Title: Research on improving adaptive variable step length MPPT algorithm

Authors: Shi-hong Qin; Fa-ting Yuan; Li Cheng; Lin Zhou; Yun Dong

Addresses: School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430074, China ' School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430074, China ' School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430074, China ' School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430074, China ' School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430074, China

Abstract: The control of a photovoltaic power generation system with maximum power point tracking (MPPT) is the core in solar power system. Selecting step length affects tracking speed and power output stability of the system directly. This paper analyses the variable step length conductance incremental method, an improved adaptive variable step length conductance incremental method. The MPPT algorithm is proposed based on the analysis of dynamic characteristics of a photovoltaic battery and P-U characteristic curve. Besides, Matlab simulation model is also established. The simulation results show that the algorithm can track maximum power point accurately. It can also reduce the system tracking time dramatically and avoid tracking deviation effectively. It enhances the stability of the PV system and at the same time improves the efficiency of the photovoltaic power generation system output.

Keywords: adaptive MPPT; variable step MPPT; algorithm; photovoltaic power generation; maximum power point tracking; conductance incremental method; simulation; solar power; solar energy; tracking deviation; PV power generation.

DOI: 10.1504/IJSNET.2015.068177

International Journal of Sensor Networks, 2015 Vol.17 No.3, pp.139 - 145

Published online: 19 Mar 2015 *

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