Research Profile
1. Digital Power and Energy Systems (DigiPES): We explore the integration of digital technologies into power and energy systems. From advanced sensing and monitoring to data analytics and control algorithms, we strive to develop intelligent solutions that enhance system performance, reliability, and efficiency
2. AI in Power and Energy Systems: Leveraging the power of artificial intelligence, we investigate how machine learning, deep learning, and other AI techniques can revolutionize power and energy systems. By harnessing the capabilities of AI, we aim to optimize system operation, enable predictive maintenance, and facilitate intelligent decision-making processes.
3. Smart Planning and Operation: We focus on developing smart planning and operation strategies for power and energy systems. Through innovative methodologies and tools, we aim to optimize resource allocation, grid expansion, and system operation, taking into account factors such as renewable integration, demand response, and grid resilience.
4. Electricity Markets and Power System Optimization (EMPSO lab): Our research group delves into the intricacies of electricity markets and power system optimization. We investigate novel market designs, pricing mechanisms, and optimization algorithms to ensure efficient and fair allocation of resources, promote renewable integration, and support grid stability.
5. Monitoring and Diagnostics of Components: We emphasize the development of advanced monitoring and diagnostic techniques for power system components. By employing state-of-the-art sensing technologies and data analytics, we aim to enhance the reliability, performance, and lifespan of critical components, such as transformers, generators, and transmission lines.
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Maturity quantification and evaluation of R&I needs of the smart grid
Electric Power Systems Research (2024) -
Multi-timescale Coordinated Distributed Energy Resource Control Combining Local and Online Feedback Optimization
Electric Power Systems Research (2024) -
Analyzing Impact of Network Constraints on Feasible Operation Region of the Radial Distribution Networks
Electric Power Systems Research (2024) -
Establishing a Hierarchical Local Market Structure Using Multi-cut Benders Decomposition
Applied Energy (2024) -
Assessing battery degradation as a key performance indicator for multi-objective optimization of multi-carrier energy systems
Applied Energy (2024)
Contact
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Postal address
P.O. Box 513Department of Electrical Engineering5612 AP EindhovenNetherlands -
Visiting address
Flux 2.133P.O. Box 5135600 MB EindhovenNetherlands -
Secretarysecretariaat.ees@ tue.nl