Comparison of MPPT Systems in Error Optimization using PID, Fuzzy and Hybrid Fuzzy in Multivariable Environment

Chandani Sharma, Anamika Jain


Recent surveys conducted in the field of Power Control and Engineering show that photovoltaic (PV) systems are currently being discussed worldwide and research on the same is being carried globally. It is necessary to optimize the expanding use of photovoltaic systems through error detection in Maximum Power Point Tracking (MPPT) systems. Through this paper, an attempt is made to develop an efficient photovoltaic MPPT system using hybrid fuzzy technique to extract maximum power under a multivariable environment (changing temperature and irradiance). The MPPT system using Hybrid Controller (combining PID & FLC) has an increased efficiency and optimized output in comparison to the MPPT system using PID and Fuzzy individually. The system has explored a concept of computing academic performance indices with three MPPT models for future research based on global MPP calculation. 

Citation: Sharma, C., and Jain, A. (2018). Comparison of MPPT Systems in Error Optimization using PID, Fuzzy and Hybrid Fuzzy in Multivariable Environment. Trends in Renewable Energy, 4, 8-21. DOI: 10.17737/tre.2018.4.3.0046


PV; MPPT; Hybrid fuzzy; PID and Fuzzy; Global MPP; Academic performance indices

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Chandani Sharma, Anamika Jain, “Solar Panel Mathematical Modelling using Simulink” International Journal of Engineering Research and Applications, vol. 4, no. 5, pp 67-72, May 2014.

Chandani Sharma, Anamika Jain, “Simulink based Multivariable Solar Panel Modelling” Telkominika Indonesian Journal of Electrical Engineering, vol. 12, no. 8, pp 5784-5792, August 2014.

Chandani Sharma, Anamika Jain, “Maximum Power Point Tracking Techniques-A Review” International Journal of Recent Research in Electrical and Electronics Engineering, vol. 1, no. 1, pp. 25-33, June 2014.

Chandani Sharma, Anamika Jain, “Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT” International Journal of Power Electronics and Drive Systems, vol. 6, no. 3, pp. 625-635, September 2015.

Chandani Sharma, Anamika Jain, “Modeling of Buck Converter Models in MPPT using PID and FLC”, TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 13, no. 4, pp. 1270-1280, December 2015.

Chandani Sharma, Anamika Jain, “Academic Performance Indices: Error Calculation in Distributed MPP Tracking using PID and FLC” Journal of Graphic Era University, vol. 4, no. 1, pp. 1-16, August 2016.

B. Subudhi, R. Pradhan, “Characteristics evaluation and parameter extraction of a solar array based on experimental analysis,” in Proceedings of 9th IEEE Power Electronics and Drives Systems, Singapore, December 5–8, 2011. DOI: 10.1109/PEDS.2011.6147269

Tarak Salmi, Mounir Bouzguenda, Adel Gastli, Ahmed Masmoudi, “MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell”, International Journal of Renewable Energy Research, vol. 2, no. 2, pp. 213-218, 2012.

J. Jantzen, “Tuning of Fuzzy PID Controllers”, Tech. report no 98-H 871 (fpid), Technical University of Denmark, Department of Automation, 30 Sep 1998. (accessed on 4/26/2018)

S. Z. He, S. Tan and F. L. Xu, “Fuzzy self-tuning of PID controllers”, Fuzzy Sets and Systems, vol. 56, pp. 37-46, 1993.

J. Surya Kumari, C. Saibabu, “Maximum Power Point Tracking Algorithms for Grid Connected Photovoltaic Energy Conversion System”, International Journal of Power Electronics and Drive System, vol. 3, no. 4, pp. 424-437, December 2014.

B. Subudhi, R. Pradhana, “A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems” IEEE Transactions on Sustainable Energy, vol. 4, no. 1, pp. 89 – 98, January 2013.

M. S. Ait Cheikh, C. Larbes, G. F. Tchoketch Kebir, A. Zerguerras “Maximum power point tracking using a fuzzy logic control scheme”, Revue des Energies Renouvelables, vol. 10 no. 3, pp. 387 – 395, 2007.

C. A. R. Paja, G. Spagnuolo, G. Petrone, M. Vitelli, J. D. Bastidas, “A multivariable MPPT algorithm for granular control of PV systems,” in Proc. IEEE Int. Symp. Ind. Electron., pp. 3433–3437, 2010.

Rosa A. Mastromauro, Marco Liserre, Antonio Dell Aquila, “Control Issues in Single-Stage Photovoltaic Systems MPPT, Current and Voltage Control” IEEE Transactions on Industrial Informatics, vol. 8, no. 2, pp. 241-254, May 2012.

Huiying Zheng, Shuhui Li, Timothy A. Haskew, Yang Xiao, “Impact of uneven shading and bypass diodes on energy extraction characteristics of solar photovoltaic modules and arrays”, International Journal of Sustainable Energy, vol. 32, no. 5, pp. 351-365, October 2013.

Tow Leong Tiang, Dahaman Ishak, “Modeling and simulation of deadbeat-based PI controller in a single-phase H-bridge inverter for stand-alone applications”, Turkish Journal of Electrical Engineering & Computer Sciences, vol. 22, pp. 43-56, January 2014.

International Energy Agency, Technology Roadmap: Solar Photovoltaic Energy, 2014. (accessed on 4/26/2018)

D. Sera, L. Mathe, T. Kerekes, S.V. Spataru, R. Teodorescu, “On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems” IEEE Journal of Photovoltaics, vol 3, no. 3, pp. 1070 – 1078, July 2013.

Essam Natsheh, A. Khalid Buragga, “Comparison between Conventional and Fuzzy Logic PID Controllers for Controlling DC Motors”, International Journal of Computer Science Issues, vol. 7, no. 5, pp. 128-134, September 2010.

P. Venugopal, A. Ganguly, P. Singh, “Design of Tuning Methods of PID Controller using Fuzzy Logic”, International Journal of Emerging trends in Engineering and Development, vol. 5, no. 3, pp. 239-248, September 2013.

Reseeds, “Control System Optimisation: Criteria and Analytical Methods”, 2003. (accessed on 4/26/2018)



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