Professor Behnam Mohammadi-Ivatloo
University of Tabriz
Faculty of Electrical and Computer Engineering, Tabriz, Iran
Behnam Mohammadi-Ivatloo (Senior Member, IEEE) received the M.Sc. and Ph.D. degrees in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2008 and 2012, respectively.,He is currently a Professor with the University of Tabriz, Tabriz, Iran, where he is also the Head of the Smart Energy Systems Lab. He is an Advisory Board Member of the Information Technologies Application and Research Center, İstanbul Ticaret University, Istanbul, Turkey. He is included in the 2018–2021 Thomson Reuters’ list of the top 1% most cited researchers. His main areas of interest are integrated energy systems, renewable energies, microgrid systems, and smart grids.(Based on document published on 1 March 2022).
Associate Professor Mahendra V Chilukuri
School of Electrical Engineering, Department of Energy and Power Electronics
Chilukuri graduated with BEngg in Electrical and Electronics Engineering, MEngg in Power Systems and Automation from the Andhra University, India and PhD in Electrical Engineering from Multimedia University, Cyberjaya. He was a Lecturer at Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia from 2001-12. He was an Assistant Professor at the Department of Electrical and Electronics Engineering, University of Nottingham Malaysia Campus from 2012 – 2015. He was a project consultant for Nottingham MyResearch on “Benchmarking Malaysian Data Centre Energy Efficiency” and prepared “Green Data Centre Road Map” to Multimedia Development Corporation (MDeC), Malaysia. He conducted a symposium on “Tropical Data Centre Energy Efficiency”, ALOFT Hotel, Kuala Lumpur, 14th Dec 2014 and Chaired the panel discussion. Since, May 2016 he is an Associate Professor of Power Systems and Smart Grid at the School of Electrical Engineering, Vellore Institute of Technology University, Vellore, India.
Report title：Power Quality & Condition Monitoring in Smart Energy Networks
Power quality (PQ) is crucial to the ICT industry, Data Centres and Digital Transformation. Recently, there has been an increase in Renewable Energy(RE) penetration into the grid, Electrification of the Transportation sector through an increase in the use of Electric Vehicles (EV) and EV Charging stations in the distribution system to reduce carbon emission. It requires more attention to Power Quality as RE and EV integration in distribution brings more PQ issues such as Supraharmonics, Voltage Flicker, and Voltage Distortion. Studying the power quality phenomenon in the Smart Grid requires advanced signal processing methods for measurement and analysis. The application of Time-Frequency Analysis and Machine Learning to analyze power quality and diagnostics will become more important than ever. Subsynchronous Oscillations/Resonance (SSO/SSR) is a significant phenomenon in Wind Energy Integration into Smart Grid. Since 2009, there have been several SSO events causing damage to wind turbines across the world. The increased integration of wind energy systems to the electric grid with series compensation leads to SSO with Type-3/4 Wind Turbines. In addition, it may also occur due to low SCR (weak grid), inverter controls connected to a series capacitor, and HVDC/STATCOM system. Recently, IEEE PES Task Force on SSO published a TR-80 Report focusing on modeling and analysis of SSO. Studying the SSO phenomenon in the Smart Grid requires advanced signal processing methods for measurement and analysis. This webinar will discuss SSO's modeling, detection, and research in the Smart Grid. The application of Time-Frequency Signal Processing and Machine Learning for studying SSO/SSR phenomenon under flicker and noise. Design of protection for the Wind Turbines as well as the system. It will also help in the revision of IEEE Distributed Generation Standard 1547. This keynote speech will discuss the future of Power Quality in Smart Energy Networks and its importance in developing new standards or revising the existing standard.
Professor Amjad Anvari-Moghaddam
Aalborg university/ Department of Energy (AAU Energy)
Amjad Anvari-Moghaddam is an Associate Professor and Leader of Intelligent Energy Systems and Flexible Markets (iGRIDS) Research Group at the Department of Energy (AAU Energy), Aalborg University where he is also acting as the Vice-Leader of Power Electronic Control, Reliability and System Optimization (PESYS) and the coordinator of Integrated Energy Systems Laboratory (IES-Lab). His research interests include planning, control and operation management of microgrids, renewable/hybrid power systems and integrated energy systems with appropriate market mechanisms. He has (co)authored more than 270 technical articles, 7 books and 17 book chapters in the field. He is the Vice-Chair of IEEE Denmark and IEEE-PES Danish Chapter and serves as a Technical Committee Member of several IEEE PES/IES/PELS and CIGRE working groups. He was the recipient of 2020 DUO – India Fellowship Award, DANIDA Research Fellowship grant from the Ministry of Foreign Affairs of Denmark in 2018 and 2021, IEEE-CS Outstanding Leadership Award 2018 (Halifax, Nova Scotia, Canada), and the 2017 IEEE-CS Outstanding Service Award (Exeter-UK).
Report title：Operation and Control of Renewable Energy Systems
Abstract: The energy landscape is changing rapidly with far-reaching implications for the global energy industry and actors. While the transformation of the energy system is rapid in certain regions of the world-such as Europe, the speed of the global energy transition remains highly uncertain and there exist a number of socio-technical challenges yet to be solved. Harvesting renewable energies implies decentralization, where many consumers also become producers, who at times export electricity to the grid. To accommodate large numbers of renewable resources, energy distribution and transmission networks need to be adapted and expanded to avoid network congestion and failures. Flexibility options and services have to be also enabled not only at the supply side but also through responsive loads and suitable means of energy storage to maximize the security of supply and the quality of service in the most efficient way. Accelerating the energy transition also requires a rethinking of electricity markets in many aspects, a key one being the adaptation of their design and operation to support higher shares of variable renewables as well as distributed power generation. This talk covers the aforementioned promising areas in green energy transition and discusses the current and future opportunities and challenges exist in this context.