Energy Storage Capacity Sharing of Urban Building Cluster Based on Cooperative Game

doi:10.12204/j.issn.1000-7229.2024.02.010

Abstract

Abstract:

Distributed generation using renewable energy is prevalent in cities, and energy storage is an effective method for addressing the uncertainty of its output. However, problems such as high costs and low utilization rates may be encountered in buildings that use energy storage. In the self-owned energy-storage sharing mode, an alliance mechanism based on a cooperative game was designed for urban buildings. Furthermore, a cooperative surplus distribution method, which considers the difference in energy storage investment, was developed based on an improved Raiffa solution algorithm. The simulation results demonstrate the applicability of the proposed alliance mechanism in an urban building cluster with different types of buildings, such as residential, office, and commercial buildings. Compared with the noncooperative mechanism, the cost was reduced by 10.22%, and the energy storage utilization rate increased by 18.12%. Moreover, the reduced amplitude of the cost of buildings with energy storage was much higher than that of buildings without energy storage. Therefore, the proposed cooperative surplus distribution method is reasonable, and the calculation volume is significantly reduced compared with that of the Shapley value method.

Key words: urban building cluster, energy storage, cooperative game, cooperative surplus distribution, improved Raiffa solution algorithm

CLC Number:

TM73

JI Ruiqiang, HU Jian, ZHANG Xiaojie. Energy Storage Capacity Sharing of Urban Building Cluster Based on Cooperative Game[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(2): 115-126.

Figures/Tables 17

Fig.1 Capacity sharing framework for distributed energy storage of urban building cluster

Fig.2 ADMM algorithm solving steps

Table 1 Configuration of energy storage and photovoltaic

Fig.3 Iterative convergence process based on ADMM algorithm

Fig.4 Energy storage usage of building cluster in scenario 1

Fig.5 Energy storage usage of building cluster in scenario 2

Fig.6 Energy storage usage of residential building 1

Fig.7 Energy storage usage of residential building 2

Fig.8 Energy storage usage of residential building 3

Fig.9 Energy storage usage of office building 2

Table 2 Operating cost of building cluster 元

Table 3 Operating cost of building after surplus allocation through cooperation

Fig.A1 Cooperative surplus allocation and building operating cost calculation

Table A1 Time-of-use price

Fig.A2 PV and outdoor temperature curve

Fig.A3 Basic load curve

Table A2 Main parameters of controllable load

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