A New MPPT Algorithm Based on ANN in Solar PV Systems

  • Hong Zhang
  • Shuying Cheng
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 121)

Abstract

To optimize the solar energy efficiency, maximum power point tracking (MPPT) algorithm is usually used in solar photovoltaic (SPV) systems. In this paper, a new MPPT method based on artificial neural network (ANN) has been proposed for searching maximum power point (MPP). The new combined method is established on the three-point comparing method and ANN-based PV model method. The three-point comparing method has the advantage of searching the MPP exactly when the solar irradiance changes sharply, and it can make the system work under a stable mode. The advantage of ANN-based PV model method is the fast MPP approximation according to the parameters of PV panel. The proposed new MPPT algorithm can search the MPP fast and exactly based on the feedback voltage and current with different solar irradiance and temperature of environment. The method is simulated and studied using Matlab software and the results of simulation prove the effectiveness of the proposed algorithm.

Keywords

maximum power point tracking (MPPT) three-point comparing artificial neural network (ANN) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hong Zhang
    • 1
  • Shuying Cheng
    • 1
  1. 1.College of Physics and Information Engineering, Institute of Micro-Nano Devices and Solar CellsFuzhou UniversityFuzhouP.R. China

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