Modeling and Optimization of Signals Using Machine Learning Techniques

7Power Quality Events Classification Using Digital Signal Processing and Machine Learning Techniques

E. Fantin Irudaya Raj^1* and M. Balaji²

¹Department of Electrical and Electronics Engineering, Dr. Sivanthi Aditanar College of Engineering, Tamil Nadu, India

²Sri Sivasubramania Nadar College of Engineering, Tamil Nadu, India

Abstract

Good quality electrical power is mandatory for the correct operation of electronic equipment in industrial, commercial, and residential appliances. Due to the arrival of many electronic devices and many nonlinear loads connected to the consumer side, faults occur in the power system, and lightning-like natural events cause various power quality (PQ) problems in the modern power system. It will lead to various issues like the malfunction of the protective devices in the substation, permanent damage to the sensitive equipment in home appliances, and faulty operation of medical equipment. There are numerous techniques adopted for mitigating these power quality problems by using flexible alternating current transmission system (FACTS) devices, active and passive filters, adopting various standards prescribed by IEEE, IEC, ANSI, etc. in manufacturing industries. The first step in solving the PQ issue is identifying and classifying PQ events more accurately. For this purpose, the digital signal processing technique and machine learning methodologies are adopted. In this process, a feature extraction technique is employed to extract features from the ...