A Review on the Use of Active Power Filter for Grid-Connected Renewable Energy Conversion Systems

DK Dash, PK Sadhu - Processes, 2023 - mdpi.com
Renewable energy sources such as photovoltaic (PV) and wind energies are integrated into
the grid due to their low global emissions and higher power conversion efficiency …

A structured review of MPPT Techniques For Photovoltaic systems

AR Hameed, AO Aftan, NA Kudher - AIP Conference Proceedings, 2023 - pubs.aip.org
Photovoltaic (PV) energy has recently made significant headway in meeting the world's ever-
increasing energy demand. Moreover, to reduce the effect of using fossil fuels. Solar system …

Hybrid algorithm for MPPT tracking using a single current sensor for partially shaded PV systems

V Balaji, AP Fathima - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
The power voltage characteristics of a photovoltaic array under partially shaded conditions
is highly non linear and it exhibits multiple local peaks and a global peak. The maximum …

[PDF][PDF] A new multivariate linear regression MPPT algorithm for solar PV system with boost converter

PV Mahesh, S Meyyappan… - ECTI Transactions on …, 2022 - pdfs.semanticscholar.org
Operating solar photovoltaic (PV) panels at the maximum power point (MPP) is considered
to enrich energy conversion efficiency. Each MPP tracking technique (MPPT) has its …

Development of a PV emulator using SMPS converter and a model selection mechanism for characteristic generation

M Chaker, A El Houre, D Yousfi, M Kourchi… - Solar Energy, 2022 - Elsevier
The increasing interest in the testing of photovoltaic systems and conversion components,
resulted in the growth of PV emulators development, especially the power converter based …

Enhancing photovoltaic efficiency with the optimized steepest gradient method and serial multi-cellular converters

A Fekik, AT Azar, IA Hameed, ML Hamida, K Amara… - Electronics, 2023 - mdpi.com
Many methods have been developed to aid in achieving the maximum power point (MPP)
generated by PV fields in order to improve photovoltaic (PV) production. The optimized …

Experimental Validation of PSO and Neuro-Fuzzy Soft-Computing Methods for Power Optimization of PV installations

A Ndiaye, M Faye - 2020 8th International Conference on …, 2020 - ieeexplore.ieee.org
This paper proposes an experimental validation of two Soft-Computing Techniques (SCT).
Particle Swarm Optimization (PSO) and Adaptive Neuro Fuzzy Inference System (ANFIS) are …

TS-MPC for autonomous vehicle using a learning approach

E Alcala, O Sename, V Puig, J Quevedo - IFAC-PapersOnLine, 2020 - Elsevier
Abstract In this paper, Model Predictive Control (MPC) and Moving Horizon Estimator (MHE)
strategies using a data-driven approach to learn a Takagi-Sugeno (TS) representation of the …

[PDF][PDF] Validation of genetic algorithm optimized hidden Markov model for short-term photovoltaic power prediction

V Eniola, T Suriwong, C Sirisamphanwong… - … Journal of Renewable …, 2021 - researchgate.net
A substantial amount of renewable energy (RE)-based electrical power is generated over
the last ten years due to global warming issues. Solar photovoltaic (PV) is being incredibly …

Design of an Adaptive Neuro-Fuzzy Inference System for Photovoltaic System

S Benchikh, T Jarou, E Nasri, L Roa - The International Conference on …, 2022 - Springer
A photovoltaic module directly converts solar radiation into electrical energy. It has a crucial
characteristic known as the maximum power point, which is a single operational point where …