A Two-Stage Optimal Dispatch Strategy for Electric-Thermal-Hydrogen Integrated Energy System Based on IGDT and Fuzzy Chance-Constrained Programming

To address the economic and reliability challenges of high-penetration renewable energy integration in electricity-heat-hydrogen integrated energy systems and support the dual-carbon strategy, this paper proposes an optimal dispatch method integrating Information Gap Decision Theory (IGDT) and Fuzzy...

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Veröffentlicht in:Energies (Basel) Jg. 18; H. 22; S. 5927
Hauptverfasser: Sun, Na, He, Hongxu, Dong, Haiying
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.11.2025
Schlagworte:
Air quality management
Alternative energy sources
carbon trading
Coal-fired power plants
Decision-making
electric-hydrogen hybrid energy storage
Force and energy
fuzzy chance-constrained programming
Hydrogen
information gap decision theory
integrated energy system
Natural gas
optimal dispatch
Prices and rates
Renewable resources
United States > US
ISSN:1996-1073, 1996-1073
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Zusammenfassung:To address the economic and reliability challenges of high-penetration renewable energy integration in electricity-heat-hydrogen integrated energy systems and support the dual-carbon strategy, this paper proposes an optimal dispatch method integrating Information Gap Decision Theory (IGDT) and Fuzzy Chance-Constrained Programming (FCCP). An IES model coupling multiple energy components was constructed to exploit multi-energy complementarity. A stepped carbon trading mechanism was introduced to quantify emission costs. For interval uncertainties in renewable generation, IGDT-based robust and opportunistic dispatch models were established; for fuzzy load uncertainties, FCCP transformed them into deterministic equivalents, forming a dual-layer “IGDT-FCCP” uncertainty handling framework. Simulation using CPLEX demonstrated that the proposed model dynamically adjusts uncertainty tolerance and confidence levels, effectively balancing economy, robustness, and low-carbon performance under complex uncertainties: reducing total costs by 12.7%, cutting carbon emissions by 28.1%, and lowering renewable curtailment to 1.8%. This study provides an advanced decision-making paradigm for low-carbon resilient IES.
Bibliographie:ObjectType-Article-1
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ISSN:1996-1073
1996-1073
DOI:10.3390/en18225927