Power Quality assessment of Thyristor controlled Reactor supported inductively Coupled Hybrid DSTATCOM using Deep learning-Reference-Cited by-同舟云学术

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Power Quality assessment of Thyristor controlled Reactor supported inductively Coupled Hybrid DSTATCOM using Deep learning

Published:2023-12-10 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC)
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Author:

Kundala Praveen Kumar Yadav¹,Mangaraj Mrutyunjaya²,VijayThakur Rohan³,Sabat Jogeswara⁴

Affiliation:

1. Lendi Institute of Engineering and Technology,Department of EEE,Vizianagaram,India

2. SRM University, Amaravati,Department of EEE,Andhrapradesh,India

3. Prof Ram Meghe College of Engineering & Management,Department of Electrical Engineering,Badnera,India

4. OUTR,Department of Electrical Engineering,Odisha,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430419/10430423/10430873.pdf?arnumber=10430873

Reference10 articles.

1. Investigating the performance of DSTATCOM using ADALINE based LMS algorithm

2. Intelligent PV Power System With Unbalanced Current Compensation Using CFNN-AMF

3. Experimental Investigation of Recurrent Neural Network Fractional-Order Sliding Mode Control of Active Power Filter

4. Robust Intelligent Control for a Class of Power-Electronic Converters Using Neuro-Fuzzy Learning Mechanism

5. An Improved Adaptive Control Strategy in Grid-Tied PV System With Active Power Filter for Power Quality Enhancement

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