ORIGINAL RESEARCH
Optimization and Scheduling of Heat Pump Energy
Storage Coupling System Considering Carbon
Certification Synergy and Response Characteristics
More details
Hide details
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
KEYWORDS
TOPICS
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.