Joint Planning Of Energy Storage and Transmission Considering Wind-Storage Combined System and Demand Side Response

2017 International Conference on Environmental, Industrial and Energy Engineering

生态环境科学;工业技术;能源学

Huang, Y.^1 ; Liu, B.Z.^1 ; Wang, K.Y.^1 ; Ai, X.^1

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

102206, China^1

关键词: Comprehensive benefit;    Constraint conditions;    Demand side response;    Energy storage systems;    Mixed integer linear programming model;    Objective functions;    Optimization software;    Transmission network planning;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/104/1/012004/pdf
DOI  :  10.1088/1755-1315/104/1/012004

来源: IOP

【 摘 要 】

In response to the new requirements of the operation mode of wind-storage combined system and demand side response for transmission network planning, this paper presents a joint planning of energy storage and transmission considering wind-storage combined system and demand side response. Firstly, the charge-discharge strategy of energy storage system equipped at the outlet of wind farm and demand side response strategy are analysed to achieve the best comprehensive benefits through the coordination of the two. Secondly, in the general transmission network planning model with wind power, both energy storage cost and demand side response cost are added to the objective function. Not only energy storage operation constraints and but also demand side response constraints are introduced into the constraint condition. Based on the classical formulation of TEP, a new formulation is developed considering the simultaneous addition of the charge-discharge strategy of energy storage system equipped at the outlet of the wind farm and demand side response strategy, which belongs to a typical mixed integer linear programming model that can be solved by mature optimization software. The case study based on the Garver-6 bus system shows that the validity of the proposed model is verified by comparison with general transmission network planning model. Furthermore, the results demonstrate that the joint planning model can gain more economic benefits through setting up different cases.