Open AccessClassification of Power Quality Events - An Inclusive Review
Author(s) -
Bharat Bhushan Sharma,
Kawal Preet Singh,
Anjan Patel,
Anuj Banshwar,
Naveen Kumar Sharma,
Mohit Pathak
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1854/1/012020
Subject(s) - quality (philosophy) , field (mathematics) , computer science , electronics , risk analysis (engineering) , power (physics) , electric power , power quality , reliability engineering , data science , systems engineering , engineering , electrical engineering , business , philosophy , physics , mathematics , epistemology , quantum mechanics , voltage , pure mathematics
Power Quality is major issue that has led to large amount of research by the industry and academic experts. The increased uses of the electronics in electrical utilities have created a need of monitoring the power quality and provide the mitigation to enhance the performance of the electrical equipment. With advancement in technologies and availability of various online monitoring tools, it is very important to assess and review these technologies. The increased rate of research in this field is proven to be beneficial to the consumers. Customers are now able to request for better quality of service and making the Power Quality issue more important. This paper provide an inclusive review of various application of signal processing on power quality events, analysis of artificial intelligent techniques to classify the signals and optimization techniques for decision making. The paper also explores the upcoming opportunities for power quality classification and further improvement in terms of higher performance of the electrical equipment.