人工智能在配电自动化故障定位与隔离中的应用

Key Points

• The application of artificial intelligence significantly enhances fault location and isolation in distribution systems, optimizing reliability and efficiency.
• AI techniques, particularly machine learning and deep learning, show promise for improving fault diagnosis accuracy in electrical grids.
• Evaluating traditional methods reveals their limitations in speed and adaptability, making AI a more attractive alternative for automated processes.
• Implementing AI-based strategies can lead to more efficient resource use and faster response times during outages in electrical networks.

Abstract