A Cooperative Game Theoretical Approach for Designing Integrated Photovoltaic and Energy Storage Systems Shared Among Localized Users

To address the increasing need for clean energy and efficient resource utilization, this paper aims to provide a cooperative framework and a fair profit allocation mechanism for integrated photovoltaic (PV) and energy storage systems that are shared among different types of users within a regional alliance, including industrial, commercial, and residential users. A cooperative game model is proposed and formulated by a two-level optimization problem: the upper level determines the optimal PV and storage capacities to maximize the alliance’s net profit, while the lower level allocates profits using an improved Nash bargaining approach based on Shapley value. The model simultaneously incorporates different real-world factors such as time-of-use electricity pricing, system life cycle cost, and load diversity. The results demonstrate that coordination between energy storage systems and PV systems can avoid 18% of solar curtailment losses. Compared to independent deployment by individual users, the cooperative sharing model increases the net present value by 8.41%, highlighting improvements in cost-effectiveness, renewable resource utilization, and operational flexibility. Users with higher demand or better load–generation matching gain greater economic returns, which can provide decision-making guidance for the government in formulating differentiated subsidy policies.

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Publication Details

Journal
Systems
Published
2025-08-18
DOI
https://doi.org/10.3390/systems13080712
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

A Cooperative Game Theoretical Approach for Designing Integrated Photovoltaic and Energy Storage Systems Shared Among Localized Users

Tianyu Zhang, Wei Cui, Zixing Chen
1 citations
Systems
Smart Grid Energy Management
0.73
article

A Cooperative Game Theoretical Approach for Designing Integrated Photovoltaic and Energy Storage Systems Shared Among Localized Users

Tianyu Zhang, Wei Cui, Zixing Chen
article en
1 citations

Abstract

To address the increasing need for clean energy and efficient resource utilization, this paper aims to provide a cooperative framework and a fair profit allocation mechanism for integrated photovoltaic (PV) and energy storage systems that are shared among different types of users within a regional alliance, including industrial, commercial, and residential users. A cooperative game model is proposed and formulated by a two-level optimization problem: the upper level determines the optimal PV and storage capacities to maximize the alliance’s net profit, while the lower level allocates profits using an improved Nash bargaining approach based on Shapley value. The model simultaneously incorporates different real-world factors such as time-of-use electricity pricing, system life cycle cost, and load diversity. The results demonstrate that coordination between energy storage systems and PV systems can avoid 18% of solar curtailment losses. Compared to independent deployment by individual users, the cooperative sharing model increases the net present value by 8.41%, highlighting improvements in cost-effectiveness, renewable resource utilization, and operational flexibility. Users with higher demand or better load–generation matching gain greater economic returns, which can provide decision-making guidance for the government in formulating differentiated subsidy policies.

SystemsVol. 13(8)
Shanghai University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 25%
Smart Grid Energy Management
0.73
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