Abstract:
Maximum power point tracking (MPPT) method is essential for solar photovoltaic (SPV) of smart gird systems. For the sake of improving the speed of tracking, maintaining s...Show MoreMetadata
Abstract:
Maximum power point tracking (MPPT) method is essential for solar photovoltaic (SPV) of smart gird systems. For the sake of improving the speed of tracking, maintaining stability, and concluding the prospect of miscalculation of increasing or decreasing the photovoltaic voltage, a new individual time-adjusting stepsize adaptation technique for MPPT control method is proposed in this paper. The objective of the proposed technique is to predict the power of PV system instead of utilizing the current estimated power to achieve a better performance than conventional MPPT algorithm. The prediction is based on the previously estimated values of the PV voltage, and a time-varying stepsize that adjusts according to the log-function of the individual estimated PV voltage. The proposed technique delivers a fast convergence and has a quick response to environment changes such as irradiance and temperature. Simulation results show the outperformance of the proposed technique in terms of providing a rapid tracking to maximum power point, achieving less steady-state error, and operating steadily under rapidly changing of atmospheric conditions compared with conventional MPPT algorithm.
Date of Conference: 07-09 January 2019
Date Added to IEEE Xplore: 14 March 2019
ISBN Information: