Advances in Electric Power and Energy. Группа авторов
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Hyde M. Merrill received the BA degree in Mathematics and MS degree in Electrical Engineering from the University of Utah and the PhD degree in Electrical Engineering from the Massachusetts Institute of Technology. He is a registered professional engineer in New York and a Fellow of the IEEE.
He has worked for the American Electric Power Service Corp, the MIT Energy Lab, Power Technologies, Inc., the Rensselaer Polytechnic Institute, and Merrill Energy LLC. In 2015, he joined the University of Utah as Adjunct Professor. He teaches power systems and leads research on blackouts.
Lamine Mili is a Professor of Electrical and Computer Engineering at Virginia Tech. He is an IEEE Fellow and a member of Institute of Mathematical Statistics and the American Statistical Association. His research interests include power system analysis and control, power system dynamics and stability, and robust statistics as applied to engineering problems.
Michael Negnevitsky received his BE (Hons.) and PhD degrees from the Byelorussian University of Technology, Belarus, in 1978 and 1983, respectively. Currently, he is a Professor in Power Engineering and Computational Intelligence and Director of the Centre for Renewable Energy and Power Systems, University of Tasmania, Australia. He is a Chartered Professional Engineer, Fellow of Engineers Australia, and Member of the National ITEE College Board. His research interests include power system security, renewable energy, and state estimation.
Marco Pau received the MS degree (cum laude) in Electrical Engineering and the PhD degree in Electronic Engineering and Computer Science from the University of Cagliari, Italy, in 2011 and 2015, respectively. Currently, he is research associate at the Institute for Automation of Complex Power Systems at the E.ON Energy Research Center, RWTH Aachen University, Germany, where he leads the team for Distribution Grid Monitoring and Automation. His research activities mainly concern the design of solutions for the monitoring and automation of distribution systems as well as techniques for the smart management of active distribution grids.
Paolo Attilio Pegoraro received the MS (summa cum laude) degree in Telecommunications engineering and the PhD degree in Electronic and Telecommunication Engineering from the University of Padova, Padua, Italy, in 2001 and 2005, respectively. From 2015 to 2018 he was an Assistant Professor with the Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy, where he is currently Associate Professor. He has authored or coauthored over 110 scientific papers. His current research interests include the development of new measurement techniques for modern power networks, with attention to synchronized measurements and state estimation.
Dr. Pegoraro is a Senior Member of IEEE Instrumentation and Measurement Society, member of TC 39 (Measurements in Power Systems) and of IEC TC 38/WG 47. He is an Associate Editor of the IEEE Transactions on Instrumentation and Measurement.
Ferdinanda Ponci graduated with PhD in Electrical Engineering from the Politecnico di Milano, in 2002. She joined the Department of Electrical Engineering, University of South Carolina, as an Assistant Professor in 2003 and became Associate Professor in 2008. In 2009, she joined the Institute for Automation of Complex Power Systems, RWTH Aachen University, where she is currently Professor for “Monitoring and distributed control for power systems.”
She is Senior Member of IEEE and of the AdCom of the IEEE Instrumentation and Measurement Society.
Md. Ashfaqur Rahman is a PhD candidate in the Department of Electrical and Computer Engineering in Clemson University, Clemson, SC, USA. He received his BS from Bangladesh University of Engineering and Technology in 2009 and MS from Texas Tech University in 2012. He has a total of 7 technical papers with 98 citations with h‐index and i‐index be 3. His current research interests include the development of a distributed dynamic state estimator. He also worked on false data injection attack, parallel and distributed computation, state prediction, contingency analysis, optimal power flow, etc. He has served as a reviewer of IEEE journals and conference papers.
Sara Sulis received the MS degree in Electrical Engineering and the PhD degree in Industrial Engineering from the University of Cagliari, Cagliari, Italy, in 2002 and 2006, respectively. She is currently Associate Professor of Instrumentation and Measurements with the University of Cagliari. Dr. Sulis is a Senior Member of the IEEE, member of the Instrumentation and Measurement Society, of the IEEE TC 39 “Measurements in Power Systems,” and of the CENELEC TC 38 “Instrument Transformers.” She has authored or coauthored more than 100 scientific papers. Her current research interests include distributed measurement systems designed to perform state estimation and harmonic sources estimation of distribution networks.
Hongbin Sun is a Professor in the Department of Electrical Engineering, Tsinghua University, Beijing, China, the Changjiang Chair Professor of Education Ministry of China, and an IEEE Fellow. He received double BS degrees in 1992 and PhD in 1997, respectively, both from Electrical Engineering, Tsinghua University. His research interests include automatic voltage control (AVC), smart grid, renewable energy and electrical vehicle integration, and power system operation and control.
Lang Tong is the Irwin and Joan Jacobs Professor of Engineering at Cornell University and the Cornell site Director of Power Systems Engineering Research Center (PSERC). He received a BE degree from Tsinghua University and a PhD degree in Electrical Engineering from the University of Notre Dame. He held visiting positions at Stanford University, the University of California at Berkeley, the Delft University of Technology, and the Chalmers University of Technology in Sweden.
Lang Tong’s current research focuses on data analytics, optimization, and economic problems in energy and power systems. A Fellow of IEEE and the 2018 Fulbright Distinguished Chair in Alternative Energy, he received paper awards from the IEEE Circuit and Systems, Signal Processing, Communications, and Power and Energy Systems societies.
Ganesh Kumar Venayagamoorthy is the Duke Energy Distinguished Professor of Power Engineering and Professor of Electrical and Computer Engineering at Clemson University. Dr. Venayagamoorthy is the Founder (2004) and Director of the Real-Time Power and Intelligent Systems Laboratory (http://rtpis.org). He holds an Honorary Professor position in the School of Engineering at the University of Kwazulu-Natal, Durban, South Africa. Dr. Venayagamoorthy received his PhD and MSc (Eng.) degrees in Electrical Engineering from the University of Natal, Durban, South Africa, in February 2002 and April 1999, respectively. He received his B.Eng. (Honors) degree with a First Class from Abubakar Tafawa Balewa University, Bauchi, Nigeria, in March 1994. He holds a MBA degree in Entrepreneurship and Innovation from Clemson University, SC (2016). Dr. Venayagamoorthy’s interests are in the research, development, and innovation of smart grid technologies and operations, including computational intelligence, intelligent sensing and monitoring, intelligent systems, integration of renewable energy sources, power system optimization, stability and control, and signal processing. He is an inventor of technologies for scalable computational intelligence for complex systems and dynamic stochastic optimal power flow. He led the brain2grid project funded by US NSF. He has published over 500 refereed technical articles. His publications are cited >18,000 times with a h-index of 64. Dr. Venayagamoorthy has been involved in over 75 sponsored projects in excess of US $12 million. Dr. Venayagamoorthy has given over 500 invited keynotes, plenaries, presentations, tutorials, and lectures in over 40 countries to date. He has several international educational and research collaborations. Dr. Venayagamoorthy