Static Var Compensators & Power System Stabilizers with Adaptive Neuro Fuzzy Controllers in Wind Farms
(*) Corresponding author
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
In the operation of wind farms in power system network, the voltage and power flow control is of primary concern in the efficient operation of the system. Various FACTS controllers are being used nowadays, to improve the system profile during the operation of wind farms. Power system stabilizers are used to damp out the rotor oscillations in the wind farm generator, thus enhancing the stability of the system. This paper investigates initially the effect of Static Var Compensator with conventional PI controllers and conventional Power System Stabilizer on the operation of wind farms. The Static Var Compensator are modified in the proposed work to include Fuzzy based controllers and further with Adaptive Neuro Fuzzy Controllers and their performances are compared in this paper. The conventional Power System Stabilizer in the DFIG based wind farm is also replaced with Fuzzy Stabilizers and Neuro Fuzzy Stabilizers and the effects of these intelligent controllers studied in the system performance. The results confirm that a wind farm in an interconnected power system network exhibits better performance with Adaptive Neuro Fuzzy Controllers for Static Var Compensator & Power System Stabilizers. A greater improvement in voltage profile and power control is obtained using the Hybrid Control technique. MATLAB / Simulink is used to demonstrate the application of Fuzzy and Adaptive Neuro Fuzzy Controllers in Static Var Compensator and Power System Stabilizers.
Copyright © 2013 Praise Worthy Prize - All rights reserved.
C. Martinez, G. Joos, B.T.Ooi, Power system stabilizers in variable speed wind farms, 2009 IEEE Power & Energy Society General Meeting,July2009
F.M. Hughes, Olimpo Anaya-Lara, Nicholas Jenkins, Goran Strbac, A Power System Stabilizer for DFIG-Based Wind Generation, IEEE Transactions on Power Systems,Vol.21, No.2, pp 763-772, May 2006
Mehdi Narimani, Rajiv K Varma, Application of Static Var Compensator (SVC) with fuzzy controller for grid integration of wind farm, CCECE 2010, May 2010
Manju P, Subbiah V, Intelligent Control of Unified Power Flow Controller for Stability Enhancement of Transmission Systems, 2nd IEEE International Conference on Advanced Computer Control (ICACC 2010), Shenyang, China, 27 -29, March 2010.
N. G. Hingorani and L. Gyugyi, Understanding FACTS, Concepts, and Technology of Flexible AC Transmission Systems Piscataway, NJ:IEEE Press, 2000.
M. Dobrescu and I. Kamwa, A new fuzzy logic power system stabilizer performances, Power Systems Conference and Exposition, 2004. IEEE PES, 2004, pp. 1056-1061 Vol.2.
T. Takagi, M. Sugeno, Fuzzy Identification of Systems and Its Applications to Modeling and Control. IEEE Transaction on Systems, Man and Sybern, Vol. 1985, pp. 116- 132.
Jang R. J.-S., Sun C.-T., Mizutani E., (1997), Neuro-Fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence Prentice Hall, Upper Saddle River, NJ 07458.
Carpenter G.A., Grossberg S., Rosen B.D., Fuzzy ART: Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonance System, Neural Networks, Vol. 4, pp 759-771, 1991.
C.J. Lin, C.T. Lin, An ART-Based Fuzzy Adaptive Learning Control Network, IEEE Transactions on Fuzzy Systems, vol. 5, No. 4, Nov. 1997.
A. Garrett, Fuzzy ART and Fuzzy ARTMAP Neural Networks, 22-12-03,http://www.mathworks.com/matlabcentral/fileexchange /4306-fuzzy-art-and-fuzzy-artmapneural-networks
Timothy J. Ross, Fuzzy Logic with engineering application McGraw- Hill, Inc. 1995.
L. A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, pp. 338-353, 1965.
Parhizgar, Naser, Comparison between PST-UPFC and IPFC on Power Flow Control and Profile Voltage in Power System, Australian Journal of Basic & Applied Sciences, 2011
Tamer Abdelazim, Power System Stabilizer Based on Model Reference Adaptive Fuzzy Control, Electric Power Components and Systems, 2005
Preece, R., A. M. Almutairi, O. Marjanovic, and J. V. Milanovic. Damping of electromechanical oscillations by VSC-HVDC active power modulation with supplementary wams based modal LQG controller, 2011 IEEE Power and Energy Society General Meeting, 2011.
Eslami, M., Shareef, H., Mohamed, A., Application of PSS and FACTS devices for intensification of power system stability, (2010) International Review of Electrical Engineering (IREE), 5 (2), pp. 552-570.
Pure Power - Wind Energy Scenarios up To 2030 http://www.ewea.org, Mar. 2008.
20% Wind Energy by 2030: Wind, Backup Power, and Emissions 2008.
Palo Alto, Robust Analysis and Design as Control in Power Systems EPRI,CA: 1998. TR-111922
P. Kundur, Power system Stability and Control New York: McGraw Hill, 1994.
S. Ruan, G. Li, B. Ooi, and Y. Sun, Power system damping from
energy function analysis implemented by voltage-source-converter stations, Electric Power Systems Research, Vol. 78, Aug. 2008, pp.1353-1360.
M. Najafi and A. Kazemi, Coordination of PSS and FACTS
Damping Controllers in Large Power Systems for Dynamic Stability Improvement,Power System Technology, 2006. PowerCon 2006, pp. 1-6.
C. Abbey and G. Joos, Supercapacitor Energy Storage for Wind Energy Applications, IEEE Transactions on Industry Applications, Vol. 43, 2007, pp. 769-776.
N. Mithulananthan, C. Canizares, J. Reeve, and G. Rogers,
Comparison of PSS, SVC, and STATCOM controllers for damping power system oscillations, IEEE Transactions on Power Systems,Vol. 18, 2003, pp. 786-792.
Gholami, M., Sanjari, M.J., Gharehpetian, G.B., PMU-based voltage stability assessment in microgrids by ANNs considering single contingencies, (2012) International Review of Electrical Engineering (IREE), 7 (6), pp. 6317-6323.
Damiano, A., Gatto, G., Marongiu, I., Meo, S., Perfetto, A., Serpi, A., A direct-drive wind turbine control for a wind power plant with an internal DC distribution system, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 4845-4856.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2023 Praise Worthy Prize