Optimal Dispatching Strategy of an Electric-Thermal-Gas Coupling Microgrid Considering Consumer Satisfaction

In recent years, with the rapid development of renewable energy, microgrid that behaves as a multi-energy coupling system, has attracted more and more attention. A growing trend needs to be concerned is that the relation among the electric power, thermal and gas in a microgrid system gets closer and...

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Bibliographic Details
Published inIEEE access Vol. 8; pp. 173169 - 173176
Main Authors Xu, Hailiang, Meng, Zhiyuan, Zhao, Rende, Wang, Yansong, Yan, Qingzeng
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Batteries
consumer satisfaction
Coupling
Couplings
Customer satisfaction
demand side response
Distributed generation
electric-thermal-gas coupling
Electrical loads
Electricity consumption
Electricity distribution
Heat recovery
Maintenance engineering
Mathematical model
Mathematical models
Microgrid
Microgrids
Optimization
Resistance heating
Strategy
Subsystems
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Summary:In recent years, with the rapid development of renewable energy, microgrid that behaves as a multi-energy coupling system, has attracted more and more attention. A growing trend needs to be concerned is that the relation among the electric power, thermal and gas in a microgrid system gets closer and closer, which could significantly affect the system dispatching. The existing research on microgrid dispatch mainly focuses on power and load coordination and improving the utilization rate of primary energy. However, there is some limit in the energy form independence and operation mode. Besides, some research had ignored the consumer electricity experience in load optimization. To settle such problem, a dispatching model based on a complicated electric-thermal-gas coupling microgrid is firstly proposed in this paper. Then the mathematical model of the subsystems in the microgrid is established, and the demand side response based on consumer satisfaction is employed to optimize the loads. Finally, the operation cost of the microgrid can be minimized by the proposed economic optimization strategy. Case studies were performed to verify the effectiveness of the proposed scheduling strategy.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3024931