Social Energy: Mining Energy From the Society

Jun Jason  Zhang; David Wenzhong Gao; Yingchen Zhang; Xiao Wang; Xiangyang Zhao; Dongliang Duan; Xiaoxiao Dai; Jun Hao; Fei-Yue Wang

doi:10.1109/JAS.2017.7510547

Volume 4 Issue 3

Jul. 2017

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2017 > 4(3): 466-482

Jun Jason Zhang, David Wenzhong Gao, Yingchen Zhang, Xiao Wang, Xiangyang Zhao, Dongliang Duan, Xiaoxiao Dai, Jun Hao and Fei-Yue Wang, "Social Energy: Mining Energy From the Society," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 466-482, July 2017. doi: 10.1109/JAS.2017.7510547

Citation:

Jun Jason Zhang, David Wenzhong Gao, Yingchen Zhang, Xiao Wang, Xiangyang Zhao, Dongliang Duan, Xiaoxiao Dai, Jun Hao and Fei-Yue Wang, "Social Energy: Mining Energy From the Society," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 466-482, July 2017. doi: 10.1109/JAS.2017.7510547

Citation:

Jun Jason Zhang, David Wenzhong Gao, Yingchen Zhang, Xiao Wang, Xiangyang Zhao, Dongliang Duan, Xiaoxiao Dai, Jun Hao and Fei-Yue Wang, "Social Energy: Mining Energy From the Society," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 466-482, July 2017. doi: 10.1109/JAS.2017.7510547

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Social Energy: Mining Energy From the Society

doi: 10.1109/JAS.2017.7510547

1.
Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver, Denver CO 80210, USA
2.
National Renewable Energy Laboratory, Golden, CO 80401, USA
3.
Qingdao Academy of Intelligent Industries (QAⅡ), Qingdao, Shandong, China, and SKL-MCCS, CASIA, Beijing 10019, China
4.
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
5.
Department of Electrical and Computer Engineering, College of Engineering and Applied Science, University of Wyoming, Laramie WY 82071, USA
6.
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (SKL-MCCS, CASIA), Beijing 100190, China
7.
Research Center of Computational Experiments and Parallel Systems, National University of Defense Technology, Changsha 410073, China

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Author Bio:
Jun Jason Zhang (S'06-M'09-SM'14) received the B.E. and M.E. degrees in electrical engineering from Huazhong University of Science and Technology, Wuhan, China, in 2003 and 2005, respectively, and the Ph.D. degree in electrical engineering from Arizona State University, USA, in 2008. He is currently an assistant professor of electrical and computer engineering at the University of Denver. He authored/coauthored over 70 peer reviewed publications and he is the Technical Co-Chair for the 48th North American Power Symposium (NAPS 2016). His research interests include sensing theory, signal processing and implementation, time-varying system modeling, and their applications in intelligent power and energy systems.(e-mail:jun.zhang@du.edu)

David Wenzhong Gao (M'02-SM'03) received the M.S. 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. He is now with the Department of Electrical and Computer Engineering, University of Denver, Colorado, USA. His current teaching and research interests include 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 IEEE Transactions on Sustainable Energy and an associate editor of IEEE Journal of Emerging and Selected Topics in Power Electronics. 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: wenzhong.gao@du.edu)

Yingchen Zhang (M'07-SM'16) received the B.S. degree from Tianjin University, China in 2003 and the Ph.D. degree from Virginia Polytechnic Institute and State University in 2010. He is a senior engineer at the National Renewable Energy Laboratory and a visiting research assistant professor at the University of Denver. 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. His key areas of expertise lie in 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.(e-mail:yingchen.zhang@nrel.gov)

Xiao Wang (M'16) received the bachelor degree in network engineering from Dalian University of Technology, in 2011, and the Ph.D. degree in social computing from University of Chinese Academy of Sciences, in 2016. She is currently an assistant researcher in the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences with the State Key Laboratory of Management and Control for Complex Systems. Her research interests include social transportation, cyber movement organizations, artificial intelligence, and social network analysis. She published more than a dozen of SCI/EI articles, translated three technical books (English to Chinese), and served as peer reviewers for the IEEE Transactions of Intelligent Transportation Systems, IEEE/CAA Journal of Automation Sinica, and ACM Transactions of Intelligent Systems and Technology.(e-mail:x.wang@ia.ac.cn)

Xiangyang Zhao received the Ph.D. degree in electrical engineering, from Xi'an Jiaotong University, Xi'an, China, in 2002. He is now with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His current teaching and research interests include renewable energy and distributed generation, microgrid, smart grid, energy internet, and intelligent control.(e-mail:zhaoxiangyang@buaa.edu.cn)

Dongliang Duan received the B.S. degree from Huazhong University of Science and Technology, Wuhan, China in 2006, the M.S. degree from the University of Florida, Gainesville, FL in 2009, and the Ph.D. degree from the Colorado State University, Fort Collins, CO in 2012, all in electrical engineering. Since graduation from CSU, he has been an assistant professor in the Department of Electrical and Computer Engineering at the University of Wyoming. His research interests include signal processing techniques for wireless communications and power systems, estimation and detection theory, and energy resource management in wireless communication systems. Currently, he is particularly interested in statistical signal processing and wireless communications and networking for power grid monitoring and control.(e-mail:dduan@uwyo.edu)

Xiaoxiao Dai is currently a Ph.D. candidate at the Ritchie School of Engineering and Computer Science, University of Denver, Denver, Colorado, USA. She received the M.S. degree in electrical engineering from the Ritchie School of Engineering and Computer Science, University of Denver, Denver, Colorado, USA, in 2013, the B.E. degree in electronics and microelectronics from Jilin University, Changchun, China, and from National Research Tomsk Polytechnic University, Tomsk, Russia, in 2011. Her research interests include sensing, machine learning, signal processing, and network analysis.(e-mail:xiaoxiao.dai@du.edu)

Jun Hao is currently a Ph.D. candidate at University of Denver, majoring in electric power engineering. He received his M.S. degree in electrical and computer engineering, specializing in electric power engineering from University of Denver, Colorado, USA, in 2015. He dedicates himself to the research of electric power engineering.(e-mail:jun.hao@du.edu)

Fei-Yue Wang received the Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He joined the University of Arizona in 1990 and became a professor and Director of the Robotics and Automation Laboratory (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Oversea Chinese Talents Program from the State Planning Council and "100 Talent Program" from CAS, and in 2002, was appointed as the Director of the Key Laboratory of Complex Systems and Intelligence Science, CAS. In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory of Management and Control for Complex Systems. Dr. Wang's current research focuses on methods and applications for parallel systems, social computing, and knowledge automation. He was the Founding Editorin-Chief of the International Journal of Intelligent Control and Systems from 1995 to 2000, and the EiC of IEEE Intelligent Systems from 2009 to 2012. Currently, he is the EiC of IEEE Transactions on ITS. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, ASME conferences. He was the President of IEEE ITS Society from 2005 to 2007, Chinese Association for Science and Technology (CAST, USA) in 2005, and the American Zhu Kezhen Education Foundation from 2007-2008. Since 2008, he is the Vice President and Secretary General of Chinese Association of Automation. Dr. Wang is elected Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the 2nd Class National Prize in Natural Sciences of China and was awarded the Outstanding Scientist by ACM for his work in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009 and 2011, respectively. In 2014, Dr. Wang received the IEEE SMC Society Norbert Wiener Award.(e-mail:feiyue.wang@ia.ac.cn)
Corresponding author: Jun Jason Zhang, e-mail:jun.zhang@du.edu
Received Date: 2016-06-18
Accepted Date: 2016-11-17

Abstract

Abstract

The inherent nature of energy, i.e., physicality, sociality and informatization, implies the inevitable and intensive interaction between energy systems and social systems. From this perspective, we define "social energy" as a complex sociotechnical system of energy systems, social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system interactions. The recent advancement in intelligent technology, including artificial intelligence and machine learning technologies, sensing and communication in Internet of Things technologies, and massive high performance computing and extreme-scale data analytics technologies, enables the possibility of substantial advancement in socio-technical system optimization, scheduling, control and management. In this paper, we provide a discussion on the nature of energy, and then propose the concept and intention of social energy systems for electrical power. A general methodology of establishing and investigating social energy is proposed, which is based on the ACP approach, i.e., "artificial systems" (A), "computational experiments" (C) and "parallel execution" (P), and parallel system methodology. A case study on the University of Denver (DU) campus grid is provided and studied to demonstrate the social energy concept. In the concluding remarks, we discuss the technical pathway, in both social and nature sciences, to social energy, and our vision on its future.
- ACP,
- distribution locational marginal pricing,
- intelligent operation in power systems,
- parallel control,
- parallel intelligence,
- parallel management,
- social energy,
- socio-technical energy systems

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References(62)

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Social Energy: Mining Energy From the Society

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