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Deployment of an Online Feedback Optimization Controller in a real power grid
A Swiss distribution grid operator is enabling us to deploy a voltage controller in their distribution grid that supplies power to more than 100.000 people. This project first tests and tunes our controller on a model and then deploys the controller in the grid. In the end your work will control the voltage in a real distribution grid.
Keywords: Power Systems
Control System
Control Engineering
Our controller will be based on the novel class of Online Feedback Optimization Controllers. The advantage of these controllers is that they do not track a reference point, but rather drive the system to an optimal point defined by an optimization problem. (e.g. max compliant reactive power flow). These controllers use optimisation algorithms and put them to use in a closed-loop control system. This enables us to steer the system to an optimal point while taking constraints of the system into account (e.g. voltage limits).
1. The student will understand the Online Feedback Optimization method and its advantages
2. The student will set up a simulation of the distribution grid using a provided model
3. The student will implement an Online Feedback Optimization Controller for the grid
4. The student will tune the developed controller using the model
5. The student will define test cases for the controller
6. The student will evaluate the performance using the model and the test cases
7. The student will write the necessary code for the deployment in the grid
8. The student will assist the grid operator in deploying the code in the grid
9. The student will write a final report
Our controller will be based on the novel class of Online Feedback Optimization Controllers. The advantage of these controllers is that they do not track a reference point, but rather drive the system to an optimal point defined by an optimization problem. (e.g. max compliant reactive power flow). These controllers use optimisation algorithms and put them to use in a closed-loop control system. This enables us to steer the system to an optimal point while taking constraints of the system into account (e.g. voltage limits).
1. The student will understand the Online Feedback Optimization method and its advantages 2. The student will set up a simulation of the distribution grid using a provided model 3. The student will implement an Online Feedback Optimization Controller for the grid 4. The student will tune the developed controller using the model 5. The student will define test cases for the controller 6. The student will evaluate the performance using the model and the test cases 7. The student will write the necessary code for the deployment in the grid 8. The student will assist the grid operator in deploying the code in the grid 9. The student will write a final report
Controlling the voltage in a real distribution grid that provides power to more than 100.000 people.
**Corona Disclaimer:** This project could be done in person at the Automatic Control Laboratory, hybrid, or completely remotely depending on the current ETH rules. Most importantly, we can change between these forms whenever needed.
Finally, if the results are promising they can be turned into a publication.
Controlling the voltage in a real distribution grid that provides power to more than 100.000 people.
**Corona Disclaimer:** This project could be done in person at the Automatic Control Laboratory, hybrid, or completely remotely depending on the current ETH rules. Most importantly, we can change between these forms whenever needed.
Finally, if the results are promising they can be turned into a publication.