Abstract
In this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine an appropriate scaling factor accordingly to enhance the capability of maximum power point tracking (MPPT). The fast and accurate tracking can be achieved by the presented method without the need for extra irradiance and temperature sensors. Only the voltage-and-current sets of any two operating points on the characteristic curve are needed to estimate the irradiance level. By choosing a proper scaling factor, the performance of the conventional VSS INC method can be improved. To validate the studied algorithm, a 600 W prototyping circuit is constructed and the performances are demonstrated experimentally. Compared to conventional VSS INC methods under the tested conditions, the tracking time is shortened by 31.8%. The tracking accuracy is also improved by 2.1% and 3.5%, respectively. Besides, tracking energy loss is reduced by 43.9% and 29.9%, respectively.
Highlights
Solar power is clean, safe, and pollution-free
The defined as the time required for the tracking power enters the range of ±1% of maximum power point (MPP), and the tracking tracking time is defined as the time required for the tracking power enters the range of ± 1% of MPP, accuracy can be calculated by dividing the sum of the power of 1 s after steady state with the ideal and the tracking accuracy can be calculated by dividing the sum of the power of 1 s after steady state
A novel variable step size (VSS) incremental conductance (INC) maximum power point tracking (MPPT) method with adaptive scaling factor for rapid irradiance changes has been proposed in this paper
Summary
Safe, and pollution-free. no rotating parts are required during the assembly and operation of solar generation systems (SGS). To address the above-mentioned problem, researchers have presented several novel MPPT algorithms, which can be applied to a rapidly-changing environment and provide good transient response dynamics and low steady-state oscillation [3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19] These new MPPT algorithms include variable step size (VSS) techniques that adopt several fixed steps, defined by operating points [3,4], adaptive VSS algorithms [5,6,7,8,9,10,11,12,13,14,15], methods that estimate MPP locations by mathematical models [16], and advanced algorithms that calculate maximum power point (MPP) by fuzzy. Comparing with conventional adaptive VSS INC MPPT technique, the proposed method can improve both the transient response and steady-state oscillation
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