The compression of MPPT methods in small sized wind power plants

journal of Artificial Intelligence in Electrical Engineering

مقاله 3، دوره 3، شماره 11، اسفند 2014، صفحه 19-38   

نویسندگان

Ramin shirmohammadi؛ Vahid rezanejad؛ Ali ajami

چکیده

In this paper the maximum power point tracking (MPPT) algorithms for wind energy systems are
reviewed. As the amounts of power produced in wind power plants is changing due to the
instantaneous changing nature of the wind, it is desirable to determine the one optimal generator
speed that ensures maximum energy yield. Thus, it is important to include a controller that can
track the maximum peak regardless of wind speed. Categorizing the MPPT algorithms can be
done regarding whether it has used sensors or not, as well as according to the techniques used to
locate the peak value. The performance of different MPPT algorithms is compared on the basis of
ability to achieve the maximum energy yield and various speed responses. According to available
simulation results in the literature, in cases through which the flexibility and simplicity in
implementations is considered, the perturbation and observation (P&O) method is preferred, but
difficulties in determining the optimum step-size are the restrictions of this method. Due to its
simplicity, the best MPPT method for wind energy systems has found to be the optimal torque
control (OTC).

کلیدواژه‌ها

MPPT؛ Wind power؛ PMSG؛ Boost converter

مراجع

[1] Ahmadi, Hamed, and Hassan Ghasemi (2011).
"Probabilistic optimal power flow incorporating
wind power using point estimate
methods." Environment and Electrical
Engineering (EEEIC), 2011 10th International
Conference on. IEEE.
[2] Abdullah MA, Yatim AHM, Tan CW. (2011) A
study of maximum power point tracking
algorithms for wind energy system. In: 2011
IEEE, first conference on clean energy and
technology (CET). p. 321–6.
[3] Saidur R, Islam MR, Rahim NA, Solangi KH.
(2010). A review on global wind energy policy.
Renewable and Sustainable Energy Reviews
2010; 14:1744–62.
[4]Lau KY, Yousof MFM, Arshad SNM, Anwari M,
Yatim AHM. (2010). Performance analysis of
hybrid photovoltaic/diesel energy system under
Malaysian conditions. Energy; 35:3245–55.
[5] Ngan MS, Tan CW. (2012). Assessment of
economic viability for PV/wind/diesel hybrid
energy system in southern Peninsular Malaysia.
Renewable and Sustainable Energy Reviews;
16:634–47.
[6]Bianchi F, De Battista H, Mantz R. (2006). Wind
turbine control systems: principles, modelling
and gain-scheduling design (advances in
industrial control). Lavoisier.
[7] Feng X, Jianzhong Z, Ming C. (2011). Analysis of
double objectives control for wind power
generation system with frequency separation. In:
2011 4th International Conference on Electric
Utility Deregulation and Restructuring and
Power Technologies (DRPT). p. 1366–71.
[8] Verdornschot M. (2009). Modeling and control of
wind turbines using a continuously variable
transmission [Master’s thesis]. Eindhoven:
Eindhoven University of Technology,
Department of Mechanical Engineering.
[9]Bianchi FD, De Battista H, Mantz RJ. (2007).
Wind turbine control systems: principles,
modelling and gain scheduling design. Springer-
Verlag.
[10] Hui J, Bakhshai A, Jain PK. (2011). An adaptive
approximation method for maximum power

