Power Control and Optimization for Power Loss Reduction Using Deep Learning in Microgrid Systems

Abstract

The effective management of microgrids, which incorporate DERs such as generators and batteries, is crucial for ensuring stability and efficiency in the power system. By evenly distributing the load across modules’ capabilities, frequencies, and voltages, a network of micropower systems can be created, capable of transitioning between various states such as islanding, leaving, and reentering the grid. Synchronizing controllers play a vital role in regulating these transitional phases and maintaining system stability, and we propose a Deep Learning approach for power regulation and optimization. By monitoring voltages, phases, and frequencies on both sides of the fixed switch, these controllers employ various control strategies to stabilize the system. Effective control mechanisms are necessary for achieving a sustainable energy economy as renewable energy sources become increasingly prevalent. Our analysis emphasizes the importance of such control methods in developing a reliable and efficient micropower system network.

Keywords:

• renewable energy sources
• microgrid systems
• stability and control techniques
• power management

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.

CONFLICT OF INTEREST

Conflict of Interest is not applicable in this work.

AUTHORSHIP CONTRIBUTIONS

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ACKNOWLEDGMENT

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Additional information

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Notes on contributors

Puralasetty Ashok Babu

Puralasetty Ashok Babu did his B.E in ECE from Andhra University, Vizag, in 2001, M.E in Communication Engineering from Osmania University, Hyderabad and Ph.D in High definition images from JNTUH, Hyderabad in 2017. He has 18 years of teaching experience. He is presently working as Professor & Head, ECE Department, Institute of Aeronautical Engineering, Dundigal, Hyderabad. He published 28 publications in International/National Journals and conferences. His research interests include Communications, Signal and Image processing and Electromagnetics.

Javanna Latheef Mazher Iqbal

Javanna Latheef Mazher Iqbal is a Research Professor in Electronics and Communication Engineering at Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology in Chennai. He received B.E degree in Electronics and Communication Engineering from Madurai Kamaraj University, Madurai in 1998 and a M.E degree in Applied Electronics from Anna University, Chennai in 2005, and a Ph.D. degree from Sri Venkateswara University, Tirupati in 2013.

S. Siva Priyanka

S. Siva Priyanka is an Assistant Professor in department of Electronics and Communication Engineering at Chaitanya Bharathi Institute of Technology in Hyderabad, Telangana. She received B.Tech degree in Electronics and Communication Engineering from St. Johns College of Engineering and Technology, Andhra Pradesh in 2010 and a M.Tech degree in Embedded Systems from Vignan’s University, Andhra Pradesh in 2012, and a Ph.D. degree from National Institute of Technology, Telangana in 2022. She has 6 years of teaching experience. Professional Memberships of IEEE, ISTE.

Machana Jithender Reddy

Machana Jithender Reddy received his doctorate in computer science from Osmania University in Hyderabad. He has a focus on computer networks and is certified in CCNA, MCSE, CyberOps, DevNet, and IOT Connecting Things. His experience spans 20 years. Currently, he works as an assistant professor at Vasavi College of Engineering. He published a lot of articles in both national and international Journals. For being the experienced instructor at the Cisco Networking Academy, he won numerous accolades.

Gaddam Sunil Kumar

Gaddam Sunil Kumar completed his PhD (ECE) from Sri Satya Sai University of Technology and Medical Sciences, Madhya Pradesh, India. He completed his B.Tech (ECE) and M.Tech (VLSI Signal System Design) from JNTU, Hyderabad. With 11 years of Teaching experience and 5 years of Research experience currently working in SPCOE, Pune, as HOD in E&TC Department. His research area and areas of interest are Signal Processing, Communication, VLSI Signal Processing and IoT.

Rajaram Ayyasamy

Rajaram Ayyasamy received the B.E. degree in Electronics and Communication Engineering from the Government College of Technology, Coimbatore, Anna University, Chennai, India. The M.E. degree in Electronics and Communication Engineering (Applied Electronics) from the Government College of Technology, Anna University, Chennai, India, and he received the Full Time Ph.D. degree in Electronics and Communication Engineering from the Anna University of Technology, Coimbatore, India. He is currently working as a Professor, ECE Department in E.G.S Pillay Engineering College, Nagapattinam, Tamil Nadu 611002 India. His research interests include Mobile Ad Hoc networks, wireless communication networks (WiFi, WiMax HighSlot GSM), novel VLSI NOC Design approaches to address issues such as low-power, cross-talk, hardware acceleration, Design issues includes OFDM MIMO and noise Suppression in MAI Systems, ASIC design, Control systems, Fuzzy logic and Networks, AI, Sensor Networks, Medical image processing.