Methodology to Determine the Management of Demand in Recharging Electric Vehicles in Vertically Integrated Markets Includes Photovoltaic Solar Generation

Marco Toledo-Orozco, Luis Martinez, Hernán Quito, Flavio Quizhpi, Carlos Álvarez-Bel and Diego Morales
Additional contact information
Marco Toledo-Orozco: Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain
Luis Martinez: Electrical Engineering Career, Universidad Politécnica Salesiana, Cuenca 010103, Ecuador
Hernán Quito: Electrical Engineering Career, Universidad Politécnica Salesiana, Cuenca 010103, Ecuador
Flavio Quizhpi: Electrical Engineering Career, Universidad Politécnica Salesiana, Cuenca 010103, Ecuador
Carlos Álvarez-Bel: Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera, 46022 Valencia, Spain
Diego Morales: Electrical Engineering Career, Circular Economy Laboratory-CIITT, Universidad Católica de Cuenca, Cuenca 010107, Ecuador

Energies, 2022, vol. 15, issue 24, 1-23

Abstract: The high penetration of photovoltaic solar generation and electric vehicles in developing countries and with vertically integrated electricity markets with restrictive regulatory policies enhance demand management and the participation of prosumers in optimizing their resources. In this sense, the research presents a demand management methodology based on the prosumer model for recharging electric vehicles through optimization based on linear programming to minimize recharging costs, considering the stochasticity of the solar radiation variables, vehicular mobility patterns, consumer preferences, and optimal location of charging stations through surveys and predictive tools such as PVsyst and GAMS, in such a way that the energy demand for recharging electric vehicles is met. This way, the methodology reduces power demand peaks and mitigates the economic and technical impact on distribution networks. This case study has been modelled with real information from electric vehicles, distribution networks, and surveys in Cuenca, Ecuador.

Keywords: demand management; electric vehicles; electricity market; optimization; photovoltaic solar energy (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:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/24/9590/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/24/9590/ (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:24:p:9590-:d:1006504

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 ().