Maximum Power Extraction from Photovoltaic System using Integral Sliding Mode Control

In this paper, an Integral Sliding Mode Control (ISMC) is presented to extract maximum power from photovoltaic (PV) system in the presence of uncertainties. The considered SISO system is affected by bounded uncertainty, which is directly effecting desire output of PV system. The main objective of this paper is to design such closed loop control system which can tolerate the uncertainty and make possible the maximum power extraction from PV system. Hence, ISMC is proposed as a robust control mechanism against these uncertainties. The efficiency of the presented concept is demonstrated in detail, using results of numerical simulations.

[1]  Rajesh Kumar Nema,et al.  Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications , 2013 .

[2]  Ahteshamul Haque,et al.  Maximum Power Point Tracking (MPPT) Scheme for Solar Photovoltaic System , 2014 .

[3]  Marco Faifer,et al.  Iterative model-based Maximum Power Point Tracker for photovoltaic panels , 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[4]  Matthew Lanford Bond.  Current sensorless maximum power point tracking and energy harvesting for thermoelectric generators , 2014 .

[5]  V. Utkin,et al.  Integral sliding mode in systems operating under uncertainty conditions , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[6]  Montaser Abd El Sattar,et al.  Implementation of a modified perturb and observe maximum power point tracking algorithm for photovoltaic system using an embedded microcontroller , 2016 .

[7]  Jean-Pierre Barbot,et al.  Sliding Mode Control In Engineering , 2002 .

[8]  Seddik Bacha,et al.  Fault diagnosis in a grid-connected photovoltaic system by applying a signal approach , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

[9]  Robert S. Balog,et al.  MPPT of Photovoltaic Systems Using Sensorless Current-Based Model Predictive Control , 2017, IEEE Transactions on Industry Applications.

[10]  Iftikhar Ahmad,et al.  MPPT for photovoltaic system using nonlinear backstepping controller with integral action , 2018, Solar Energy.

[11]  R. D. De Doncker,et al.  Innovative and Reliable Power Modules: A Future Trend and Evolution of Technologies , 2014, IEEE Industrial Electronics Magazine.

[12]  Ye Zhao,et al.  Graph-Based Semi-supervised Learning for Fault Detection and Classification in Solar Photovoltaic Arrays , 2015, IEEE Transactions on Power Electronics.