Fault Diagnosis for Building Grid-Connected Photovoltaic System Based on Analysis of Energy Loss

Peng Xu; Jin Ming Hou; Deng Kuo Yuan

doi:10.4028/www.scientific.net/AMR.805-806.93

Paper Titles

Effect of Water Distribution Ways on the Operation of Solar Pond
p.74

Study on Resistance of Probe for Solar-Powered Irrigation Device
p.78

Research on Anti-Islanding Technology for Photovoltaic Grid-Connected Based on the Positive Power Feedback
p.82

Research on Designing Rooftop Photovoltaic Systems and Building Integration in Cold Areas
p.88

Fault Diagnosis for Building Grid-Connected Photovoltaic System Based on Analysis of Energy Loss
p.93

Influence of Oxygen Ions Bombardment on Optical Properties of MgF₂ Anti-Reflection Films
p.99

The Study of Mathematical Model of the Solar Cell
p.103

Theoretical Simulation of Optical Collector for Solar Optic Fiber Lighting System Based on Rotary Parabola Mirror
p.110

Photovoltaic Power Generation Forecasting Model with Improved Support Vector Machine Regression Based on Rough Set and Similar Day
p.114

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 805-806Fault Diagnosis for Building Grid-Connected...

Fault Diagnosis for Building Grid-Connected Photovoltaic System Based on Analysis of Energy Loss

Abstract:

The photovoltaic (PV) systems are the most promising options to meet the rapidly increasing energy demand for renewable energy resources development. A simple and well fault diagnosis system can guarantee the normal operation of photovoltaic systems. This paper proposes a simple diagnostic method to tell the operating status of the PV systems by contrasting the simulation parameters and the measured parameters. The diagnostic algorithm uses the irradiance level, the PV modules temperature, the number of PV modules and its output power as the inputs. So, just temperature and irradiance sensors, as well as several power meters are needed in the monitoring system forming part of the fault diagnostic system. The proposed fault detection method has been successfully validated in simulation and experiment.

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Periodical:

Advanced Materials Research (Volumes 805-806)

Pages:

93-98

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.805-806.93

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Online since:

September 2013

Authors:

Peng Xu, Jin Ming Hou, Deng Kuo Yuan

Keywords:

Fault Diagnosis, Pv System, Simulation Model, Supervision

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