In the last decade, artificial intelligence (AI) techniques have been extensively used for
maximum power point tracking (MPPT) in the solar power system. This is because …

This paper presents a comprehensive review of the latest developments in fuzzy logic (FL)
applications across critical domains which include energy harvesting (EH), ambient …

The partial shading of a photovoltaic array repeatedly occurs in the natural environment,
which can cause a failure of a conventional maximum power point tracking (MPPT) …

In this study, Perturb and Observe Maximum Power Point Tracking algorithm and Model
Predictive Control (MPC) algorithm are combined to improve the dynamic performance of …

The problem of extracting maximum power from a photovoltaic (PV) system with negligible
power loss is concerned with the power generating capability of the PV array and nature of …

Speedy exaggeration of CO2 emissions stimulates global warming. In order to slow down
global warming, ongoing hydrocarbon deposit systems need to be put back by renewable …

This study presents a fuzzy logic direct torque control for induction motor to be used in
photovoltaic (PV) water pum** system. The system is intended to be less expensive and …

Maximum power point tracking has been a major topic among researchers due to how
essential it is to solar photovoltaic systems. There have been several methods for tracking …

Multiple local maximum power points occur in the power–voltage characteristic curve of the
photovoltaic (PV) systems due to use of bypass diodes under partial shading conditions, and …

In this chapter, the most used MPPT methods in photovoltaic and wind turbine systems are
presented. The most used control technique in optimization consists in acting on the duty …