WP 3: Security Management & Optimal Operation
Motivation
- The increasing penetration of variable renewable generation introduces operational complexity at both transmission and distribution levels, requiring advanced control and optimization strategies.
- Effective coordination of energy resources across buildings, neighbourhoods, and grids is essential to enhance flexibility, stability, and cost-efficiency.
Objectives
- Develop learning-based distributed control algorithms to transform buildings and neighbourhoods into intelligent energy hubs, maximizing clean energy integration and efficiency.
- Design scalable optimization frameworks to enhance SES flexibility, fault tolerance, and resilience while addressing uncertainties and dynamic security constraints.
- Implement and experimentally validate the proposed control strategies using real-life scenarios, industrial data, and testbeds for practical deployment.
Doctoral Candidates Involved in the WP
Personal background
Electrical Engineering M.Sc. Specialized in Automatic Control
Research project
Predicative hierarchical control of hydrogen networks
Main affiliation
Supervisor team
Johannes Schiffer, Alessandra Parisio, Dr. Qureshi (VITO)
Personal motivation
Academic curiosity, the green energy transition
Personal background
Master Integrated Degree:
- Electrical and Computer Engineer (National Technical University of Athens)
- Direction: Energy Systems and Decision making
- Thesis: Optimal operation of smart grids and energy communities at the distribution level
Experience:
- Research Assistant (SPS-LAB)
- Designed frequency reserve requirements for low-inertia power systems.
- Drafted technical requirements for integrating energy storage systems into the distribution and transmission power systems.
Research project
Optimal operation of electric vehicles and heat pumps in Active Distribution Grids
Main affiliation
Supervisor team
Personal motivation
Passionate about advancing the energy transition by enhancing smart grid technologies and enabling active participation of distributed energy resources like EVs and heat pumps. Committed to bridging the gap between research and real-world applications for a sustainable energy future.
Personal background
Electrical Engineering Background:
- Lebanese American University
- National Institute of Applied Sciences (INSA) Strasbourg
Previous Work:
- Faulted Power Systems
- Design & Operation of Smart Grids
- Renewable Energy
- Electrical Energy Storage Systems
Research project
Advanced Control for Highly Energy-Efficient Buildings and Neighbourhoods
Main affiliation
Supervisor team
Personal motivation
- Thirst for knowledge to explore advanced optimization techniques for multi-energy systems
- Career aspirations to become a leading expert in power systems optimization
- Real-world impact by applying algorithms and models for more reliable energy systems
Personal background
I received my M.Sc. in Power System Engineering from the University of Tehran. My research has focused on enhancing the performance of energy systems through optimal design, planning, and operational control, particularly in the presence of uncertainties.
Research project
Stable and scalable control algorithms for managing energy flexibility in thermal networks.
Main affiliation
Supervisor team
Personal motivation
As part of the DENSE Doctoral Network, my research focuses on developing scalable control algorithms for managing energy flexibility in district heating and cooling (DHC) networks. The increasing number of flexible assets, such as controllable buildings, poses a challenge for existing control methods. This project aims to design an advanced control architecture that ensures scalability and real-time decision-making in large-scale DHC systems.
