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  • 标题:Design and Simulation of Perturb and Observe MPPT Algorithm for 72 Cell Solar PV System
  • 本地全文:下载
  • 作者:Manish Srivastava ; Sunil Agarwal ; Ekta Sharma
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2015
  • 卷号:4
  • 期号:6
  • 页码:49-53
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:This paper present the design and performance of present stand-alone solar photovoltaic energy system with p and o based mppt algorithm. The system is designed for a solar-PV panels of 72 cell.P and O algorithms is used for efficient tracking of Maximum power point and comparative analysis is done with the conventional model without MPPT algorithm. . In this method, the array terminalvoltage is always adjusted according to the MPP voltage and the duty cycle is adjusted directly in the algorithm. The control loop is simplified, and the computational time for tuning controllergains is eliminated.The system as good dynamic response and good tracking accuracy. The system includes a solar panel, MPPT(maximum power point tracking ) controller, a dc-dc converter, and a single phase VSI(voltage source inverter). The proposed system is simulated using MATLAB/Simulink model
  • 关键词:Gimbal; Digital Controller; Frequency Domain;Bode Plot; Accuracy.
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