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

Global energy consumption is increasing at a dramatic rate and will likely continue to do so.
The major source of energy is still fossil fuel, which has resulted in the well-documented …

Load frequency control (LFC) serves a critical purpose in modern power systems, controlling
system frequency and tie-line power flow. Nowadays, the power systems are integrated with …

The main objective of this work is to provide an overview and evaluation of discrete model-
predictive control (MPC)-based maximum power point tracking (MPPT) for photovoltaic …

This paper presents a method that overcomes the problem of the confusion during fast
irradiance change in the classical maximum power point tracking (MPPT) as well as in …

Sliding mode controller (SMC) based MPPT systems are less effective due to input LC in
tank of boost converter. The LC in tank at PV node creates the sinusoidal waves of V pv/I pv …

Voltage boost converters are one of the most important components of DC microgrids, since
they are used to enhance the voltage of naturally intermittent energy sources such as solar …

In order to improve maximum power point tracking (MPPT) performance, a variable and
adaptive perturb and observe (P&O) method with current predictive control is proposed. This …

This paper presents transformerless high gain boost and buck-boost DC-DC converters (B-
BBCs) with extendable switched capacitor cells (SCs), suitable for applications operating at …

To optimize the voltage regulation performance and enhance the robustness, an adaptive
model predictive controller is proposed in this article for an interleaved dc–dc boost …