Lifetime analysis of semiconductor switch of MPPT for different photovoltaic technologies considering ambient conditions

Photovoltaic (PV) systems are one of the clean and sustainable energy source. The performance and lifetime of the PV system are mainly affected by maximum power point tracker (MPPT) algorithms, ambient conditions (e.g., radiation, temperature and wind speed) and PV technologies (i.e., monocrystalline, polycrystalline and thin film). In the literature, some of the power electronic converters in the PV system have been analyzed for different locations and mission profiles. However, lifetime evaluation of MPPT has not been investigated under different PV technologies. In this study, a lifetime evaluation for MPPT is presented in terms of three different PV technologies. The output power of PV technologies is obtained by PV model with a high accuracy based on measured radiation, temperature and wind speed profile. The power distribution and relative damages are calculated for each PV technology. Lifetime evaluations of MPPT have been carried out considering relative damages. MPPT lifetime is calculated as 42.5 years for monocrystalline, 46 years for polycrystalline and 47.5 years for thin film PV technology. The results reveal that PV technology has a significant impact on the lifetime of MPPT.

[1]  Mahera Musallam,et al.  An Efficient Implementation of the Rainflow Counting Algorithm for Life Consumption Estimation , 2012, IEEE Transactions on Reliability.

[2]  Frede Blaabjerg,et al.  Lifetime Evaluation of Grid-Connected PV Inverters Considering Panel Degradation Rates and Installation Sites , 2018, IEEE Transactions on Power Electronics.

[3]  Darrell F. Socie,et al.  Simple rainflow counting algorithms , 1982 .

[4]  Rosa A. Mastromauro,et al.  Control Issues in Single-Stage Photovoltaic Systems: MPPT, Current and Voltage Control , 2012, IEEE Transactions on Industrial Informatics.

[5]  G. Nicoletti,et al.  Fast power cycling test of IGBT modules in traction application , 1997, Proceedings of Second International Conference on Power Electronics and Drive Systems.

[6]  H. Cui Accelerated temperature cycle test and Coffin-Manson model for electronic packaging , 2005, Annual Reliability and Maintainability Symposium, 2005. Proceedings..

[7]  Bilal Akin,et al.  An Active Life Extension Strategy for Thermally Aged Power Switches Based on the Pulse-Width Adjustment Method in Interleaved Converters , 2016, IEEE Transactions on Power Electronics.

[8]  I. Nakir,et al.  An Improved Matlab-Simulink Model of PV Module considering Ambient Conditions , 2014 .

[9]  M. Liserre,et al.  Toward Reliable Power Electronics: Challenges, Design Tools, and Opportunities , 2013, IEEE Industrial Electronics Magazine.

[10]  Hui Huang,et al.  A Lifetime Estimation Technique for Voltage Source Inverters , 2013, IEEE Transactions on Power Electronics.

[11]  Ali Durusu,et al.  Determination of Optimum Tilt Angle for Different Photovoltaic Technologies Considering Ambient Conditions: A Case Study for Burdur, Turkey , 2017 .

[12]  Mladen Knezic,et al.  Power loss model for efficiency improvement of boost converter , 2011, 2011 XXIII International Symposium on Information, Communication and Automation Technologies.

[13]  O. Alatise,et al.  Experimental Investigation on the Effects of Narrow Junction Temperature Cycles on Die-Attach Solder Layer in an IGBT Module , 2017, IEEE Transactions on Power Electronics.

[14]  Robert W. Erickson,et al.  High Efficiency DC-DC Converters for Battery- Operated Systems with Energy Management , 1999 .

[15]  Marco Liserre,et al.  Thermal Stress Analysis and MPPT Optimization of Photovoltaic Systems , 2016, IEEE Transactions on Industrial Electronics.

[16]  Canras Batunlu,et al.  Effects of Power Tracking Algorithms on Lifetime of Power Electronic Devices Used in Solar Systems , 2016 .

[17]  U. Drofenik,et al.  New physical model for lifetime estimation of power modules , 2010, The 2010 International Power Electronics Conference - ECCE ASIA -.

[18]  L. Moore,et al.  Five years of operating experience at a large, utility‐scale photovoltaic generating plant , 2008 .

[19]  Enes Ugur,et al.  A New MPPT Algorithm for Vehicle Integrated Solar Energy System , 2016 .

[20]  Govindasamy Tamizhmani,et al.  Photovoltaic Module Thermal/Wind Performance: Long-Term Monitoring and Model Development for Energy Rating , 2003 .

[21]  Chung-Yuen Won,et al.  Power Loss Analysis of Interleaved Soft Switching Boost Converter for Single-Phase PV-PCS , 2010 .

[22]  E. W. C. Wilkins,et al.  Cumulative damage in fatigue , 1956 .

[23]  Bidyadhar Subudhi,et al.  A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems , 2013, IEEE Transactions on Sustainable Energy.