Abstract
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.
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Rokeya, J.M. and Ariful, I., Modeling and performance analysis of PVmodule with maximum power point tracking in Matlab/Simulink, Appl. Sol. Energy, 2015, vol. 51, no. 4. pp. 245–252.
Farayola, A.M., Ali, N.H., and 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.
Ben, H.M. and Sbita, L., A maximum power tracking algorithm based on photovoltaic current control for matching loads to a photovoltaic generator, Appl. Sol. Energy, 2012, vol. 48, no. 4, pp. 238–244.
Mohammed, S.S., Devaraj, D., and Imthias Ahamed, T.P., Modeling, simulation and analysis of photovoltaic modules under partially shaded conditions, Indian J. Sci. Technol., 2016, vol. 9, no. 16.
Sumedha, S., Maximum power point tracking algorithm for photovoltaic system: A review, Int. Rev. Appl. Eng. Res., 2014, vol. 4, no. 2, pp. 147–154.
Chandani, S. and Anamika, J., Comparative studies of DC-DC converters for solar panel MPPT, AKGEC Int. J. Technol., 2014, vol. 5, no. 2, pp. 29–34.
Farayola, A.M., Ali, N.H, Ali, A., and 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.
Smita, P. and Ratina, D., Series-connected shaded modules to address partial shading conditions in SPV systems, AIP Conf. Proc., 2016, vol. 1715, no. 1.
Kok, S.T. and Mekhilef, S., Modified incremental conductance algorithm for photovoltaic system under partial shading conditions and load variation, IEEE Trans. Ind. Electron., 2014, vol. 61, no 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, vol. 9, no. 3.
Jalakanuru, N.R., Performance study of incremental conductance and modified incremental conductance MPPT algorithms for photovoltaic applications, Int. J. Sci., Eng. Technol. Res. (IJSETR), 2016, vol. 5, no. 3, pp. 701–705.
Divya, C.H. and Rao, G.V., Modified incremental conductance method for MPPT of solar panels using RCController, Int. J. Professional Eng. Studies, 2017, vol. 8, no. 3.
Abdul-Karim, R., Muyeen, S.M., and Al-Durra, A., Review of maximum power point tracking techniques for photovoltaic system, Global J. Control Eng. Technol., 2016, vol. 2, pp. 8–18.
Pakkiraiah, B. and Durga, S.G., Research survey on various MPPT performance issues to improve the solar PVsystem efficiency, J. Sol. Energy, 2016, vol. 2016, p. 20.
El-Khozondar, H.J., El-Khozondar, R.J., Khaled, M., and Teuvo, S., A Review Study of Photovoltaic Array Maximum Power Tracking Algorithms, Springer Open Renewables: Wind, Water, and Solar, 2016.
Savaliya, S. and Soumyadeep, R., A comparative study on different MPPT techniques applied on photovoltaic system, Int. J. Adv. Res. El., Electron. Instrum. Eng. (IJAREEIE), 2015, vol. 4, no. 3.
Rekioua, D. and Matagne, E., Optimization of Photovoltaic Power Systems, Green Energy and Technology, Springer; ISSN 1865-3529.
Reisi, A.R., Moradi, M.H., and Jamasb, S., Classification and comparison of maximum power point tracking techniques for photovoltaic system: A Review, ELSEVIER Renewable and Sustainable Energy Reviews, 2013, vol. 19, pp. 433–443.
Dhande, D.P., Chaudhari, A.P., and Mahajan, G.K., A review of various MPPT techniques for photovoltaic systems, Int. J. Innovations Eng. Res. Technol., 2015, vol. 2, no. 12.
Madaci, B., Hemsas, K.E., Chenni, R., and Khellaf, A., Maximum power point tracking technical based on Fuzzy Logic Controller for Photovoltaic System, Proceedings of 27th Research World International Conference, Paris, France, January 2017, pp. 7–11.
Tey, K.S. and Mekhilef, S., Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level, Solar Energy, 2014, vol. 101, pp. 333–342.
Mehmet, A. and Yilmaz, A.S., Improving the performance of MPPT on DC grid PVsystems by modified incremental conductance algorithm, JOCET, 2017, vol. 5, no. 2, pp. 114–119.
Natsheh, E.M., Power generation of solar PVsystems in Palestine, Appl. Sol. Energy, 2016, vol. 52, no. 3, pp. 193–196.
Farayola, A.M., Ali, N.H., and Ahmad, A., Curve fitting polynomial technique compared to ANFIS technique for maximum power point tracking, 8th IEEE International Renewable Energy Congress (IREC) 2017, Amman, Jordan, 2017.
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Farayola, A.M., Hasan, A.N. & Ali, A. Implementation of modified incremental conductance and fuzzy logic MPPT techniques using MCUK converter under various environmental conditions. Appl. Sol. Energy 53, 173–184 (2017). https://doi.org/10.3103/S0003701X17020050
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DOI: https://doi.org/10.3103/S0003701X17020050