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Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory
Power Generation Technology Vol. 45, Issue 4, Pages: 651-665(2024)
Comprehensive Utilization of Energy|Updated：2025-06-15
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Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory
- “Progress has been made in the research of low-carbon optimization strategies for integrated energy systems, and experts have constructed an optimization scheduling model based on information gap decision-making theory, providing solutions for achieving low-carbon, economic, and stable operation of the system.”
DOI：10.12096/j.2096-4528.pgt.24021
Revised：2024-05-10
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Related Author
ZHANG Chunyan
WEI Yan
LI Jia
JIANG Keyu
KONG Weiming
DOU Zhenlan
LI Jinjian
DAI Linhao
Related Institution
Institute of Energy Power Innovation, North China Electric Power University, Changping District
State Grid Shanghai Municipal Electric Power Company, Huangpu District
Office of Discipline Construction, North China Electric Power University, Changping District
College of Electrical and Information Engineering, Lanzhou University of Technology
Faculty of Electrical Engineering, Northeast Electric Power University
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