Economical Optimization of Grid Power Factor Using Predictive Data

Chaojiong Huang; Jason Gu; Haiying Liu; Yuansheng Lu; Jun Luo

doi:10.1109/JAS.2017.7510691

Volume 6 Issue 1

Jan. 2019

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2019 > 6(1): 258-267

Chaojiong Huang, Jason Gu, Haiying Liu, Yuansheng Lu and Jun Luo, "Economical Optimization of Grid Power Factor Using Predictive Data," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 258-267, Jan. 2019. doi: 10.1109/JAS.2017.7510691

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Chaojiong Huang, Jason Gu, Haiying Liu, Yuansheng Lu and Jun Luo, "Economical Optimization of Grid Power Factor Using Predictive Data," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 258-267, Jan. 2019. doi: 10.1109/JAS.2017.7510691

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Economical Optimization of Grid Power Factor Using Predictive Data

doi: 10.1109/JAS.2017.7510691

Chaojiong Huang^{1
,
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Jason Gu^2
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Haiying Liu^2
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Yuansheng Lu^2
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Jun Luo^1
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1.
School of Electrical Engineering and Automation, Shanghai University, Shanghai 200072, China
2.
Department of Electrical and Computer Engineering, Dalhousie University, Halifax NS B3J2X4, Canada

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Author Bio:
Chaojiong Huang (M'15) received the B.Eng. and M.Eng. degrees in mechatronics engineering from Shanghai University, Shanghai, China, in 2010 and 2013, respectively. He started to work towards the Ph.D. degree at Shanghai University from 2013. Meanwhile, he is currently a visiting Ph.D. student in the Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada, from October 2014. His research interests mainly include robotics and automation, especially bionic robotic eye research, and control of mobile robots and fuzzy logic control. e-mail: hcj@shu.edu.cn

Jason Gu (S'08-M'11-SM'15) received the B.S. degree from the Department of Electrical Engineering and Information Science at the University of Science and Technology of China in 1992, the M.S. degree from Biomedical Engineering at Shanghai Jiaotong University in 1995, and Ph.D. degree from University of Alberta in Canada in 2001. He is currently a full Professor in Electrical and Computer Engineering at Dalhousie University in Canada. He is also a cross-appointed Professor at the School of Biomedical Engineering for his multidisciplinary research work.
His research interests include robotics, biomedical engineering, rehabilitation engineering, neural networks, and control. He is a Fellow of the Engineering Institute of Canada (EIC) and the Canadian Academy of Engineering (CAE). He has over nineteen years research and teaching experience and has published over 240 conference papers and articles. He has been the associate editor for the following journals:Journal of Control and Intelligent Systems, Transactions on CSME, Canada IEEE Transaction on Mechatronics, International Journal of Robotics and Automation, Unmanned Systems, Journal of Engineering and Emerging Technologies, and IEEE Access. e-mail: jason.gu@dal.ca

Haiying Liu (S'09-M'13) received the M.S. and Ph.D. degrees from the School of Control Science and Engineering at Shandong University, China, in 2007 and 2012, respectively. She was a visiting student from August 2009 to August 2011 in the Department of Electrical and Computer Engineering, University of Victoria, Canada. She is currently conducting research as a postdoctoral fellow in the Department of Electrical and Computer Engineering, Dalhousie University, Canada. Her research interests include pattern recognition, digital image processing and computer vision, adaptive fuzzy controller design and stability analysis with application in mobile robots. e-mail: supervisor_liu@yahoo.com

Yuansheng Lu received the B.S. degree of biomedical engineering at Shenzhen University, Guangdong, China, in 2013. He is currently pursuing the M.S. degree in the Department of Electrical and Computer Engineering, Dalhousie University, Halifax, NS, Canada. His research interests include control systems and mobile robotics. e-mail: yuansheng.lu@dal.ca

Jun Luo received the B.S. degree in mechanical engineering from Henan Polytechnic University, Jiaozuo, China, in 1994, the M.S. degree in mechanical engineering from Henan Polytechnic University, Jiaozuo, China, in 1997, and the Ph.D. degree from the Research Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China, in 2000. He is a full Professor with the School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China. He is the Head of Precision Mechanical Engineering Department, Shanghai University, and the vice director of Shanghai Municipal Key Laboratory of Robotics. His research interests include robot sensing, sensory feedback, mechatronics, man-machine interfaces, and special robotics. e-mail: luojun@shu.edu.cn
Corresponding author: Chaojiong Huang, e-mail: hcj@shu.edu.cn
Received Date: 2015-11-06
Revised Date: 2016-02-22
Accepted Date: 2016-05-25

Abstract

Abstract

We present an electrical grid optimization method for economical benefit. After simplifying an IEEE feeder diagram, we build a compact smart grid system including a photovoltaic-inverter system, a shunt capacitor, an on-load tapchanger (OLTC) and transmission lines. The system power factor (PF) regulation and reactive power dispatching are indispensable to improve power quality. Our control method uses predictive weather and load data to decide engaging or tripping the shunt capacitor, or reactive power injection by the photovoltaic-inverter system, ultimately to keep the system PF in a good range. From the perspective of economics, the economical model is considered as a decision maker in our predictive data control method. Capacitor-only control strategy is a common photovoltaic (PV) regulation method, which is treated as a baseline case. Simulations with GridLAB-D on profiled loads and residential loads have been carried out. The comparison results with baseline control strategy and our predictive data control method show the appreciable economical benefit of our method.
- Grid optimization,
- GridLAB-D,
- inverter,
- power factor,
- predictive data control,
- shunt capacitor

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References(22)

References

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Economical Optimization of Grid Power Factor Using Predictive Data

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