In low-power device scenarios, there is a requirement for frequent battery replacement whenever the battery gets discharged. So, instead of charging the battery with conventional methods, which is difficult in remote areas, energy can be harvested from solar energy. The main goal is to get the maximum power from the solar panel at the load side, which can be achieved by the Maximum Power Point Tracking (MPPT) method. Solar energy is obtained in DC form, and DC-DC converters deliver the solar power to a load, which can be stepped up or down depending on the requirements. For duty cycle control of a boost converter, the perturb and observe (P&O) approach is used in this paper. This paper presents a MATLAB Simulink model to optimize the design of the converter modeling, and validation to achieve the MPP. The modeling has been verified under different irradiance and load variations. The extracted power efficiency was achieved by up to 91%.

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Modeling of Solar Cell to Achieve Maximum Power Point Using a Boost Converter

  • J. Hemanth Kumar,
  • Samikshya Das,
  • Sudip Kundu

摘要

In low-power device scenarios, there is a requirement for frequent battery replacement whenever the battery gets discharged. So, instead of charging the battery with conventional methods, which is difficult in remote areas, energy can be harvested from solar energy. The main goal is to get the maximum power from the solar panel at the load side, which can be achieved by the Maximum Power Point Tracking (MPPT) method. Solar energy is obtained in DC form, and DC-DC converters deliver the solar power to a load, which can be stepped up or down depending on the requirements. For duty cycle control of a boost converter, the perturb and observe (P&O) approach is used in this paper. This paper presents a MATLAB Simulink model to optimize the design of the converter modeling, and validation to achieve the MPP. The modeling has been verified under different irradiance and load variations. The extracted power efficiency was achieved by up to 91%.