A high-performance controller and strategy can significantly ameliorate the dynamic and transient capability of doubly fed induction generator (DFIG) based wind turbine. As regards, the wind speed has essentially defined the generated power by DFIG, thus, both the active and the reactive power must be followed out according to the entrance wind in the nominal and disturbance conditions. Toward this objective, noninteger order fuzzy proportional integral derivative (NIOFPID) controller based direct power control (DPC) strategy is proposed in this paper to minimize the deviation of both active and reactive power with the aim of accurate and speedy tracking of these powers. In the same vein, the aforementioned problem must be formulized in the form of the multi-objective optimization problem. Multi-objective particle swarm optimization (MOPSO) is here taken into account to intermingle with the simultaneous coordination of NIOFPIDs. The performance of held forth controller has been further evaluated under the affected power system caused by short circuit and flicker events. Eventually, the simulation results under transient and steady-state conditions demonstrate the dynamic and transient performance of NIOFPID-based DPC.
Issue Section:
Research Papers
References
1.
González
, J. S.
, and Arántegui
, R. L.
, 2016
, “A Review of Regulatory Framework for Wind Energy in European Union Countries: Current State and Expected Developments
,” Renewable Sustainable Energy Rev.
, 56
(4
), pp. 588
–602
.2.
Aref
, A.
, Davoudi
, M.
, Razavi
, F.
, and Davoodi
, M.
, 2012
, “Optimal DG Placement in Distribution Networks Using Intelligent Systems
,” Energy Power Eng.
, 4
(2
), pp. 92
–98
.3.
Islam
, M.
, Mekhilef
, S.
, and Saidur
, R.
, 2013
, “Progress and Recent Trends of Wind Energy Technology
,” Renewable Sustainable Energy Rev.
, 21
(3
), pp. 456
–468
.4.
IEA
, 2013
, “Annual Market Update
,” Brussels, Belgium
, pp. 250
–255
.5.
Yaramasu
, V.
, Wu
, B.
, Sen
, P. C.
, Kouro
, S.
, and Narimani
, M.
, 2015
, “High-Power Wind Energy Conversion Systems: State-of-the-Art and Emerging Technologies
,” Proc. IEEE
, 103
(5
), pp. 740
–788
.6.
Falehi
, A. D.
, and Rafiee
, M.
, 2017
, “Enhancement of DFIG-Wind Turbine's LVRT Capability Using Novel DVR Based Odd-Nary Cascaded Asymmetric Multi-Level Inverter
,” Int. J. Eng. Sci. Technol.
, 20
(3
), pp. 805
–824
.7.
Li
, H.
, and Chen
, Z.
, 2008
, “Overview of Different Wind Generator Systems and Their Comparisons
,” IET Renewable Power Gener.
, 2
(2
), pp. 123
–138
.8.
Wu
, B.
, Lang
, Y.
, Zargari
, N.
, and Kouro
, S.
, 2011
, Power Conversion and Control of Wind Energy Systems
, Vol. 77
, Wiley
, Hoboken, NJ, pp. 87
–152
.9.
Arifujjaman
, M.
, Iqbal
, M.
, and Quaicoe
, J. E.
, 2010
, “Vector Control of a DFIG Based Wind Turbine
,” IU-J. Electr. Electron. Eng.
, 9
(2
), pp. 1057
–1066
.10.
Takahashi
, I.
, and Noguchi
, T.
, 1986
, “A New Quick Response and High Efficiency Control Strategy of an Induction Motor
,” IEEE Trans. Ind. Appl.
, 22
(5
), pp. 820
–827
.11.
Xu
, L.
, and Cartwright
, P.
, 2006
, “Direct Active and Reactive Power Control of DFIG for Wind Energy Generation
,” IEEE Trans. Energy Convers.
, 21
(3
), pp. 750
–758
.12.
Lee
, H. H.
, Dzung
, P. Q.
, and Nguyen
, H. N.
, 2010
, “A New Fuzzy Logic Approach for Control System of Wind Turbine With Doubly Fed Induction Generator
,” IEEE International Forum on Strategic Technology
(IFOST
), Ulsan, South Korea, Oct. 13–15, pp. 134
–139
.13.
Shehata
, E. G.
, 2015
, “Sliding Mode Direct Power Control of RSC for DFIGs Driven by Variable Speed Wind Turbines
,” Alexandria Eng. J.
, 54
(4
), pp. 1067
–1075
.14.
Abdelmalek
, S.
, Barazane
, L.
, and Larabi
, A.
, 2016
, “A Novel Scheme for Current Sensor Faults Diagnosis in the Stator of a DFIG Described by a T-S Fuzzy Model
,” Measurement
, 91
(9
), pp. 680
–691
.15.
Zolfaghari
, M.
, Taher
, S. A.
, and Monuz
, D. V.
, 2016
, “Neural Network-Based Sensorless Direct Power Control of Permanent Magnet Synchronous Motor
,” Ain Shams Eng. J.
