time energy scheduling, respectively, where energy interactions between adjacent microgrids reduce the total operation cost. Shared energy storage has become a more attractive way of energy storage configuration in multi-microgrid system by virtue of its flexibility and economic advantages, which makes up for the regulation needs on the microgrid side and ensures the stable operation of renewable energy power system. Ref combines the advantages of distributed and centralized structures of energy storage system, and proposes an optimal scheduling model for an integrated energy microgrid system containing electricity and thermal storage unit, which minimizes the waste of electricity and thermal energy and obtains the optimal economic benefits. In this paper, a bi-level optimization model considering EHIESS capacity configuration and optimal scheduling of multi-microgrid system is proposed to maximize the profits of EHIESS and minimize the operation costs of multi-microgrid system. The introduction of EB in EHIESS makes the electricity-heat coupling in EHIESS more flexible, significantly improves the energy utilization rate of the storage equipment, and brings better economic benefits to the multi-microgrid system. Compared to the scenario considering only the separate configuration of electricity and heat energy storage, the addition of EB improves the total profits of EHIESS in one scheduling period by $211.01 and $2428.27 in summer and winter, respectively, and reduces the total operation costs of the multi-microgrid system by $2084.25 and $8663.59, respectively. This paper focuses on multi-microgrid shared energy storage systems, and future research can be extended to a wider range of application scenarios and consider different sizes and types of energy systems to provide broader application guidance and decision support. @@

Licence: cc-by

Site reference: https://www.mdpi.com/1996-1073/17/21/5436/pdf?version=1730363123

DOI reference: https://www.doi.org/10.3390/en17215436

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