Jianlin Li, Yushi Xue, Liting Tian, 等. Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid[J]. 现代电力系统保护与控制(英文), 2017,2(4).
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).
Jianlin Li, Yushi Xue, Liting Tian, 等. Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid[J]. 现代电力系统保护与控制(英文), 2017,2(4).DOI: 10.1186/s41601-017-0067-8.
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.
Research on optimal configuration strategyof energy storage capacity in gridconnectedmicrogrid
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
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.
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相关作者
Jingbo Wang
Dengke Gao
Hongbiao Li
Wei Yao
Jiale Li
Shi Su
Yunfeng Yan
Yimin Zhou
相关机构
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