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Dynamic Embedded Optimization Applied to Power System Stabilizers
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  • Dynamic Embedded Optimization Applied to Power System Stabilizers
  • Dynamic Embedded Optimization Applied to Power System Stabilizers
저자명
Sung. Byung Chul,Baek. Seung-Mook,Park. Jung-Wook
간행물명
Journal of electrical engineering & technology
권/호정보
2014년|9권 2호|pp.390-398 (9 pages)
발행정보
대한전기학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

The systematic optimal tuning of power system stabilizers (PSSs) using the dynamic embedded optimization (DEO) technique is described in this paper. A hybrid system model which has the differential-algebraic-impulsive-switched (DAIS) structure is used as a tool for the DEO of PSSs. Two numerical optimization methods, which are the steepest descent and Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithms, are investigated to implement the DEO using the hybrid system model. As well as the gain and time constant of phase lead compensator, the output limits of PSSs with non-smooth nonlinearities are considered as the parameters to be optimized by the DEO. The simulation results show the effectiveness and robustness of the PSSs tuned by the proposed DEO technique on the IEEE 39 bus New England system to mitigate system damping.