Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control

L Fan, X Ma - Scientific Reports, 2022 - nature.com
Maximum power point tracking (MPPT) is an effective method to improve the power
generation efficiency and power supply quality of a proton exchange membrane fuel cell …

A horse herd optimization algorithm (HOA)-based MPPT technique under partial and complex partial shading conditions

S Sarwar, MA Hafeez, MY Javed, AB Asghar… - Energies, 2022 - mdpi.com
The inconsistent irradiance, temperature, and unexpected behavior of the weather affect the
output of photovoltaic (PV) systems, classified as partial or complex partial shading …

Exploration of different maximum power point tracking techniques for photovoltaic system

P Rajbhoj, S Hamde - International Journal of Ambient Energy, 2023 - Taylor & Francis
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 …

Modular level power electronics (MLPE) based distributed PV system for partial shaded conditions

S Sarwar, MY Javed, MH Jaffery, MS Ashraf… - Energies, 2022 - mdpi.com
Photovoltaic (PV) solar energy is a very promising renewable energy technology, as solar
PV systems are less efficient because of climate conditions, temperature, and irradiance …

A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems under Partial Shading Conditions and Load Variations

RI Jabbar, S Mekhilef, M Mubin… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Photovoltaic array characteristics with partial shading (PS) have multiple maximum power
points (MPPs), and conventional algorithms have difficulties in tracking accurate global …

A new adaptive Perturb & Observe controller via robust approach for PV grid-connected

F Messaoudi, F Farhani, A Zaafouri - International Journal of …, 2024 - Taylor & Francis
Given the importance of renewable energies, several countries are integrating these
energies into their energy strategies, such as their connections to the grid, in particular …

Backstepping-Based Artificial Intelligence Algorithm for Photovoltaic-Quadratic Boost Converter System

B Mbarki, J Chrouta, F Farhani… - Cybernetics and …, 2023 - Taylor & Francis
With energy demands rising, fossil fuel resources depleting, and global warming caused by
carbon emissions, there's an urgent need for efficient, renewable, and clean energy. Solar …

Fotovoltaik sistemlerde gri kurt optimizasyon (gko) algoritması ve artımlı iletkenlik (ai) yönteminin maksimumum güç noktası takibi (mgnt) için karşılaştırılması

Ö Öztürk, Ö Akyazı, B Çavdar - Gümüşhane Üniversitesi Fen …, 2023 - dergipark.org.tr
Dünyadaki enerji ihtiyacı teknolojide yaşanan gelişmelerle gün geçtikçe artmaktadır. Bu
sebeple, çevreye daha az zararlı olan yenilenebilir enerji kaynaklarına eğilim söz …

Optimizing the Bidding Data for power industry with elastic demand using hybrid Water Cycle Moth Flame Optimization Algorithm

M Datta, D Sarkar, S Das - ECTI Transactions on Electrical …, 2024 - ph02.tci-thaijo.org
Abstract Strategic Optimal Bidding of the data is a compulsory duty for Independent System
Operator (ISO) which is the most complicated task that maximizes the profit of the supplier by …

Static Planning Analysis of Urban Energy Power System Based on Heuristic Algorithm

X Hao - Journal of Electrotechnology, Electrical Engineering …, 2022 - clausiuspress.com
With the rapid development of cities in China, scientific management of urban energy
systems has become a reality in order to ensure urban energy security, reduce energy costs …