What impact will the journey patterns of electric vehicles have on their capability to provide ancillary services?

2014 ◽  
Author(s):  
B. Gough ◽  
P. Rowley ◽  
C. Walsh
Keyword(s):  
Electric Vehicles ◽  
Ancillary Services

scholarly journals Optimal Design of a Diesel-PV-Wind-Battery-Hydro Pumped POWER system with the Integration of ELECTRIC vehicles in a Colombian Community

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4542 ◽  
Author(s):  
Semaria Ruiz ◽  
Julian Patiño ◽  
Alejandro Marquez-Ruiz ◽  
Jairo Espinosa ◽  
Eduardo Duque ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Public Transportation ◽  
Design Methodology ◽  
Storage Systems ◽  
Ancillary Services ◽  
Design Stage ◽  
Hybrid Microgrid ◽  
Rural Environments ◽  
Charging Mode ◽  
Novel Design

This article proposes a novel design methodology for hybrid isolated microgrids, integrating electric vehicles (EV) as additional loads and also as additional storage systems in the microgrid design stage. The proposed method highlights the application of electric vehicles in rural environments. Two types of electric vehicles were considered: (1) EV that only operate in charging mode; and (2) EV that can interchange power with the microgrid (V2G). For both EV types, a dispatch strategy was developed to optimize the use of the system resources during the charging process. As an application example of the proposed design methodology, a hybrid microgrid was designed for the rural Colombian village of Unguía. The results show the advantages of the inclusion of EV as ancillary services providers for the system and also as public transportation agents.

Overview of plug-in electric vehicles as providers of ancillary services

2015 ◽  
Author(s):  
Eva Gonzalez-Romera ◽  
Fermin Barrero-Gonzalez ◽  
Enrique Romero-Cadaval ◽  
M. Isabel Milanes-Montero
Keyword(s):  
Electric Vehicles ◽  
Ancillary Services

scholarly journals Improved Control Strategy for Three-Phase Microgrid Management with Electric Vehicles Using Multi Objective Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1146
Author(s):  
Muhammad Shahab ◽  
Shaorong Wang ◽  
Abdul Khalique Junejo
Keyword(s):  
Low Power ◽  
Electric Vehicles ◽  
Power Factor ◽  
Control Strategy ◽  
Ancillary Services ◽  
Dynamic Programming Method ◽  
High Peak Power ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Three Phase

The usage of electric vehicles (EV) have been spreading worldwide, not only as an alternative to achieve a low-carbon future but also to provide ancillary services to improve the power system reliability. A common problem encountered in the existing alternating current (AC) grids is low power factor, which cause several power quality problems and has worsened with the growing application of distributed generation (DG). Therefore, considering the spread of EVs usage for ancillary services and the low power factor issue in current electrical grids, this paper proposes an improved control strategy for power factor correction of a three-phase microgrid management composed of a photovoltaic (PV) array, dynamic loads, and an EV parking lot. This control strategy aims to support power factor issues using the EV charging stations, allowing the full PV generation. Different operation modes are proposed to fulfill the microgrid and the EV users’ requirements, characterizing a Multi Objective Optimization (MOO) approach. In order to achieve these optimization requests, a dynamic programming method is used to charge the vehicle while adjusting the microgrid power factor. The proposed control algorithm is verified in different scenarios, and its results indicate a suitable performance for the microgrid even during conditions of overload and high peak power surplus in generation unit. The microgrid power factor remains above the desired reference during the entire analyzed period, in which the error is approximately 4.5 less than the system without vehicles, as well as obtains an energy price reduction.

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