A Power Aware Long Short-Term Memory with Deep Brief Network Based Microgrid Framework to Maintain Sustainable Energy Management and Load Balancing

Authors

  • N. Gowtham Department of Electrical and Electronics Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India
  • V. Prema Department of Electrical and Electronics Engineering, B.M.S. College of Engineering Bengaluru, India
  • Mahmoud F. Elmorshedy 1) Renewable Energy Lab, Department of Electrical Engineering, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia 2) Electrical Power and Machines Engineering Department, Faculty of Engineering, Tanta University, Tanta 31733, Egypt
  • M. S. Bhaskar Renewable Energy Lab, Department of Electrical Engineering, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia
  • Dhafer J. Almakhles Renewable Energy Lab, Department of Electrical Engineering, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

DOI:

https://doi.org/10.13052/dgaej2156-3306.3911

Keywords:

Load forecasting, LSTM-DBN, RDHH, electrical vehicle, community microgrid

Abstract

Microgrids are seen as the future of reliable, sustainable and green energy source for myriad applications. The increasing dependence on microgrid also adds challenges on reliable management of power supply to vividly variant consumers, the major chunk being households coupled with an unprecedented rise in the demand for EV charging. This study aims at presenting a deep Long Short-Term Memory with Deep Brief Network model to reliably predict the grouped energy load and solar energy outcome in a community microgrid. A cutting-edge hybrid metaheuristic algorithm will be taken into consideration for optimizing the load dispatch of community microgrids that are connected to the grid. Three different scheduling scenarios are evaluated to establish an ideal dispatching design for a grid-linked community microgrid with solar elements and energy storage systems feeding electricity loads and charging electric vehicles. The prediction outcomes are integrated into the model to accommodate the uncertainties associated with solar energy outcome and residential energy load and EV charging to achieve a supply-demand equilibrium. The objective of the proposed model is to obtain an energy-efficient system capable of balancing the load and power of microgrid system which remains unperturbed by the aforesaid oscillations.

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Author Biographies

N. Gowtham, Department of Electrical and Electronics Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India

N. Gowtham received bachelor’s degree in Electrical and Electronics Engineering from the Vidyavardhaka College of Engineering, Mysuru, in 2011, M.Tech. degree in Microelectronics and Control Systems from the Dayananda Sagar College of Engineering, Bengaluru, in 2013, and Ph.D. degree in Electrical Power Quality from Visvesvaraya Technological University, Belagavi in 2020. He was a Research Fellow with IIT Delhi. He worked with Bosch Automotive Electronics, Bengaluru. Currently he is working as an Associate Professor with the Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Bengaluru. He has published books and book chapters. He has authored more than 20 research papers in reputed conferences and journals. His research interests include applications of power electronics to power systems, power quality, integration of RE into LV/MV grid, and engineering education.

V. Prema, Department of Electrical and Electronics Engineering, B.M.S. College of Engineering Bengaluru, India

V. Prema was born in Thiruvananthapuram, Kerala, India. She received the B.Tech. degree in electrical engineering from Calicut University, in 2001, and the M.Tech. degree in power electronics and the Ph.D. degree in electrical engineering from Visvesvaraya Technological University, in 2005 and 2018, respectively. She has 21 years of teaching and industry experience. She is currently working as an Associate Professor with the B.M.S. College of Engineering, Bengaluru. She has authored more than 40 papers in various journals and conferences. Her research interests include renewable energy, forecasting, and power electronics.

Mahmoud F. Elmorshedy, 1) Renewable Energy Lab, Department of Electrical Engineering, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia 2) Electrical Power and Machines Engineering Department, Faculty of Engineering, Tanta University, Tanta 31733, Egypt

Mahmoud F. Elmorshedy was born in Gharbeya, Egypt, in 1989. He received the B.Sc. and M.Sc. degrees in electrical engineering from Tanta University, Egypt, in 2012 and 2016, respectively, and the Ph.D. degree in electrical engineering from the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, China, in 2020. He started working as a Teaching Assistant with the Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University, in 2013, where he was promoted to an Assistant Lecturer, in June 2016. He is currently working as an Assistant Professor (On academic leave) with the Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University. His current job is a Postdoctoral Fellow with the Renewable Energy Laboratory, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia. His research interests include linear induction motor, predictive control, power electronics, and renewable energy.

M. S. Bhaskar, Renewable Energy Lab, Department of Electrical Engineering, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

M. S. Bhaskar received the bachelor’s degree in electronics and telecommunication engineering from the University of Mumbai, Mumbai, India in 2011 and a master’s degree in power electronics and drives from the Vellore Institute of Technology, VIT University, India in 2014, and Ph.D. in Electrical and Electronic Engineering, University of Johannesburg, South Africa in 2019. He is with Renewable Energy Lab, Department of Communications and Networks Engineering, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia. He was a Post-Doctoral researcher with his Ph.D. tutor in the Department of Energy Technology, Aalborg University, Esbjerg, Denmark in 2019. He worked as a Researcher Assistant in the Department of Electrical Engineering, Qatar University, Doha, Qatar in 2018–2019. He worked as a Research Student with Power Quality Research Group, Department of Electrical Power Engineering, Universiti Tenaga Nasional (UNITEN), Kuala Lumpur, Malaysia in Aug/Sept 2017. He has authored 150 plus scientific papers with particular reference to DC/DC and DC/AC converter, and high gain converter, and received the Best Research Paper Awards from IEEE-GPECOM’20, IEEE-CENCON’19, IEEE-ICCPCT’14, IET-CEAT’16. He is a senior member of IEEE, IEEE Industrial Electronics, Power Electronics, Industrial Application, Robotics and Automation, Vehicular Technology Societies, Young Professionals, various IEEE Councils, and Technical Communities. He is a reviewer member of various international journals and conferences, including IEEE and IET. He received the IEEE ACCESS award “Reviewer of Month” in Jan 2019 for his valuable and thorough feedback on manuscripts, and for his quick turnaround on reviews. He is an Associate Editor of IET Power Electronics (UK), IET The Journal of Engineering (UK), Springer – Green Technology, Resilience, and Sustainability, River Publisher – Distributed generation and Alternative energy, Journal of Power and Energy Engg., Scientific Research and Topic Editor of MDPI Electronics, Switzerland.

Dhafer J. Almakhles, Renewable Energy Lab, Department of Electrical Engineering, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

Dhafer J. Almakhles received the B.E. degree in electrical engineering from the King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, in 2006, and the Master’s (Hons.) and Ph.D. degrees from The University of Auckland, New Zealand, in 2011 and 2016, respectively. Since 2016, he has been with Prince Sultan University, Saudi Arabia, where he is currently the Chairperson of the Communications and Networks Engineering Department and the Director of the Science and Technology Unit. He is also the Leader of the Renewable Energy Research Team and the Laboratory at Prince Sultan University. His research interests include the hardware implementation of control theory, signal processing, networked control systems, and sliding mode.

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Published

2023-10-30

How to Cite

Gowtham, N. ., Prema, V. ., Elmorshedy, M. F. ., Bhaskar, M. S. ., & Almakhles, D. J. . (2023). A Power Aware Long Short-Term Memory with Deep Brief Network Based Microgrid Framework to Maintain Sustainable Energy Management and Load Balancing. Distributed Generation &Amp; Alternative Energy Journal, 39(01), 1–26. https://doi.org/10.13052/dgaej2156-3306.3911

Issue

2024: Vol 39 Iss 1

Section

Renewable Power & Energy Systems