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MPPT based Auto Integrated Dust Control and Efficient Cooling Mechanism for Improving the Efficiency of Photovoltaic based System

Affiliations

  • Department of ECE, Vasavi College of Engineering, Hyderabad – 500 031, Telangana, India
  • Department of ECE, Geethanjali College of Engineering and Technology, Hyderabad - 501301, Telangana
  • Department of ECE, Gitam University, Hyderabad - 500041, Telangana, India

Abstract


Background/Objectives: It is necessary to keep the photovoltaic panels cleaned regularly to gain the maximum power output. It is inexorable that things like bird droppings, dust, pollen, leafs and mud will collect and deposit on photovoltaic modules that reduces the efficiency of these panels, by as much as 30%. This research paper presents a design and development of an automatic cooling and dust control mechanism for increasing the conversion efficiency of photovoltaic panels. Methods/Statistical Analysis: The design consists of a wiper and water sprinkler mechanism connected to the solar panel through relay driver circuit and is interfaced with PIC16F72 microcontroller. The tracking of maximum power is done through incremental conductance MPP algorithm and the duty cycle of PWM output is controlled through Cuk Converter. Wiper and water sprinkler were run through motors and the driving source for motors is battery that is charged from the solar panel connected. The operation is controlled by programming PICF72 using PIC C-compiler. The experimental method involved finding the voltage and current readings of the panel output and comparing the efficiency in the power output before and after cleaning on timely basis. Findings: The experimental method involved finding the voltage and current readings of the panel output and comparing the efficiency in the power output before and after cleaning on timely basis. The wiper is programmed to move for every hour and water is sprinkled for every six hours. The results prove that by adopting Cuk Converter compared to other converters. The design also aims on providing an automatic mechanism which reduces a huge human effort and is cost effective. Results have proved that the conversion efficiency is improved up o 45%. Application/Improvement: The design also aims on providing an automatic mechanism which reduces a huge human effort and is cost effective. Results have proved that the conversion efficiency is improved up to 45%.

Keywords

Cuk Converter, Maximum Power Point Tracking, PIC16F72 Controller, Sprinkler Interface, Wiper Interface.

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References


  • Das S, Mohanty A, Dey A, Biswas A. An integrated design of an auto clean and cooling smart PV panel. IJIET. 2015 Aug; 4(1):80–8. ISSN: 2319–1058.
  • Go SI, Ahu SJ, Choi JH. Simulation and analysis of existing MPPT control methods in a PV generation system. Journal of International Council on Electrical Engineering. 2014; 1(4):446–51.
  • Mani M, Pillai R. Impact of dust on solar photovoltaic performance: Research status, challenges and recommendations. Renewable and Sustainable Energy Reviews. 2013 Dec; 14(9):3124–31.
  • Appels R, Muthirayan B, Beerten A, Paseen R, Driesenand J, Poortmans J. The effect of dust deposition on photovoltaic modules. 38th IEEE Photovoltaic Specialists Conference (PVSC); 2012. p. 001886–9.
  • Jiang JA, Huang TL, Hsiao YT, Chen CH. Maximum power tracking for photovoltaic power systems. Tamkang Journal of Science and Engineering. 2012; 8(2):147–53.
  • Zainudin HN, Mekhilef S. Comparison study of maximum power point tracker techniques for PV systems. Proceedings of the 14th International Middle East Power Systems Conference; Cairo University, Egypt. 2010 Dec 19-21.
  • Esram T, Chapman PL. Comparision of photovoltaic array maximum power point tracking techniques. IEEE Trans Energy Conv. 2011; 22:439–49.
  • Faranda R, Leva S. Energy comparison of MPPT techniques for PV systems. WEASN Transaction on Power Systems. 2008 Jun; 3(6):446–55. ISSN: 1790-5060.
  • Maggie RLOR, Karpagavalli E. SVPWM technique for Cuk Converter with diode-capacitor network. Indian Journal of Science and Technology. 2015 Jul; 8(15). DOI: 10.17485/ ijst/2015/v8i15/54254.
  • Rezvani A, Izadbakhsh M, Gandomkar M, Vafaei S. Implementing GA-ANFIS for maximum power point tracking in PV system. Indian Journal of Science and Technology. 2015 May; 8(10). DOI: 10.17485/ijst/2015/v8i10/51832.

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