A Voting Approach of Ensemble Classifier for Detection of Power Quality in Islanded PV Microgrid

Abstract

In this research, an ensemble classifier using a voting method is proposed to categorize different Power Quality events (PQEs), switching, and fault transients in solar photovoltaic (PV) connected Microgrid (MG) network. For this analysis, an islanded MG network model is developed in the MATLAB-Simulink software framework to study the various power system disturbances (PQEs, switching transients, and Line to Ground (LG) fault). The voltage/current signals of various power disturbances are used for the extraction of features by applying a discrete wavelet transform technique. Then, the individual base classifiers (Bayesian Net, Naive Bayesian, and Logistic Regression) are trained by using the extracted features in the first stage. Subsequently, the voting method of Meta classification is applied to obtain the final predictions of class events in the second level, based on the predictions of base classifiers. The classification and statistical analysis are carried out under standard test conditions (STC) and real-time-varying solar irradiance of PV. The evaluation results of classification and statistical analysis clearly show that the proposed ensemble classifier offers improved classification accuracy with superior performance than individual base classifiers under STC and uncertain conditions of solar PV.

KEYWORDS:

• Bayesian Net (BN)
• Discrete Wavelet Transform (DWT)
• Logistic Regression (LR)
• Microgrid (MG)
• Naïve Bayes (NB)
• Power Quality Events (PQE)

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

P. Thirusenthil Kumaran

P Thirusenthil Kumaran received a BE degree in electrical and electronics engineering from Anna University in 2006, an ME degree in power systems from Anna University in 2008, and the PhD degree in electrical engineering from St. Peter’s Institute of Higher Education and Research in 2018. He is currently working as an assistant professor (SS) in the Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College (Autonomous), Chennai. His research interests include power quality improvement, optimization techniques, renewable energy systems, and microgrids. Email: [email protected]

Arangarajan Vinayagam

Arangarajan Vinayagam has more than 15 years of industrial experience in the field of power plant industry and renewable energy technologies. He has additional academic experience (teaching and research) covering the area of smart grid and microgrid power systems, renewable energy technologies, power generation and distribution control, distributed generation sources, and power quality. He is a Member of IEEE and has published more than 30 research articles in reputed journals, book chapters, and international conferences. The research interests include the development of a smart microgrid power system with integrated solar PV and energy storage facility, extensive analysis of power quality and electric faults in microgrid, and large grid power system network. He has completed a PhD, a doctoral degree (in the field of PV integrated Microgrid power systems) at Deakin University, Australia. Presently, he is working as visiting professor in the Electrical and Electronics Engineering Department of New Horizon College of Engineering, Bengaluru, India.

S.T. Suganthi

S.T.Suganthi is currently working as an assistant professor, the Department of Computer Engineering, College of Engineering & Computer Science, Lebanese French University, Erbil, Kurdistan, Iraq. She is a proficient academician with over 14 years of experience in teaching and research in various educational institutions. She obtained an undergraduate degree in electrical and electronics engineering and a postgraduate degree in power systems engineering from Anna University, Chennai in 2005 and 2010, respectively. She earned her PhD degree from Anna University, Chennai in the faculty of electrical engineering in 2018. She published more than 40 research articles in various reputed international journals and conferences. Her areas of interest include power system optimization, restructured power systems, microgrids, integration of renewable sources, and evolutionary computation. Email: [email protected]

Veerapandiyan Veerasamy

Veerapandiyan Veerasamy (Member, IEEE) received his bachelor's degree in electrical and electronics engineering from Panimalar Engineering College, Chennai, India, in 2013. Master's of Engineering in power systems engineering from Government College of Technology, Coimbatore, India, in 2015. Since 2015, he worked as an Assistant Professor in the Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Chennai, India. In 2021, completed PhD in power systems from Universiti Putra Malaysia, Malaysia. Currently working as research fellow at Nanyang Technological University, Singapore and his research area includes the design of robust controllers for power system application, fault classification, and power system monitoring. Email: [email protected]

Abinaya Inbamani

Abinaya Inbamani is working as an assistant professor in the Department of Electrical and Electronics Engineering at Sri Ramakrishna Engineering College, Coimbatore. She is pursuing her doctoral degree at Anna University in the domain of renewable energy systems with IoT and ML. She did her post graduate degree in embedded systems from SASTRA University, Thanjavur. She completed her undergraduate degree in electrical and electronics engineering from Panimalar Engineering College. She has a teaching experience of five years. She is also an online educator at Unacademy and also the Coursera beta tester to her credit. She is also a technologist content writer and SEO content writer. Email: [email protected]

Jaideep Chandran

Jaideep Chandran holds a Doctor of Philosophy degree in electrical and electronics engineering, a master's degree in microelectronics engineering, and a bachelor's degree in electrical and electronics (Instrumentation and Control). He is a lecturer in electrical and electronics engineering at the School of Software and Electrical Engineering, Swinburne University of Technology, Australia. His research interests include engineering education, electronics, power electronics, and renewable energy. He has been actively involved in a number of engineering education projects based on group assessments, design-based learning, and project-based learning and the use of technology in engineering education. Jaideep has over 24 publications in peer-reviewed national and international journals and conferences. He has worked across four universities in Australia. He is a member of Engineers Australia and the Institute of Electrical & Electronics Engineers (IEEE). Email: [email protected]

Rizwan A. Farade

Rizwan A Farade received a BE degree in electrical and electronics engineering from Visvesvaraya Technological University, Belgaum, India, in 2005 and the MTech degree in power electronics from Jawaharlal Nehru Technological University, Hyderabad, India, in 2013. He is currently pursuing PhD degree in electrical and electronics engineering from University Putra Malaysia, Serdang,Malaysia. Since 2009, he had been a lecturer and assistant professor in India's diploma and undergraduate programs. Since 2014, he has been with Kalsekar Technical Campus, New Mumbai, India as assistant professor in an undergraduate program. His research interests include dielectric fluids, power system, and nano biodiesel. Email: [email protected]