Open AccessOptimal Energy Dispatch of Integrated Electricity Substation Considering the Operational Uncertainties in an Edge-Cloud Environment
Author(s) -
Zhihua Cheng,
Honggang Wang,
Chun Yang,
Xin Ji,
Xiaolong Zhao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/2/022048
Subject(s) - turbine , renewable energy , energy storage , scheduling (production processes) , economic dispatch , robustness (evolution) , electricity , computer science , electric power system , wind power , engineering , cloud computing , automotive engineering , reliability engineering , power (physics) , electrical engineering , mechanical engineering , physics , quantum mechanics , operating system , operations management , biochemistry , chemistry , gene
Along with the increasing challenge of optimal energy dispatch in an integrated electric power substation, this work presents a model to construct a typical substation system. Based on the solution framework of model predictive control, the joint scheduling problem of stochastic renewable energy and battery energy storage in the substation is effectively solved. Through the substation optimal operation model, the economic operation of the substation is realized. At the same time, the randomness and robustness of the model are studied through simulation It only includes wind turbine, gas turbine, battery energy storage and other equipment, but the scheduling model can be easily extended to more complex substation system with more distributed energy.