Abstract
Photovoltaic (PV) arrays are power generation equipment in PV systems. Maximum power point Tracking (MPPT) scheme in the PV array affects the power generation efficiency of the PV system. In this paper, based on the deficiencies of existing MPPT methods, an algorithm by combining the increment conductance method with variable step size and Newton interpolation method is proposed, which can automatically adjust the step size according to changes in the external environment to avoid power loss and improve the photovoltaic power generation efficiency. The results show the improved MPPT algorithm can efficiently control the vibration amplitude of the power waveform output compared with the traditional conductance increment method. The problem studied in this paper is somewhat interesting. I have the following comments. Meanwhile, it presents a faster tracking speed and a good adaptability for the environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
B. Sun, J. Mei, J. Zheng, An improved algorithm for maximum power point tracking under local shadow conditions. Electr. Power Autom. Equip. 34(01), 115–119+127 (2014)
L. Zhou, J. Wu, Q. Liu, et al., Survey of PV array maximum power point tracking control method. High Volt. Eng. (06), 1145–1154 (2008)
G. Wu, X. Li, Application of Newton interpolation method in maximum power tracking of photovoltaic power generation. Power Technol. 39(7), 1432–1434 (2015)
R.I. Putri, S. Wibowo, M. Rifa’i, Maximum power point tracking for photovoltaic using incremental conductance method. Energy Procedia 68, 22–30 (2015)
M.H. Moradi, A.R. Reisi, A hybrid maximum power point tracking method for photovoltaic systems. Sol. Energy 85(11), 2965–2976 (2011)
Y. Jia, Robust control with decoupling performance for steering and traction of 4WS vehicles under velocity-varying motion. IEEE Trans. Control Syst. Technol. 8(3), 554–569 (2000)
J. Hu, J. Zhang, Research on MPPT control algorithm for photovoltaic power generation system based on numerical method. Power Sci. Eng. 25(07), 1–6 (2009)
Y. Liu, K. Ying, H. Xin, et al., Control strategy of photovoltaic power generation system based on quadratic interpolation method. Autom. Electr. Power Syst. 36(21), 29–35 (2012)
Y. Jia, Alternative proofs for improved LMI representations for the analysis and the design of continuous-time systems with polytopic type uncertainty: a predictive approach. IEEE Trans. Autom. Control 48(8), 1413–1416 (2003)
X. Wen, Application Design of MATLAB Neural Network (Science Press, Beijing, 2001), pp. 35–72
J. Jiang, Design and transient simulation of grid-connected photovoltaic system controlled by improved MPPT (Yanshan University, 2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, Y., Han, S., Wang, F. (2019). An Improved Algorithm for Maximum Power Point Tracking of Photovoltaic Cells Based on Newton Interpolation Method. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2018 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 528. Springer, Singapore. https://doi.org/10.1007/978-981-13-2288-4_56
Download citation
DOI: https://doi.org/10.1007/978-981-13-2288-4_56
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2287-7
Online ISBN: 978-981-13-2288-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)