Access the full text.
Sign up today, get DeepDyve free for 14 days.
L. Holdsworth, X. Wu, J. Ekanayake, N. Jenkins (2003)
Comparison of fixed speed and doubly-fed induction wind turbines during power system disturbances, 150
J. Slootweg, H. Polinder (2002)
AGGREGATED MODELLING OF WIND PARKS WITH VARIABLE SPEED WIND TURBINES IN POWER SYSTEM DYNAMICS SIMULATIONS
(1994)
Power System Analysis and Design: with computer applications, Second edition, Thomson Learning Vocational
V. Akhmatov (2002)
Variable-Speed Wind Turbines with Doubly-Fed Induction GeneratorsWind Engineering, 26
S. Műller, M. Deicke, R. Doncker (2002)
Doubly fed induction generator systems for wind turbinesIEEE Industry Applications Magazine, 8
T. Ackermann (2005)
Wind Power in Power SystemsWind Engineering
(2003)
Aggregated wind park model for analyzing power system dynamics , 4 th International workshop on large - scale integration of wind power and transmission network for off - shore windfarms
V. Akhmatov (2003)
Variable-Speed Wind Turbines with Doubly-Fed Induction Generators Part IV: Uninterrupted Operation Features at Grid Faults with Converter Control CoordinationWind Engineering, 27
(1999)
An aggregated wind park Model, Proceedings of the 13th Power System Computation Conference (PSCC)
Xueguang Wu, A. Arulampalam, C. Zhan, N. Jenkins (2003)
Application of a Static Reactive Power Compensator (STATCOM) and a Dynamic Braking Resistor (DBR) for the Stability Enhancement of a Large Wind FarmWind Engineering, 27
V. Akhmatov, H. Knudsen (2002)
An aggregate model of a grid-connected, large-scale, offshore wind farm for power stability investigations—importance of windmill mechanical systemInternational Journal of Electrical Power & Energy Systems, 24
R. Peña, J. Clare, G. Asher (1996)
Doubly fed induction generator using back-to-back PWM converters and its application to variable-speed wind-energy generation, 143
D. Franklin, A. Morelato (1994)
Improving dynamic aggregation of induction motor modelsIEEE Transactions on Power Systems, 9
J. Slootweg, W. Kling (2002)
Modeling of large wind farms in power system simulationsIEEE Power Engineering Society Summer Meeting,, 1
J. Slootweg, Wil Kling (2003)
Aggregated modelling of wind parks in power system dynamics simulations2003 IEEE Bologna Power Tech Conference Proceedings,, 3
V. Akhmatov (2004)
An Aggregated Model of a Large Wind Farm with Variable-Speed Wind Turbines Equipped with Doubly-Fed Induction GeneratorsWind Engineering, 28
The interaction between a power system and a wind-farm can be studied using either a simplified ‘aggregated’ or a complex ‘detailed’ model. The detailed-model results compare well with the actual, therefore, provided that both models have similar dynamic characteristics, the aggregated model provides a rapid and cost-effective way of representing large wind-farms in power system dynamic studies. A brief overview of wind-farm aggregation methods is given and their application in power systems analysis is discussed. Aggregation techniques are then applied to a wind-farm with thirty wind turbines. It is shown that the aggregation of the swing equation and equivalent representation of network and generator impedances can be used for aggregated representation of fixed speed wind turbines. A similar approach applied to the d-and q-axis controller of a doubly-fed induction generator (DFIG) failed initially to provide satisfactory dynamic characteristics with the aggregated model. Consequently, a simple method was used to scale the rotor currents of the controller, so the dynamic characteristics with DFIGs became acceptable.
Wind Engineering – SAGE
Published: May 1, 2006
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.