Última modificação: Sexta-feira, 29 de janeiro de 2021

Electrical Engineering Graduate Program – Association between UFSJ & CEFET-MG


The goal of PPGEL (Electrical Engineering Graduate Program) is to train world-class professionals in Electrical Engineering field capable of producing, transforming and disseminating scientific and technological knowledge. PPGEL shall allow its students to develop their ability to perform research in the “Electric Power Systems”, and “Systems Modelling and Control” fields, implicating a mandatory execution of a dissertation, involving suitable bibliographic revision, systematization capacity, and control of the used theme and scientific methodology. PPGEL aims to consolidate the research in Electric Engineering at UFSJ and CEFET-MG.


Target Audience

Expected candidate profile:

Candidates holding an electrical engineering degree or related area. Related areas are those listed on the “Áreas do Conhecimento” Table (reference of CNPQ – National Council for Scientific and Technological Development.

The Electrical Engineering Post-Graduation Program of CEFET-MG (PPGEL) aims to receive students with the following expected profiles:

a) Engineers or professionals holding a related degree that work on companies of the following industry sectors: steel, metallurgy, energy, petrochemical, automotive, and so on.
b) Professionals who work on the provision of services in several industries, such as consulting and project companies, as well as energy audits.
c) Students who just graduated in Electrical Engineering or related area

Alumni Profile

It is intended that the PPGEL alumni will be capable of:

a) developing research and working on electric power systems planning and operation.
b) modelling electromagnetic phenomena and equipment, in order to propose several practical solutions, such as in electric power systems grounding and transient problems, considering a wide range of frequency, both in time and frequency domain.
c) analyzing systems by means of mathematical and computational tools.
d) modelling systems by means of mathematical and computational tools.
e) developing optimized controllers, by means of robust control techniques and computational intelligence.

Lines of research

Concentration fields and Lines of research: PPGEL has two main research concentration fields: “Electrical Power Systems – SE” and “Systems Modelling and Control – MCS”. Such fields comprise two lines of research each.

Concentration field: Electrical Power Systems – SE

o Electric Power Systems Planning and Operation (POSEP)

Description: Development of deterministic and probabilistic models for electric power systems planning and operation. Regarding power systems planning, research is carried out in order to develop computational tools, based mainly on Monte Carlo methods. The use of these methods aims to consider associated errors and the employment of metaheuristics in the search of an optimum planning. Special attention is dedicated to the study of indices that evaluate the power transmission capability of transmission lines, as well as power injection at buses of electric power systems.

o Applied Electromagnetics (EA)

Description: Physical and mathematical modelling of electromagnetic phenomena and equipment by means of the electromagnetic theory. Numerical methods application for solving problems and designing equipment. The main numerical techniques are: FDTD (Finite-difference time-domain method), MOM (Method of moments), FEM (Finite Elements), and FIT (finite integration technique). Currently, most of the studies are carried out to solve problems related to grounding and electromagnetic transients in power systems, mainly those related to lightning.

Concentration field: Systems Modelling and Control – NCS

o System analysis and modelling (AMS)

Description: Analyzing nonlinear dynamical systems for description and validation purposes. Developing models for systems and general processes for control applications. Using nonlinear representations: NARMAX, neural networks, nebulous systems, Individual-based models (IBMs). Applying stochastic and multi-objective optimization in system identification. Systems of interest: electronics, mechatronics, power electronics, electromagnetic, biological, economic, social and epidemiological.

o Control systems (SC)

Description: Design of controllers comprising the choice of the manipulated variables, control strategies and parameters optimization. Analysis and synthesis of robust control systems considering linear and nonlinear systems, as well as uncertain, multivariable, time-variant or not variant systems. Developing and application of optimization algorithms to obtain best solutions in all stages of a control system project.

Faculty: click here.

Selection Process: Admission (in portuguese)

Address and contact information:

CEFET-MG – Centro Federal de Educação Tecnológica de Minas Gerais
Nova Gameleira Campus, Main building – Room 253.
7675 Amazonas Ave. Belo Horizonte/MG. CEP: 30.510-000
Phone: +55 (31) 3319-6736