A Cooperative Game Approach for Optimal Design of Shared Energy Storage System
Qin Wang,
Jincan Zeng,
Beibei Cheng (),
Minwei Liu,
Guori Huang,
Xi Liu,
Gengsheng He,
Shangheng Yao,
Peng Wang and
Longxi Li ()
Additional contact information
Qin Wang: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China
Jincan Zeng: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China
Beibei Cheng: Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
Minwei Liu: Planning & Research Center for Power Grid, Yunnan Power Grid Corp., Kunming 650011, China
Guori Huang: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China
Xi Liu: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China
Gengsheng He: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China
Shangheng Yao: Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China
Peng Wang: Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
Longxi Li: School of Economics and Management, China University of Geosciences, Wuhan 430074, China
Sustainability, 2024, vol. 16, issue 17, 1-19
Abstract:
The energy sector’s long-term sustainability increasingly relies on widespread renewable energy generation. Shared energy storage embodies sharing economy principles within the storage industry. This approach allows storage facilities to monetize unused capacity by offering it to users, generating additional revenue for providers, and supporting renewable energy prosumers’ growth. However, high investment costs and long payback periods often hinder the development of battery storage. To address this challenge, we propose a shared storage investment framework. In this framework, a storage investor virtualizes physical storage equipment, enabling prosumers to access storage services as though they owned the batteries themselves. We adopt a cooperative game approach to incorporate storage sharing into the design phase of energy systems. To ensure a fair distribution of cooperative benefits, we introduce a benefit allocation mechanism based on contributions to energy storage sharing. Utilizing realistic data from three buildings, our simulations demonstrate that the shared storage mechanism creates a win–win situation for all participants. It also enhances the self-sufficiency and self-consumption of renewable energy. This paper provides valuable insights for shared storage investors regarding optimal design and benefit allocation among multiple stakeholders.
Keywords: shared storage system; optimal design; cooperative game; profit allocation; self-sufficiency rate; self-consumption rate (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:17:p:7255-:d:1462543
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