Eindhoven University of Technology (TU/e, https://www.tue.nl/en/) is one of Europe's top technological universities, situated at the heart of a most innovative high-tech region, with a wealth of collaborations with industry and academic institutes. In 2017, TU/e was ranked 15th in Europe in the Times Higher Educational World University ranking for Engineering and Technology. TU/e has around 3,000 employees and 2,300 PhD students (half of which international, representing about 70 nationalities).Programme Description
The envisioned research is part of the research program Intelligent Energy Systems (IES) performed within the Electrical Energy Systems (EES) group of TU/e. Within the IES program, research is conducted into operation and planning of future sustainable energy systems, with an emphasis on electricity systems, markets and systems integration. This research is performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes in electricity market design (centralized & decentralized), market products & system services to integrate new technologies, forecasting, market participation strategies and risk management, large-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in power and energy systems. The EES group has strong ties with industry both nationally and internationally, with several part-time industry researchers working in the group and a large group of strategic collaboration partners.
Recently, the Electrical Energy Systems group received grants for nationally-funded projects in Intelligent Electricity Systems. Therefore, this group currently has multiple vacancies in this field. We are currently looking for researchers with strong computer science, modelling & simulation, and research software development skills
that want to develop cutting-edge knowledge and software for the
energy transition.. The focus of the work will be on the application of intelligent software approaches (distributed control systems, (distributed) optimization, market mechanisms, data sharing techniques, etc.), in electrical power systems (energy system flexibility coordination, local energy markets, capacity & congestion management, etc.).PhD position: Digital control coordination at the electricity grid edges
This PhD research is investigating the application of data-sharing, distributed decision making and edge computing technologies in electricity-grid-edge control, specifically through local market interactions in the context of future sustainable energy systems use cases. Data sharing technologies such as ontologies and multi-party computation (MPC) are being investigated. This research develops interaction models and edge-computing algorithms for three different settings: (1) investigate how edge computing can be used to feasibly operate market algorithms that are either computationally intensive or needing fast response times, (2) develop and compare interaction models for local markets incorporating participant-specific info such as time-dependencies in flexibility constraints and uncertainty, and (3) investigate advanced data sharing technology (such as multi-party computation, MPC) used between multiple actors mutually and with the market platform, allowing parties to shield off sensitive information while cooperating or negotiating with each other. The researcher will engage in an interdisciplinary cooperation with researchers at other universities and with key industry partners covering the full electricity value chain. This position is part of the MegaMind Research Program
The position is supervised by prof.dr. J.K. Kok and dr. H.P. Nguyen.Working Context
The PhD researcher will work in close collaboration with experts and researchers from external industry and knowledge institutes, including the Dutch Distribution System Operators, energy sector service and technology providers, consultancy firms, applied research institutes and (technical) universities. The project strives to make a tangible step in the energy transition for maximum societal impact. The project is interdisciplinary in nature, combining the state-of-the-art in computer science, mathematics and/or energy systems engineering.