Kok Soon Tey

TL;DR: In this paper, a comprehensive and systematic review of the direct forecasting of PV power generation is presented, where the importance of the correlation of the input-output data and the preprocessing of model input data are discussed.

TL;DR: The results show that the proposed modified incremental conductance algorithm is able to track the GMPP accurately under different types of partial shading conditions, and the response during variation of load and solar irradiation are faster than the conventional Inc Cond algorithm.

TL;DR: A modified incremental conductance algorithm is proposed that responds accurately when the solar irradiation level increases and shows zero oscillation in the power of the solar module after the maximum power point (MPP) is tracked.

TL;DR: Results of the simulation and experiment using single-ended primary-inductor converter showed that the response of the proposed algorithm is four times faster than the conventional incremental conductance algorithm during the load and solar irradiation variation.

TL;DR: An improved global search space differential evolution algorithm for tracking the GMPP and faster respond against load variation; optimization algorithm can search for theGMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter; and easy tuning as less parameter has to be set in the algorithm.