2001
DOI: 10.1016/s0378-7796(01)00139-0
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A nonlinear control for coordinating TCSC and generator excitation to enhance the transient stability of long transmission systems

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Cited by 31 publications
(13 citation statements)
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“…Therefore, in many cases, it cannot achieve robustness to system model and parameter variations. Lei, Li, and Povh (2001) presented a coordinated control scheme based on optimal-variable-aim strategies (OVAS) techniques for the TCSC and excitation system for a transmission power system. However, for nonlinear systems, the numerical computation burden of online optimization is huge and the demand of real-time control may not be satisfied.…”
Section: Article In Pressmentioning
confidence: 99%
“…Therefore, in many cases, it cannot achieve robustness to system model and parameter variations. Lei, Li, and Povh (2001) presented a coordinated control scheme based on optimal-variable-aim strategies (OVAS) techniques for the TCSC and excitation system for a transmission power system. However, for nonlinear systems, the numerical computation burden of online optimization is huge and the demand of real-time control may not be satisfied.…”
Section: Article In Pressmentioning
confidence: 99%
“…Sin embargo, uno de los grandes problemas en el diseño de PSSs es precisamente la sintonización efectiva y robusta de sus parámetros con el fin de maximizar el efecto positivo de éstos para contribuir a mejorar la estabilidad global del sistema bajo diferentes condiciones de operación y perturbaciones. Aún cuando en la literatura existen una diversidad de métodos no lineales para el diseño de PSSs [Zhao P, et al (2014)], [Lei X, et al (2001)], la complejidad de sus requerimientos e implementación generalmente restringen su aplicación práctica. Por otra parte, en la literatura actual también se proponen una gran cantidad de algoritmos de inteligencia computacional para tratar de resolver el problema de sintonización de PSSs, tales como algoritmos genéticos (GA) [Abdel-Magid YL, et al (2003)], [Dubey M y Gupta P (2008)], evolución diferencial (DE) [Yang GY, et al (2008)], [Abido MA (2010)], algoritmos basados en colonias de hormigas (ACO) [Mazucato SC, et al (2013)], [Sheebaa R, et al (2014)] y abejas (ABC) [Eslami M y Shareef H (2012)], [Sheeba R, et al (2013)], optimización de enjambres de partículas (PSO) [Abido MA (2002)], [Panda S y Padhy S (2008)], algoritmos bioinpirados en las bacterias (BFA) [Abd-Elazim SM y Ali ES (2013)], entre otros [Engelbrecht AP (2007)], [Lee KY y El-Sharkawi MA (2008)], [Eslami M, et al (2011)].…”
Section: Introductionunclassified
“…Jiang and Lei [10] presented a nonlinear control scheme for the TCSC to damp power oscillations to improve transient stability of power system. The paper developed by Lei et al [11] presented a coordinated control scheme for excitation systems and TCSC controls for improving the stability of a power system. The control scheme was developed with nonlinear optimal variable aim strategies.…”
Section: Introductionmentioning
confidence: 99%