Mitigation of High-Frequency Components using ANN

By: Kazi, Kutubuddin Sayyad Liyakat

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.

• Format: Paperback
• Language: English
• ISBN: 6208415209
• ISBN13: 9786208415204
• Release Date: November 2024
• Publisher: LAP Lambert Academic Publishing
• Length: 80 Pages
• Weight: 0.28 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"