Mitigation of High-Frequency Components using ANN

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.

Product details

• Authors: Kutubuddin Sayyad Liyakat Kazi
• Publisher: LAP Lambert Academic Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 27.11.2024
• EAN: 9786208415204
• ISBN: 9786208415204
• No. of pages: 80
• Subject: Natural sciences, medicine, IT, technology > Physics, astronomy > Electricity, magnetism, optics