Electrical Energy Systems

Electrical Energy Systems

Electrical Energy Systems (EES) are composed of complex equipment and infrastructure which covers a wide territory. These systems aim at the production, transmission and distribution of electricity.

The process chain in an EES is based on the assumption that consumers have to access electricity in the amount they want at the minimum cost possible and the quality factor has to be taken into consideration. Quality refers to the capacity of the system to support the charge properly and under standard voltage and frequency rates.

The expansion and operation of an EES demands a multidisciplinary knowledge base in order to evaluate issues related to the management of water resources, environmental impacts and financial resources on account of the significant investment required.

Dealing with electrical energy systems requires the use of appropriate computational methods and models, whose developments are objects of research in the EES area of PPGEEL.

The computational models developed by the area of Electrical Energy Systems are valuable tools both to the operation and the planning of an EES because it is impossible to perform experiments in real systems. The mathematical representation of the phenomena associated to an EES invariably results in large scale problems which require the use of sophisticated algorithms and significant computational resources, bringing several challenges to this area of research.

Research in this area is developed in two laboratories: The Power Systems Laboratory – LABSPOT and the Electrical Energy System Planning Laboratory – LabPlan. LABSPOT and LabPlan have seven and five faculty members, respectively.

Research Topics

  1. Electrical Energy System Planning
  2. Regulation and Dynamics of Competitive Electricity Markets
  3. High-Performance Computing Applied to Electrical Energy Systems
  4. Dynamics and Control of Electric Power Systems
  5. Operation of Power Systems in Steady State
  6. Real-Time Modelling of Power Systems
  7. Optimal Power Flow
  8. Knowledge-Based Methods Applied to Power Systems
  9. Power System Diagnostics and Protection



  1. C. Celso Brasil Camargo
  2. Edson Luiz da Silva
  3. Ildemar Cassana Decker
  4. Jorge Coelho
  5. Erlon Cristian Finardi
  6. Aguinaldo Silveira e Silva
  7. Antônio José Alves Simões Costa
  8. Hans Helmut Zürn
  9. Jacqueline Gisele Rolim
  10. Jorge Mario Campagnolo
  11. Katia Campos de Almeida
  12. Roberto de Souza Salgado

Courses Offered

First Trimester

Second Trimester

Third Trimester

Numerical Optimization Methods Stochastic Processes in Electrical Engineering Optimization Techniques Applied to Large-Scale Systems
Theory of Linear Systems Dynamics of Electrical Energy Systems Power Systems Security Analysis
Electrical Power Systems Planning of Electrical Energy Systems Dynamic Aspects of Power Systems Control
Planning of Electrical Energy Systems Operation Static Aspects of Power Systems Control
Static Optimization Applied to Power Systems Advanced Topics in Electrical Energy Systems Planning I: Electrical Energy Management in Electrical Energy Systems
Advanced Topics in Power Systems: Knowledge-Based Systems Applied to Power Systems