Edge‐cloud collaborative architecture based multi‐time scales rolling optimization of regional integrated electrical and natural gas energy system considering wind power uncertainty

Edge‐cloud collaborative architecture based multi‐time scales rolling optimization of regional integrated electrical and natural gas energy system considering wind power uncertainty

Abstract With the serious energy crisis and speedy development of natural gas utilization, regional integrated electrical and gas energy system is an efficient way to improve energy potency. This paper studies the energy scheduling of integrated electrical and gas energy system with bi‐directional e...

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Bibliographic Details
Main Authors: Zhiao Cao, Qiang Zhao, Jia Wang, Jinkuan Wang, Yinghua Han
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:IET Generation, Transmission & Distribution
Subjects:
Wind power plants
Optimisation techniques
Power system management, operation and economics
Distribution networks
Power engineering computing
Online Access:https://doi.org/10.1049/gtd2.12208

Internet

https://doi.org/10.1049/gtd2.12208

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