Enhanced Power Quality and Forecasting for PV-Wind Microgrid Using Proactive Shunt Power Filter and Neural Network-Based Time Series Forecasting

Abstract

This research proposes a proactive Shunt power filter to enhance the energy quality of a microgrid’s distribution. The study aims to identify a suitable controller technique for increasing the compensating capacity of the active filter in a PV-Wind hybrid energy production system, enabling voltage management and stabilization in direct current energy conversion facilities. The proposed control system utilizes a modified fuzzy logic algorithm for an enhanced performance active shunt energy filter. Simulations in the SIMULINK and MATLAB model environment validate the effectiveness of the methods. Additionally, a neural network model with a scrolling time frame is proposed to address the nonlinearity and time-varying nature of electricity generation from PV modules. The adaptable forecasting model using the neural network outperforms fixed prediction models in accuracy and computational efficiency. This approach has the potential to significantly improve power quality and forecasting accuracy for real-world PV power production.

Keywords:

• solar and wind
• fuzzy logic
• PV-Wind hybrid renewable energy systems

Acknowledgement

There is no acknowledgement involved in this work.

Authorship Contributions

All authors are contributed equally to this work

Disclosure Statement

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

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study

Ethics Approval and Consent to Participate

No participation of humans takes place in this implementation process

Human and Animal Rights

No violation of Human and Animal Rights is involved.

Additional information

Notes on contributors

Rajesh Tiwari

Rajesh Tiwari is working as a Professor in CMR Engineering College, Hyderabad, Telangana, India. He is having more than 25 years of Teaching and Industries experience. He has completed his Ph.D. in 2020 from Chhattishgarh Swamy Vivekanand Technical University, Bhilai, India, in the field of High Performance Computing under Computer Science and Engineering Department. He is having 62 Research Publications, 1 Book, 7 Book chapters and 11 Patents. He has guided 27 MTech scholars and guiding 6 PhD scholars. He is member of various professional societies like IEEE, IE (India), ISTE and many more. Currently he is the chairperson of the Membership Development Committee of IEEE Hyderabad section of Region 10. He has chaired more than 7 National and International conferences. He has organized more than 10 International conferences. His research area is HPC, Parallel computing, Cloud computing, AI & ML and Data science.

M. Senthil Kumar

M. Senthil Kumar is the Principal of Sree Dattha Group of Institutions, Hyderabad. He obtained his BE in Electronics and Communication Engineering from SCSVMV University, Kanchipuram, ME in Applied Electronics from Anna University, Chennai, PhD in the area of VLSI Design from SCSVMV University, Kanchipuram and MBA from Alagappa University, Karaikudi. He has 19 years teaching, research and administration experience. His specializations include Low Power VLSI Circuit Design, Linear Integrated Circuits, Cryptography, Image Processing and Internet of Things. He is the Gold Medallist in BE. He has published around 24 papers in international journals and conferences. He has filed 9 patents in both India and Abroad. He has evaluated PhD Thesis for more than 10 research scholars and acted as external examiner for PhD viva-voce. He has acted as Academic Council Member of SCSVMV University, Kanchipuram for 3 years. He is the Fellow of Institution of Electronics and Telecommunication Engineers and Life Member of the Indian Society for Technical Education.

Tarun Dhar Diwan

Tarun Dhar Diwan received his M. Tech. and Ph.D. degree from Chhattisgarh Swami Vivekanand Technical University, Bhilai in Computer Science & Engineering, M. Phil., MBA (Human Resource Management) From IGNOU, LLB from Atal Bihari Vajpayee University, Bilaspur. He has published more than 75 research papers in International Journals and Conferences of high repute Journals (Including Science Direct Journals). He holds Fifteen patents (including those from India and Australia, USA), and has written seven books.

