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 and Lianxin Liu
Additional contact information
Ye Zhao: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Zhenhai Dou: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Zexu Yu: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Ruishuo Xie: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Mengmeng Qiao: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Yuanyuan Wang: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Lianxin Liu: School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China

Energies, 2022, vol. 15, issue 10, 1-18

Abstract: 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: combined cooling, heating and power (CCHP) system; demand response; two-stage optimal dispatch; algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/10/3500/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/10/3500/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:10:p:3500-:d:812591

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().