Blockchain Based Intelligent Distributed Electrical Energy Systems:Needs, Concepts, Approaches and Vision

• ZHANG Jun^{1 , ,}  , 
• GAO Wen-Zhong^{1 ,}  , 
• ZHANG Ying-Chen^{2 ,}  , 
• ZHENG Xin-Hu^{3 ,}  , 
• YANG Liu-Qing^{4 ,}  , 
• HAO Jun^{1 ,}  , 
• DAI Xiao-Xiao^{1 ,} 

• 1.

  School of Engineering and Computer Science, University of Denver, Denver 80210, USA

• 2.

  National Renewable Energy Laboratory, Golden 80401, USA

• 3.

  Department of Computer Science and Engineering, University of Minnesota, Minneapolis 55414, USA

• 4.

  Department of Electrical and Computer Engineering, Colorado State University, Fort Collins 80523, USA

Author Bio:

   Associate professor in the Department of Electrical and Computer Engineering, University of Denver, Colorado, USA. He received his master and Ph.D. degrees in Electrical and Computer Engineering, specializing in electric power engineering, from Georgia Institute of Technology, Atlanta, USA in 1999 and 2002, respectively. His research interest covers renewable energy and distributed generation, microgrid, smart grid, power system protection, power electronics applications in power systems, power system modeling and simulation, and hybrid electric propulsion systems. He is an editor of and an associate editor of . He is the General Chair for the 48th North American Power Symposium (NAPS 2016) and the IEEE Symposium on Power Electronics and Machines in Wind Applications (PEMWA 2012).E-mail:

   Senior engineer at the National Renewable Energy Laboratory and a visiting research assistant professor at the University of Denver. He received his bachelor degree from Tianjin University, China in 2003 and his Ph. D. degree from Virginia Polytechnic Institute and State University, USA in 2010. His research interest covers advanced energy management system for future grids, the impact of large-scale integration of renewable energies on power system operations, stability monitoring and analysis of a system with high renewable penetration, and synchrophasor measurements applications on renewable integrations. He is the principal investigator on several Department of Energy and National Renewable Energy Laboratory sponsored projects focusing on wind and solar integration. He has over 10 years of experience in power industry in the areas of power system operation and planning, renewable integration, sensing and monitoring. He authored/coauthored over 50 peer reviewed publications and holds one U. S. patent.E-mail:

    Ph. D. candidate in computer science and engineering with Colorado State University, Fort Collins, CO, USA. He received his bechelor degree in control science and engineering from the Zhejiang University of China, Hangzhou, China, in 2011. His research interest covers include social computing, machine learning, and data analytics.E-mail:

    She received her Ph. D. degree from the University of Minnesota, Minneapolis, MN, USA, in 2004. Her research interest covers communications and signal processing. Dr. Yang has been actively serving in the technical community, including the organization of many IEEE international conferences, and on the editorial boards of a number of journals, including the , ,, and the . She received the Office of Naval Research Young Investigator Program Award in 2007, the National Science Foundation Career Award in 2009, the IEEE GLOBECOM Outstanding Service Award in 2010, the George T. Abell Outstanding Mid-Career Faculty Award and the Art Corey Outstanding International Contributions Award at CSU in 2012 and 2016 respectively, and Best Paper Awards at IEEE ICUWB' 06, ICCC' 13, ITSC' 14, GLOBECOM' 14, ICC' 16, and WCSP' 16.E-mail:

    Ph. D. candidate at University of Denver, majoring in electric power engineering. He received his master degree in electrical and computer engineering, specializing in electric power engineering from University of Denver, Colorado, USA, in 2015. His main research interest is electric power engineering.E-mail:

    Ph. D candidate at the Ritchie School of Engineering and Computer Science, University of Denver, Denver, USA. She received her master degree in Electrical Engineering from the Ritchie School of Engineering and Computer Science, University of Denver, Denver, USA in 2013, her bachelor degree in Electronics and Microelectronics from Jilin University, Changchun, China, and from National Research Tomsk Polytechnic University, Tomsk, Russia in 2011. Her research interest covers sensing, machine learning, signal processing, and network analysis.E-mail:

Corresponding author: ZHANG Jun     Associate professor in the Department of Electrical and Computer Engineering, University of Denver, USA. He received his bachelor and master degrees in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China in 2003 and 2005, respectively, and his Ph. D. in Electrical Engineering from Arizona State University, USA in 2008. His research interesting covers sensing theory, signal processing and implementation, time-varying system modeling, and their applications in intelligent power and energy systems. He authored/coauthored over 70 peer reviewed publications and he is the Technical Co-Chair for the 48th North American Power Symposium (NAPS 2016). Corresponding author of this paper.E-mail:jun.zhang@du.edu



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