PhD in deploying local flexibility for collaborative congestion management | |
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Workplace | Eindhoven, South Holland, Netherlands |
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Position | |
PhD in deploying local flexibility for collaborative congestion managementPositionPhD-student Irène Curie Fellowship No Department(s) Electrical Engineering Institutes and others EIRES - Eindhoven Institute for Renewable Energy Systems FTE 1,0 Date off 15/11/2024 Reference number V36.7765 print this job Inform a friend Job descriptionAddressing shortages in transport capacity to accommodate new renewable energy projects and large customers presents a significant challenge for Distribution System Operators (DSOs). Large-scale network reinforcement is often constrained by excessive costs, logistical complexities (e.g., limited materials and manpower), and lengthy spatial planning procedures. Therefore, optimizing the use of existing infrastructure through congestion management to increase hosting capacity, defer network reinforcement, and distribute investments more efficiently over time is crucial.This project focuses on leveraging flexible assets connected to low-voltage grids--such as hybrid heat pumps, electric vehicles, and distributed energy generation--using a non-discriminatory, market-based mechanism to resolve congestion in medium-voltage distribution grids. Small-scale resources are typically represented by aggregators, who serve as proxies to provide congestion management services to the DSO through well-defined products and procedures. Despite extensive research in this area, two key challenges remain:
To address these challenges, this project proposes the collaborative offering of congestion management services from multiple aggregators managing small-scale flexibility both within and across congestion areas, in both pre-emptive and real-time scenarios. A suitable market-based mechanism must be developed, characterized, and compared to alternative solutions to evaluate its effectiveness. As part of this PhD project, you will:
From a technical standpoint, your work will involve developing and solving large-scale, multi-objective, multi-level optimization problems under uncertainty, accounting for both network operations and customer behavioral models. You will employ both mathematical programming and machine learning techniques to create scalable decision-support methodologies. This PhD position is part of the EuroTech PhD program at TU/e in collaboration with the Technical University of Denmark (DTU), which you are expected to visit for an extended research stay. The PhD position is co-financed by the Eindhoven Institute for Renewable Energy Systems under the focus area ’System Transition and Scenarios’. You will primarily contribute to Intelligent Energy Systems research activities of the Electrical Energy Systems group at the Department of Electrical Engineering under the supervision of dr. Nikolaos Paterakis. Besides research, you will also have the opportunity to contribute to education within the department. Apart from supervising BSc and MSc students in their research projects, other assistance in education, e.g. in bachelor courses, is usually limited to around 5% of your contract time. The co-supervisors at DTU are dr. Charalampos Ziras and dr. Tilman Weckesser at the Department of Wind and Energy Systems in the Section of Distributed Energy Systems. Job requirements
You must possess a comprehensive knowledge of power systems and electricity markets. You must have a proven ability to develop and apply quantitative decision-making methods (e.g., mathematical programming or data-driven approaches), as evidenced by a relevant MSc thesis or publications. Furthermore, familiarity with topics such as congestion management, flexibility provision, energy management, energy communities, mathematical decomposition methods, distributed optimization techniques is highly desirable. Conditions of employmentA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
Information and applicationAbout usEindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video . Information Do you recognize yourself in this profile and would you like to know more? Please contact dr. Nikolaos Paterakis, Assistant Professor, n.paterakistue.nl . Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, email HRServices.Fluxtue.nl . Are you inspired and would like to know more about working at TU/e? Please visit our career page . Application We invite you to submit a complete application by using the ’apply now’-button on this page. The application should include:
If necessary, please combine the uploads. Selected candidates may be invited first for an online interview and then for onsite visits to TU/e. The position is available immediately and the selected candidate is expected to start no later than July 1, 2025. We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled. Inform a friend Electrical EngineeringThe Department of Electrical Engineering teaches highly motivated Masters of Science, designers and doctoral candidates, and carries out breakthrough research in its field. The department has three spearheads: Connected World, Care and Cure, and Smart Sustainable Systems. These themes are reflected in the department’s nine teaching chairs.Read more | |
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In your application, please refer to myScience.co.nl and reference JobID 20750. |
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