An adaptive power point tracker in wind photovoltaic system using an optimized deep learning framework
Author:
Affiliation:
1. Department of Electrical Engineering, College of Engineering, Majmaah University, AL-Majmaah-11952, Saudi Arabia
2. Department of Computer Science Engineering, Sri Padmavati Mahila Visvavidyalayam Tirupati, India
Funder
Majmaah University
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2022.2081385
Reference34 articles.
1. https://ember-climate.org/insights/research/global-electricity-review-2022/
2. Investigation of MPPT Techniques Under Uniform and Non-Uniform Solar Irradiation Condition–A Retrospection
3. An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
4. A hybrid wind driven-based fruit fly optimization algorithm for identifying the parameters of a double-diode photovoltaic cell model considering degradation effects
5. Grid interfaced solar photovoltaic system using ZA-LMS based control algorithm
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