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Real-time control of power system for voltage collapse prevention



Saverio Bolognani, Florian Dörfler

Manifold optimisation is a powerful new paradigm for the optimization of power systems and an active research area at the Power Systems Lab and the Automatic Control Lab at ETH. Taking a geometric viewpoint sheds a new light on existing problems such as frequency and voltage control, the integration of renewable energy sources, and raises new questions about voltage collapse prevention and controllability under critical conditions.

In this project, we focus in particular on the goal of voltage collapse prevention. Voltage instability, and collapse, happens when the capacity of the grid is reached, and there is no solution of the power flow equations that can support the desired power transfer from generators to loads. Voltage instability is difficult to detect, let alone to prevent, and leads to undervoltage phenomena, load shedding, and blackouts.

The aim is to derive methods and algorithms to assess the distance from voltage collapse, incorporate this information in the real-time optimization framework described above, and ultimately to drive the power system away from voltage instability. The proposed approach will have a sound mathematical justification, but will also be evaluated in simulations.

Previous work in this field done at IfA include: [1], [2]

Students are expected to have a strong track record in mathematical subjects such as analysis, linear algebra, numerical methods, optimization and control and are able to write clean, reusable Matlab code. Since this is a very young research field, almost all of our student projects incorporate original work. Therefore, we favor students who are capable and willing to go the extra mile and help us getting their work published.

Weitere Informationen

Florian Dörfler

Art der Arbeit:
Anzahl StudentInnen:
Status: open