An artificial neural network based adaptive power system stabilizer

Zhang, Y.; Chen, G.P.; Malik, O.P.; Hope, G.S.

doi:10.1109/60.207408

Cited by 157 publications

(48 citation statements)

References 13 publications

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“…The stabilization of the synchronous generator has represented an attractive problem for testing different concepts of the modern control theory. The majority of the contributions have presented the application of adaptive control, robust control (Chow et al, 1990), variable structure control (Subbarao & Iyer, 1993), fuzzy control (Hassan & Malik, 1993), artificial neural network (Zhang et al, 1993), feedback linearization (Mielcszarski & Zajaczkowski, 1994), and internal model control (Law et al, 1994). The presented research has been focused to the study of adaptive stabilization methods.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control for Power System Stability Improvement

Ritonja¹

2010

Advanced Knowledge Application in Practice

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Section: Introductionmentioning

confidence: 99%

Adaptive Control for Power System Stability Improvement

Ritonja¹

2010

Advanced Knowledge Application in Practice

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“…A level of fault tolerance was obtained in (Chen et al [2006], Chen and Guo [2005]) where a robust wide-area controller used mixed H 2 /H ∞ output-feedback control. Adaptive stabilisers using wide-area information were designed in [Zhang et al, 1993] and [Ni et al, 2000]. The test example in [Ni et al, 2000] showing fault tolerance after a PSS failure will also be used in this paper.…”

Section: Introductionmentioning

confidence: 99%

Stabiliser Fault Emergency Control using Reconfiguration to Preserve Power System Stability

Pedersen

Richter

Tabatabaei-Pour

et al. 2014

IFAC Proceedings Volumes

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Stabiliser faults in multi-machine power systems are examined in this paper where fault-masking and system reconfiguration of the nonlinear system is obtained using a virtual actuator approach. Phasor Measurement Units, which can be integrated in wide-area transmission grids to improve the performance of power system stabilisers, are utilised when reconfiguring remaining stabilisers after one has been inoperable by a local failure. A stabilitypreserving reconfiguration is designed using absolute stability results for Lure type systems: The calculation of the virtual actuator that relies on a solution of a linear matrix inequality (LMI) is detailed in the paper. Simulation results of a benchmark transmission system show the ability of the fault-tolerant reconfiguration strategy to maintain wide-area stability of a power system despite failure in a stabiliser.

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“…Some of these researches introduced techniques, to gain the robust conventional design through optimization, adaptive design with the help of expert systems (Neural Network, Fuzzy and Hybrid system), Linear Matrix Inequalities (LMI), Pole Placement and many others [8].…”

Section: Introductionmentioning

confidence: 99%