Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1306-193
Abstract
This paper develops a novel self-tuned fuzzy damping control scheme for an interline power flow controller (IPFC) to suppress the interarea mode of oscillations in a multimachine power system. The nonlinear adaptive damping controller is based on coordinated operation of two fuzzy inference systems. The first one produces the required $q$-axis voltage reference of the quasi multipulse series converter in response to generator angle oscillations, while the second one is used to tune the output of the first one online for further reducing the error signal using a given set of fuzzy rules. The simplex method is employed to search for optimal gains of the damping controller by minimizing the objective function in which speed deviations between generators are formulated. The feasibility of the proposed technique is validated using time-domain simulation cases in the PSCAD simulation program. It is also shown that the proposed damping scheme for IPFC works better than the static synchronous series compensator, which utilizes the same damping scheme in reducing the interarea mode of oscillations.
Keywords
Interline power flow controller, static synchronous series compensator, quasi multipulse converter, self-tuned fuzzy damping control, simplex method, transient stability, interarea mode of oscillation
First Page
1449
Last Page
1464
Recommended Citation
VURAL, AHMET METE and BAYINDIR, KAMİL ÇAĞATAY
(2015)
"Optimal IPFC damping controller design based on simplex method and self-tuned fuzzy damping scheme in a two-area multimachine power system,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 23:
No.
5, Article 19.
https://doi.org/10.3906/elk-1306-193
Available at:
https://journals.tubitak.gov.tr/elektrik/vol23/iss5/19
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Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons