Open AccessResearch on Key Technologies of Data Collection for Energy Storage Power Station Based on “Multi-Station Fusion”
Author(s) -
Peng Wang,
Jinsong Yang,
Jing Chen,
Ruixiang Guo,
Yang Desheng,
Zheng Guo
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 - 10.1088/1755-1315/571/1/012040
Subject(s) - data collection , power station , key (lock) , computer science , energy storage , data management , power (physics) , computer data storage , object (grammar) , information repository , systems engineering , database , engineering , electrical engineering , computer hardware , operating system , statistics , physics , mathematics , quantum mechanics , artificial intelligence
In view of the current situation of energy storage power station management and data collection, this topic takes the data collection of energy storage power station as the main research object. By analyzing the problems of localized management and inconsistent data collection standards of energy storage power station, an efficient and accurate data collection and lean management mode is explored. It lays a foundation for promoting the construction of “Multi-Station fusion” and provides technical support for the management decision-making of “Multi-Station fusion”.