Performance Evaluation of Grid-Connected Photovoltaic System Using EHO-Tuned VPTIDF and DQC-Based SPWM-Reference-Cited by-同舟云学术

Performance Evaluation of Grid-Connected Photovoltaic System Using EHO-Tuned VPTIDF and DQC-Based SPWM

Published:2022-09-24 Issue:1 Volume:47 Page:35-60
ISSN:2228-6179
Container-title:Iranian Journal of Science and Technology, Transactions of Electrical Engineering
language:en
Short-container-title:Iran J Sci Technol Trans Electr Eng

Author:

Patra Akshaya Kumar,Rath Debswarup

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s40998-022-00541-1.pdf

Reference29 articles.

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3. Ben MA, Hammami MA, Sioud K (2017) Stability of fractional-order nonlinear systems depending on a parameter. Bulletin Korean Math Soc 54(4):1309–1321. https://doi.org/10.4134/BKMS.b160555

4. Bilski J, Kowalczyk B, Marchlewska A, Zurada JM (2020) Local Levenberg-Marquardt algorithm for learning feedforwad neural networks. J Artif Intel Soft Comput Res 10(4):299–306. https://doi.org/10.2478/jaiscr-2020-0020

5. Çelik Ö, Tan A, Inci M, Teke A (2020) Improvement of energy harvesting capability in grid-connected PV micro-inverters. Energy Sour Part A Recovery Util Environ Effects 1(1):1–25. https://doi.org/10.1080/15567036.2020.1755389

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