Harris hawks optimization algorithm: variants and applications
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
A review and classification of most used MPPT algorithms for photovoltaic systems
Energy has become an indispensable need to sustain our lives. Approximately 80% of the
energy consumed in the world is produced from fossil sources. For the reasons such as the …
energy consumed in the world is produced from fossil sources. For the reasons such as the …
Fuzzy and P&O based MPPT controllers under different conditions
This paper proposes different maximum power point tracking (MPPT) techniques under
different conditions for standalone photovoltaic (PV) systems by using MATLAB/Simulink …
different conditions for standalone photovoltaic (PV) systems by using MATLAB/Simulink …
MPPT based model predictive control of grid connected inverter for PV systems
This paper presents a Maximum Power Point Tracking (MPPT) based Model Predictive
Control (MPC) approach to obtain high accuracy and fast dynamic response. The tracking …
Control (MPC) approach to obtain high accuracy and fast dynamic response. The tracking …
Detailed modeling of a thermoelectric generator for maximum power point tracking
H Mamur, Y Coban - Turkish Journal of Electrical Engineering …, 2020 - journals.tubitak.gov.tr
Thermoelectric generators (TEGs) are used in small power applications to generate
electrical energy from waste heats. Maximum power is obtained when the connected load to …
electrical energy from waste heats. Maximum power is obtained when the connected load to …
Novel MPPT controller augmented with neural network for use with photovoltaic systems experiencing rapid solar radiation changes
A Dawahdeh, H Sharadga, S Kumar - Sustainability, 2024 - mdpi.com
A maximum power point tracking (MPPT) controller optimizes power harvesting in
photovoltaic (PV) systems under varying conditions. The perturb and observation (P&O) …
photovoltaic (PV) systems under varying conditions. The perturb and observation (P&O) …
A comprehensive study of different photovoltaic peak power tracking methods
The purpose of this document is to give a wide-ranging comparison between different
photovoltaic (PV) maximum power point tracking (MPPT) methods. The MPPTs considered …
photovoltaic (PV) maximum power point tracking (MPPT) methods. The MPPTs considered …
Assessment and mapping of solar energy potential using artificial neural network and GIS technology in the southern part of India
K Anwar, S Deshmukh - International Journal of Renewable …, 2018 - ijrer-net.ijrer.org
Prediction and assessment of solar radiation are necessary pre-requisites in developing
solar technology. Here, an artificial neural network (ANN) model has been developed to …
solar technology. Here, an artificial neural network (ANN) model has been developed to …
Maximum power point tracking for photovoltaic system by using fuzzy neural network
WI Hameed, AL Saleh, BA Sawadi, YIA Al-Yasir… - Inventions, 2019 - mdpi.com
The electrical energy from the sun can be extracted using solar photovoltaic (PV) modules.
This energy can be maximized if the connected load resistance matches that of the PV …
This energy can be maximized if the connected load resistance matches that of the PV …
Super twisting sliding mode control of smart-inverters grid-connected for PV applications
A Del Pizzo, LP Di Noia, S Meo - 2017 IEEE 6th International …, 2017 - ieeexplore.ieee.org
In this paper, it is proposed a robust Second-Order Super-Twisting Sliding Mode Control for
a Grid-connected inverter of a PV power plant. The proposed control strategy is able to …
a Grid-connected inverter of a PV power plant. The proposed control strategy is able to …