LAPSE:2023.12999
Published Article
LAPSE:2023.12999
Study on the Optimal Dispatching Strategy of a Combined Cooling, Heating and Electric Power System Based on Demand Response
Ye Zhao, Zhenhai Dou, Zexu Yu, Ruishuo Xie, Mengmeng Qiao, Yuanyuan Wang, Lianxin Liu
February 28, 2023
This paper proposes a combined cooling, heating and electric power (CCHP) system based on demand side response. In order to improve the economy of the system, a two-stage optimal scheduling scheme is proposed with the goal of minimizing the total operating cost of the system and maximizing user satisfaction. The optimal operation of the system was divided into two optimization problems, including the demand side and the supply side. In the first stage, combined with user satisfaction, from the new point of view that users are prone to excessive behavior due to time-of-use electricity prices, the cooling, heating and power load curves are optimized. In the second stage, an economic dispatch model that includes operating costs in terms of energy, maintenance and environment is established. An improved artificial bee colony (IABC) algorithm is used to solve the optimal energy production scheme based on the demand curves optimized in the first stage. Case studies are conducted to verify the efficiency of the proposed method. Compared with the CCHP system that does not consider demand response, this method reduced operation cost on typical days in summer and winter by 5.20% and 5.76%, respectively.
Keywords
Algorithms, combined cooling, heating and power (CCHP) system, demand response, two-stage optimal dispatch
Suggested Citation
Zhao Y, Dou Z, Yu Z, Xie R, Qiao M, Wang Y, Liu L. Study on the Optimal Dispatching Strategy of a Combined Cooling, Heating and Electric Power System Based on Demand Response. (2023). LAPSE:2023.12999
Author Affiliations
Zhao Y: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Dou Z: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China [ORCID]
Yu Z: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Xie R: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Qiao M: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Wang Y: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Liu L: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Journal Name
Energies
Volume
15
Issue
10
First Page
3500
Year
2022
Publication Date
2022-05-10
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15103500, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.12999
This Record
External Link

doi:10.3390/en15103500
Publisher Version
Download
Files
Feb 28, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
114
Version History
[v1] (Original Submission)
Feb 28, 2023
 
Verified by curator on
Feb 28, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.12999
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version