2004
DOI: 10.1016/s0142-0615(03)00067-x
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Design of multiple FACTS controllers for damping inter-area oscillations: a decentralised control approach

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Cited by 37 publications
(18 citation statements)
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“…Gasca and Chow et al has suggested a modal analysis based technique for the design of damping controllers in multi-machine power system or inter-area oscillations [103]. In [104], a residue based method has been presented for coordinated control of multiple FACTS controllers as well as to minimize the potential for adverse interaction between control loops. Ammari et al [105] has addressed sensitivity and residues based techniques for robust solution for the interaction phenomena between dynamic loads and FACTS controllers for enhance damping of power system oscillations.…”
Section: Sensitivity Based Methodsmentioning
confidence: 99%
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“…Gasca and Chow et al has suggested a modal analysis based technique for the design of damping controllers in multi-machine power system or inter-area oscillations [103]. In [104], a residue based method has been presented for coordinated control of multiple FACTS controllers as well as to minimize the potential for adverse interaction between control loops. Ammari et al [105] has addressed sensitivity and residues based techniques for robust solution for the interaction phenomena between dynamic loads and FACTS controllers for enhance damping of power system oscillations.…”
Section: Sensitivity Based Methodsmentioning
confidence: 99%
“…Three broad categories such as a sensitivity based methods, optimization based method and artificial intelligence based techniques for coordination of FACTS controllers from different operating conditions in multi-machine power systems is classified in [5]. The various sensitivity based methods have been proposed in literatures includes eigenvalue analysis based methods [11], [88]- [96], [181]- [182], modal analysis techniques [97]- [103], residue-based methods [104], [105]. 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.…”
Section: Introductionmentioning
confidence: 99%
“…The conceptual representation of a decentralised control system for MIMO systems is shown in It follows that each control centre can be designed for individual HVDC converter station without any loss of performance or interacting with other control loops [12]. It is important to structurally decompose the decentralised control system into individual SISO loops to reduce the problems of interaction [5].The system consists of a set of SISO loops as shown in Fig.6. The use of decentralised structure can result in performance degradation compared to a full feedback system.…”
Section: Controller Designmentioning
confidence: 99%
“…A number of approaches to decentralised control have been proposed [2][3][4][5]. However, the focus of most of them are on decentralised design of low-order PSS in a SISO or MIMO framework; or otherwise, on the robust control design techniques which evidently result in high order controllers and thus proving a practical limitation amongst the network operators.…”
Section: Introductionmentioning
confidence: 99%
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