Demand Response Programs in Multi-Energy Systems: A Review

Morteza Vahid-Ghavidel, Mohammad Sadegh Javadi, Matthew Gough, Sérgio F. Santos, Miadreza Shafie-khah and João P.S. Catalão
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Morteza Vahid-Ghavidel: Faculty of Engineering, University of Porto (FEUP), 4200-465 Porto, Portugal
Mohammad Sadegh Javadi: Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal
Matthew Gough: Faculty of Engineering, University of Porto (FEUP), 4200-465 Porto, Portugal
Sérgio F. Santos: Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal
Miadreza Shafie-khah: School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland
João P.S. Catalão: Faculty of Engineering, University of Porto (FEUP), 4200-465 Porto, Portugal

Energies, 2020, vol. 13, issue 17, 1-17

Abstract: A key challenge for future energy systems is how to minimize the effects of employing demand response (DR) programs on the consumer. There exists a diverse range of consumers with a variety of types of loads, such as must-run loads, and this can reduce the impact of consumer participation in DR programs. Multi-energy systems (MES) can solve this issue and have the capability to reduce any discomfort faced by all types of consumers who are willing to participate in the DRPs. In this paper, the most recent implementations of DR frameworks in the MESs are comprehensively reviewed. The DR modelling approach in such energy systems is investigated and the main contributions of each of these works are included. Notably, the amount of research in MES has rapidly increased in recent years. The majority of the reviewed works consider power, heat and gas systems within the MES. Over three-quarters of the papers investigated consider some form of energy storage system, which shows how important having efficient, cost-effective and reliable energy storage systems will be in the future. In addition, a vast majority of the works also considered some form of demand response programs in their model. This points to the need to make participating in the energy market easier for consumers, as well as the importance of good communication between generators, system operators, and consumers. Moreover, the emerging topics within the area of MES are investigated using a bibliometric analysis to provide insight to other researchers in this area.

Keywords: demand response; electricity; energy hub; energy management; gas; multi-carrier; optimization; smart grid (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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