In this paper, a new concurrent unity power factor and constant stator flux linkage (UPF-CFL) control is presented. The main goal of this technique is to introduce the Permanent Magnet Synchronous Generator (PMSG) as an optimal wind energy transducer. The handled generator load angle and back EMF control achieve the optimum requirements for wind applications namely Maximum Power Point Tracking (MPPT). To do this, both UPF and CFL are integrated into one control methodology to obtain the advantages of each one. While the first well utilizes the apparent power increasing the generator side converter capability, the second protects the generator against magnetic saturation to enable higher speed operation. Mathematical model based on constant current fed equivalent circuit is presented taking the constraints of each individual control algorithm into account. The concurrent performance characteristics are presented and compared with each of concurrent separated algorithm characteristics for assessments. The control technique is implemented and finally, simulation testing is provided for evaluation.
AbdelmjidBAbdeljalilEHassanA, et al. (2018) Intelligent methods for the maximization of the energy of wind systems with synchronous generators permanent magnet. In: International conference on electronic engineering and renewable energy (ICEERE 2018), Saidia, Morocco, 15–17 April 2018, pp.587–596, Singapore: Springer.
2.
AbdullahMAYatimATanCW, et al. (2012) A review of maximum power point tracking algorithms for wind energy systems. Renewable and Sustainable Energy Reviews16: 3220–3227.
3.
AyrirWHaddiA (2019) Direct torque control-based power factor control of a DFIG. Energy Procedia162: 296–305.
4.
DahbiAHachemiMNait-SaidN, et al. (2014) Realization and control of a wind turbine connected to the grid by using PMSG. Energy Conversion and Management84: 346–353.
5.
DangCZhangLZhouM (2011) Optimal power control model of direct driven PMSG. Energy Procedia12: 844–848.
6.
DaoNDLeeD (2019) Speed sensor less control based on stator currents for PMSG wind energy conversion systems. In: IEEE applied power electronics conference and exposition (APEC), Anaheim, CA, 17–21March.
7.
DaoNDLeeDLeeS (2018) A simple and robust sensor less control based on stator current vector for PMSG wind power systems. IEEE Access7: 8070–8080.
8.
ElsonbatyNHolmesPG (1982) A doubly-fed generator operating as a wind energy transducer with unity power factor and optimum phase angle control. In: Proceedings of the universities power engineering conference, Paper B2, April 1982. Manchester: University of Manchester.
9.
ElsonbatyNHolmesPG (1983a) Constant current excitation of a doubly-fed generator operating as a wind energy transducer. In: Proceeding of the universities power engineering conference, pp.677–682. UK: University of Surrey Surrey England.
10.
ElsonbatyNHolmesPG (1983b) A cycloconverter excited, doubly fed machine as a wind power converter. In: Proc. IEE, vol. 131. Pt. B. No.2 March 1984 Transducer, Proceeding of the universities power engineering conference, pp.677–682. UK: University of Dundee Dundee Scotland.
11.
ElsonbatyNHolmesPGSalamaM, et al. (1993) VSCF induction generation in stand-alone micro-hydro generating systems. In: IEE, Renewable Energy Conference Proceeding, Publication no. 385, London, November.
12.
ElsonbatyNAAbdelgawadAFAbo ZayedUR, et al. (2016) High performance steady state modeling & controlling algorithm for DFIG. In: 2016 eighteenth international middle east power systems conference (MEPCON), Cairo, Egypt, 27–29 December, pp.353–359. New York: IEEE.
13.
ElsonbatyNAEnanyMADiabAM (2015a) Steady state modeling and ANFIS based analysis of doubly – fed induction generator. ERJ. Engineering Research Journal38(3): 117–125.
14.
ElsonbatyNAEnanyMADiabAM (2015b) Steady state modeling and ANFIS based analysis of doubly – fed induction generator. In: Michael Faraday IET International Summit–2015, MFIIS (2015), Kolkata, 12–13 September.
15.
ElsonbatyNAEnanyMADiabAM (2017) Proposed control policy for stabilized DFIG energy transducer. In: 19th international middle east power systems conference, MEPCON 2017, Cairo, 27–29 December, pp.585–593. New York: IEEE.
16.
ElsonbatyNAEnanyMADiabAM (2018a) Proposed control policy for high power transfer capability DFIG. Electric Power Systems Research155: 144–152.
17.
ElsonbatyNAEnanyMAMohamedM (2018b) Proper excitation ratio for improved performance doubly fed induction generator in wind applications. International Journal of Power and Energy Systems38(4): 152–159.
