Fast Terminal Synergetic Control for Maximum Power Point Tracking of Stand-Alone Photovoltaic System

Springer Science and Business Media LLC - Tập 46 - Trang 1099-1109 - 2022
Rahma Ayat1,2, Abdelouahab Bouafia1, Jean-Paul Gaubert2
1Laboratoire Qualite d’Energie dans les Reseaux Electriques (QUERE), Universite de Ferhat Abbas, Setif, Algeria
2Laboratoire d’Informatique et d’Automatique pour les Systemes, (LIAS-ENSIP), Poitiers, France

Tóm tắt

Based on the Fast Terminal Synergetic (FTS) approach, a powerful non-linear Maximum Power Point Tracking (MPPT) controller for standalone photovoltaic (PV) systems is developed and presented in this paper. The PV system mainly contains a PV array, a boost converter, an MPPT controller and a resistive load. The proposed MPPT controller contains two loops. The first one provides an estimation of the PV voltage reference (Vref) which is used as input of the second control loop to generate the FTSC signal (dFTSC) and so ensure the finite time convergence to the Maximum Power Point (MPP) for each value of solar irradiation and cell temperature. The obtained simulation results using Matlab/SimulinkMT toolbox have proven excellent performance. Good robustness and fast dynamic response under different atmospheric conditions are successfully achieved with high reduced oscillations around the MPP.

Tài liệu tham khảo

Attia HA (2019) High performance PV system based on artificial neural network MPPT with PI controller for direct current water pump applications. Int J Power Electron Drive Syst 10:1329–1338 Attoui H, Khaber F, Melhaoui M, Kassmi K, Essounbouli N (2016) Development and experimentation of a new MPPT synergetic control for photovoltaic systems. J Optoelectron Adv Mater 18:165–173 Ayat R, Bouafia A, Gaubert JP (2021) Experimental validation of synergetic approach based MPPT controller for an autonomous PV system. IET Renew Power Gener 15(7):1515–1527. https://doi.org/10.1049/rpg2.12130 Bouchama Z, Harmas MN, Zehar K (2019) Finite time nonlinear control for DC-DC converters. Soft Comput Electr Eng 1:36–45. https://doi.org/10.1109/TIA.2003.818967 Dhanesana a., Ravishankar A. N., Anudev J., (2016) PV systems with continuous sliding mode controlled quadratic boost converter. Procedia Technol 25:808–815. https://doi.org/10.1016/j.protcy.2016.08.182 Femia N, Petrone G, Spagnuolo G, Vitelli M (2005) Optimization of perturb and observe maximum power point tracking method. IEEE Trans Power Electron 20(4):963–973. https://doi.org/10.1109/TPEL.2005.850975 Hachana A, Harmas MN (2018) Synergetic and higher order sliding mode control of blood glucose regulation in diabetes patients. J Dyn Syst Meas Control. https://doi.org/10.1115/1.4039716 Hadji S, Gaubert JP, Fateh K (2015) Theoretical and experimental analysis of genetic algorithms based MPPT for PV systems. Energy Procedia 74:772–787. https://doi.org/10.1016/j.egypro.2015.07.813 Ishaque K, Salam Z (2013) A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition. Renew Sustain Energy Rev 19:475. https://doi.org/10.1016/j.rser.2012.11.032 Jiang Z (2009) Design of a nonlinear power system stabilizer using synergetic control theory. Electron Power Syst Res 79:855–862. https://doi.org/10.1016/j.epsr.2008.11.006 Jiang Z, Dougal RA (2004) Synergetic control of power converters for pulse current charging of advanced batteries from a fuel cell power source. IEEE Trans Power Electron 19:1140–1150. https://doi.org/10.1109/TPEL.2004.830044 Li X et al (2019) A novel beta parameter based fuzzy-logic controller for photovoltaic MPPT application. Renew Energy 130:416–427 Lyden S, Haque ME (2015) Maximum power point tracking techniques for photovoltaic systems: a comprehensive review and comparative analysis. Renew Sustain Energy Rev 52:1504. https://doi.org/10.1016/j.rser.2015.07.172 Moacyre AG et al (2013) Evaluation of the main MPPT techniques for photovoltaic applications. IEEE Trans Ind Electron. https://doi.org/10.1109/TIE.2012.2198036 Rekioua D, Achour AY, Rekiouaa T (2013) Tracking power photovoltaic system with sliding mode control strategy. Energy Procedia 36:219–230. https://doi.org/10.1016/j.egypro.2013.07.025 Rezvani A et al (2016) Modeling, control, and simulation of grid connected intelligent hybrid battery/photovoltaic system using new hybrid fuzzy-neural method. ISA Trans 63:448–460. https://doi.org/10.1016/j.isatra.2016.02.013 Santi E, Monti A, Donghong L, Proddutur K, Dougal A (2003) Synergetic control for DC–DC boost converter: implementation options. IEEE Trans Ind Appl 39:1803–1813. https://doi.org/10.1109/TIA.2003.818967 Subudhi B, Pradhan R (2013) A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans Sustain Energy. https://doi.org/10.1109/TSTE.2012.2202294 Zaidi A, Dahech K, Damak T (2016) Maximum power point tracking of photovoltaic systems based on fast terminal sliding mode controller. Int J Renew Energy Res 6:1435–1445 Zerroug N, Harmas MN, Benaggoune S, Bouchama Z, Zehar K (2018) DSP-based implementation of fast terminal synergetic control for a DC–DC Buck converter. J Franklin Inst 355:2329–2343. https://doi.org/10.1016/j.jfranklin.2018.01.004