The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Ubiquitous Networking based Intelligent Monitoring and Fault Diagnosis Approach for Photovoltaic Generator Systems

태양광 발전 시스템을 위한 유비쿼터스 네트워킹 기반 지능형 모니터링 및 고장진단 기술

  • 조현철 (울산과학대학 전기전자학부) ;
  • 심광열 (울산과학대학 전기전자학부)
  • Received : 2010.04.12
  • Accepted : 2010.08.16
  • Published : 2010.09.01
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Abstract

A photovoltaic (PV) generator is significantly regarded as one important alternative of renewable energy systems recently. Fault detection and diagnosis of engineering dynamic systems is a fundamental issue to timely prevent unexpected damages in industry fields. This paper presents an intelligent monitoring approach and fault detection technique for PV generator systems by means of artificial neural network and statistical signal detection theory. We devise a multi-Fourier neural network model for representing dynamics of PV systems and apply a general likelihood ratio test (GLRT) approach for investigating our decision making algorithm in fault detection and diagnosis. We make use of a test-bed of ubiquitous sensor network (USN) based PV monitoring systems for testing our proposed fault detection methodology. Lastly, a real-time experiment is accomplished for demonstrating its reliability and practicability.

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References

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