soft switched flyback microinverter for photovoltaic applications with artificial intelligence control
AINA THERESA PEREIRA,MAHESWARAN K.
Published in International Journal of Advanced Research in Electrical and Electronics Engineering
ISSN: 2321-4775 Impact Factor:1.6 Volume:2 Issue:2 Year: 21 June,2016 Pages:93-100
Abstract
Renewable sources of energy are becoming more popular due to the environmental concerns and the need for energy. Solar energy is one of the most extensively exploited sources of effective natural energy. The shading effect influences the overall conversion efficiency of the Photovoltaic (PV) system. Microinverters make the solar energy system less prone to effects of shading and thus high system efficiency can be achieved. Microinverters are low power DC-AC converters that are attached to each solar PV panel of a solar energy system which are mainly based on flyback converter topology. The voltage conversion can be done by single step or multi-step topologies. Zero Voltage Switching (ZVS) technique is implemented for this topology with the help of a simple snubber circuit with a few passive elements and variable frequency control technique. An increment in the output voltage and a reduction in the switching losses can be achieved by the implementation of Artificial Neural Networks (ANN) based controller for the closed loop control. High voltage gain is achieved by the modified inverter and thus making the low power inverter for the utilization of PV applications. By the implementation of artificial intelligence based Maximum Power Point Tracking (MPPT) control technique, the Maximum Power Point (MPP) will be extracted within a reduced tracking time. Thus modified system acts as an effective interface between PV system and the AC grid.
Kewords
Photovoltaic (PV), Flyback Topology, Microinverter, MPPT, Fuzzy, ANN, ZVS
Reference
#1. Aniruddha Mukherjee, Majid Pahlevaninezhad and Gerry Moschopoulos, “A Novel ZVS Resonant Type Flyback Microinverter with Regenerative Snubber”, 29th Annual IEEE Applied Power Electronics Conference and Exposition (APEC), Fort Worth, pp. 2958-2964, 2014. #2. Tamotsu Ninomiya, Tetsur Tanaka and Koosuke Harada, “Analysis and Optimization of a Nondissipative LC Turn-Off Snubber”, IEEE Transactions on Power Electronics, vol. 3, no. 2, pp. 147-155, 1988. #3. A. Ch. Kyritsis and E. C. Tatakis, “Optimum Design of the Current-Source Flyback Inverter for Decentralized Grid-Connected Photovoltaic Systems”, IEEE Transactions on Energy Conversion, vol. 23, no. 1, pp. 281-293, 2008. #4. M. G. Villalva, J. R. Gazoli and E. Ruppert F.,” Modelling and Circuit Based Simulation of Photovoltaic Arrays”, Brazilian Journal of Power Electronics, vol. 14, no. 1, pp. 35-45, 2009. #5. Trishan Esram and Patrick L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques”, IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439-449, 2007. #6. Lallu Mol K Johny and Muhammedali Shafeeque K, “PV Fed Flyback DC-AC Inverter with MPPT Control”, International Conference on Magnetics, Machines & Drives (AICERA-2014 iCMMD), Kottayam, pp. 1-6, 2014. #7. Haitham Hassan, Mostafa Abel Geliel and Mahmoud Abu-Zeid, “A Proposed Fuzzy Controller for MPPT of a Photovoltaic System”, IEEE Conference on Energy Conversion (CENCON), Johor Bahru, pp. 164-169, 2014. #8. Dr. T. Govindaraj and Dhivya N. M, “Simulation Modelling on Artificial Neural Network Based Voltage Source Inverter Fed PMSM”, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 2, no. 1, 2014. #9. Haritha K. P. and Albert Alexander S., “Output Voltage Regulation Techniques for Solar Fed Cascaded Multilevel Inverter”, International Journal of Advanced Information Science and Technology (IJAIST), vol. 23, no. 3, 2014.
