Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory
Comprehensive Utilization of Energy|更新时间: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.”
Power Generation TechnologyVol. 45, Issue 4, Pages: 651-665(2024)
ZHAO Zhenyu,BAO Geriletu,LI Xinxin.Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory[J].Power Generation Technology,2024,45(04):651-665.
ZHAO Zhenyu,BAO Geriletu,LI Xinxin.Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory[J].Power Generation Technology,2024,45(04):651-665. DOI: 10.12096/j.2096-4528.pgt.24021.
Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory