New PQ Controller for Interconnected Microgrids

Distributed Generation Sources are becoming an inseparable part of modern electrical grids. Finding the control strategies which can help them to be as much as possibly beneficial for the grid has been a big concern among the researchers. In this work, a PQ controller for connecting A DC source simulates the effect of a Distributed Generation to the grid based on the decoupling of Active and Reactive powers has been proposed. The Simulation results which have been in the MATLAB/Simulink environment show the effectiveness of this control technique for injecting the defined value of active and reactive power to the grid

Dynamic scheduling of multiple coupled receding horizon controllers

This thesis develops a new algorithm for the dynamic scheduling of multiple receding horizon control (RHC) systems running on a single processor. The subsystems are coupled and the formulation is adapted for decentralized RHC. The proposed formulation accounts for bounded model uncertainty, sensor noise, and computational delay. A cost function appropriate for control of multiple vehicle systems is proposed and an upper bound on the cost as a function of the execution horizon is developed. The upper bound is optimized to obtain an optimal schedule subject to the computational constraints, which is adapted from Rate Monotonic Scheduling. To consider the computation delay effect, a retarded actuation method based on prediction of the state variables at the next sampling time is employed. The presented scheduling approach first developed for uncoupled systems and extended to the coupled systems, later. Its application is illustrated through control of a three radio controlled hovercraft system and formation control of a four radio controlled hovercraft system