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N. Fermia, D. Granozio, G. Petrone and M. Vitelli, “Predictive & Adaptive MPPT Perturb and Observe Method,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, No. 3, 2007, pp. 934-950. doi:10.1109/TAES.2007.4383584

has been cited by the following article:

• TITLE: Real-Time Implementation of Solar Inverter with Novel MPPT Control Algorithm for Residential Applications

  AUTHORS: Ayaz Ahmad, Rajaji Loganathan

  KEYWORDS: PV Cells; Solar Inverter; MPPT Control; DCDC Converter and Current Controller

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.6, August 16, 2013

  ABSTRACT: Solar energy is a fast growing energy resource among the renewable energy resources in the market and potential for solar power is huge to contribute towards the power demand almost in all the countries. To capture the maximum power from the sun light in order to generate maximum power from the inverter, control system must be an equally efficient with the well designed power electronic circuits. Maximum power point tracking (MPPT) control system in general is taking care of extraction of maximum power from the sun light whereas current controller is mainly designed to optimize the inverter power to feed to power grid. In this paper, a novel MPPT algorithm using neuro fuzzy system is presented to ensure the maximum MPPT efficiency in order to ensure the maximum power across the inverter terminals. Simulation and experimental results for residential solar system with power electronic converters and analysis have been presented in this paper in order to prove the proposed algorithm.