Interval optimal scheduling of integrated electricity and district heating systems considering dynamic characteristics of heating network

Coordinated operation of integrated electricity and district heating system (IEDHS) has great potential to enhance the flexibility of the power system to cope with the wind power curtailment. This study proposes an interval optimal scheduling algorithm for IEDHSs, considering the dynamic characteris...

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Veröffentlicht in:Energy systems integration Jg. 2; H. 3; S. 179 - 186
Hauptverfasser: Chen, Houhe, Zhang, Ting, Zhang, Rufeng, Jiang, Tao, Li, Xue, Li, Guoqing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Tianjin The Institution of Engineering and Technology 01.09.2020
John Wiley & Sons, Inc
Schlagworte:
12‐node district heating system
6‐node district heating system
Algorithms
Alternative energy sources
Cooling
Cost analysis
District heating
district heating systems
Dynamic characteristics
dynamic characteristics including transmission delay
Efficiency
Electricity
Energy storage
Heat
heat losses
Heating
Heating load
heating loads
heating network
Heating systems
IEDHS operation cost
IEEE 39‐bus electricity system
Integrated approach
integrated electricity
interval optimal scheduling algorithm
interval optimal scheduling model
load flow
optimisation
PJM 5‐bus electricity system
power markets
power system
Probability distribution
Random variables
Renewable resources
Reserve requirements
Scheduling
Supply chains
Water temperature
Wind farms
Wind power
wind power curtailment
wind power plants
ISSN:2516-8401, 2516-8401
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Zusammenfassung:Coordinated operation of integrated electricity and district heating system (IEDHS) has great potential to enhance the flexibility of the power system to cope with the wind power curtailment. This study proposes an interval optimal scheduling algorithm for IEDHSs, considering the dynamic characteristics of the heating network. The model of the district heating system with dynamic characteristics including transmission delay and heat losses, is established in detail, and the uncertainties of both wind power and electricity and heating loads are described with interval numbers. Then an interval optimal scheduling model of the IEDHS is formulated to minimise the IEDHS operation cost. The impacts of the transmission delay and heat losses of the heating network on the scheduling of the IEDHS are analysed. Case studies are performed on the PJM 5‐bus electricity system with a 6‐node district heating system and IEEE 39‐bus electricity system with a 12‐node district heating system to evaluate the effectiveness of the proposed model. The results demonstrate that the dynamic characteristics of the heating network can integrate more wind power and enlarge the width of the cost interval.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2516-8401
2516-8401
DOI:10.1049/iet-esi.2019.0046