Feedback-Linearization-Based Fuel-Cell Adaptive-Control Paradigm in a Microgrid Using a Wavelet-Entrenched NeuroFuzzy Framework
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Shivashankar Sukumar & Marayati Marsadek & Agileswari Ramasamy & Hazlie Mokhlis & Saad Mekhilef, 2017. "A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System," Energies, MDPI, vol. 10(11), pages 1-17, October.
- Muhammad Awais & Laiq Khan & Saghir Ahmad & Sidra Mumtaz & Rabiah Badar, 2020. "Nonlinear adaptive NeuroFuzzy feedback linearization based MPPT control schemes for photovoltaic system in microgrid," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-36, June.
- Yonghui Li & Qiuwei Wu & Haiyu Zhu, 2015. "Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation," Energies, MDPI, vol. 8(3), pages 1-21, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Amrutha Raju Battula & Sandeep Vuddanti & Surender Reddy Salkuti, 2021. "Review of Energy Management System Approaches in Microgrids," Energies, MDPI, vol. 14(17), pages 1-32, September.
- Rasool Kahani & Mohsin Jamil & M. Tariq Iqbal, 2022. "Direct Model Reference Adaptive Control of a Boost Converter for Voltage Regulation in Microgrids," Energies, MDPI, vol. 15(14), pages 1-19, July.
- Muhammad Awais & Laiq Khan & Said Ghani Khan & Qasim Awais & Mohsin Jamil, 2023. "Adaptive Neural Network Q-Learning-Based Full Recurrent Adaptive NeuroFuzzy Nonlinear Control Paradigms for Bidirectional-Interlinking Converter in a Grid-Connected Hybrid AC-DC Microgrid," Energies, MDPI, vol. 16(4), pages 1-40, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nicu Bizon & Mircea Raceanu & Emmanouel Koudoumas & Adriana Marinoiu & Emmanuel Karapidakis & Elena Carcadea, 2020. "Renewable/Fuel Cell Hybrid Power System Operation Using Two Search Controllers of the Optimal Power Needed on the DC Bus," Energies, MDPI, vol. 13(22), pages 1-26, November.
- Ramadhani, Farah & Hussain, M.A. & Mokhlis, Hazlie & Fazly, Muhamad & Ali, Jarinah Mohd., 2019. "Evaluation of solid oxide fuel cell based polygeneration system in residential areas integrating with electric charging and hydrogen fueling stations for vehicles," Applied Energy, Elsevier, vol. 238(C), pages 1373-1388.
- Nebiyu Kedir & Phuong H. D. Nguyen & Citlaly Pérez & Pedro Ponce & Aminah Robinson Fayek, 2023. "Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation," Energies, MDPI, vol. 16(9), pages 1-38, April.
- Qixiang Yan & Ibrahim Adamu Tasiu & Hong Chen & Yuting Zhang & Siqi Wu & Zhigang Liu, 2019. "Design and Hardware-in-the-Loop Implementation of Fuzzy-Based Proportional-Integral Control for the Traction Line-Side Converter of a High-Speed Train," Energies, MDPI, vol. 12(21), pages 1-24, October.
- Kongrit Mansiri & Sukruedee Sukchai & Chatchai Sirisamphanwong, 2018. "Fuzzy Control for Smart PV-Battery System Management to Stabilize Grid Voltage of 22 kV Distribution System in Thailand," Energies, MDPI, vol. 11(7), pages 1-19, July.
- Khlid Ben Hamad & Doudou N. Luta & Atanda K. Raji, 2021. "A Grid-Tied Fuel Cell Multilevel Inverter with Low Harmonic Distortions," Energies, MDPI, vol. 14(3), pages 1-24, January.
- Izhar Ul Haq & Qudrat Khan & Safeer Ullah & Shahid Ahmed Khan & Rini Akmeliawati & Mehmood Ashraf Khan & Jamshed Iqbal, 2022. "Neural network-based adaptive global sliding mode MPPT controller design for stand-alone photovoltaic systems," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-29, January.
- Jing Huang & John Boland, 2018. "Performance Analysis for One-Step-Ahead Forecasting of Hybrid Solar and Wind Energy on Short Time Scales," Energies, MDPI, vol. 11(5), pages 1-12, May.
More about this item
Keywords
SOFC; microgrid; feedback linearization; Laguerre wavelet; recurrent NeuroFuzzy; hybrid power system;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1850-:d:524888. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.