18.
ElsonbatyNAEnanyMAElymanyM (2020a) Assessment of proposed MPPT-UPF algorithms for optimum operation PMSG-Based wind turbine. Wind Engineering. Epub ahead of print 4February2020. DOI: 10.1177/0309524X20901624.
19.
ElsonbatyNAEnanyMAElymanyM (2020b) Proposed rotor field - oriented maximum power point tracking polices for permanent magnet synchronous generator - based wind turbine. Wind Engineering. Epub ahead of print 20July2020. DOI: 10.1177/0309524X20935133.
20.
ElsonbatyNAEnanyMAMohamedM (2015) Novel control strategy of static Kramer induction generator. In: Michael Faraday IET International Summit–2015, MFIIS (2015), Kolkata, 12–13 September.
21.
ErramiYMaaroufiMOuassaidM (2013) A MPPT vector control of electric network connected wind energy conversion system employing PM synchronous generator. In: 2013 international renewable and sustainable energy conference (IRSEC), Ouarzazate, Morocco, 7–9 March. New York: IEEE.
22.
FlavinC (2008) Low-carbon Energy: A Roadmap, World Watch Report 178. Washington, DC: World watch Institute.
23.
HolmesPGElsonbatyN (1984) The stability of a cyclo-converter- excited, doubly fed generator driven by a wind or water source. In: Proceeding of the universities power engineering conference, April. UK: University of Dundee Dundee Scotland.
24.
KotRRolakMMalinowskiM (2013) Comparison of maximum peak power tracking algorithms for a small wind turbine. Mathematics and Computers in Simulation91: 29–40.
25.
LiSHaskewTAXuL (2010) Conventional and novel control designs for direct driven PMSG wind turbines. Electric Power Systems Research80(3): 328–338.
26.
LiWChenZWenX, et al. (2019) Unity power factor control for surface mounted Permanent Magnet Synchronous Generator (PMSG) based on polar coordinate current locus. Journal of Physics: Conference Series1303: 012129.
27.
MishraRBanerjeeUSekharTN, et al. (2019) Development and implementation of control of stand-alone PMSG-based distributed energy system with variation in input and output parameters. IET Electric Power Applications13(10): 1497–1506.
28.
MohamedAAHaridyALHemeidaAM (2019) The whale optimization algorithm based controller for PMSG wind energy generation system. In: 2019 international conference on innovative trends in computer engineering (ITCE’2019), Aswan, Egypt, 2–4 February. New York: IEEE.
29.
MousaHHHYoussefAMohamedEEM (2019) Modified P&O MPPT algorithm for optimal power extraction of five-phase PMSG based wind generation system. SN Applied Sciences1(8): 838.
30.
NguyenHTAl-SumaitiASVuVP, et al. (2020) Optimal power tracking of PMSG based wind energy conversion systems by constrained direct control with fast convergence rates. International Journal of Electrical Power & Energy Systems118: 105743.
31.
PidikitiTRam DasG (2019) Analysis and performance evaluation of DFIG and PMSG based wind energy systems. International Journal of Computing and Digital Systems8(6): 557–563.
32.
RezaeiNMehranKCossarC (2019) A model-based implementation of an MPPT technique and a control system for a variable speed wind turbine PMSG. International Journal of Modeling, Identification and Control31(1): 3–15.
33.
ShehataEG (2017) A comparative study of current control schemes for a direct-driven PMSG wind energy generation system. Electric Power Systems Research143: 197–205.
34.
SoufiYKahlaSMohceneB (2016) Feedback linearization control based particle swarm optimization for maximum power point tracking of wind turbine equipped by PMSG connected to the grid. International Journal of Hydrogen Energy41(45): 20950–20955.
35.
ThayumanavanPMuthuRSankararamanJ (2014) Sensor-less field oriented control of wind turbine driven permanent magnet synchronous generator using flux linkage and back EMF estimation methods. Research Journal of Applied Sciences, Engineering and Technology7(20): 4303–4312.
36.
Zhong-QiangWWen-JingJLi-RuZ, et al. (2015) Maximum wind power tracking for PMSG chaos systems - ADHDP method. Applied Soft Computing36: 204–209.
37.
ZhouDFredeBMogensL, et al. (2015) Optimized reactive power flow of DFIG power converters for better reliability performance considering grid codes. IEEE Transactions on Industrial Electronics62(3): 1552–1562.
