Review on the Optimal Configuration of Distributed Energy Storage
Ziqi Liu,
Tingting Su,
Zhiying Quan,
Quanli Wu and
Yu Wang ()
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Ziqi Liu: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Tingting Su: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Zhiying Quan: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Quanli Wu: Geely New Energy Commercial Vehicles Group Co., Ltd., Hangzhou 310051, China
Yu Wang: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Energies, 2023, vol. 16, issue 14, 1-17
Abstract:
With the large-scale access of renewable energy, the randomness, fluctuation and intermittency of renewable energy have great influence on the stable operation of a power system. Energy storage is considered to be an important flexible resource to enhance the flexibility of the power grid, absorb a high proportion of new energy and satisfy the dynamic balance between the supply and demand of a system. At present, the cost of energy storage is still high, and how to achieve the optimal energy storage configuration is the primary problem to be solved. Therefore, the current research progress in energy storage application scenarios, modeling method and optimal configuration strategies on the power generation side, grid side and user side are summarized in this paper. On this basis, the shortcomings that still exist of energy storage configuration research are summarized, and the future research direction for energy storage configuration is prospected. This review can provide reference for the latest development and future research and innovation direction for energy storage configuration.
Keywords: renewable energy; energy storage; optimal configuration; latest research status; future research direction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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