[HTML][HTML] Smart grid evolution: Predictive control of distributed energy resources—A review
As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …
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
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 …
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 …
sharing is an important issue. When renewable energy resources are considered, such as …
MPPT of photovoltaic systems using sensorless current-based model predictive control
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 …
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
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 …
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
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 …
(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 …
optimization‐fuzzy logic controller (GWO‐FLC) based on maximum power point tracking …
Simplified lambert w-function math equations when applied to photovoltaic systems modeling
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 …
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
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 …
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 comparative review between different algorithms for maximum power point (MPP) tracking
is presented, particularly focusing Numerical Method (NM) techniques. This paper presents …
is presented, particularly focusing Numerical Method (NM) techniques. This paper presents …