Planning and configuration method for DESS considering DN losses

Distributed energy storage system (DESS) is the key way to improve the flexibility and stability of distribution network (DN) and promote the consumption of renewable energy. Aiming at the problem of location and capacity of the DESS connected to the DN, this paper proposes a planning and configuration method of the DESS considering the network losses of the DN. Firstly, aiming at minimizing the DN loss, a location model of energy storage system considering the DN losses are constructed. Secondly, aiming at the lowest construction cost of DESS, the capacity allocation model of DESS is constructed. Then, the DESS location model and capacity allocation model are combined to form a DESS planning and configuration model, which is solved by gurobi. Finally, taking the improved IEEE33 node grid structure as an example, the effectiveness of the proposed planning and configuration method is verified.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775664
Primary Topic
Power Line Communications and Noise
Type
article
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Planning and configuration method for DESS considering DN losses

Zaifeng Li, Tiebin Guo, Yunjing Liu, Zhenxin Li et al.
Power Line Communications and Noise
article

Planning and configuration method for DESS considering DN losses

Zaifeng Li, Tiebin Guo, Yunjing Liu, Zhenxin Li, Yuming Wang, Xiaozhuo Guan
article en

Abstract

Distributed energy storage system (DESS) is the key way to improve the flexibility and stability of distribution network (DN) and promote the consumption of renewable energy. Aiming at the problem of location and capacity of the DESS connected to the DN, this paper proposes a planning and configuration method of the DESS considering the network losses of the DN. Firstly, aiming at minimizing the DN loss, a location model of energy storage system considering the DN losses are constructed. Secondly, aiming at the lowest construction cost of DESS, the capacity allocation model of DESS is constructed. Then, the DESS location model and capacity allocation model are combined to form a DESS planning and configuration model, which is solved by gurobi. Finally, taking the improved IEEE33 node grid structure as an example, the effectiveness of the proposed planning and configuration method is verified.

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Power Line Communications and Noise
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