Optimal Configuration of Energy Storage Systems in High PV Penetrating Distribution Network

Jinhua Zhang, Liding Zhu (), Shengchao Zhao, Jie Yan and Lingling Lv
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Jinhua Zhang: School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Liding Zhu: School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Shengchao Zhao: School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Jie Yan: State Key Laboratory of New Energy Power System, School of New Energy, North China Electric Power University, Beijing 100096, China
Lingling Lv: School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China

Energies, 2023, vol. 16, issue 5, 1-21

Abstract: In this paper, a method for rationally allocating energy storage capacity in a high-permeability distribution network is proposed. By constructing a bi-level programming model, the optimal capacity of energy storage connected to the distribution network is allocated by considering the operating cost, load fluctuation, and battery charging and discharging strategy. By constructing four scenarios with energy storage in the distribution network with a photovoltaic permeability of 29%, it was found that the bi-level decision-making model proposed in this paper saves 2346.66 yuan and 2055.05 yuan, respectively, in daily operation cost compared to the scenario without energy storage and the scenario with single-layer energy storage. After accessing IEEE-33 nodes for simulation verification, it was found that the bi-level decision-making model proposed in this paper has a good inhibition effect on voltage fluctuation and load fluctuation after energy storage configuration. In addition, this paper analyzes the energy storage that can be accessed by photovoltaic distribution networks with different permeability and finds that when photovoltaic permeability reaches 45% and corresponding energy storage is configured, the economic and energy storage benefits of the system are the best.

Keywords: high PV penetration; energy storage; optimal configuration; bi-level decision-making models (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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