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

doi:10.23919/CJEE.2021.000035

Chinese Journal of Electrical Engineering ›› 2021, Vol. 7 ›› Issue (4): 25-36.doi: 10.23919/CJEE.2021.000035

• Special Issue Papers • Previous Articles Next Articles

扫码分享

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.

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

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.

References

[1] U.S.Energy Information Administration (EIA), Where solar is found and used. [2020-09-05].https:// www.eia.gov/energyexplained/solar/where-solar-is-found. php.
[2] L Zhang, F K Jiang, D W Xu, et al.Two-stage transformerless dual-buck PV grid-connected inverters with high efficiency.Chinese Journal of Electrical Engineering, 2018, 4(2): 36-42.
[3] S Xu, L Chang, R Shao.Evolution of single-phase power converter topologies underlining power decoupling.Chinese Journal of Electrical Engineering, 2016, 2(1): 24-39.
[4] R W Erickson, D Maksimovic.Fundamentals of power electronics. Boston: Springer, 2001.
[5] P K Bonthagorla, S Mikkili.Performance investigation of hybrid and conventional PV array configurations for grid-connected/standalone PV systems.CSEE J. Power Energy Syst., 2020: 1-16.
[6] C Schaef, J T Stauth.Multilevel power point tracking for partial power processing photovoltaic converters.IEEE J. Emerg. Sel. Top. Power Electron., 2014, 2(4): 859-869.
[7] F Li, C B Li, K Sun, et al.Capacity configuration of hybrid CSP/PV plant for economical application of solar energy.Chinese Journal of Electrical Engineering, 2020, 6(2): 19-29.
[8] N Femia, G Petrone, G Spagnuolo, et al.Optimization of perturb and observe maximum power point tracking method.IEEE Trans. Power Electron., 2005, 20(4): 963-973.
[9] W D Xiao, W G Dunford.A modified adaptive hill climbing MPPT method for photovoltaic power systems.in 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551), 2004, 3(3): 1957-1963.
[10] M Dehghani, M Taghipour, G B Gharehpetian, et al.Optimized fuzzy controller for MPPT of grid-connected PV systems in rapidly changing atmospheric conditions.J. Mod. Power Syst. Clean Energy), 2020: 1-8.
[11] A Safari, S Mekhilef.Simulation and hardware implementation of incremental conductance MPPT with direct control method using Cuk converter.IEEE Trans. Ind. Electron., 2011, 58(4): 1154-1161.
[12] E Roman, R Alonso, P Ibanez, et al.Intelligent PV module for grid-connected PV systems.IEEE Trans. Ind. Electron., 2006, 53(4): 1066-1073.
[13] A Pandey, N Dasgupta, A K Mukerjee.Design issues in implementing MPPT for improved tracking and dynamic performance.in IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, 2006: 4387-4391.
[14] F Liu, S Duan, F Liu, et al.A variable step size INC MPPT method for PV systems.IEEE Trans. Ind. Electron., 2008, 55(7): 2622-2628.
[15] N Femia, G Petrone, G Spagnuolo, et al.A technique for improving P&O MPPT performances of double-stage grid-connected photovoltaic systems.IEEE Trans. Ind. Electron., 2009, 56(11): 4473-4482.
[16] H Rezk, M Aly, M Al-Dhaifallah, et al.Design and hardware implementation of new adaptive fuzzy logic-based MPPT control method for photovoltaic applications.IEEE Access, 2019(7): 106427-106438.
[17] F Lin, K Lu, B Yang.Recurrent fuzzy cerebellar model articulation neural network based power control of a single-stage three-phase grid-connected photovoltaic system during grid faults.IEEE Transactions on Industrial Electronics, 2017, 64(2): 1258-1268.
[18] F Fateh, W N White, D Gruenbacher.A maximum power tracking technique for grid-connected DFIG-based wind turbines.IEEE J. Emerg. Sel. Top. Power Electron., 2015, 3(4): 957-966.
[19] R C N Pilawa-Podgurski, W Li, I Celanovic, et al. Integrated CMOS energy harvesting converter with digital maximum power point tracking for a portable thermophotovoltaic power generator.IEEE J. Emerg. Sel. Top. Power Electron., 2015, 3(4): 1021-1035.
[20] B Subudhi, R Pradhan.A comparative study on maximum power point tracking techniques for photovoltaic power systems.IEEE Trans. Sustain. Energy, 2013, 4(1): 89-98.
[21] T Esram, P L Chapman.Comparison of photovoltaic array maximum power point tracking techniques.IEEE Trans. Energy Convers., 2007, 22(2): 439-449.
[22] N C Swanepoel, C G Richards, A F Nnachi, et al.A comparative study of maximum power point tracking algorithms for PV arrays.in 2020 6th IEEE International Energy Conference (ENERGYCon), 2020: 819-823.
[23] B Mbarki, F Farhani, A Zaafouri.Comparative study of some maximum power point tracking algorithms.in 2019 International Conference on Signal, Control and Communication (SCC), 2019: 145-149.
[24] A Ibrahim, MB Shafik, Min Ding, et al. PV maximum power-point tracking using modified particle swarm optimization under partial shading conditions.Chinese Journal of Electrical Engineering, 2020, 6(4): 106-121.
[25] Z Yi, Y Xu, W Gu, et al.Distributed model predictive control based secondary frequency regulation for a microgrid with massive distributed resources.IEEE Transactions on Sustainable Energy, 2021, 12(2): 1078-1089.
[26] E I Batzelis, S A Papathanassiou, B C Pal.PV system control to provide active power reserves under partial shading conditions.IEEE Transactions on Power Electronics, 2018, 33(11): 9163-9175.
[27] P E Gill, W Murray, M H Wright.Practical optimization. Pittsburgh: Academic Press, 1981.
[28] R M Shao, L C Chang.A new maximum power point tracking method for photovoltaic arrays using golden section search algorithm.in 2008 Canadian Conference on Electrical and Computer Engineering, 2008: 000619-000622.
[29] Y Chen, Y Liu, S Hung, et al.Multi-input inverter for grid-connected hybrid PV/wind power system.IEEE Trans. Power Electron., 2007, 22(3): 1070-1077.

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

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

Comments

[1]	CHEN Qiaodi,ZHANG Xing,LI Ming,LIU Xiaoxi,GUO Zixuan. Short Circuit Ratio Measurement Method Based on Fundamental Impedance Detection [J]. Journal of Electrical Engineering, 2019, 14(2): 7-11.
[2]	Yi Lingzhi,Liu Zhongfan,Chen Caixue,Chen Yu,Wu Jingping. Research on Two-Stage PV Grid-Tied Inverter With By-Pass Relay [J]. Journal of Electrical Engineering, 2016, 11(12): 16-21.