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Master Thesis: Robust control for the design of a transparent Power- Hardware-In-the-Loop interface.
The goal of the project is evaluate a new concept of Power Hardware-In-the-Loop (PHIL) interface design using tools from robust and optimal control.
Keywords: Control, Power Systems, Optimization
Power-Hardware-In-the-Loop (PHIL) is a special category of hardware-in-the-loop simulations that consists of connecting energy producing (consuming) devices to grid simulators. Among other benefits, PHIL environment provides a cost-effective testing platform for evaluating the impact of renewable energy proliferation in power systems.
The goal of the project is evaluate a new concept of PHIL interface design using tools from robust and optimal control. Ideally, the interface is transparent (looks like the identity map) so that events in the physical feeder are accurately reflected in the simulation and vice-versa. Unfortunately, because of delays and digital-analog conversions, there is a tradeoff between transparency and stability. In this project we will use robust and optimal control tools to address this tradeoff directly in the interface design.
Power-Hardware-In-the-Loop (PHIL) is a special category of hardware-in-the-loop simulations that consists of connecting energy producing (consuming) devices to grid simulators. Among other benefits, PHIL environment provides a cost-effective testing platform for evaluating the impact of renewable energy proliferation in power systems.
The goal of the project is evaluate a new concept of PHIL interface design using tools from robust and optimal control. Ideally, the interface is transparent (looks like the identity map) so that events in the physical feeder are accurately reflected in the simulation and vice-versa. Unfortunately, because of delays and digital-analog conversions, there is a tradeoff between transparency and stability. In this project we will use robust and optimal control tools to address this tradeoff directly in the interface design.
Tasks:
- Get familiar with simple PHIL models and state-of-the art interface design and stability analysis.
- Formulate the transparent interface design as a robust optimal control problem by modelling various degrees of uncertainty (time-delay, analog/digital interface, unknown impedances in the feeder).
- Solve the optimal robust control problem using e.g. iterative convex optimization methods.
- Test the design on Hydro Québec’s simulink models of the PHIL interface.
Tasks: - Get familiar with simple PHIL models and state-of-the art interface design and stability analysis. - Formulate the transparent interface design as a robust optimal control problem by modelling various degrees of uncertainty (time-delay, analog/digital interface, unknown impedances in the feeder). - Solve the optimal robust control problem using e.g. iterative convex optimization methods. - Test the design on Hydro Québec’s simulink models of the PHIL interface.