Renewable energy sector is undergoing rapid expansion as the global focus is shifting
towards cleaner, reliable and sustainable resources. As the new installation of these …

The objective of energy transition is to convert the worldwide energy sector from using fossil
fuels to using sources that do not emit carbon by the end of the current century. In order to …

In this paper, an optimal nonlinear controller based on model predictive control (MPC) for a
flywheel energy storage system is proposed in which the constraints on the system states …

In this paper, new techniques are presented to improve the performance of the optimal
switching vector model predictive control. A well-defined analytic technique is proposed for …

Applying model predictive control (MPC) to cascaded H-bridge multilevel converters, while
improving the dynamic performance, suffers from high computation burden due to …

The purpose of this study is to design a real-time current predictive control for a wind energy
conversion system (WECS) using a doubly-fed induction generator (DFIG). A wind emulator …

The increasing penetration of the renewables and integration of the power electronic
devices leads to lower system inertia, which is changeling the system stability of a …

This article proposes an improved low-complexity model predictive direct power control (LC-
MPDPC) along with reduced power ripples. Different from those MPDPC methods under …

Currently available uncertainty quantification (UQ) neural networks (NNs) are trained
through the statistical error minimization. Therefore, NNs perform poorly for critical input …

This article proposes coordinated model predictive control (MPC) techniques for a DC-
coupled hybrid microgrid system with solar photovoltaic and wind generated system. To …