Adaptive Neuro Sliding Mode Control of Superconducting Magnetic Energy Storage System-Reference-Cited by-同舟云学术

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Adaptive Neuro Sliding Mode Control of Superconducting Magnetic Energy Storage System

Published:2022-05-22 Issue: Volume: Page:1-9
ISSN:2308-0477
Container-title:Smart Science
language:en
Short-container-title:Smart Science

Author:

Thoker Zahid Afzal¹^ORCID,Lone Shameem Ahmad¹^ORCID

Affiliation:

1. Electrical Engineering, National Institute of Technology Srinagar, Srinagar, India

Publisher

Informa UK Limited

Subject

Computational Mathematics,Computer Networks and Communications,Fluid Flow and Transfer Processes,General Engineering,Energy (miscellaneous),Modeling and Simulation,Chemistry (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/23080477.2022.2074659

Reference28 articles.

1. Global status of wind power generation: theory, practice, and challenges

2. Wind/diesel energy systems: Review of design options and recent developments

3. Sliding mode load frequency control for multi‐area time‐delay power system with wind power integration

4. A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration

5. Molina M. Dynamic modelling and control design of advanced energy storage for power system applications. 2010.

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