, 7
(2
), pp. 729
–740
.16.
Medjber
, A.
, Guessoum
, A.
, Belmili
, H.
, and Mellit
, A.
, 2016
, “New Neural Network and Fuzzy Logic Controllers to Monitor Maximum Power for Wind Energy Conversion System
,” Energy
, 106
(12
), pp. 137
–146
.17.
Evangelista
, C. A.
, Valenciaga
, F.
, and Puleston
, P.
, 2012
, “Multivariable 2-Sliding Mode Control for a Wind Energy System Based on a Double Fed Induction Generator
,” Int. J. Hydrogen Energy
, 37
(13
), pp. 10070
–10075
.18.
Sabatier
, J.
, Lanusse
, P.
, Melchior
, P.
, and Oustaloup
, A.
, 2015
, Fractional Order Differentiation and Robust Control Design
(Intelligent Systems, Control and Automation: Science and Engineering), Vol. 77
, Springer, Dordrecht, The Netherlands.19.
Xue
, D.
, and Chen
, Y. Q.
, 2002
, “A Comparative Introduction of Four Fractional Order Controllers
,” Fourth World Congress on Intelligent Control and Automation
, Shanghai, China, June 10–14, pp. 3228
–3235
.20.
Zamani
, M.
, Ghartemani
, M. K.
, Sadati
, N.
, and Parniani
, M.
, 2009
, “Design of a Fractional Order PID Controller for an AVR Using Particle Swarm Optimization
,” Control Eng. Pract.
, 17
(12
), pp. 1380
–1387
.21.
Alomoush
, M. I.
, 2010
, “Load Frequency Control and Automatic Generation Control Using Fractional-Order Controllers
,” Electr. Eng.
, 91
(7
), pp. 357
–368
.22.
Podlubny
, I.
, 1999
, Fractional Differential Equations
, Academic Press, San Diego, CA
.23.
Ebrahimkhani
, S.
, 2016
, “Robust Fractional Order Sliding Mode Control of Doubly-Fed Induction Generator (DFIG)-Based Wind Turbines
,” ISA Trans.
, 63
(4
), pp. 343
–354
.24.
Asghar
, M.
, and Ullah
, N.
, 2018
, “Performance Comparison of Wind Turbine Based Doubly Fed Induction Generator System Using Fault Tolerant Fractional and Integer Order Controllers
,” Renewable Energy
, 116
(Pt. B), pp. 244–264.25.
Burton
, T.
, Sharpe
, D.
, Jenkins
, N.
, and Bossanyi
, E.
, 2001
, Wind Energy Hand-Book
, Wiley
, Chichester, UK
.26.
Betz
, A.
, 1967
, “Introduction to the Theory of Flow Machines
,” J. Appl. Math. Mech.
, 47
(2
), pp. 140
–141
.27.
Kennedy
, J.
, and Eberhart
, R.
, 2001
, Swarm Intelligence
, Morgan Kaufmann Publishers, San Diego, CA
.28.
Hingorani
, N. G.
, and Gyugyi
, L.
, 2000
, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems
, IEEE Press
, New York
.29.
Falehi
, A. D.
, 2018
, “MOPSO Based TCSC–ANFIS–POD Technique: Design, Simultaneous Scheme, Power System Oscillations Suppression
,” J. Intell. Fuzzy Syst.
, 34
(1
), pp. 23
–34
.30.
Li
, H.
, and Zhang
, Q.
, 2009
, “Multi-Objective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
,” IEEE Trans. Evol. Comput.
, 13
(2
), pp. 284
–302
.31.
Falehi
, A. D.
, and Mosallanejad
, A.
, 2016
, “Neoteric HANFISC–SSSC Based on MOPSO Technique Aimed at Oscillation Suppression of Interconnected Multi-Source Power Systems
,” IET Gener., Transm. Distrib.
, 10
(7
), pp. 1728
–1740
.32.
Falehi
, A. D.
, 2013
, “Design and Scrutiny of Maiden PSS for Alleviation of Power System Oscillations Using RCGA and PSO Techniques
,” J. Electr. Eng. Technol.
, 8
(3
), pp. 402
–410
.33.
Hu
, W.
, Chen
, Z.
, Wang
, Y.
, and Wang
, Z.
, 2009
, “Flicker Mitigation by Active Power Control of Variable-Speed Wind Turbines With Full-Scale Back-to-Back Power Converters
,” IEEE Trans. Energy Convers.
, 24
(3
), pp. 640
–649
.34.
Zhang
, Y.
, Chen
, Z.
, Hu
, W.
, and Cheng
, M.
, 2014
, “Flicker Mitigation by Individual Pitch Control of Variable Speed Wind Turbines With DFIG
,” IEEE Trans. Energy Convers.
, 29
(1
), pp. 20
–28
.Copyright © 2018 by ASME
You do not currently have access to this content.
