Open AccessOperation Strategy Optimization of Energy Storage Power Station Based on multi-Station Integration
Author(s) -
XU Wen-bo,
Qiang Li,
Jing Chen,
Fang Yuan,
Zhiyong Bai,
Zongze Yu,
Miao Changhai,
Hsi-Pin Ma
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/571/1/012032
Subject(s) - energy storage , computer science , power station , particle swarm optimization , power (physics) , electricity , energy (signal processing) , database transaction , mathematical optimization , real time computing , electrical engineering , engineering , algorithm , mathematics , database , statistics , physics , quantum mechanics
In the multi-station integration scenario, energy storage power stations need to be used efficiently to improve the economics of the project. In this paper, the life model of the energy storage power station, the load model of the edge data center and charging station, and the energy storage transaction model are constructed. Using the two-layer optimization method and the particle swarm optimization algorithm, it is proposed that the energy storage power station play a role in the integration of multiple stations Optimal operation strategy algorithm in a complex scenario with multiple functions. It is concluded that in a continuous period group with the same electricity price, the energy storage power station is charged and discharged at the same rate as the best operation strategy; the optimal operation strategy is determined by various factors such as time-of-use electricity price, battery life characteristics, and load characteristics of multiple stations in adjacent time groups.