This paper proposes a robust second order sliding mode controller as maximum power point tracking (MPPT) technique in a photovoltaic (PV) boost dc-dc converter with applications to stand-alone systems. The proposed method is independent respect to load type, robust against parametric uncertainties and disturbances. By Lyapunov theorem the asymptotic stability of the closed loop control system is proven. The proposed second order sliding mode controller is simulated with Matlab software and experimental set up in presence of sinusoidal disturbances on output voltage.
AhmedJSalamZ. (2018) An enhanced adaptive P&O MPPT for fast and efficient tracking under varying environmental conditions. IEEE Transactions on Sustainable Energy: 1-1.
2.
AlsumiriM. (2019) Residual incremental conductance based nonparametric MPPT Control for solar photovoltaic energy conversion system. IEEE Access7: 87901–87906.
3.
AnowarMHRoyP. (2019) A modified incremental conductance based photovoltaic MPPT charge controller. In: 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 7–9February2019, pp. 1–5.
4.
ChenWLaiZHuangW. (2019) Maximum voltage point tracking for partially-shaded PV modules. In: 2019 10th International Conference on Power Electronics and ECCE Asia (ICPE 2019 – ECCE Asia), 27–30 May 2019. 1960–1963.
5.
DasP. (2016) Maximum power tracking based open circuit voltage method for PV system. Energy Procedia90: 2213.
6.
DhaouadiGDjamelOYoucefSSalahC (2019) Implementation of incremental conductance based MPPT algorithm for photovoltaic system. In: 2019 4th International Conference on Power Electronics and their Applications (ICPEA), 25–27 September 2019, pp. 1–5.
7.
ElbasetAAAliHSattarM A-EKhaledM. (2016) Implementation of a modified perturb and observe maximum power point tracking algorithm for photovoltaic system using an embedded microcontroller. IET Renewable Power Generation10: 551–560.
8.
FatemiSMShadluMSTalebkhahA (2019) Comparison of three-point P&O and hill climbing methods for maximum power point tracking in PV systems. In: 2019 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 12–14 February 2019, pp. 764–768.
9.
Fesharaki VahidJSheikholeslamFMotlagh Mohammad RezaJ (2017a) Implementation of photovoltaic panel MPPT through robust feedback linearization controller. International Journal of Emerging Electric Power Systems.
10.
Fesharaki VahidJSheikholeslamFJahed MotlaghMR (2017b) Maximum power point tracking with constraint feedback linearization controller and modified incremental conductance algorithm. Transactions of the Institute of Measurement and Control40: 2322–2331.
11.
HarragABahriH. (2017) Novel neural network IC-based variable step size fuel cell MPPT controller: Performance, efficiency and lifetime improvement. International Journal of Hydrogen Energy42: 3549–3563.
12.
HuaCCFangYHWongCJ. (2018) Improved solar system with maximum power point tracking. IET Renewable Power Generation12: 806–814.
13.
Jafari FesharakiV, MDJafari FesharakiJ. (2011) The effect of temperature on photovoltaic cell efficiency. In: Proceedings of the 1st International Conference on Emerging Trends in Energy Conservation – ETEC, Tehran, Iran.
14.
JohnRMohammedSSZachariahR (2017) Variable step size perturb and observe MPPT algorithm for standalone solar photovoltaic system. In: 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), 23–25 March 2017, pp. 1–6.
15.
KaranayilBCeballosSPouJ. (2019) Maximum power point controller for large-scale photovoltaic power plants using central inverters under partial shading conditions. IEEE Transactions on Power Electronics34: 3098–3109.
16.
KoutroulisESasonNGeorgiadisV. (2019) Combined tracking of the maximum power and maximum efficiency operating points for real-time maximization of the energy production of PV Systems. IEEE Transactions on Power Electronics34: 8634–8645.
17.
MengZShaoWTangJZhouH. (2018) Sliding-mode control based on index control law for MPPT in photovoltaic systems. CES Transactions on Electrical Machines and Systems2: 303–311.
18.
MessaltiSHarragALoukrizA. (2017) A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation. Renewable and Sustainable Energy Reviews68: 221–233.
19.
OzdemirSAltinNSefaI. (2017) Fuzzy logic based MPPT controller for high conversion ratio quadratic boost converter. International Journal of Hydrogen Energy42: 17748–17759.
20.
ÖzgençBAltaşİH (2019) Implementation of a new maximum power point tracking algorithm for partially shaded PV systems. In: 2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25–26 April 2019, pp. 119–123.
21.
PragallapatiNAgarwalV (2013) Flyback configuration based micro-inverter with distributed MPPT of partially shaded PV module and energy recovery scheme. In: 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), 16–21 June 2013, pp. 2927–2931.
22.
SelvakumarSMadhusmitaMKoodalsamyC, et al. (2019) High-speed maximum power point tracking module for PV systems. IEEE Transactions on Industrial Electronics66: 1119–1129.
23.
SherHAMurtazaAFNomanA, et al. (2015) A new sensorless hybrid MPPT Algorithm based on fractional short-circuit current measurement and P&O MPPT. IEEE Transactions on Sustainable Energy6: 1426–1434.
24.
ValenciagaFInthamoussouF. (2018) A novel PV-MPPT method based on a second order sliding mode gradient observer. Energy Conversion and Management176: 422–430.
25.
VillalvaMGGazoliJRFilhoE. (2009) Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Transactions on Power Electronics24: 1198–1208.
26.
YousriDBabuTSAllamD, et al. (2019) A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions. IEEE Access7: 121432–121445.
27.
YoussefATelbanyMEZekryA. (2018) Reconfigurable generic FPGA implementation of fuzzy logic controller for MPPT of PV systems. Renewable and Sustainable Energy Reviews82: 1313–1319.
