Estimation of geometric properties of three-component signals for system monitoring

Granjon, Pierre; Phua, Gailene Shih Lyn

doi:10.1016/j.ymssp.2017.04.002

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…The smart grid should address the limitations of the existing one by using PQ monitoring, advanced measurement devices, and self-healing, pervasive system anomalies [1,34,[47][48][49][50]. Moreover, SG is expected to enhance reliability, efficiency and security through communication technologies and advanced control technologies [12,[51][52][53][54][55]. In this scope, PQ monitoring has become the backbone of control strategies that are used in SG applications.…”

Section: Monitoringmentioning

confidence: 99%

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

2023

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Several factors affect existing electric power systems and negatively impact power quality (PQ): the high penetration of renewable and distributed sources that are based on power converters with or without energy storage, non-linear and unbalanced loads, and the deployment of electric vehicles. In addition, the power grid needs more improvement in the performances of real-time PQ monitoring, fault diagnosis, information technology, and advanced control and communication techniques. To overcome these challenges, it is imperative to re-evaluate power quality and requirements to build a smart, self-healing power grid. This will enable early detection of power system disturbances, maximize productivity, and minimize power system downtime. This paper provides an overview of the state-of-the-art signal processing- (SP) and pattern recognition-based power quality disturbances (PQDs) characterization techniques for monitoring purposes.

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Section: Monitoringmentioning

confidence: 99%

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

2023

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“…In recent years, several transformations have emerged to address this issue. Of special interest are those based on Singular Value Decomposition proposed by V. Choqueuse in [9] or those based on the Frenet-Serret frame proposed by P. Granjon [10] and more recently F. Milano [11]. Others authors use tensor algebra [12], while others apply the geometric or Clifford algebra to analyze three-phase four wire systems [13], [14] or multiphase power systems in time-domain [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Reduced Reference Frame Transformation Assessment in Unbalanced Three-Phase Four-Wire Systems

et al. 2023

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Three-phase four-wire systems require a reference frame similar to that used in 3-phase 3-wire system configurations that allow them to be easily analysed, modelled and controlled. A new reference frame called Reduced Reference Frame (RRF) was presented by the authors in a previous work to satisfy these objectives. This is based on the locus of the voltage space vector which is used to perform a transformation applied to 3-phase 4-wire systems. This paper uses the proposed RRF to demonstrate the benefits of this transformation under different conditions of load or voltage imbalance. To this end, the different types of imbalances considered are studied by comparing the results in the classical αβγ axes, the so-called mno-transform specifically developed for 3-phase 4-wire systems and the RRF coordinates. In addition, a theoretical identification of some types of imbalances is done comparing the simulation results and the fundamentals of the RRF.INDEX TERMS Coordinate transformation, reference frame, three-phase four-wire system, unbalanced power system.

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“…However, it can be only applied to three-phase three-wire systems. Other recently proposed transformations rely on techniques never applied before in this field such as mechanical approaches [23] or Singular Value Decomposition (SVD) [24], but with a high computational cost which prevents its use in realtime applications. Recently, A.A. Montanari and A.M. Gole propose a transformation to a new reference frame called mno to cope with three-phase four-wire systems including zerosequence components and its corresponding power theory [25].…”

Section: Introduction D Ifferent Transforms Have Been Used In Electricalmentioning

confidence: 99%

Reduced Reference Frame Transform: Deconstructing Three-Phase Four-Wire Systems

et al. 2020

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This paper proposes a new reference frame, namely Reduced Reference Frame (RRF), specially suited for unbalanced three-phase four-wire systems which improves the performance of the classical Fortescue, Clarke and Park transformations. The RRF transfomation allows to represent any unbalanced three-phase sinusoidal magnitude with just two components even if the zero-sequence component is present. For doing so, the RRF transformation takes into account that the abc space-vector trajectory of the transformed three-phase sinusoidal magnitude is always within a plane. The geometric properties of this trajectory are considered for outlining a general classification of the transformation depending on the input voltages and an adequate reference frame within the plane. Then, a step-by-step procedure for computing the transformation matrix is detailed. Once the voltages and currents are transformed into the RRF, it is proposed a power theory which allows to compute the instantaneous active and reactive powers. The paper includes two simulations and an experimental validation through a real-time application to highlight the benefits of the proposal. The paper closes with the main conclusions and some future research lines where this transformation can be applied.INDEX TERMS coordinate transformation, reference frame, three-phase four-wire systems, unbalanced power systems.

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Estimation of geometric properties of three-component signals for system monitoring

Cited by 6 publications

References 11 publications

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review

Reduced Reference Frame Transformation Assessment in Unbalanced Three-Phase Four-Wire Systems

Reduced Reference Frame Transform: Deconstructing Three-Phase Four-Wire Systems

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