A Novel Evolving Framework for Energy Management in Combined Heat and Electricity Systems with Demand Response Programs

Ting Chen, Lei Gan, Sheeraz Iqbal (), Marek Jasiński, Mohammed A. El-Meligy, Mohamed Sharaf and Samia G. Ali
Additional contact information
Ting Chen: Department of Electric Power Engineering, Fujian Vocational & Technical College of Water Conservancy & Electric Power, Yong’an 366000, China
Lei Gan: State Grid Hubei Shiyan Power Supply Company, Shiyan 442000, China
Sheeraz Iqbal: Department of Electrical Engineering, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan
Marek Jasiński: WWSIS “Horyzont”, 54-239 Wrocław, Poland
Mohammed A. El-Meligy: Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
Mohamed Sharaf: Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
Samia G. Ali: Department of Electrical Power and Machines, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt

Sustainability, 2023, vol. 15, issue 13, 1-23

Abstract: In recent years, demand response programs (DRPs) have become an effective method of encouraging users to participate in energy system operations. The problem of optimal energy flow (OEF) is a complex challenge in multiple power systems. Accordingly, this study aims to propose a novel evolving framework for optimal OEF operation of an electricity, heat, and gas integrating system, taking into account flexible heat and electricity demands. To this end, a switching idea between input energy carriers has been introduced to combine the traditional DRP with demand-side energy supply management. Switching between the feeding energy carriers could change how power is supplied to the end users and thus would affect the total cost of the grid. Operators of integrated systems minimize the operational costs associated with supplying flexible power to users in this study. Considering the high nonlinearity of the problem, a novel optimization algorithm is presented for solving the complex OEF based on the improved teaching–learning-based optimization algorithm (ITLBOA). According to the outcomes, flexible DRP reduces operational prices and smooths power demand curves for power and heating networks.

Keywords: demand response; optimum power flow; improved teaching–learning optimization; heat and electrical demands; combined heat and electricity systems (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/13/10481/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/13/10481/ (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:jsusta:v:15:y:2023:i:13:p:10481-:d:1186007

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

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