Journal of Electrical Engineering ›› 2023, Vol. 18 ›› Issue (2): 245-253.doi: 10.11985/2023.02.025

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Global Maximum Power Point Tracking Algorithm Based on Conductance Increment Method

LIU Zuosong1(), WANG Hongyan1(), ZHOU Mengen2, QIAN Yang1   

  1. 1. School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 210016
    2. Guohua (Jiangsu) Wind Power Co., Ltd., Dongtai 224200
  • Received:2022-08-11 Revised:2022-11-28 Online:2023-06-25 Published:2023-07-12

Abstract:

Under the partially shaded condition(PSC), the power curve of the photovoltaic array has multiple peaks. The traditional tracking methods are effective under uniform illumination condition(UIC), but cannot track the global peak(GP) under PSC. In order to track GP quickly and effectively under uniform illumination condition and partially shaded condition, a GP tracking algorithm based on variable step incremental conductance(INC) method is proposed. The main body of the algorithm consists of four steps, which are executed circularly to find the global peak point. In order to improve the tracking accuracy, the algorithm uses an INC algorithm with variable step size to reduce the disturbance step size near the local peak point. In order to reduce the tracking time, the algorithm uses two kinds of perturbation step. Especially in step 2 and step 3, the tracking speed is accelerated by adopting a larger disturbance step size. Finally, the effectiveness of the proposed algorithm is verified by building a model in Matlab. Simulation results show that the proposed method is faster, more accurate and more efficient than the traditional INC global method.

Key words: PV array, conductance increment method, local shadow, global peak

CLC Number: