Moving Horizon Estimation of Faults in Renewable Microgrids

Using a Moving-Horizon Estimation scheme, this work aims to estimate faults that occur on a renewable microgrid with different energy sources, such as photovoltaic panels, wind power generation and biomass. This plant might present different possible faults, that can lead it not to comply to its operational constraints, such as communication problems, valve malfunctions, vapor leakages etc. The studied system uses a Kalman Filter to determine an Arrival-Cost functional. Furthermore, the method consists in solving a constrained quadratic optimization problem using data from previous iterations; no estimation of future behaviour is needed. Discussions about robustness towards uncertainty and noise are presented. The effectiveness of the proposed method is illustrated via numerical simulation.