Feature Extraction and Classification Techniques for Power Quality Disturbances in Distributed Generation: A Review

ABSTRACT

The purpose of this paper is to analyze the frequent power quality (PQ) issues happening in distributed generation, the outcomes of the PQ harmonics, the methods used to assess the quantity of harmonic distortion which occurs in the power system (PS), and, in the end, classification of these disturbances using recent advance artificial intelligent techniques like a neural network, fuzzy logic, and the genetic algorithm has been further stated. To protect the PS detection and classification of voltage (V) and current (I) issues are essential tasks and due to increasing interest in a distributed generation, it is becoming more popular. Most PQ disturbances are unstable and ephemeral especially in a distributed generation; therefore, the call for detection and classification of voltage and current disruptions are essential tasks to protect the PS. Many disturbances of (PQ are unpredictable and transient. By using wavelet transforms, expert systems, and artificial neural networks, some intelligent system technologies control fault analysis precisely saying it can help to detect the fault locations. The most important part of the generalized classification system of PQ events is the extraction and classification of features for PQ event classification.

KEYWORDS:

• Classifiers
• Distributed generation (DG)
• Intelligent techniques
• Power quality (PQ)
• Power quality improvement device (PQI)
• Random forest (RF)
• Signal processing techniques

Acknowledgment

The author is deeply indebted to Department of Electrical Engineering, School of Engineering, Gautam Buddha University and Department of Electrical Engineering, IIT Roorkee for providing the best of support.

Additional information

Notes on contributors

Nivedita Singh

Nivedita Singh received her master's degree in 2016 from GBU in the area of electrical power systems engineering and she is currently pursuing her doctoral research in the Department of Electrical Engineering, School of Engineering, Gautam Buddha University Gr Noida, India. Her research interests include power quality analysis, mitigation of power quality disturbances, power system stability, micro-grid, smart-grid, hybrid microgrid etc. She has hands on of experience in teaching and industry. She is member of IEEE.

M.A. Ansari

M A Ansari received BTech (Electrical Engineering) in 1998 from AMU Aligarh India, MTech (ISP) and PhD in 2001 and 2009, respectively from Indian Institute of Technology, Roorkee, India. The author has taught in several national and international universities globally. He is currently associated with the Department of Electrical Engineering, School of Engineering, Gautam Buddha University, Gr Noida, NCR Delhi, India. His research interests include digital image processing, medical imaging, biomedical instrumentation, control and energy, power quality analysis, soft computing, AI, ML and wavelet applications to engineering problems. He is a senior member of IEEE, ISIAM and has published more than 200 papers in reputed national and international Journals & conferences and has guided several MTech dissertations and PhDs. He is currently looking after as research coordinator in the School of Engineering, Gautam Buddha University, India. Email: [email protected]

Manoj Tripathy

Manoj Tripathy is currently working as an associate professor, with the Electrical Engineering Department, IIT Roorkee, Roorkee, India. His research interests includes power system protection, application of AI in Development of digital relays, relay testing, smart grid protection, microgrid protection, speech signal enhancement, smart metering system, testing of electrical equipment, calibration of meters, power system automation, protection scheme development for a line with FACTS devices, digital signal and image processing, signal and image processing problems, applying machine learning to inverse problems. Email: [email protected]

Vivek Pratap Singh

Vivek Pratap Singh is currently pursuing his post-graduation at Dept. of Electrical Engineering, Gautam Buddha University Gr. Noida, India. His research interests include power quality analysis, mitigation of power quality disturbances, three-phase VSI using fuzzy logic controller and power system stability etc. He is a Member of IEEE. Email: [email protected]