Distribution network electric vehicle hosting capacity enhancement using anoptimal power flow formulation

This thesis presents a method based on an optimal power flow (OPF) procedure to determine the maximum Hosting Capacity (HC) of Electric Vehicles (EV) that can be supported by a distribution network. With a focus on the injection control of reactive power, it is possible to maximize the penetration o...

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Autores:
Avila Rojas, Andrés Enrique
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/43761
Acceso en línea:
http://hdl.handle.net/1992/43761
Palabra clave:
Baterías eléctricas - Investigaciones
Estaciones de carga de batería (Vehículos eléctricos) - Investigaciones
Acumuladores - Investigaciones
Distribución de energía eléctrica - Investigaciones
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
Description
Summary:This thesis presents a method based on an optimal power flow (OPF) procedure to determine the maximum Hosting Capacity (HC) of Electric Vehicles (EV) that can be supported by a distribution network. With a focus on the injection control of reactive power, it is possible to maximize the penetration of EV. The presented method is based on linearized power flow equations, allowing a significant reduction in the computational processing times. Two comparisons are presented. The first one is between a non-linear and a linear optimal power flow (OPF) method. Second one, it is comparative analysis between legacy iterative (non-optimized) method of HC and the proposed method. It is applied in the IEEE 13 node test feeder circuit showing its effectiveness and acceptable performance. Results demonstrate that the implemented method enhance the HC measured against a legacy HC method, and decrease the computational time measures against non-linear optimization methods.