The optimal deployment model of energy storage systems considering large-scale wind farms connected

2018 2nd International Conference on Environmental and Energy Engineering

生态环境科学;能源学

Yan, T.^1 ; Zhang, M.X.^1 ; Song, X.F.^2 ; Liu, B.Z.^3 ; Huang, Y.^3

State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems, Haidian District Beijing

100192, China^1

State Grid Xinjiang Electric Power Company, Economic Research Institute, Urumqi

830011, China^2

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing

102206, China^3

关键词: Case-studies;    Commercial software;    Energy storage systems;    Large-scale wind farms;    Large-scale wind power;    Optimal deployment;    Storage planning;    Wind power curtailments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/146/1/012065/pdf
DOI  :  10.1088/1755-1315/146/1/012065

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity.