A Novel Design Framework for Smart Operating Robot in Power System

Qiang Wang; Xiaojing Yang; Zhigang Huang; Shiqian Ma; Qiao Li; David Wenzhong Gao; Fei-Yue Wang

doi:10.1109/JAS.2017.7510838

Volume 5 Issue 2

Mar. 2018

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2018 > 5(2): 531-538

Qiang Wang, Xiaojing Yang, Zhigang Huang, Shiqian Ma, Qiao Li, David Wenzhong Gao and Fei-Yue Wang, "A Novel Design Framework for Smart Operating Robot in Power System," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 531-538, Mar. 2018. doi: 10.1109/JAS.2017.7510838

Citation:

Qiang Wang, Xiaojing Yang, Zhigang Huang, Shiqian Ma, Qiao Li, David Wenzhong Gao and Fei-Yue Wang, "A Novel Design Framework for Smart Operating Robot in Power System," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 531-538, Mar. 2018. doi: 10.1109/JAS.2017.7510838

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A Novel Design Framework for Smart Operating Robot in Power System

doi: 10.1109/JAS.2017.7510838

1.
State Grid Tianjin Electric Power Company, Tianjin 300010, China
2.
State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
3.
University of Denver, Denver, Colorado 80210, USA
4.
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Funds:

State Grid Corporation of China (SGCC) Science and Technolgy Project SGTJDK00DWJS1700060

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Author Bio:
Qiang Wang received the B.E. degree in electrical engineering from Tianjin University, China, in 1984. He is currently the Director of Power Dispatching and Control Center of State Grid Tianjin Electric Power Company, China. He is dedicated to promoting smart grid power dispatching and control in China. His research interests include power system dispatching, operation and control. (e-mail:qiang.wang2@tj.sgcc.com.cn)

Xiaojing Yang received the B.E. and M.E. degrees in electrical engineering from Southeast University, in 2004 and 2007. She is currently working in Power Dispatching and Control Center of State Grid Tianjin Electric Power Company, China. Her research interests include power system dispatching automation and artificial intelligence. (e-mail:15922100319@163.com)

Zhigang Huang received his B.E. and M.E. degrees in electrical engineering from Tianjin University, in 2000 and 2003. He is currently working in Power Dispatching and Control Center of State Grid Tianjin Electric Power Company, China. His main research interest is power system dispatching and control. (e-mail:zhiqang.huang@tj.sgcc.com.cn)

Shiqian Ma received his Ph.D. degree in electrical engineering from Tianjin University, China in 2016. He is currently working in State Grid Tianjin Electric Power Research Institute, China. His research interests include smart distribution grid and artificial intelligence. (e-mail: msq112358@126.com)

Qiao Li received the B.Eng. degree in automation engineering from Guizhou University, China, in 2011 and the M.Eng. degree in control theory and control engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2014. He is currently pursuing the Ph.D. degree in the Department of Electrical and Computer Engineering, University of Denver, Colorado, USA. His current research interests include distributed power system, networked control, microgrid, energy storage system and renewable energy. (e-mail: lq0607@qmail.com)

David Wenzhong Gao (S'00-M'02-SM'03) received his 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 a Full Professor at 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. 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)

Fei-Yue Wang (S'87-SM'89-SM'94-F'03) 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 Lab (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 Editor-in-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: David Wenzhong Gao, e-mail: wenzhong.gao@du.edu
Received Date: 2017-09-25
Accepted Date: 2018-01-18

Abstract

Abstract

This paper proposes the concept and framework of smart operating system based on the artificial intelligence (AI) techniques. The demands and the potential applications of AI technologies in power system control centers is discussed in the beginning of the paper. The discussion is based on the results of a field study in the Tianjin Power System Control Center in China. According to the study, one problem in power systems is that the power system analysis system in the control center is not fast and powerful enough to help the operators in time to deal with the incidents in the power system. Another issue in current power system control center is that the operation tickets are compiled manually by the operators, so that it is less efficient and human errors cannot be avoided. Based on these problems, a framework of the smart operating robot is proposed in this paper, which includes an intelligent power system analysis system and a smart operation ticket compiling system to solve the two problems in power system control centers. The proposed framework is mainly based on the AI techniques, especially the neural network with deep learning, since it is faster and more capable of dealing with the highly nonlinear and complex power system.
- Artificial intelligence,
- deep learning,
- human-in-the-loop,
- power system control center,
- power system operating robot,
- machine learning

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References

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A Novel Design Framework for Smart Operating Robot in Power System

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