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.

Détails du produit

• Auteurs: Kutubuddin Sayyad Liyakat Kazi
• Edition: LAP Lambert Academic Publishing
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 27.11.2024
• EAN: 9786208415204
• ISBN: 9786208415204
• Pages: 80
• Catégorie: Sciences naturelles, médecine, informatique, technique > Physique, astronomie > Electricité, magnétisme, optique