A nonlinear maximum power point tracking technique for DFIG-based wind energy conversion systems
Tóm tắt
Từ khóa
Tài liệu tham khảo
D. Nucci, M. Rosaria, D. Russolillo, The fuzzy Europeanization of the Italian renewable energy policy: the paradox of meeting targets without strategic capacity, A Guide to EU Renewable Energy Policy, 2017, 121.
Stefan, 2016, Dynamics of the land use, land use change, and forestry sink in the European Union: the impacts of energy and climate targets for 2030, Clim. Change, 138, 253
Yogesh, 2016, Wind energy: trends and enabling technologies, Renewable Sustainable Energy Rev., 53, 209, 10.1016/j.rser.2015.07.200
Kumar, 2016, A review of conventional and advanced MPPT algorithms for wind energy systems, Renewable Sustainable Energy Rev., 55, 957, 10.1016/j.rser.2015.11.013
Taveiros, 2015, Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines, Energy, 89, 896, 10.1016/j.energy.2015.06.027
Ghaffari, 2014, Power optimization and control in wind energy conversion systems using extremum seeking, IEEE Trans. Energy Converations, 22, 1684
Castell, 2016, Development details and performance assessment of a wind turbine emulator, Renew Energy, 86, 848, 10.1016/j.renene.2015.09.010
Chang, 2014, Comparative analysis on power curve models of wind turbine generator in estimating capacity factor, Energy, 73, 88, 10.1016/j.energy.2014.05.091
Pagnini, 2015, Experimental power curve of small-size wind turbines in turbulent urban environment, Appl. Energy, 154, 112, 10.1016/j.apenergy.2015.04.117
Ram, 2017, Design and overview of maximum power point tracking techniques in wind and solar photovoltaic systems: A review, Renewable Sustainable Energy Rev., 73, 1138, 10.1016/j.rser.2017.02.009
Shilpa, 2015, Comprehensive review on maximum power point tracking techniques: wind energy, 2015, 464
Ming, 2014, The state of the art of wind energy conversion systems and technologies: a review, Energy Convers. Manage., 88, 332, 10.1016/j.enconman.2014.08.037
Zakariya, 2013, Design and analysis of an MPPT technique for small-scale wind energy conversion systems, IEEE Trans. Energy Convers., 28, 756, 10.1109/TEC.2013.2259627
Sofia, 2015, Maximum power point tracking based hybrid hill-climb search method applied to wind energy conversion system, Electr. Power Compon. Syst., 43, 1028
Chayan, 2016, Advanced fuzzy power extraction control of wind energy conversion system for power quality improvement in a grid tied hybrid generation system, IET Gener. Transm. Distrib., 10, 1179, 10.1049/iet-gtd.2015.0769
Piazza, 2016, Induction-machines-based wind generators with neural maximum power point tracking and minimum losses techniques, IEEE Trans. Ind. Electron., 63, 944, 10.1109/TIE.2015.2478746
Li, 2017, Functional-type single-input-rule-modules connected neural fuzzy system for wind speed prediction, IEEE/CAA J. Autom. Sinica, 4, 751, 10.1109/JAS.2017.7510640
Yang, 2017, Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine, Energy Convers. Manage., 133, 427, 10.1016/j.enconman.2016.10.062
Phan, 2015, Maximum energy output of a DFIG wind turbine using an improved MPPT-curve method, Energies, 8, 11718, 10.3390/en81011718
Reddak, 2016, Integral backstepping control based maximum power point tracking strategy for wind turbine systems driven DFIG, 84
Yang, 2016, Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine, Int. J. Electr. Power Energy Syst., 74, 429, 10.1016/j.ijepes.2015.07.036
Iyasere, 2012, Optimum seeking-based non-linear controller to maximise energy capture in a variable speed wind turbine, IET Control Theory Appl., 6, 526, 10.1049/iet-cta.2010.0689
Phan, 2016, Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking, Energy, 111, 377, 10.1016/j.energy.2016.05.077
Lin, 2017, Asymptotic tracking control for wind turbines in variable speed mode, IEEE/CAA J. Autom. Sinica, 4, 569, 10.1109/JAS.2017.7510568
Fateh, 2015, A maximum power tracking technique for grid-connected DFIG-based wind turbines, IEEE J. Emerging Sel. Top. Power Electron., 3, 957, 10.1109/JESTPE.2015.2448633
Ohiero, 2015
Liu, 2015, A novel MPPT method for enhancing energy conversion efficiency taking power smoothing into account, Energy Convers. Manage., 101, 738, 10.1016/j.enconman.2015.06.005
Nasiri, 2014, Modeling, analysis and comparison of TSR and OTC methods for MPPT and power smoothing in permanent magnet synchronous generator-based wind turbines, Energy Convers. Manage., 86, 892, 10.1016/j.enconman.2014.06.055
Wang, 2013, Design of backstepping power control for grid-side converter of voltage source converter-based high-voltage dc wind power generation system, IET Renewable Power Gener., 7, 118, 10.1049/iet-rpg.2012.0358
Shang, 2012, Sliding-mode-based direct power control of grid-connected wind-turbine-driven doubly fed induction generators under unbalanced grid voltage conditions, IEEE Trans. Energy Convers., 27, 362, 10.1109/TEC.2011.2180389
Krause, 2013
Zhou, 2008
Gomez-Pardillo, 2017
S. Saidi, R. Abbassi, N. Amor, S. Chebbi, Passivity-Based Direct power control of Shunt Active Filter under Distorted Grid Voltage Conditions. Automatika: asopis za automatiku, mjerenje, elektroniku, ra unarstvo i komunikacije, 57(2), pp. 361–371, 2017.