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Publicações

Publicações por Filipe Joel Soares

2012

Impacts of Large-Scale Deployment of Electric Vehicles in the Electric Power System

Autores
Almeida, PMR; Soares, FJ; Lopes, JAP;

Publicação
Electric Vehicle Integration into Modern Power Networks

Abstract

2012

State of the Art on Different Types of Electric Vehicles

Autores
Soares, FJ; Almeida, PMR; Lopes, JAP; Garcia-Valle, R; Marra, F;

Publicação
Electric Vehicle Integration into Modern Power Networks

Abstract

2010

Evaluation of the impact of large scale integration of micro-generation units in low and medium voltage distribution networks

Autores
Pereira Barbeiro, PN; Moreira, CL; Soares, FJ; Rocha Almeida, PM;

Publicação
2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply, CITRES 2010

Abstract
This paper presents a methodology for evaluating the impact resulting from the expected large scale integration of micro-generation (µG) in Low Voltage (LV) grids in Portugal. The proposed methodology allows the evaluation of the impacts in the entire LV and Medium Voltage (MV) distribution network by using typical load and generation profiles (24 hours) representing two well defined year periods (Summer and Winter). The simulations were performed in a time interval from 2008 to 2030, upon the definition of future scenarios related to the expected µG installed power in Portugal in the same period. Based on the obtained results, it was possible to quantify percentage gains related to the reduction of energy losses as a result of µ G integration in LV networks, avoided CO2 emissions and the possibility of achieving investment deferrals due to branches' congestion levels reduction or voltage profile improvements. ©2010 IEEE.

2011

A stochastic model to simulate electric vehicles motion and quantify the energy required from the grid

Autores
Soares, FJ; Peças Lopes, JA; Rocha Almeida, PM; Moreira, CL; Seca, L;

Publicação
17th Power Systems Computation Conference, PSCC 2011

Abstract
The uncertainties related to when and where electric vehicles will charge in the future requires the development of stochastic based approaches to identify the corresponding load scenarios. This paper describes a tool based on Monte Carlo techniques to be used for distribution grid planning, providing a characterization of possible grid operation conditions, regarding voltage profiles, branch loading, grid peak power and energy losses. A medium voltage network based on real data is used to illustrate the application of the developed methodology.

2010

Electric vehicles in isolated power systems: Conceptual framework and contributions to improve the grid resilience

Autores
Lopes, JAP; Almeida, PMR; Soares, FJ; Moreira, CL;

Publicação
IFAC Proceedings Volumes (IFAC-PapersOnline)

Abstract
This paper presents a conceptual framework to enable a successful integration of Electric Vehicles (EV) into isolated power systems. The developed framework includes the management and control actions that might be implemented over EV in order to improve the system's resilience. Several dynamic stability simulations were performed, using a small isolated grid as a test system, in order to demonstrate the possible contributions EV may provide to fast power/frequency control, either as a highly flexible and controllable load and/or as an energy storage device.

2011

Integration of Electric Vehicles in the Electric Power System

Autores
Pecas Lopes, JAP; Soares, FJ; Rocha Almeida, PMR;

Publicação
PROCEEDINGS OF THE IEEE

Abstract
This paper presents a conceptual framework to successfully integrate electric vehicles into electric power systems. The proposed framework covers two different domains: the grid technical operation and the electricity markets environment. All the players involved in both these processes, as well as their activities, are described in detail. Additionally, several simulations are presented in order to illustrate the potential impacts/benefits arising from the electric vehicles grid integration under the referred framework, comprising steady-state and dynamic behavior analysis.

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