Power Systems
[Closed]
Work description
Creation of a platform to enable new energy efficiency and flexibility services for electricity end users, through automatic interface, support and decision systems - Development of predictive models for optimisation and control of energy management systems - Definition of operational requirements of hybrid energy storage and generation systems, with inclusion of electricity market services and flexibility portfolio exploration - Optimize the scheduling of controllable/dispatchable loads in coordination with local photovoltaic production - Validation and benchmark of a potential energy management solution for optimal self-consumption services. - Dissemination of the work in international journals and/or conferences
Academic Qualifications
PhD degree in: Electrical and Electronic Engineering; Industrial and Computer Engineering; Applied Mathematics; Physics; Computer Science or similar.
Minimum profile required
- Advanced knowledge in electric power and energy systems- Proven experience in power system control, frequency response and energy storage systems- Experience with energy management system (EMS) development- Experience in applying optimization algorithms to engineering problems- A minimum of 2 publications in Q1 journals
Preference factors
- Knowledge regarding the provision of flexibility services in electricity distribution networks - Python programming skills - Knowledge of Machine Learning programming
Application Period
Since 03 Jun 2024 to 30 Jun 2024
[Closed]
Centre
Power and Energy Systems