1992
DOI: 10.1109/60.182642
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Co-ordinated control of synchronous generator excitation and static VAR compensator

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Cited by 58 publications
(19 citation statements)
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“…The controllers considered for coordination are voltage regulators, PSS, speed governors, main and auxiliary controllers of HVDC converters, and main and auxiliary controllers of SVC. A new methodology has been proposed for designing a coordinated controller for a synchronous generator excitation and SVC in power system is to extend the operational margin of stability, whilst satisfying control requirements by introducing an integrated multi-variable controller to control both the generator exciter and the firing angle of the thyristor controlled reactor of TCR-FC compensators [128]. In [181], an eigenvalue analysis technique is used for coordinated control of PSS and FACTS controllers to enhance damping of power system oscillations in multi-machine power system.…”
Section: Sensitivity Based Methodsmentioning
confidence: 99%
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“…The controllers considered for coordination are voltage regulators, PSS, speed governors, main and auxiliary controllers of HVDC converters, and main and auxiliary controllers of SVC. A new methodology has been proposed for designing a coordinated controller for a synchronous generator excitation and SVC in power system is to extend the operational margin of stability, whilst satisfying control requirements by introducing an integrated multi-variable controller to control both the generator exciter and the firing angle of the thyristor controlled reactor of TCR-FC compensators [128]. In [181], an eigenvalue analysis technique is used for coordinated control of PSS and FACTS controllers to enhance damping of power system oscillations in multi-machine power system.…”
Section: Sensitivity Based Methodsmentioning
confidence: 99%
“…There are various other techniques such as a pole placement techniques [106], frequency response techniques [107], root locus techniques [108], projective control methods [109]- [111], [200], non-linear feed control methods [112]- [113] for coordination of FACTS controllers and PSS. The various optimization based methods have been proposed in literatures for coordination includes a dynamic optimization programming algorithms [128], nonlinear optimization programming techniques [129]- [133], [184], linear optimization programming techniques [134]- [136], [183], [203]- [204], [206]- [207], [210], immune-based optimization algorithms [137]. The various artificial intelligence (AI) based methods have been proposed in literatures that includes a genetic algorithms (GA) [144]- [147], [185], [186], [209], tabu search algorithms [148], [187], simulated annealing (SA) based approach [149], particle swarm optimization (PSO) techniques [150], [190], [205], artificial neural networks (ANN) based algorithms [ [151], [202],fuzzy logic based approach [152]- [155], [188]- [189], [212], adaptive neuro-fuzzy inference system (ANIS) techniques [156]<...>…”
Section: Introductionmentioning
confidence: 99%
“…However, with growing transmission line loading, the power system stabilizer (PSS) may not provide enough damping for the inter-area power oscillations in a complex power system. In addition, it may result in large variations in the voltage profile, leading power factor operation and even losing system stability under large disturbances [5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, a third order model of DFIG with respect to a rectangular dq coordinates is used for a good compromise between simplicity and accuracy [13].…”
Section: T-s Fuzz Observermentioning
confidence: 99%