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

delete2022-09-01
delete34
PRE
AI
J
Jiacheng Guo
Z
Zhijian Liu *
X
Xuan Wu
D
Di Wu
S
Shicong Zhang
X
Xinyan Yang
H
Hua Ge
张培文 cover
张培文 (Peiwen Zhang)
DOI:10.1016/j.apenergy.2022.119486delete
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Abstract

Abstract

En 中文
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 x 10(6) kWh (72.3%) and 1.6 x 10(6) 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

Journal

Applied Energy cover
Applied Energy
IF:
11
Papers:
2.6W
Citations:
17.8W

Organization

C
concordia university - canada
Scholars:
8.0K
Papers: 8.9K
Citations: 4
N
north china electric power university
Scholars:
2.5W
Papers: 1.7W
Citations: 16