Research on MPPT control algorithm of photovoltaic system by binary ant colony algorithm and fuzzy neural network

Y Donghai, L Yang, W Yi, X Weihua - Journal of Electrical Engineering, 2019 - cjeecmp.cn
Maximum power point tracking (MPPT) control which can make photovoltaic module output
power furthest has been a research hotspot for enhancing the output power of the …

Photovoltaic MPPT algorithm based on adaptive particle swarm optimization neural-fuzzy control

Z Yan, Z Miyuan, W Yajun, C Xibiao… - Journal of Intelligent & …, 2023 - content.iospress.com
Since the BP neural network has poor performance and unstable learning rate in the
maximum power point tracking (MPPT) algorithm of photovoltaic (PV) system, an adaptive …

Research on MPPT of the Photovoltaic System Based on the PSO-BP Neural Network

Y Zhu, L Jia - 2022 7th International Conference on Power and …, 2022 - ieeexplore.ieee.org
Maximum power point tracking (MPPT) technique is an effective way to boost the utilization
rate of solar energy in photovoltaic (PV) systems. Aiming at the problem of slow response …

A new MPPT algorithm based on ANN in solar PV systems

H Zhang, S Cheng - Advances in Computer, Communication, Control and …, 2012 - Springer
To optimize the solar energy efficiency, maximum power point tracking (MPPT) algorithm is
usually used in solar photovoltaic (SPV) systems. In this paper, a new MPPT method based …

MPPT Algorithm Based on Kalman Filter and Improved Particle Swarm Optimization Algorithm.

PAN Haipeng, LI Minghua, LEI Jianfeng… - Light Industry …, 2022 - search.ebscohost.com
Aiming at the problems of large data fluctuation, high difficulty in accurate data collection
and slow tracking speed in the application process of particle swarm optimization algorithm …

[PDF][PDF] Photovoltaic Power Generation Systems and Applications Using Particle Swarm optimization Algorithms.

J Wang, K Wei, MD Ansari, MSA Ansari, A Verma - Electrica, 2022 - researchgate.net
In order to alleviate the great harm caused by traditional fossil energy to the natural
environment, photovoltaic power generation has become a good choice for human available …

[PDF][PDF] Simulation and Analysis for MPPT Control with Modified firefly algorithm for photovoltaic system

C Hemalatha, MV Rajkumar… - Int. J. Innov. Stud. Sci …, 2016 - researchgate.net
This paper presents the simulation and analysis of maximum power point tracking (MPPT)
control with modified firefly algorithm (MFA) for photovoltaic (PV) system. The availability of …

Application of Maximum Power Point Tracking Based on Fuzzy Control in Photovoltaic Grid\| Connected System

W Yunfei, Y Zhongdong, S Yanfei - Modern electric power, 2011 - xddl.ncepujournal.com
In order to improve the efficiency of photovoltaic (PV) grid\| connected system, and decrease
the voltage fluctuation, a novel method of maximum power point tracking (MPPT) based on …

[HTML][HTML] An improved MPPT method for photovoltaic systems based on mayfly optimization algorithm

S Mo, Q Ye, K Jiang, X Mo, G Shen - Energy Reports, 2022 - Elsevier
Because the traditional maximum power point tracking (MPPT) of photovoltaic (PV) array is
easy to fail in complex environment, and the existing intelligent optimization algorithms have …

A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions

S Titri, C Larbes, KY Toumi, K Benatchba - Applied Soft Computing, 2017 - Elsevier
Abstract The Maximum Power Point Tracking controller (MPPT) is a key element in
Photovoltaic systems (PV). It is used to maintain the PV operating point at its maximum …