Diagnosis of Output Power Lowering in a PV Array by Using the Kalman-Filter Algorithm

The number of photovoltaic (PV) generators has been significantly increased worldwide as a main renewable energy resource. The output power of PV generators mainly depends on the solar irradiance, module temperature, and field conditions. Therefore, the maintenance of the PV system is necessary to improve the reliability in its use. In this paper, a novel method to diagnose output power lowering in a PV array is proposed to keep the good performance of its output power based on the relationships between PV module temperature, current, and voltage under maximum power point conditions. In particular, the proposed method does not require the accurate information in specification on PV module and sensors for measuring irradiation levels, which are required in conventional monitoring systems. This results in the reduction of cost. Then, it is effectively applied to a practical PV system by using the Kalman-filter algorithm. The performances of the proposed diagnosis method are evaluated and verified with the laboratory experiment and field tests as well as the PSCAD/EMTDC-based simulation test.

[1]  Minwon Park,et al.  A novel real-time simulation technique of photovoltaic generation systems using RTDS , 2004, IEEE Transactions on Energy Conversion.

[2]  Mohammad A. S. Masoum,et al.  Closure on "Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power point tracking" , 2002 .

[3]  Pedro Pérez-Higueras,et al.  A method for evaluating shading losses involved in a GC-BIPV using real data , 2012, International Multi-Conference on Systems, Sygnals & Devices.

[4]  E. Kamen,et al.  Introduction to Optimal Estimation , 1999 .

[5]  Vivek Agarwal,et al.  Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions , 2008, IEEE Transactions on Industrial Electronics.

[6]  R. Hara,et al.  Testing the technologies , 2009, IEEE Power and Energy Magazine.

[7]  L. Dorobantu,et al.  Depositions effects and losses caused by shading on photovoltaic panels , 2011, Proceedings of the 2011 3rd International Youth Conference on Energetics (IYCE).

[8]  Eung-Sang Kim,et al.  Modeling and Control of a Grid-connected Wind/PV Hybrid Generation System , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[9]  Tomonobu Senjyu,et al.  Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller , 2003, IEEE Trans. Ind. Electron..

[10]  E. E. van Dyk,et al.  Assessing the reliability and degradation of photovoltaic module performance parameters , 2004, IEEE Transactions on Reliability.

[11]  G. Ledwich,et al.  A Kalman Filtering Approach to Rapidly Detecting Modal Changes in Power Systems , 2007, IEEE Transactions on Power Systems.

[12]  Jaewon Oh,et al.  Temperature testing and analysis of PV modules PER ANSI/UL 1703 and IEC 61730 standards , 2010, 2010 35th IEEE Photovoltaic Specialists Conference.

[13]  Masafumi Miyatake,et al.  A novel maximum power point tracking for photovoltaic applications under partially shaded insolation conditions , 2008 .

[14]  Chung-Yuen Won,et al.  C-language based PV array simulation technique considering effects of partial shading , 2009, 2009 IEEE International Conference on Industrial Technology.

[15]  B. Lehman,et al.  Decision tree-based fault detection and classification in solar photovoltaic arrays , 2012, 2012 Twenty-Seventh Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[16]  N. Jenkins,et al.  A model of PV generation suitable for stability analysis , 2004, IEEE Transactions on Energy Conversion.

[17]  M. Masoum,et al.  Theoretical and Experimental Analyses of Photovoltaic Systems with Voltage and Current-Based Maximum Power Point Tracking , 2002, IEEE Power Engineering Review.

[18]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[19]  S. Yamanaka,et al.  Diagnosis of a Power Output Lowering of PV Array with a (-dI/dV)-V Characteristic , 2006, 2006 IEEE 4th World Conference on Photovoltaic Energy Conference.

[20]  Edward W. Kamen,et al.  Recursive Estimation and the Kalman Filter , 1999 .