Implementation of modified incremental conductance and fuzzy logic MPPT techniques using MCUK converter under various environmental conditions

被引：19

作者：

Farayola A.M. ^{[1
]}

Hasan A.N. ^{[1
]}

Ali A. ^{[1
]}

机构：

[1] University of Johannesburg, Johannesburg

来源：

Applied Solar Energy (English translation of Geliotekhnika) | 2017年 / 53卷 / 02期

关键词：

Fuzzy logic - Microwave integrated circuits - Maximum power point trackers - Computer circuits;

D O I：

10.3103/S0003701X17020050

中图分类号：

学科分类号：

摘要：

Incremental Conductance (IC) technique is a cheap, and easy algorithm to implement for Maximum Power Point Tracking (MPPT). However, the IC technique usually takes time and suffers some delay to approach the MPP if the voltage is not near to the MPP or when subjected to rapid change in irradiance. In this paper, IC technique was implemented and compared to the modified Incremental Conductance technique (MIC) under various environmental conditions such as standard test conditions (STC) and partial shading conditions. Also the MIC method was compared to a Fuzzy Logic Controller (FLC) MPPT technique in order to evaluate the best and the accurate controller for the MPPT for different weather conditions. Results show that using FLC and MIC techniques are efficient for MPPT and may increase the PV system stability. © 2017, Allerton Press, Inc.

引用

页码：173 / 184

页数：11

共 24 条

[1]

Rokeya J.M., Ariful I., Modeling and performance analysis of PVmodule with maximum power point tracking in Matlab/Simulink, Appl. Sol. Energy, 51, 4, pp. 245-252, (2015)

[2]

Farayola A.M., Ali N.H., Ahmed A., Comparison of modified incremental conductance and Fuzzy Logic MPPT algorithm using modified CUK Converter, 8th IEEE International Renewable Energy Congress (IREC), Amman, Jordan, (2017)

[3]

Ben H.M., Sbita L., A maximum power tracking algorithm based on photovoltaic current control for matching loads to a photovoltaic generator, Appl. Sol. Energy, 48, 4, pp. 238-244, (2012)

[4]

Mohammed S.S., Devaraj D., Imthias Ahamed T.P., Modeling, simulation and analysis of photovoltaic modules under partially shaded conditions, Indian J. Sci. Technol., (2016)

[5]

Sumedha S., Maximum power point tracking algorithm for photovoltaic system: A review, Int. Rev. Appl. Eng. Res., 4, 2, pp. 147-154, (2014)

[6]

Chandani S., Anamika J., Comparative studies of DC-DC converters for solar panel MPPT, AKGEC Int. J. Technol., 5, 2, pp. 29-34, (2014)

[7]

Farayola A.M., Ali N.H., Ali A., Twala B., Distributive MPPT approach using ANFIS and perturb and observe techniques under uniform and partial shading conditions, International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES-2017) & Power, Circuit and Information Technologies (ICPCIT-2017), India, (2017)

[8]

Smita P., Ratina D., Series-connected shaded modules to address partial shading conditions in SPV systems, AIP Conf. Proc., (2016)

[9]

Kok S.T., Mekhilef S., Modified incremental conductance algorithm for photovoltaic system under partial shading conditions and load variation, IEEE Trans. Ind. Electron., (2014)

[10]

Seyedmahmoudian M., Horan B., Rahmani R., Et al., Efficient photovoltaic system maximum power point tracking using a new technique, Energies, Solar Photovoltaics Trilemma, (2016)

← 1 2 3 →