There is a rapid increase in the installed capacity of offshore wind power plants (WPPs) worldwide, and trend will continue context recent EU energy crisis Ukraine war. As share increases systems, it essential that WPPs can stay connected with grid during different operational events provide ancillary services. Recent research has identified Phase Locked Loop (PLL) converter control as contribu...

This paper presents an optimal discrete time reduced order Kalman ̄lter. The reduced order ̄lter is used to estimate a linear combination of a subset of the state vector. Most previous approaches to reduced order ̄ltering rely on a reduction of the model order. However, this paper takes the full model order into account. The reduced order ̄lter is obtained by minimizing the trace of the estimat...

We formulate a reduced order model for multi-layer, epitaxial growth of a thin film. The model describes layer-by-layer growth using three bulk (i.e. scalar) quantities per layer: average coverage ψ, average island number density n and average adatom density ρ for each layer. The model relies on simplifying assumptions on the geometry of the islands, as well as several approximations for the ph...

A dynamic reduced order model using integral manifold theory has been derived, which can be used to simulate the DOIG wind turbine using a double-winding representation of the generator rotor. The model is suitable for use in transient stability programs that can be used to investigate large power systems. The behavior of a wind farm and the network under various system disturbances was stu...

Feedback control of fluids is often achieved with limited state measurements. Effective approaches utilize compensators, which can be computed using linear quadratic Gaussian (LQG) or MinMax control designs. However, to achieve real-time control algorithms, these compensators must have low computational complexity. Model reduction methods are a natural choice to build reduced-order compensators...