Modeling and control of grid connected intelligent hybrid photovoltaic system using new hybrid fuzzy-neural method-Reference-Cited by-同舟云学术

Modeling and control of grid connected intelligent hybrid photovoltaic system using new hybrid fuzzy-neural method

Published:2016-04 Issue: Volume:127 Page:1-18
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Rezvani Alireza,Gandomkar Majid

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference25 articles.

1. Training data optimization for ANNs using genetic algorithms to enhance MPPT efficiency of a stand-alone PV system;Afsin;Turkish J. Electr. Eng. Comput. Sci.,2012

2. An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency;Ahmed;Appl. Energy,2015

3. Maximum power point tracking using fuzzy logic control;Algazar;Int. J. Electr. Power Energy Syst.,2012

4. Polymer electrolytes and perovskites: lights and shadows in photovoltaic devices;Bella;Electrochim. Acta,2015

5. Overview of control and grid synchronization for distributed power generation systems;Blaabjerg;IEEE Trans. Ind. Electron.,2006

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing PV power generation via an adaptive neuro-fuzzy and fast terminal synergetic MPPT approach;Measurement and Control;2024-08-24

2. Enhancing power generation via an adaptive neuro-fuzzy and backstepping maximum-power-point tracking approach for photovoltaic single-ended primary inductor converter system;Clean Energy;2024-06-22

3. Performance Enhancement of MPPT Controller to Tune Optimal Voltage for PV-BES System Using Converged Barnacles Mating Optimizer Algorithm Based ANFIS;International Journal of Fuzzy Systems;2023-11-30

4. Intelligence Artificial Algorithm-Based on Sliding Mode Control MPPT for a Photovoltaic System;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03

5. Adaptive neuro-fuzzy inference system algorithm-based robust terminal sliding mode control MPPT for a photovoltaic system;Transactions of the Institute of Measurement and Control;2023-05-24