Join SPARC as a PhD researcher! Develop probabilistic forecasting, optimization, and real-time control for smart reactive power management in future power grids. Collaborate with TU/e and TUM to enhance grid resilience and renewable energy integration. Work at the intersection of power systems, control, optimization, and machine learning.
InformationAre you our next PhD researcher in exploring cutting-edge probabilistic forecasting, optimization, and real-time control for smart reactive power management in future power grids?
We are seeking a highly motivated and talented PhD candidate to join the SPARC – Smart Provision of Ancillary Reactive Power Control project, a collaborative research initiative between TU/e (Eindhoven, Netherlands) and TUM (Munich, Germany). This project aims to revolutionize reactive power management in modern power systems by developing advanced probabilistic forecasting models, integrated optimization frameworks, and real-time control architectures. The successful candidate will work at the intersection of electrical power system dynamics, control, optimization, and machine learning, with a focus on enhancing grid resilience and enabling the integration of renewable energy.
The SPARC project addresses the pressing challenge of managing reactive power flows at the transmission-distribution (T-D) interface in power systems with high penetration of renewable energy and power electronics. The PhD candidate will contribute to:
- Developing probabilistic forecasting models for reactive power availability, leveraging machine learning and real-time data.
- Designing an integrated optimization framework for ancillary service coordination, considering grid constraints and market dynamics.
- Creating real-time control architectures for seamless TSO-DSO interaction, validated through Power Hardware-in-the-Loop (PHIL) simulations.
- Collaborating with grid operators like Enexis to ensure practical relevance and impact.
The PhD candidate will spend at least six months at TUM to leverage complementary expertise and facilities, fostering cross-institutional collaboration.