Considering the Life-Cycle Cost of Distributed Energy-Storage Planning in Distribution Grids

被引:14
|
作者
Xu, Tao [1 ]
Meng, He [1 ]
Zhu, Jie [2 ]
Wei, Wei [1 ]
Zhao, He [2 ]
Yang, Han [1 ]
Li, Zijin [2 ]
Ren, Yi [1 ]
机构
[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China
[2] State Grid Beijing Elect Power Res Inst, Beijing 100031, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2018年 / 8卷 / 12期
关键词
distributed renewable energy resources; distributed energy storage system; genetic algorithm; simulated annealing; life-cycle cost; INTEGRATION; ALGORITHM; PV;
D O I
10.3390/app8122615
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In the face of the radical revolution of energy systems, there is a gradually held consensus regarding the adoption of distributed renewable energy resources, represented by Photovoltaic (PV) and wind generation. Consequently, the distributed Energy Storage Systems (ESSs) have become increasingly important in the distribution networks, as they provide the arbitrage and ancillary services. Determining the optimal installation site and the capacity of the distributed ESSs will defer the network reinforcements, reduce the investment of ESSs, and improve the reliability, flexibility, and efficiency of distribution grids. In order to investigate the optimal ESS configuration and to solve voltage fluctuations brought by the increased penetration of PV, in this study a two-stage heuristic planning strategy has been proposed, which considers both the economic operation and the lifetime of the distributed ESSs, to determine the optimal sitting and sizing of the ESSs, in the distribution grids. The first stage decides the optimal installation site and the economic scheduling of the ESSs, aiming to minimize the fabricating cost of the distributed ESSs and the network losses. Based on the output of the first stage, the second stage planning is further delivered to achieve the optimal ESS capacity, considering the Life-Cycle Cost (LCC) minimization. Finally, the feasibility and effectiveness of the proposed method is verified on a typical distribution case study network.
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收藏
页数:23
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