Latika Pinjarkar

Latika Pinjarkar has obtained a BE degree in Computer Technology from Nagpur University, MH in 1999 and M. Tech degree in Computer Technology and Application from CSVTU, CG, India in 2008. She obtained her PhD in Computer Science and Engineering from CSVTU CG, India in 2019. She has been engaged in research and teaching for more than 22 years. At present she is Associate Professor and Academic Head in CSE Department at Symbiosis Institute of Technology Nagpur, Symbiosis International (Deemed University) Pune, MH India. She has presented more than 40 papers in International/National Journals/ Conferences and having 05 Patents to her credit. She has completed one research project sponsored by TEQIP-III. Her research interests include Image Processing, Computer Vision, Content Based Image Retrieval (CBIR) and Machine Learning.

Kamal Mehta

Kamal Mehta is a researcher and academician with extensive experience in teaching and institutional building. His specialization includes High-Performance Computing, Processor Design and Simulation, Low Power CPU modelling, Parallel Algorithm development. His research findings have been widely published which contains 35 research papers and books for Masters and Doctoral level. He obtained B Tech in Computers in 1994 from RTM university Nagpur and M Tech (Computers) from National Institute of Technology Raipur Chhattisgarh in 2002. He received PhD degree in 2012 from Technical University of Chhattisgarh Bhilai. Dr Mehta investigated research projects funded by various research agencies like All India Council for Technical Education, New Delhi under Research Promotion scheme, TEQIP-III and SAC- ISRO, as supervisor. He has administered 15 M Tech Dissertations and 05 PhD in the area of Biometric based Security and High-Performance Computing. He is a life member of Computer Society of India, Indian Society for Technical Education, Institution of Engineers Kolkata. He was also associated with World Congress in Applied computing USA (2004-2008) and organized various international conferences during his tenure. Dr Mehta received “Engineering Excellence Award” in 2012 by Institution of Engineers. He is also associated as “Founder” to Lilavati Foundation (NGO) for child and women welfare. Presently he is working as Professor (Computer Engineering) Bharti Vidyapeeth, Deemed University Pune.

Himanshu Nayak

Himanshu Nayak is Assistant Professor of Dept. of Computer Science and Engineering (Artificial Intelligence and Machine Learning) in CMR Engineering College Hyderabad Telangana. He has completed his B.E. in Information Technology from M M college of Technology Raipur, CSVTU Bhilai (C.G.) in 2012. He obtained his M. Tech degree in Computer Technology and Application from Shri Shankaracharya Group of Institution Bhilai, Swami Vivekanand Technical University Bhilai (C.G.) in 2015. He is having 8 years of Teaching experience in Engineering college. His research work is Parallel Computing, Cloud Computing, Artificial Intelligence, Machine Learning.

Raghunath Reddy

Raghunath Reddy completed his PhD from IIIT-H Hyderabad. He is working as a professor in Computer Science and Engineering Dept. at CMR Engineering College, Medchal, Hyderabad, Telangana, India. Completed M. Tech from the Pondicherry Central University. He has a total of 21 years of teaching experience and a 2 years industry experience. Member of ISTE. His research areas are Data Science, Machine learning and its applications.

Ankita Nigam

Ankita Nigam, MCA, ME, Ph.D., is presently working as a Professor in Princeton Institute of Engineering and Technology for women Hyderabad (JNTUH Affiliated). I have completed MCA in 2009 from IGNOU. I have completed M.E (Software System) in 2009 from SRIT Jabalpur. I have completed PhD (CSE) in December 2021 Mewar University. My total work experience in academic field is nearly 16 years. Also, I have industrial experience of 3 years. I have published 02 Patents, 11 international papers and presented 06 papers in international/national conferences.

Rajeev Shrivastava

Rajeev Shrivastava BE, ME, Ph.D. is presently working as a Principal in Princeton Institute of Engineering and Technology for women Hyderabad (JNTUH Affiliated). I have completed B.E. (Electronics & Communication) in 2002 from GRKIST Jabalpur. I have completed M.E (Digital Communication) in 2009 from SRIT Jabalpur. I have completed PhD (ECE) in December 2016 from JVWU Jaipur. My total work experience in academic field is nearly 16 years. Also, I have industrial experience of 3 years. I have published 16 Patents, 50 international papers and presented 32 papers in international/national conferences. I have also published 05 books. I also got young scientist award in 2017 and International award for teachers with higher potential in 2018.