Experimental validation of effective zebra optimization algorithm-based MPPT under partial shading conditions in photovoltaic systems
This study introduces a novel approach for analyzing photovoltaic (PV) systems that employ
block lookup tables for speedy and efficient simulation. It introduces an innovative method …
block lookup tables for speedy and efficient simulation. It introduces an innovative method …
Fuzzy-type 2 fractional fault tolerant adaptive controller for wind turbine based on adaptive RBF neural network observer
Nowadays, wind turbines have become one of the most significant sources of clean
electricity generation because of their renewability and being free. The wind turbine control …
electricity generation because of their renewability and being free. The wind turbine control …
Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments
This study looks into how to make proton exchange membrane (PEM) fuel cells work more
efficiently in environments that change over time using new Maximum Power Point Tracking …
efficiently in environments that change over time using new Maximum Power Point Tracking …
Improving photovoltaic energy harvesting systems with hybrid fuzzy logic-PI MPPT optimized by PSO under normal and partial shading conditions
Maximizing the efficiency of photovoltaic (PV) energy harvesting systems is essential for
improving the sustainability and cost-effectiveness of solar power. This paper presents a …
improving the sustainability and cost-effectiveness of solar power. This paper presents a …
Improving maximum power point tracking efficiency in solar photovoltaic systems using super‐twisting algorithm and grey wolf optimizer
This study presents a new Maximum Power Point Tracking (MPPT) approach for solar
photovoltaic (PV) systems, combining the Super‐Twisting Algorithm (STA) and Grey Wolf …
photovoltaic (PV) systems, combining the Super‐Twisting Algorithm (STA) and Grey Wolf …
Fixed-Time Integral Sliding Mode Control with Fixed-Time Nonlinear Disturbance Observer for MPPT of Wind Turbines
This paper develops a faster convergent and robust control scheme for maximum power
point tracking (MPPT) of wind turbines under multiple challenges. The control objective is to …
point tracking (MPPT) of wind turbines under multiple challenges. The control objective is to …
Wind speed estimation and maximum power point tracking using neuro-fuzzy systems for variable-speed wind generator
This paper proposes a novel method using a machine learning-based Adaptive Neuro-
Fuzzy Inference System (ANFIS) to optimize Maximum Power Point Tracking (MPPT) in …
Fuzzy Inference System (ANFIS) to optimize Maximum Power Point Tracking (MPPT) in …