Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …

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

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 …

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 …

To address the stability issues aroused by the negative-resistance effect of constant power
loads (CPLs), this article proposes a composite robust discretized quasi-sliding mode …

Model predictive control (MPC) based on long prediction horizons can address the inherent
nonminimum phase (NMP) behavior issue of dc/dc boost converters. However, the response …

Due to the lack of support for the power system, the small inertia of the system, and the
access to negative impedance elements, the stable operation of the islanded DC microgrid …

In recent years, the power electronic load infiltrates into the microgrid in the form of constant
power, and its negative impedance characteristics threaten the stability of the system. To …

It is well known that unmodeled dynamics and uncertainties can deteriorate the performance
of classical controllers. To resolve this problem, there is growing popularity in using the …

An on‐line generalised model predictive control (GMPC) strategy is designed and optimised
with a novel identification procedure in the presence of different disturbances. The principle …