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Two-layer co-optimization method for a distributed energy system combining multiple energy storages

Jiacheng Guo, Zhijian Liu, Xuan Wu, Di Wu, Shicong Zhang, Xinyan Yang, Hua Ge and Peiwen Zhang

Applied Energy, 2022, vol. 322, issue C, No S0306261922008121

Abstract: With the rapid development of nearly zero-energy buildings, the establishment of a nearly zero-energy community composed of concentrated and contiguous nearly zero-energy buildings constitutes the future architectural trend. However, configuration and optimization research of distributed energy systems combining multiple energy storages (DES-MESs) for the nearly zero-energy community is not sufficiently mature. Therefore, this paper initially proposed a DES-MES combining power-to-heat, power-to-cold and lithium batteries. Subsequently, a two-layer co-optimization method was proposed considering the equipment configuration in the upper layer and energy storage operating parameters in the under-layer. Based on the nearly zero-energy community, the influence of the initial parameters on the DES-MES optimization results was studied. Then, comparative research of different co-optimization methods was conducted. Finally, analysed the interactive electricity quantity, annual cost, carbon dioxide emissions, etc., of the DES-MES under the nearly zero-energy community scenario. The results indicated that the stability of the performance indicators (volatility under 5.0%) and decision variables (volatility under 30.0%) of the system were much higher than those determined with multi-parameter or multi-stage co-optimization methods. Compared to the separated production system, the primary energy consumption and carbon dioxide emissions of the DES-MES were reduced by 4.7 × 106 kWh (72.3%) and 1.6 × 106 kg (79.0%), respectively. The two-layer co-optimization method could effectively solve the problem of balancing the accuracy of the optimization results and calculation time. This paper provides a solution for the study of the system structure, operation optimization, and performance indicators of the DES-MES under the nearly zero-energy community scenario.

Keywords: Distributed energy system; Power-to-heat/cold; Multiple energy storage systems; Two-layer co-optimization method; Nearly zero-energy community (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (16)

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DOI: 10.1016/j.apenergy.2022.119486

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