Composite Imagery-Based Non-Uniform Illumination Sensing for System Health Monitoring of Solar Power Plants

Author:

Arosh Sirshendu1,Ghosh Kuntal23,Dheer Dharmendra Kumar4,Prakash Surya5

Affiliation:

1. D.Y. Patil International University School of Computer Science, Engineering and Applications, , Pune, Maharashtra 411044 , India

2. Asansol Engineering College Department of Electronics, and Communication Engineering, , Asansol, West Bengal 713305 , India ;

3. Indian Institute of Technology Bombay Centre for Research in Nanotechnology and Science, , Mumbai, Maharashtra 400076 , India

4. National Institute of Technology Patna Department of Electrical Engineering, , Patna, Bihar 800005 , India

5. Indian Institute of Information, Technology Allahabad Department of Electronics, and Communication Engineering, , Allahabad, Uttar Pradesh 211015 , India

Abstract

Abstract Incidence of non-uniform illumination (NUI) degrades the affected solar photovoltaic modules temporarily. However, in worst case, it may also lead to permanent degradation. Thus, non-uniform illumination sensing in terms of encompassed area over solar photovoltaic module becomes important for sustainable power generation. An integrated framework by combining optical and thermal images for non-uniform illumination sensing and classification (static and dynamic) is proposed. The proposed technique detects hotspots along with identification of the nature of shading on the solar photovoltaic modules. Additionally, Hungarian Kalman filter is implemented for estimating the coverage of the non-uniform illumination-affected region including its abrupt shape. The proposed estimation technique also calculates the total loss in the output energy of the solar photovoltaic system due to non-uniform illumination. Overall, the proposed methodology develops a hybrid imagery-dependent advanced early warning system for large-scale solar power plants which are cost-effective and bypass multi-sensor data fusion to attain real-time application.

Publisher

ASME International

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

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