point tracking (MPPT) in wind energy systems.
AZ: Phoenix; p. 2664–9.
[11] Llorente Iglesias R, Lacal Arantegui R, Aguado
Alonso M. (2011). Power electronics evolution
in wind turbines –a market-based analysis.
Renewable and Sustainable Energy Reviews;
15:4982–93.
[12] Chakraborty A. (2011). Advancements in power
electronics and drives in interface with growing
renewable energy resources. Renewable and
Sustainable Energy Reviews; 15:1816–27.
[13] Wang H, Nayar C, Su J, Ding M. (2011). Control
and interfacing of a grid-connected small-scale
wind turbine generator. IEEE Transactions on
Energy Conversion; 26:428–34.
[14] Chakraborty S, Kramer B, Kroposki B. (2009).
A review of power electronics interfaces for
distributed energy systems towards achieving
low-cost modular design. Renewable and
Sustainable Energy Reviews; 13:2323–35.
[15] Baroudi JA, Dinavahi V, Knight AM. (2007). A
review of power converter topologies for wind
generators. Renewable Energy; 32:2369–85
[16] Zhe C, Guerrero JM, Blaabjerg F. (2009). A
review of the state of theart of power electronics
for wind turbines. IEEE Transactions on Power
Electronics; 24:1859–75.
[17] Molina MG, dos Santos EC, Pacas M. (2010).
Advanced power conditioning system for grid
integration of direct-driven PMSG wind
turbines. In: 2010 IEEE Energy Conversion
Congress and Exposition (ECCE). p. 3366–73.
[18]Li S, Haskew TA, Xu L. (2010). Conventional
and novel control designs for direct driven
PMSG wind turbines. Electric Power Systems
Research; 80:328–38.
[19] Mena Lopez HE. (2007). Maximum power
tracking control scheme for wind generator
systems [Master Thesis]. Texas A&M
University.
[20] Muyeen SM, Takahashi R, Murata T, Tamura J.
(2010). A variable speed wind turbine control
strategy to meet wind farm grid code
requirements. IEEE Transactions on Power
Systems; 25:331–40.
[21] Zhipeng Q, Keliang Z, Yingtao L. (2011).
Modeling and control of diode rectifier fed
PMSG based wind turbine. In: 2011 4th
international conference on electric utility
deregulation and restructuring and power
technologies (DRPT). p. 1384–8.
[22] Carranza O, Garcerá G, Figueres E, González
LG. (2010). Peak current mode control of threephase
boost rectifiers in discontinuous
conduction mode for small wind power
generators. Applied Energy; 87(August):2728–
36.
[23] Kawale YM, Dutt S. (2009). Comparative study
of converter topologies used for PMSG based
wind power generation. Proceedings of the 2009
Second International M.A. Abdullah et al. /
Renewable and Sustainable Energy Reviews 16
(2012) 3220– 3227 3227 Conference on
Computer and Electrical Engineering–Volume
02. IEEE Computer Society:367–71.
[24] Raza Kazmi SM, Goto H, Hai-Jiao G, Ichinokura
O. (2010). Review and critical analysis of the
research papers published till date on maximum
power point tracking in wind energy conversion
system. In: 2010 IEEE Energy Conversion
Congress and Exposition (ECCE). p. 4075–82.
[25] Hui J, Bakhshai A. (2008). A new adaptive
control algorithm for maximum power point
tracking for wind energy conversion systems. In:
IEEE Power Electronics Specialists Conference
PESC. p. 4003–7.
[26] Kazmi SMR, Goto H, Hai-Jiao G, Ichinokura O.
(2011). A novel algorithm for fast and efficient
speed-sensorless maximum power point tracking
in wind energy conversion systems. IEEE
Transactions on Industrial Electronics; 58:29–

36.

[27] Brahmi J, Krichen L, Ouali A. (2009). A
comparative study between three sensorless
control strategies for PMSG in wind energy
conversion system. Applied Energy; 86:1565–
73.
[28] Mahdi AJ, Tang WH, Jiang L. (2010). A
Comparative study on variable-speed operations
of a wind generation system using vector
control. In: In: The 10th international conference
on renewable energies and power quality.
Granada, Spain: University of Granada; p. 1–6.
[29] Mirecki A, Roboam X, Richardeau F. (2004).
Comparative study of maximum power strategy
in wind turbines. In: IEEE International
Symposium on Industrial Electronics. p. 993–8,
vol. 2.
[30] Musunuri S, Ginn Iii HL. (2011).
Comprehensive review of wind energy
maximum power extraction algorithms.
[31] Freris LL. (1990). Wind energy conversion
system. London, UK: Prentice Hall; 1990.
[32] Abdelkafi A, Krichen L. (2011). New strategy of
pitch angle control for energy management of a
wind farm. Energy; 36:1470–9.
[33] Nema P, Nemab RK, Rangnekar S. (2009). A
current and future state of art development of
hybrid energy system using wind and PV-solar:
a review. Renewable and Sustainable Energy
Reviews; 13:2096–103.
[34] Grimble MJ, Johnson MA. (2008). Optimal
Control of Wind Energy Systems.
[35] Patel MR. (1999). Wind and solar power
systems. CRC Press.
[36] Wang Q. (2003). Maximum wind energy
extraction strategies using power electronic
converters [PhD dissertation]. Canada:
University of New Brunswick.
[37] Barakati SM. (2008). Modeling and controller
design of a wind energy conversion system
including matrix converter [PhD. dissertation].
Waterloo, Ontario, Canada: University of
Waterloo.
[38] Zhang J, Cheng M, Chen Z, Fu X. (2008). Pitch
angle control for variable speed wind turbines;
p. 2691–6.
[39] Thongam JS, Ouhrouche M. (2011). MPPT
control methods in wind energy conversion
systems. In: Carriveau R, editor. Fundamental
and advanced topics in wind power. In Tech.
[40] Nakamura T, Morimoto S, Sanada M, Takeda Y.
(2002). Optimum control of IPMSG for wind
generation system. In: Proceedings of the Power
Conversion Conference, 2002 PCC Osaka. p.
1435–40, vol. 3.
[41] Morimoto S, Nakayama H, Sanada M, Takeda
Y. (2005). Sensorless output maximization
control for variable-speed wind generation
system using IPMSG. IEEE Transactions on
Industry Applications; 41:60–7.
[42] Pucci M, Cirrincione M. (2011). Neural MPPT
control of wind generators with induction
machines without speed sensors. IEEE
Transactions on Industrial Electronics; 58:37–
47.
[43] Shirazi M, Viki AH, Babayi O. (2009). A
comparative study of maximum power
extraction strategies in PMSG wind turbine
system. In: 2009 IEEE Electrical Power &
Energy Conference (EPEC). p. 1–6.
[44] Masoud B. (2008). Modeling and controller
design of a wind energy conversion system
including a matrix converter [Thesis PhD].
Ontario, Canada: Electrical and Computer
Engineering, University of Waterloo.
[45] Tan K, Islam S. (2004). Optimum control
strategies in energy conversion of PMSG wind

turbine system without mechanical sensors.
IEEE Transactions on Energy Conversion;
19:392–9.
[46] Barakati SM, Kazerani M, Aplevich JD. (2009).
Maximum power tracking control for a wind
turbine system including a matrix converter.
IEEE Transactionson Energy Conversion;
24:705–13.
[47] Quincy W, Liuchen C. (2004). An intelligent
maximum power extraction algorithm for
inverter-based variable speed wind turbine
systems. IEEE Transactions on Power
Electronics; 19:1242–9.
[48] Patsios C, Chaniotis A, Rotas M, Kladas AG.
(2009). A comparison of maximum power-point
tracking control techniques for low-power
variable-speed wind generators. 8th
International Symposium on Advanced
Electromechanical Motion Systems & Electric
Drives Joint Symposium. ELECTROMOTION:
1–6.
[49] Hua ACC, Cheng BCH. (2010). Design and
implementation of power converters for wind
energy conversion system. In: 2010
International Power Electronics Conference
(IPEC). p. 323–8.
[50] Koutroulis E, Kalaitzakis K. (2006). Design of a
maximum power tracking system for windenergy-
conversion applications. IEEE
Transactions on Industrial Electronics; 53:486–
94.
[51] Soetedjo A, Lomi A, Mulayanto WP. (2011).
Modeling of wind energy system with MPPT
control. In: 2011 International Conference on
Electrical Engineering and Informatics (ICEEI).
p. 1–6.
[52] Tiang TL, Ishak D. (2012). Novel MPPT control
in permanent magnet synchronous generator
system for battery energy storage. Applied
Mechanics and Materials; 110:5179–83.
[53] Neammanee B, Sirisumranukul S, Chatratana S.
(2006). Control performance analysis of feed
forward and maximum peak power tracking for
small-and medium-sized fixed pitch wind
turbines. In: 9th International Conference on
Control, Automation, Robotics and Vision,
ICARCV ‘06. 2006. p. 1–7.
[54] Kesraoui M, Korichi N, Belkadi A. (2011).
Maximum power point tracker of wind energy
conversion system. Renewable Energy;
36:2655–62.
[55] Ching-Tsai P, Yu-Ling J. (2010). A novel
sensorless MPPT controller for a high-efficiency
micro-scale wind power generation system.
IEEE Transactions on Energy Conversion;
25:207–16.
[56] Hong M-K, Lee H-H. (2010). Adaptive
maximum power point tracking algorithm for
variable speed wind power systems. In:
Proceedings of the 2010 international
conference on life system modeling and
intelligent computing, and2010 international
conference on intelligent computing for
sustainable energy and environment. Part I.
Wuxi, China: Springer-Verlag; p. 380–8.
[57] Raza K, Goto H, Hai-Jiao G, Ichinokura O.
(2008). A novel algorithm for fast and efficient
maximum power point tracking of wind energy
conversion systems. In: 18th International
Conference on Electrical Machines, ICEM.
2008. p. 1–6.
[58] Liu X, Lopes LAC. (2004). An improved
perturbation and observation maximum power
point tracking algorithm for PV arrays. In: 2004
IEEE 35th Annual Power Electronics Specialists
Conference, PESC. Vol. 3.
[59] Syed Muhammad Raza K, Goto H, Hai-Jiao G,
Ichinokura O. (2007). Maximum power point
tracking control and voltage regulation of a DC
grid-tied wind energy conversion system based
on a novel permanent magnet reluctance
generator. In: International Conference on

Electrical Machines and Systems, ICEMS. 2007.
p. 1533–8.
[60] Patsios C, Chaniotis A, Kladas A. (2008). A
hybrid maximum power point tracking system
for grid-connected variable speed windgenerators.
In: IEEE Power Electronics
Specialists Conference, 2008. PESC, p. 1749–
54.
[61] Simoes MG, Bose BK, Spiegel RJ. (1997).
Design and performance evaluation of a fuzzylogic-
based variable-speed wind generation
system. IEEE Transactions on Industry
Applications 1997; 33:956–65.
[62] Trinh Q-N, Lee H-H. (2010). Fuzzy logic
controller for maximum power tracking in
PMSG-based wind power systems. In: Huang
D-S, Zhang X, Reyes García C, Zhang L,
editors. Advanced intelligent computing theories
and applications with aspects of artificial
intelligence. Berlin/Heidelberg: Springer; p.
543–53.
[63] Lee C-Y, Shen Y-X, Cheng J-C, Li Y-Y, Chang
C-W. (2009). Neural networks and particle
swarm optimization based MPPT for small wind
power generator, vol. 60.World Academy of
Science, Engineering and Technology; p. 17–23.
[64] Lin W-M, Hong C-M. (2010). Intelligent
approach to maximum power point tracking
control strategy for variable-speed wind turbine
generation system. Energy; 35:2440–7