LAPSE

LAPSE:2019.0514
Published Article
LAPSE:2019.0514
Robust Scheduling Optimization Model for Multi-Energy Interdependent System Based on Energy Storage Technology and Ground-Source Heat Pump
Zhongfu Tan, Hongwu Guo, Hongyu Lin, Qingkun Tan, Shenbo Yang, De Gejirifu, Liwei Ju, Xueying Song
April 15, 2019
The energy consumed by buildings makes up a significant part of total social energy consumption. The energy use rate of the traditional cooling and heating unit is low. A distributed cooling, heating, and power (CHP) system can achieve cascade use of energy and reduce the long-distance transportation of energy. Along with the wide use of ground-source heat pumps and energy storage technology, the combined cooling, heating, and power (CCHP) system coupled with a ground-source heat pump and energy storage technology is increasingly being used. Firstly, we proposed the construction of a CCHP system driven by distributed energy resources (DERs) including three subsystems of an electricity subsystem, a CCHP subsystem and an auxiliary heating subsystem as the object of study in this paper. Besides, with the goals of reducing carbon emissions, increasing energy efficiency, and minimizing system cost, a constraint mechanism based on the DOM-PSO (dynamic object method/particle swarm optimization) algorithm was applied. Finally, taking Tianjin Eco-City as an example, we used the PSO algorithm to analyze the operating characteristics of the cold and power cogeneration system under the uncertainty of the wind power output. The simulation results show that the joint optimization mode operation strategy can balance the results of different optimization modes by increasing the robust coefficient of wind power. Of all scenarios examined, the CCHP system coupled with the ground-source heat pump and energy storage technology performed best.
Keywords
distributed energy, Energy Storage, ground-source heat pump, PSO algorithm, robust scheduling optimization
Suggested Citation
Tan Z, Guo H, Lin H, Tan Q, Yang S, Gejirifu D, Ju L, Song X. Robust Scheduling Optimization Model for Multi-Energy Interdependent System Based on Energy Storage Technology and Ground-Source Heat Pump. (2019). LAPSE:2019.0514
Author Affiliations
Tan Z: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Guo H: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Lin H: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Tan Q: School of Economics and Management, North China Electric Power University, Beijing 102206, China [ORCID]
Yang S: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Gejirifu D: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Ju L: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Song X: School of Economics and Management, North China Electric Power University, Beijing 102206, China
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Journal Name
Processes
Volume
7
Issue
1
Article Number
E27
Year
2019
Publication Date
2019-01-08
Published Version
ISSN
2227-9717
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PII: pr7010027, Publication Type: Journal Article
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LAPSE:2019.0514
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doi:10.3390/pr7010027
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Apr 15, 2019
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CC BY 4.0
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Apr 15, 2019
 
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Calvin Tsay
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