Mitigation of High- Frequency Components in Distribution System using Artificial Neural Network

Registration ID: IJNRD_224895

Published ID: IJNRD2407142

DOI: Click Here to Get

Masal Ranubai Vilas , Prof.R.T.Bansode , Prof.S.R.Kadam

ANN, HF-Components, Distribution System, Renewable energy Sources, Fuzzy Controller.

Abstract- Artificial Neural Networks (ANNs) are a powerful tool that can be used to mitigate the high-frequency components in a modern distribution system. ANNs are able to learn from data and identify patterns that can be used to predict and control the behavior of the system. In this study, an ANN was used to predict the high-frequency components of the system and to develop a control strategy to mitigate their effects. The results of the study showed that the ANN was able to accurately predict the high-frequency components of the system and that the control strategy was able to effectively mitigate their effects. This study demonstrates the potential of ANNs for mitigating the high-frequency components in a modern distribution system. This work presents a novel approach to mitigating high-frequency components in a modern distribution system using an Artificial Neural Network (ANN). The proposed method utilizes the capability of an ANN to learn the complex relationship between system parameters and high-frequency voltage harmonics. The trained ANN model is then used to predict the high-frequency components and generate control signals to mitigate them. Experimental results demonstrate the effectiveness of the proposed method in reducing high-frequency voltage harmonics and improving system stability.

Published Paper   E-Certificate

Masal Ranubai Vilas, Prof.R.T.Bansode, & Prof.S.R.Kadam (July-2024). Mitigation of High- Frequency Components in Distribution System using Artificial Neural Network. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), b393-b402. https://ijnrd.org/papers/IJNRD2407142.pdf

Volume 9 Issue 7, July-2024

Pages : b393-b402

Paper Reg. ID: IJNRD_224895

Published Paper Id: IJNRD2407142

Downloads: 000121983

Research Area: Electrical Engineering 

Country: solapur, MAHARASHTRA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407142.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407142

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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