Modelling of Neural Network-based MPPT Controller for Wind Turbine Energy System-Reference-Cited by-同舟云学术

Modelling of Neural Network-based MPPT Controller for Wind Turbine Energy System

Published:2022 Issue: Volume: Page:429-439
ISSN:1876-1100
Container-title:Control and Measurement Applications for Smart Grid
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Author:

Karthik Ramireddy,Harsh Harshit,Pavan Kumar Y. V.,John Pradeep D.,Pradeep Reddy Ch.,Kannan Ramani

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7664-2_35

Reference17 articles.

1. Karthik R, Hari AS, Kumar YVP, Pradeep DJ (2020) Modelling and control design for variable speed wind turbine energy system. In: 2020 International conference on artificial intelligence and signal processing (AISP 2020), Amaravati, India, pp 1–6

2. Ramireddy K, Hari AS, Kumar YVP (2021) Artificial intelligence based control methods for speed control of wind turbine energy system. Intell Comput Control Commun 702:203–217

3. Nasiri M, Milimonfared J, Fathi SH (2014) Modeling, analysis and comparison of TSR and OTC methods for MPPT and power smoothing in permanent magnet synchronous generator-based wind turbines. J Energy Convers Manag 86:892–900

4. Balasundar C, Sudharshanan S, Elakkiyavendan R (2015) Design of an optimal tip speed ratio control MPPT algorithm for standalone WECS. Int J Res Appl Sci Eng Technol 3:442–450

5. Ibarra E, Kortabarria I, Andreu J, Martinez de Alegria I, Martin J, Ibanez P (2012) Improvement of the design process of matrix converter platforms using the switching state matrix averaging simulation method. IEEE Trans Ind Electron 59:220–234

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