DocumentCode
35965
Title
Optimal adaptive sub-synchronous resonance damping controller for a series-compensated doubly-fed induction generator-based wind farm
Author
Mohammadpour, Hossein Ali ; Santi, Enrico
Author_Institution
Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
Volume
9
Issue
6
fYear
2015
fDate
8 2015
Firstpage
669
Lastpage
681
Abstract
Using both modal analysis and time domain simulations, it is shown that sub-synchronous resonance (SSR) phenomena in a series-compensated DFIG wind farms may cause system instability. In order to damp the SSR, both the rotor-side converter (RSC) and grid-side converter (GSC) controllers of the doubly-fed induction generator (DFIG) are utilised. The objectives are to design an SSR damping controller (SSRDC) with an optimum input control signal (ICS), and to identify the optimum point within the RSC and GSC controllers where to introduce the SSRDC. The optimum ICS is identified using residue-based analysis and root-locus method. The criterion for choice of optimal ICS is that it should make the SSR mode stable without decreasing or destabilising the other system modes. Moreover, since the dynamics of the DFIG-based series compensated wind farm change with varying operating point conditions, the operation of the SSRDC is optimised using the adaptive gain-scheduling method.
Keywords
adaptive control; asynchronous generators; control system synthesis; machine control; modal analysis; optimal control; power convertors; power generation control; power system stability; subsynchronous resonance; time-domain analysis; wind power plants; GSC controllers; RSC; SSR damping controller design; SSRDC; adaptive gain-scheduling method; grid-side converter; modal analysis; optimal adaptive sub-synchronous resonance damping controller; optimum ICS; optimum input control signal; residue-based analysis; root-locus method; rotor-side converter; series-compensated DFIG wind farms; series-compensated doubly-fed induction generator-based wind farm; system instability; system modes; time domain simulations;
fLanguage
English
Journal_Title
Renewable Power Generation, IET
Publisher
iet
ISSN
1752-1416
Type
jour
DOI
10.1049/iet-rpg.2014.0155
Filename
7181833
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