As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

In modern dc shipboard microgrid (SMG) systems, the propulsion motors and hotel loads are
always supplied through tightly regulated point of load converters, which behave as constant …

DC microgrids encounter the challenges of constant power loads (CPLs) and pulsed power
loads (PPLs), which impose the requirements of fast dynamics, large stability margin, high …

There has been an increasing interest in using model predictive control (MPC) for power
electronic applications. However, the exponential increase in computational complexity and …

Emerging electric vehicle (EV) technology requires high-voltage energy storage systems,
efficient electric motors, electrified power trains, and power converters. If we consider …

In this paper, a resonant converter model is proposed that takes into account the thermal
and electrical dynamics of the main components. With respect to state‐of‐art, where model …

The closed‐loop wireless power transfer (WPT) system can realize constant voltage output
in the presence of perturbation. However, the parameter design of the controller is a difficult …

This article introduces a decentralized model predictive controller (DMPC) to ensure power
sharing and regulate dc bus voltage in dc microgrids (MGs) with a constant power load …

In this paper, the problem of designing a fractional order PID-type controller is considered for
a boost converter. By using the output capacitance and input inductance values this paper …

This article addresses the problem of stabilization of dc–dc converters feeding constant
power loads (CPLs). An explicit model predictive control is developed based on an average …