Model predictive control (MPC) based methods are gaining more and more attention in power converters and electrical drives. Nevertheless, high computational burden of MPC is an obstacle for its application, especially when the prediction horizon increases extends. At the same time, increasing the prediction horizon leads to a superior response. In this paper, a long horizon MPC is proposed to c...

For direct model predictive control with reference tracking of the converter current, we derive an efficient optimization algorithm that allows us to solve the control problem for very long prediction horizons. This is achieved by adapting sphere decoding principles to the underlying optimization problem. The proposed algorithm requires only few computations and directly provides the optimal sw...

Nan Jin 1,2, Leilei Guo 1,* and Gang Yao 3 1 Department of Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China; [email protected] 2 Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA 3 Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; [email protected] * Corre...

In this paper, a predictive closed power control loop for mobile communication systems is simulated. The system parameters are derived from those used in a CDMA system uplink transmission at urban mobile speeds. This presents no restrictions, however, on using the proposed method in any closed loop control system where the total received power level is to be estimated from noisy measurements. I...

Model predictive control (MPC) is a powerful and widely used technique to address the challenges in power converters as grid interface for renewable energy systems. This combines closed-loop with error effort minimization; however, its design challenging, we know little about how controller parameters affect performance of grid-connected voltage source converters. In this study, applied an MPC ...

We consider the operation of a wind turbine and a connected local battery or other electrical storage device, taking into account varying wind speed, with the goal of maximizing the total energy generated while respecting limits on the time derivative (gradient) of power delivered to the grid. We use the turbine inertia as an additional energy storage device, by varying its speed over time, and...

This work presents the results of a project aimed at verifying the applicability of industrial model predictive control (MPC) to thermal Power Plants. The research is motivated by the need to improve the efficiency of power plants so as to cope with the high levels of competition induced by the deregulation of the energy market. A detailed plant simulator, already used for operators training an...