Exploiting the Flexibility of District Heating System for Distribution System Operation: Set-Based Characterization and Temporal Decomposition

The proliferation of distributed renewable resources increases the uncertainty in distribution systems. Coupling the distribution system and district heating system helps leverage the flexibility of thermal storage and thus supports the operation of the electrical grid. This paper proposes a method...

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Veröffentlicht in:IEEE transactions on sustainable energy Jg. 16; H. 1; S. 227 - 241
Hauptverfasser: Chen, Weitao, Wang, Xiaojun, Wei, Wei, Xu, Yin, Wu, Jianzhong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Distribution system
District heating
Electrical properties
Energy storage
Feasibility
Flexibility
Heat pumps
Heating
heating system
Heating systems
Optimization
polyhedral projection
Real time
Renewable energy sources
Renewable resources
Robustness
Storage units
Sustainable yield
temporal decomposition
Thermal energy
thermal energy storage
Thermal storage
Thermodynamic properties
Uncertainty
ISSN:1949-3029, 1949-3037
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Zusammenfassung:The proliferation of distributed renewable resources increases the uncertainty in distribution systems. Coupling the distribution system and district heating system helps leverage the flexibility of thermal storage and thus supports the operation of the electrical grid. This paper proposes a method to characterize flexibility from district heating system via polyhedral sets. First, a recursive robust feasibility condition that ensures heat supply adequacy under uncertain demand is established. Then, stagewise robust feasible sets of thermal storage levels are calculated using a customized projection algorithm. Finally, dynamic bounds of electric heaters are computed by a further projection step. With those dynamic bounds, the electric heaters behave like reducible loads, and the demands in each period are decoupled over time, although the dispatch of thermal storage units must comply with inter-temporal constraints. The proposed method allows the two coupled systems to be operated in a distributed way without forecasts and extensive communications. Numerical simulations on small and practically sized testing systems validate the advantage of the proposed method. On average, the set calculation takes about 8 minutes for the day-ahead problem and 11 seconds for real-time dispatch on a portable laptop, and the prediction-free operation policy has an average optimality gap of 3.6% compared to the hindsight optimum.
Bibliographie:ObjectType-Article-1
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ISSN:1949-3029
1949-3037
DOI:10.1109/TSTE.2024.3452560