Power Systems - Planning & Reliability
The energy transition resulting from the decarbonization of Power Systems has been creating new challenges associated with the accurate quantification of long-term security of supply in systems with a high renewable component. At the same time, the growing interconnection between neighboring systems fosters the development of detailed models to simulate energy and reserve exchanges and capable of measuring the contribution of demand flexibility to security of supply as well as the impact of the growing demand associated with the consumption of electric vehicles. Given these challenges, the work to be carried out is focused on the development of models for considering weekly energy restrictions in the use of hydro power plants with reservoir and for defining energy and capacity exchanges between areas on an hourly basis considering the flow-based methodology. These modules will be embedded in a tool for assessing the adequacy of the static and operational reserve based on Sequential Monte Carlo Simulation.
Master degree in electrical and computer engineering, applied mathematics or computer science or informatics or similar.
Minimum profile required
Experience coding in C++, Python or MATLAB.
Experience in artificial intelligence and data analytics, particularly if applied to power systems. Fluency in English and Portuguese (written and spoken). Experience in the development of APIs via web services (e.g., Rest API). Experience with Docker.
Since 18 May 2022 to 18 Jun 2022
Power and Energy Systems