In this work, an optimal control scheme based on the Maximum Power Point tracking for the Wind Energy Conversion System using Permanent Magnet Synchronous Generator (PMSG) is proposed and also modeled. The system studied in this paper consists of wind energy system powering a battery using a buck-boost converter as an interface. By modifying the buck-boost duty cycle, we vary the reflected voltage at PMSG, and accordingly its speed. It is controlled with Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) approach. The overall system is simulated with MATLAB/SIMULINK.
AgarwalVAggarwalRKPatidarP, et al. (2010) A novel scheme for rapid tracking of maximum power point in wind energy generation systems. IEEE Transactions on Energy Conversion25(1): 228–236.
2.
BalasundarCSudharshananSElakkiyavendanR (2015) Design of an optimal tip speed ratio control MPPT algorithm for standalone WECS. International Journal for Research in Applied Science and Engineering Technology3: 442–450.
3.
BlaabjergFChenZTeodorescuR, et al. Power electronicsin wind turbine systems. In: Proc. CES/IEEE Fifth Int. PowerElectron. Motion Control Conf. (IPEMC 2006), Shanghai, China, Aug. 14–16, 2006, pp.1–11.
4.
DalalaZMZahidZUYuW, et al. (2013) Design and analysis of an MPPT technique for small-scale wind energy conversion systems. IEEE Transactions on Energy Conversion28: 756–767.
5.
GraggerJVHaumerAEinhornM (2010) Averaged model of a buck converter for efficiency analysis. Engineering Letter18(1): 1–6.
6.
HaqueMENegnevitskyMMuttaqiKM (2010) A novel control strategy for a variable-speed wind turbine with a permanent-magnet synchronous generator. IEEE Transactions on Industry Applications46: 331–339.
7.
HeydariMSmedleyK (2015) Comparison of maximum power point tracking methods for medium to high power wind energy systems. In: Proceedings of 2015 20th Conference on Electrical Power Distribution Networks Conference (EPDC), Zahedan, pp. 184–189. New York: IEEE.
8.
HuangCLiFJinZ (2015) Maximum Power Point Tracking Strategy for large-scale wind generation systems considering wind turbine dynamics. IEEE Transactions on Industrial Electronics [May 1963]62(4): 2530–2539.
9.
MahdavianMWattanapongsakornNShahgholianG, et al. (2014) Maximum power point tracking in wind energy conversion systems using tracking control system based on fuzzy controller. In: Proceedings of 2014 11th Inter-national Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), NakhonRatchasima, May 14–17, New York: IEEE.
10.
MarouaniHTounsiS (2014) Design of a coiled rotor synchronous motor dedicated to electric traction. Journal of Electrical Systems10(3): 344–358.
11.
MireckiA (2005) Etude comparative de chaines de conversion d’‘energied’ ediees ‘a une éolienne de petite puissance. PhD thesis.
12.
NasiriMMilimonfaredJFathiSH (2014) Modeling, analysis and comparison of TSR and OTC methods for MPPT and power smoothing in permanent magnet synchronous generator-based wind turbines. Energy Conver. Manag86: 892–900.
13.
NasriNTounsiS (2015) Design and Optimization of Renewable Energy Structure. Journal of Electrical Engineering7(8): 1–13.
14.
NejiRTounsiSSellamiF (2006) Contribution à la définition d'un moteur à aimant permanent avec un coût de production réduit pour la propulsion du véhicule électrique. Transactions européennes sur l'énergie électrique (ETEP), Vol. 16, pp. 437–460.
15.
NejiRTounsiSSellamiF (2006) Contribution to the definition of a permanent magnet motor with reduced production cost for the electrical vehicle propulsion. European Transactions on Electrical Power16: 437–460.
16.
PertuzaC (1996) Contribution à la définition de moteurs à aimants permanents pour un véhicule électrique routier. Thèse de docteur de l’Institut National Polytechnique de Toulouse, Février.
17.
RahimAHMA (2014) Optimum relation based maximum power point tracking of a PMSG wind generator through converter controls. In: Proceedings of the 7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014), Manchester, pp. 1–6. New York: IEEE.
18.
SinghMChandraA (2011) Application of adaptive network-based fuzzy inference system for sensorless control of PMSG-Based wind turbine with nonlinear-load-compensation capabilities. IEEE Transactions on Power Electronics26: 165–175.
19.
SuilahANadiaGBoudayaA, et al. (2015) Modelling of Synchronous Generation System for Renewable Energy. International Journal of Electrical Components and Energy Conversion1(1): 36–43.
20.
TanKIslamS (2004) Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors. IEEE Transactions on Energy Conversion19: 392–399.
21.
TounsiS (2015) Systemic design and optimization improving performances of permanent magnet motors. International Journal of Electrical Components and Energy Conversion1(1): 1–15.
22.
TounsiS (2015) Design and optimization of axial flux brushless DC generator dedicated to generation of renewable energy. American Journal of Electrical Power and Energy Systems4(3): 1–5.
23.
TounsiS (2022) New approach of maximum power point tracking for wind energy conversion system. Wind Engineering46(6): 1735–1752.
24.
TounsiSNejiRSellamiF (2006) Contribution à la conception d’un actionneur à aimants permanents pour véhicules électriques en vue d’optimiser l’autonomie. In: Revue Internationale de Génie Electrique, Vol. 9, 6-2006, pp. 693–718. Édition Lavoisier.
25.
WeiCZhangZQiaoW, et al. (2016) An adaptive network-based reinforcement learning method for MPPT control of PMSG wind energy conversion systems. IEEE Transactions on Power Electronics31(11): 7837–7848.
