A comparative study of different MPPT methods for grid-connected partially shaded photovoltaic systems

mouna ben smida, anis sakly

Abstract


Partial shading is considered as one of the unavoidable complicated phenomenon in solar power generation systems. Under shade, the photovoltaic (PV) characteristics displays numerous local maxima. Such situations are very challenging for Maximum Power Point Tracking (MPPT) conventional techniques for reaching the global maximum, which considerably reduces the PV systems’ energy yield. This paper suggests a comparative analysis between the several MPPT algorithms for partially shaded grid-connected photovoltaic system. Indeed, these techniques involve the fuzzy logic as well as the genetic algorithm methods. The grid side control is also investigated in this work through the development of different control loops. Simulation tests have been performed under MATLAB/Simulink environment to highlight the suggested method’s effectiveness.


Keywords


Partial shading; photovoltaic system;maximum power point tracking (MPPT); Fuzzy logic Control (FLC), Genetic Algorithm (GA)

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References


S. Lalouni, D. Rekioua, T. Rekioua, E. Matagne, “Fuzzy logic control of stand-alone photovoltaic system with battery storageâ€, Power Sources, 193: 89:907, 2009.

N. S .D'Souza, L. A Lopes, & Liu, X, “Comparative study of variable size perturbation and observation maximum power point trackers for PV systemsâ€. Electric Power Systems Research, 80(3), 296-305.

D. Beriber, A. Talha, “MPPT algorithms for PV systemsâ€. Fourth International Conference on Power Engineering, Energy and Electrical Drives: 2013.

S.Boukhalfa , F.Bouchafaa, T.Aounallah,“ Optimisation of a GPV by an Artificial Intelligence Technicalâ€, INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH, Vol.2, No.4, 2012.

A. Maki, S. Valkealahti, “Power losses in long string and parallel-connected short strings of series-connected silicon-based photovoltaic modules due to partial shading conditionsâ€, IEEE Transactions on Energy Conversion 27 ,pp 173–183, 2012.

E. Koutroulis, F. Blaabjerg, “A new technique for tracking the global maximum power point of PV arrays operating under partial-shading conditionsâ€, IEEE Journal of Photovoltaics pp184–190, 2012.

T. L ,Nguyen, K. S. Low, ,“A global maximum power point tracking scheme employing DIRECT search algorithm for photovoltaic systemsâ€, Industrial Electronics, IEEE Transactions on, 57(10), 3456-3467, 2010.

P.Guerriero, F. Di Napoli,, d’Alessandro, V., & Daliento, S,†Accurate Maximum Power Tracking in Photovoltaic Systems Affected by Partial Shadingâ€, International Journal of Photoenergy, 2015.

Y. Shaiek, M. Ben Smida., A. Sakly,, & M. F., Mimouni, “Comparison between conventional methods and GA approach for maximum power point tracking of shaded solar PV generatorsâ€. Solar Energy, 90, 107-122, 2013..

S.Choudhury, P.K.Rout,“ Adaptive Fuzzy Logic Based MPPT Control for PV System under Partial Shading Condition†International Journal of Renewable Energy Research, Vol.5, No.4, 2015

R.Ramaprabha, & B. L. Mathur, “Soft computing optimization techniques for solar photovoltaic arraysâ€. ARPN J Eng Appl Sci, 6(10), 70-5, 2011.

G.Tsengenes, & G.Adamidis, “Investigation of the behavior of a three phase grid-connected photovoltaic system to control active and reactive powerâ€, Electric Power Systems Research, 81(1), 177-184, 2011.




DOI (PDF): https://doi.org/10.20508/ijrer.v6i3.4168.g6891

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