[HTML][HTML] Smart grid evolution: Predictive control of distributed energy resources—A review

O Babayomi, Z Zhang, T Dragicevic, J Hu… - International Journal of …, 2023 - Elsevier
As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Discrete model-predictive-control-based maximum power point tracking for PV systems: Overview and evaluation

A Lashab, D Sera, JM Guerrero… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

Model predictive control of PV sources in a smart DC distribution system: Maximum power point tracking and droop control

MB Shadmand, RS Balog… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In a dc distribution system, where multiple power sources supply a common bus, current
sharing is an important issue. When renewable energy resources are considered, such as …

MPPT of photovoltaic systems using sensorless current-based model predictive control

M Metry, MB Shadmand, RS Balog… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Variability in the solar irradiance level and ambient temperature of photovoltaic (PV) systems
necessitates the use of maximum power point tracking (MPPT) of PV systems to ensure …

A dual-discrete model predictive control-based MPPT for PV systems

A Lashab, D Sera, JM Guerrero - IEEE transactions on Power …, 2019 - ieeexplore.ieee.org
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 …

Efficient maximum power point tracking using model predictive control for photovoltaic systems under dynamic weather condition

M Mosa, MB Shadmand, RS Balog… - IET Renewable Power …, 2017 - Wiley Online Library
This study presents a high‐efficient maximum power point tracking (MPPT) of photovoltaic
(PV) systems by means of model‐predictive control (MPC) techniques that is applied to a …

A novel hybrid grey wolf optimized fuzzy logic control based photovoltaic water pumping system

N Priyadarshi, S Padmanaban… - IET Renewable …, 2022 - Wiley Online Library
This paper describes the novel scientific contribution of a modified hybrid grey wolf
optimization‐fuzzy logic controller (GWO‐FLC) based on maximum power point tracking …

Simplified lambert w-function math equations when applied to photovoltaic systems modeling

S Pindado, E Roibás-Millán, J Cubas… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this article, simplified and easy-to-work-with equations for the Lambert W-function are
derived. This function is widely used to solve equations related to photovoltaic systems …

Maximum power point tracking-based model predictive control for photovoltaic systems: Investigation and new perspective

M Ahmed, I Harbi, R Kennel, J Rodríguez… - Sensors, 2022 - mdpi.com
In this paper, a comparative review for maximum power point tracking (MPPT) techniques
based on model predictive control (MPC) is presented in the first part. Generally, the …

Study of the MPP tracking algorithms: Focusing the numerical method techniques

A Amir, J Selvaraj, NA Rahim - Renewable and Sustainable Energy …, 2016 - Elsevier
A comparative review between different algorithms for maximum power point (MPP) tracking
is presented, particularly focusing Numerical Method (NM) techniques. This paper presents …