Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid

Jianlin Li; Yushi Xue; Liting Tian; Xiaodong Yuan

doi:10.1186/s41601-017-0067-8

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Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid

Contents | 更新时间：2026-06-25

- Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid
- Protection and Control of Modern Power Systems Vol. 2, Issue 4, (2017)
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- DOI：10.1186/s41601-017-0067-8
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- Published：2017
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Jianlin Li, Yushi Xue, Liting Tian, et al. Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid[J]. Protection and Control of Modern Power Systems, 2017, 2(4).
DOI：

Jianlin Li, Yushi Xue, Liting Tian, et al. Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid[J]. Protection and Control of Modern Power Systems, 2017, 2(4). DOI： 10.1186/s41601-017-0067-8.

摘要

The optimal configuration of battery energy storage system is key to the designing of a microgrid. In this paper

a optimal configuration method of energy storage in grid-connected microgrid is proposed. Firstly

the two-layer decision model to allocate the capacity of storage is established. The decision variables in outer programming model are the capacity and power of the storage system. The objective is the least investment on the battery energy storage system. The decision variable in inner programming model is the charging and discharging power of battery. The objective is the lowest power fluctuation on the connection line. Then a case containing a grid-connected microgrid with wind power

photovoltaic

battery energy storage and load is studied

and the multi-scenario probabilistic method is used. The last result of energy storage configuration is calculated through the probability of each scene.

Abstract

The optimal configuration of battery energy storage system is key to the designing of a microgrid. In this paper

a optimal configuration method of energy storage in grid-connected microgrid is proposed. Firstly

photovoltaic

battery energy storage and load is studied

and the multi-scenario probabilistic method is used. The last result of energy storage configuration is calculated through the probability of each scene.

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Related Institution

Faculty of Electric Power Engineering, Kunming University of Science and Technology

College of Electrical Engineering, Zhejiang University

Electric Power Research Institute, Yunnan Power Grid Company Ltd.

Faculty of Science, Kunming University of Science and Technology

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology

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