Noise-resilient fault and power quality event detection, classification, and localization in renewable-integrated distribution networks using EMD–SVM

Key Points

• Improved power quality event detection enhances system resilience against noise disturbances, achieving significant reliability improvements.
• Key evidence shows the method achieved over 90% detection accuracy in noisy environments across varied conditions.
• Analysis using empirical methods demonstrates fault detection and event classification via EMD and SVM techniques.
• This highlights the potential to enable more reliable renewable energy integration into existing distribution networks.