Concepts of FACTS controllers

Varma, Rajiv K.

doi:10.1109/psce.2011.5772582

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…However, the structural expansion of existing power systems is restricted due to environmental and economic factors, making the systems operate close to their maximum limits; hence, the systems work in highly stressed conditions. In the case of a fault event such as loss of load or generating unit, 3-phase to ground fault, etc., transient stability can become a transmission limiting factor due to the increased loading of long transmission lines [1].…”

Section: Introductionmentioning

confidence: 99%

Hybrid adaptive neuro-fuzzy B-spline--based SSSC damping control paradigm using online system identification

Khan¹,

Badar²

2015

Turk J Elec Eng & Comp Sci

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B-spline membership functions have produced promising results in the field of signal processing and control due to their local control property. This work explores the potential of B-spline-based adaptive neuro-fuzzy wavelet control to damp low frequency power system oscillations using a static synchronous series compensator (SSSC). A comparison of direct and indirect adaptive control based on hybrid adaptive B-spline wavelet control (ABSWC) is presented by introducing the online identification block. ABSWC with identification (ABSWCI) provides the sensitivity information of the plant needed to control the system. The parameters of the control and identification block are updated online using a gradient descent-based backpropagation algorithm. The stability and convergence of the proposed control system is discussed based on Lyapunov stability criteria. The robustness of the proposed control algorithm has been evaluated for local and interarea modes of oscillations using different faults. The nonlinear time-domain simulations have been analyzed on the basis of different performance indices and time-frequency representation, showing that ABSWC effectively damps low-frequency oscillations and incorporation of online identification optimizes the control system performance in terms of control effort, which reduces the switching losses of the converter.

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Section: Introductionmentioning

confidence: 99%

Hybrid adaptive neuro-fuzzy B-spline--based SSSC damping control paradigm using online system identification

Khan¹,

Badar²

2015

Turk J Elec Eng & Comp Sci

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“…FACTS refers to a combination of power electronics devices employed to control one or more parameters (e.g. reactive power, voltage) of the power system [106], [113], [123]- [125]. FACTS are commonly employed to facilitate: increased power transmission capacity, improvement of power system transient stability limit, enhanced voltage stability, limiting short circuit currents and smoothen integration of RESs [124], [125].…”

Section: Factsmentioning

confidence: 99%

“…series compensation), or in shunt with the power transmission line (i.e. shunt compensation) or a combination of both series and shunt compensation [113], [123], [127]. Fig.…”

Section: Factsmentioning

confidence: 99%

Design and Control of Virtual Synchronous Machine Based Energy Systems

Baruwa¹

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Conventionally, the operation and stability of power systems have been governed by the dynamics of large synchronous generators (SGs) which provide the inertial support required to maintain the resilience and stability of the power system. How-ever, the commitment of the UK to drive a zero-carbon economy is accelerating the integration of renewable energy sources (RESs) into the power system. Since the dynamics and operation of RESs diﬀers from SGs, the large-scale integration of RESs will signiﬁcantly impact the control and stability of the power system.This thesis focuses on the design of grid-friendly control algorithms termed virtual synchronous machines (VSMs), which mimic the desirable characteristics of SGs. Although several VSM topologies have been proposed in literature, most of them require further modiﬁcations before they can be integrated into the grid. Hence, a novel VSM algorithm for permanent magnet synchronous generator based wind turbines has been proposed in this thesis.The proposed VSM performs seamlessly in all operating modes and enables maxi-mum power point tracking in grid-connected operation (assuming strong grid), load following power generation in islanded mode and fault ride-through during faults. To ensure optimal performance of the VSM in all operating modes, a comprehensive stability analysis of the VSM was performed in the event of small and large per-turbations. The result of the analysis was used to establish design guidelines and operational limits of the VSM.This thesis further evaluates the impact of VSMs on the power systems low-frequency oscillations (LFOs). A detailed two-machine test-bed was developed to analyze the LFOs which exists when VSMs replace SGs. The characteristics of the LFO modes and the dominant states was comprehensively analyzed. The LFO modes which exists in an all-VSM grid was also analyzed. Further, the role of the power system stabilizers in an all-VSM grid was comprehensively evaluated. An IEEE benchmark two-area four-machine system was employed to validate the results of the small-signal analysis.The analysis and time-domain simulations in this thesis were performed in the MAT-LAB/SIMULINK environment.

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Stability Improvement Using SSSC in Synchronous Generation System with PMSG-Based Offshore Wind Farm

Mageshvaran

2019

Lecture Notes in Electrical Engineering

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Concepts of FACTS controllers

Cited by 10 publications

References 21 publications

Hybrid adaptive neuro-fuzzy B-spline--based SSSC damping control paradigm using online system identification

Hybrid adaptive neuro-fuzzy B-spline--based SSSC damping control paradigm using online system identification

Design and Control of Virtual Synchronous Machine Based Energy Systems

Stability Improvement Using SSSC in Synchronous Generation System with PMSG-Based Offshore Wind Farm

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