Integrated Intelligent Energy ›› 2023, Vol. 45 ›› Issue (2): 53-60.doi: 10.3969/j.issn.2097-0706.2023.02.007

• Source–Grid Coordination • Previous Articles     Next Articles

Modeling for output characteristics of the partially occluded photovoltaic array based on image singular value decomposition

DING Kun1(), LIU Zengquan1(), ZHANG Jingwei1, YANG Zenan1, LI Zheyu2   

  1. 1. College of Mechanical & Electrical Engineering,Hohai University, Changzhou 213022, China
    2. Changzhou Key Laboratory of Photovoltaic System Integration & Production Equipment Technology, Changzhou 213022, China
  • Received:2022-11-23 Revised:2023-02-05 Online:2023-02-25 Published:2023-03-14
  • Supported by:
    National Natural Science Foundation of China(51777059)

Abstract:

In order to accurately evaluate the power generation performance of a photovoltaic(PV) array under complex partial shading conditions, a modeling method for PV array output characteristics based on image singular value decomposition is proposed. The occlusion type and contour features of the model can be accurately extracted by whale optimization-random singular value decomposition. The locating of occlusion areas can be accurate to a single PV cell. Then the proportion of the occlusion area on each cell is obtained to construct the occlusion state matrix. Based on the single diode model, the partial occlusion model of the PV array is established according to the occlusion state matrix. The modeling realizes the fast and accurate calculation of current-voltage(I-V) characteristics, and supports the generation performance evaluation of PV power plants according to on-site monitoring photos or videos.

Key words: PV generation, PV array, partial occlusion, whale optimization, random singular value decomposition, image processing, output characteristic, on-site supervision

CLC Number: