Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches

Emely Cruz- De-Jesús (), Jose L. Martínez-Ramos and Alejandro Marano-Marcolini
Additional contact information
Emely Cruz- De-Jesús: AICIA (Andalusian Association for Research and Industrial Cooperation), 41092 Seville, Spain
Jose L. Martínez-Ramos: Department of Electrical Engineering, Universidad de Sevilla, 41092 Seville, Spain
Alejandro Marano-Marcolini: Department of Electrical Engineering, Universidad de Sevilla, 41092 Seville, Spain

Energies, 2022, vol. 16, issue 1, 1-15

Abstract: In recent years, there has been a growing interest in the study of energy communities. This new definition refers to a community sharing energy resources of different types to meet its needs and reduce the associated costs. Optimization is one of the most widely used techniques for scheduling the operation of an energy community. In this study, we extensively reviewed the mathematical models used depending on the objectives and constraints considered. The models were also classified according to whether they address uncertainty and the inclusion of flexibility constraints. The main contribution of this study is the analysis of the most recent research on the mathematical formulation of optimization models for optimal scheduling of resources in energy communities. The results show that the most commonly used objectives are profit maximization and cost minimization. Additionally, in almost all cases, photovoltaic generation is one of the main energy sources. Electricity prices, renewable generation, and energy demand are sources of uncertainty that have been modeled using stochastic and robust optimization. Flexibility services using demand response are often modeled using interruptible loads and shiftable loads. There is still considerable room for further research on the distribution of benefits among the participants of the energy community and the provision of flexibility services to the electricity grid.

Keywords: energy communities; optimization techniques; optimal scheduling (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 (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/1/101/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/1/101/ (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:16:y:2022:i:1:p:101-:d:1010944

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 ().