Single-phase Grid-connected PV System with Golden Section Search-based MPPT Algorithm*

doi:10.23919/CJEE.2021.000035

中国电气工程学报（英文） ›› 2021, Vol. 7 ›› Issue (4): 25-36.doi: 10.23919/CJEE.2021.000035

收稿日期:2021-07-16 修回日期:2021-10-15 接受日期:2021-12-05 出版日期:2021-12-25 发布日期:2022-01-07

Single-phase Grid-connected PV System with Golden Section Search-based MPPT Algorithm^*

Shuang Xu^1,*, Riming Shao², Bo Cao^3,*, Liuchen Chang³

1. School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China;
2. R&D Department, Alpha Technologies Inc., Bellingham 98226, USA;
3. Emera and NB Power Research Centre for Smart Grid Technologies, University of New Brunswick, Fredericton E3B5A3, Canada

Received:2021-07-16 Revised:2021-10-15 Accepted:2021-12-05 Online:2021-12-25 Published:2022-01-07
Contact: *E-mail: sxu1@unb.ca and E-mail: b.cao@unb.ca
About author:Shuang Xu (S'15-M'18) received the B.Sc.E.E. in 2012 from Hefei University of Technology, Hefei, China, and the Ph. D. in Electrical Engineering in 2018 at the University of New Brunswick (UNB), Fredericton, Canada. He was a Post-Doctoral Fellow with the Emera and NB Power Research Centre for Smart Grid Technologies at UNB and a Post-Doctoral Associate at Western University, London, Canada, from 2018 to 2021. He is currently a Guest Professor in the School of Electrical and Control Engineering at North China University of Technology, Beijing, China. His research interests include renewable energy systems, energy storage technologies, power electronics, and power system support functions for distributed energy resources. Dr. Xu was a recipient of the IEEE Applied Power Electronics Conference Outstanding Presentation Award in 2017. He was the Tutorial Speaker in IEEE PEDG 2019, 2021, IEEE CPERE 2019, IEEE HVDC 2020, and Session Chair of the IEEE Symposium on Power Electronics for Distributed Generation Systems (PEDG 2019). He also serves as the Treasurer in 2018 and the Chair in 2019 of IEEE UNB Power Electronics Society Student Branch Chapter.
Riming Shao (M'08) received the B.Sc.E.E. in 1994 and M.Sc. in 1997 from Tongji University, Shanghai, China; and the Ph.D. degree in 2010 from the University of New Brunswick, Fredericton, Canada. He currently works as a Project Engineer with Alpha Technologies at Bellingham, Washington State, USA. His research interests include smart grids, power converters, renewable energy systems, and distributed power generation systems. Dr. Shao is a registered Professional Engineer of Engineers and Geoscientists New Brunswick, Canada.
Bo Cao (S'08-M'15) received the B.Sc.E. degree from East China University of Science and Technology, Shanghai, China, in 2005; and the Ph.D. degree from the University of New Brunswick, Fredericton, NB, Canada, in 2015. He is currently a Research Associate with the Emera and NB Power Research Centre for Smart Grid Technologies at the University of New Brunswick. His principle research interests include power converter design, grid-integration technology, distributed generation system and smart grid techniques.
Liuchen Chang (S'80-M'92-SM'99) received B.S.E.E. from Northern Jiaotong University in 1982, M.Sc. from China Academy of Railway Sciences in 1984, and Ph.D. from Queen's University in 1991. He joined the University of New Brunswick in 1992 and is a Professor in Electrical and Computer Engineering. He was the NSERC Chair in Environmental Design Engineering during 2001-2007, and was the Principal Investigator of Canadian Wind Energy Strategic Network (WESNet) during 2008-2014. He is currently the President of the IEEE Power Electronics Society. Dr. Chang was a recipient of CanWEA R.J. Templin Award in 2010 for his contribution in the development of wind energy technologies, and the Innovation Award for Excellence in Applied Research in New Brunswick in 2016. He is a Fellow of Canadian Academy of Engineering (FCAE). He has published more than 340 refereed papers in journals and conference proceedings. Dr. Chang has focused on research, development, demonstration and deployment of renewable energy based distributed generation systems and direct load control systems.
Supported by:
*Natural Sciences and Engineering Research Council of Canada, and in part by the Atlantic Innovation Fund.

摘要/Abstract

Abstract: Maximum power point tracking (MPPT) is a technique employed for with variable-power sources, such as solar, wind, and ocean, to maximize energy extraction under all conditions. The commonly used perturb and observe (P&O) and incremental conductance (INC) methods have advantages such as ease of implementation, but they also have the challenge of selecting the most optimized perturbation step or increment size while considering the trade-off between convergence time and oscillation. To address these issues, an MPPT solution for grid-connected photovoltaic (PV) systems is proposed that combines the golden section search (GSS), P&O, and INC methods to simultaneously achieve faster convergence and smaller oscillation, converging to the MPP by repeatedly narrowing the width of the interval at the rate of the golden ratio. The proposed MPPT technique was applied to a PV system consisting of a PV array, boost chopper, and inverter. Simulation and experimental results verify the feasibility and effectiveness of the proposed MPPT technique, by which the system is able to locate the MPP in 36 ms and regain a drifting MPP in approximately 30 ms under transient performance. The overall MPPT efficiency is 98.99%.

Key words: Grid-connected system, maximum power point tracking (MPPT), photovoltaic (PV) system, single-phase inverter

. [J]. 中国电气工程学报（英文）, 2021, 7(4): 25-36.

Shuang Xu, Riming Shao, Bo Cao, Liuchen Chang. Single-phase Grid-connected PV System with Golden Section Search-based MPPT Algorithm^*[J]. Chinese Journal of Electrical Engineering, 2021, 7(4): 25-36.

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Single-phase Grid-connected PV System with Golden Section Search-based MPPT Algorithm^*

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