Parallel Dispatch:A New Paradigm of Electrical Power System Dispatch

JunJason Zhang; Fei-Yue Wang; Qiang Wang; Dazhi Hao; Xiaojing Yang; David Wenzhong Gao; Xiangyang Zhao; Yingchen Zhang

doi:10.1109/JAS.2017.7510778

Volume 5 Issue 1

Jan. 2018

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2018 > 5(1): 311-319

JunJason Zhang, Fei-Yue Wang, Qiang Wang, Dazhi Hao, Xiaojing Yang, David Wenzhong Gao, Xiangyang Zhao and Yingchen Zhang, "Parallel Dispatch:A New Paradigm of Electrical Power System Dispatch," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 311-319, Jan. 2018. doi: 10.1109/JAS.2017.7510778

Citation:

JunJason Zhang, Fei-Yue Wang, Qiang Wang, Dazhi Hao, Xiaojing Yang, David Wenzhong Gao, Xiangyang Zhao and Yingchen Zhang, "Parallel Dispatch:A New Paradigm of Electrical Power System Dispatch," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 311-319, Jan. 2018. doi: 10.1109/JAS.2017.7510778

Citation:

JunJason Zhang, Fei-Yue Wang, Qiang Wang, Dazhi Hao, Xiaojing Yang, David Wenzhong Gao, Xiangyang Zhao and Yingchen Zhang, "Parallel Dispatch:A New Paradigm of Electrical Power System Dispatch," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 311-319, Jan. 2018. doi: 10.1109/JAS.2017.7510778

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Parallel Dispatch:A New Paradigm of Electrical Power System Dispatch

doi: 10.1109/JAS.2017.7510778

1.
Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver, Denver 80210, CO, USA
2.
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Science(SKL-MCCS, CASIA), Beijing 100190, China
3.
Research Center of Computational Experiments and Parallel Systems, The National University of Defense Technology, Changsha 410073, China
4.
State Grid Tianjin Electric Power Company, Tianjin 300010, China
5.
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
6.
National Renewable Energy Laboratory, Golden, CO 80401, USA

Funds: This work is supported by State Grid Corporation of China (SGCC) Science and Technology Project SGTJDK00DWJS1700060

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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. 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 expertise is in the areas of 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)

Fei-Yue Wang (S'87-M'89-SM'94-F'03) received the Ph.D. 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 Lab 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)

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

Dazhi Hao received the B.E. and M.E. degrees in electrical engineering from North China Electric Power University, in 2006 and 2009. He is currently working in State Grid Tianjin Power Dispatching and Control Center, China. His research interest is mainly in the area of power system dispatching and control.(e-mail: dazhi.hao@tj.sgcc.com.cn)

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

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)

Xiangyang Zhao received his 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)

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)
Corresponding author: Jun Jason Zhang, e-mail:jun.zhang@du.edu
Received Date: 2017-08-30
Accepted Date: 2017-10-30

Abstract

Abstract

Modern power systems are evolving into sociotechnical systems with massive complexity, whose real-time operation and dispatch go beyond human capability. Thus, the need for developing and applying new intelligent power system dispatch tools are of great practical significance. In this paper, we introduce the overall business model of power system dispatch, the top level design approach of an intelligent dispatch system, and the parallel intelligent technology with its dispatch applications. We expect that a new dispatch paradigm, namely the parallel dispatch, can be established by incorporating various intelligent technologies, especially the parallel intelligent technology, to enable secure operation of complex power grids, extend system operators' capabilities, suggest optimal dispatch strategies, and to provide decision-making recommendations according to power system operational goals.
- ACP,
- knowledge automation,
- power dispatch,
- parallel dynamic programming,
- parallel intelligence,
- parallel learning,
- situational awareness

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References

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Parallel Dispatch:A New Paradigm of Electrical Power System Dispatch

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