Postdoc Power System Dynamic Modelling, Stability and Defense Against Cascading Failures
15 uur geleden
**Postdoc Power System Dynamic Modelling, Stability and Defense Against Cascading Failures**:
**_Digital twin for power system stability and resilience to cascading failures from Control Room of the Future._**:
**Job description**:
**Key responsibilities**:
- You will conduct research on (i) dynamic power system modelling to create a digital twin, (ii) impact of disturbances like cyber attacks (at the physical power system layer) on power system stability that can cause cascading failures, and (iii) development of self-healing capabilities of power grids to stop the propagation of cascading effects and prevent a blackout. First, a computational method will be developed, which uses a digital twin of the power grid to assess the impact of cyber attacks on power system stability and analyse how they can initiate cascading failures that may lead to a blackout. Then, you will develop a method using Wide Area Monitoring Systems (WAMS), AI and/or computational intelligence to enable self-healing grid capabilities and stop propagation of cascading failures. The digital twin and methods will be demonstrated in an state-of-the art experimental environment using our large RTDS infrastructure coupled with a dedicated digital substation and Control Room of the Future (CRoF). This project offers excellent opportunities to work in a dynamic team, and excellent networking opportunities with experts from academia and utilities.
- You will be supervised by Dr. Alex Stefanov (Associate Professor) and join the Cyber Resilient Power Grids (CRPG) team.
- You will dedicate about 60% of the time to research activities within TwinEU project together with 3-4 PhD researchers.
- You will dedicate about 40% of the time to help with PhDs supervision.
- We offer a 19 months Postdoc appointment, with a start date of no later than June 1, 2025.
**Requirements**:
Essentials:
- Demonstrable interest in interdisciplinary and intersectoral research, and specifically the interface between power systems, information and communication technologies, and preferably cyber security.
- Completed a PhD degree in a highly quantitative and analytical related discipline (electrical engineering with an emphasis on power systems, automatic control, applied mathematics, and/or computer science).
- Excellent academic and publication track record.
- Excellent analytical and writing skills.
- Strong knowledge of power system stability and control, power system dynamics, and/or power grid cyber security.
- You enjoy performing research. You are independent, self-motivated, and eager to learn.
- You are keen to work with industry partners to link real-world challenges to fundamental research questions.
- Very good, demonstrable experience with computer modelling and simulation such as DIgSILENT PowerFactory, RTDS and/or OPAL-RT.
- You enjoy programming and hold your code to a high standard.
Desirables:
- Knowledge of computer networking and cyber security.
- Experience with Python and machine learning libraries.
**TU Delft (Delft University of Technology)**:
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
Challenge. Change. Impact
**Faculty Electrical Engineering, Mathematics and Computer Science**
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.
, Mathematics and Computer Science.
**About the department**
The research in the Department of Electrical Sustainable Energy is inspired by the technical, scientific, and societal challenges originating from the transition towards a mor
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