ORIGINAL RESEARCH
Optimization and Scheduling of Heat Pump Energy Storage Coupling System Considering Carbon Certification Synergy and Response Characteristics
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Yan Liang 2,3
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1
College of Economics and Management, Beijing University of Technology, Chaoyang Beijing, 100124, China
 
2
School of Electrical and Electronic Engineering, North China Electric Power University, Changping Beijing, 102206, China
 
3
Economic and Technical Research Institute of Shanxi Electrical Power Company of SGCC, Taiyuan, 030000, China
 
4
School of Economics and Management, North China Electric Power University, Changping Beijing, 102206, China
 
 
Submission date: 2024-10-24
 
 
Final revision date: 2024-12-19
 
 
Acceptance date: 2025-01-17
 
 
Online publication date: 2025-04-10
 
 
Corresponding author
Junyao Shen   

School of Economics and Management, North China Electric Power University, Changping Beijing, 102206, China
 
 
 
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ABSTRACT
In order to solve the problems of low energy cascade utilization degree, insufficient analysis of response characteristics of equipment differentiation, and prominent low-carbon demand in the integrated energy system, this paper researches the optimization scheduling of heat pump energy storage coupling systems considering carbon certification synergy and response characteristics. Firstly, a system operation framework and mathematical model were constructed using the heat pump energy storage coupling system as the research object. Secondly, a carbon certification collaborative mechanism was designed, and the uncertainties in the coupled system were decomposed based on the CEEMDAN-IIR method to match the response characteristics of the equipment. Thirdly, a coupled system operation optimization model was constructed to minimize the total system cost and maximize new energy consumption. Finally, an empirical analysis was conducted to verify the model’s effectiveness using a certain coupled system as an example. The results of the example show that: 1) The heat pump energy storage coupling system can reduce operating costs by 22.5% compared to other systems; 2) Compared with the carbon certificate collaborative mechanism, a single carbon trading mechanism increases carbon dioxide emissions by 20.48 kg and reduces the new energy consumption rate by 1.32%; 3) Compared with the EMD algorithm and EEMD algorithm, the CEEMDAN-IIR method can more effectively suppress false modes, and improve the stability and accuracy of decomposition.
eISSN:2083-5906
ISSN:1230-1485
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