Coordinated recharge of electric vehicles in real time
The electric vehicle is a transportation technology that requires a management system for the electric networks of the future in order to avoid overloads and adverse effects on voltage level and power quality. This article presents a management algorithm to adjust the operation and recharge conditio...
- Autores:
-
Mendoza, Cristian C.
Quintero, Adriana M.
Santamaría, Francisco
Alarcon, Alexander
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60537
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60537
http://bdigital.unal.edu.co/58869/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Electric vehicle
management algorithm
recharge coordination
selection of maximum sensitivities
sensitivity ranges
voltage level
power losses
maximum capacity.
Vehículo Eléctrico
Algoritmo de gestión
recarga coordinada
selección de sensibilidades máximas
rango de sensibilidades
nivel de voltaje
pérdidas de potencia
capacidad máxima.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
Summary: | The electric vehicle is a transportation technology that requires a management system for the electric networks of the future in order to avoid overloads and adverse effects on voltage level and power quality. This article presents a management algorithm to adjust the operation and recharge conditions of electric vehicles in real time, optimizing the use of network capacity and improving the voltage profile through the coordination of recharges depending on loss sensitivity; an approach to identify nodes where power losses can decrease or increase under a specific load condition. The results obtained by applying the strategy are presented through a random consumption model of vehicles based on existing mobility patterns using a distribution circuit of 628 nodes. This allows the identification of electric vehicle penetration after which it becomes necessary to implement the proposed management scheme. |
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