Real - time Optimization of Distributed Energy Storage System Operation Strategy Based on Peak Load Shifting

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Wang, Qian^1 ; Lu, Guangqi^2 ; Li, Xiaoyu^2 ; Zhang, Yichi^2 ; Yun, Zejian^2 ; Bian, Di^2

Electric Power Research Institute of Guangdong Power Grid Co Ltd. and China, Guangzhou, GUANGDONG

510080, China^1

College of Electrical Engineering, Northeast Electric Power University, Jilin

132012, China^2

关键词: Constraint conditions;    Distributed energy storage systems;    Distributed energy storages;    Dynamic programming methods;    Energy storage capacity;    Energy storage systems;    Peak load shifting;    Real-time optimization;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/5/052014/pdf
DOI  :  10.1088/1755-1315/108/5/052014

来源: IOP

【 摘 要 】

To take advantage of the energy storage system (ESS) sufficiently, the factors that the service life of the distributed energy storage system (DESS) and the load should be considered when establishing optimization model. To reduce the complexity of the load shifting of DESS in the solution procedure, the loss coefficient and the equal capacity ratio distribution principle were adopted in this paper. Firstly, the model was established considering the constraint conditions of the cycles, depth, power of the charge-discharge of the ESS, the typical daily load curves, as well. Then, dynamic programming method was used to real-time solve the model in which the difference of power Δs, the real-time revised energy storage capacity Sk and the permission error of depth of charge-discharge were introduced to optimize the solution process. The simulation results show that the optimized results was achieved when the load shifting in the load variance was not considered which means the charge-discharge of the energy storage system was not executed. In the meantime, the service life of the ESS would increase.