A novel virtual instrument for power quality surveillance based in higher-order statistics and case-based reasoning

Rosa, Juan José González de la; Agüera-Pérez, Agustín; Palomares-Salas, José Carlos; Sierra-Fernández, José María; Moreno-Muñoz, Antonio

doi:10.1016/j.measurement.2012.03.036

Cited by 43 publications

(15 citation statements)

References 26 publications

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“…Within the transient detection context, the target PQ event is always considered non-Gaussian, while the floor is assumed to be stationary Gaussian signal [4,[22][23][24]. Thus, using HOS would help to locate the transient in a qualitative way, with a rough approximation.…”

Section: Higher-order Statistics and The Spectral Kurtosismentioning

confidence: 99%

A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram

González-de-la-Rosa¹,

Agüera-Pérez²,

Palomares-Salas³

et al. 2018

Energies

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This paper presents a higher-order statistics-based approach of detecting transients that uses the fourth-order discrete spectrogram to monitor the power supply in a node of the domestic smart grid. Taking advantage of the mixed time-frequency domain information, the method allows for the transient detection and the subsequent identification of the potential area in which the fault takes place. The proposed method is evaluated through real power-line signals from the Spanish electrical grid. Thanks to the peakedness enhancement capability of the higher-order spectra, the results show that the procedure is able to detect low-level transients, which are likely ignored by the traditional detection procedures, where the concern pertains to power reliability (not oriented to micro grids), and this, by analyzing the duration and frequency content of the electrical perturbation, may indicate prospective faulty states of elements in a grid. Easy to implement in a hand-held instrument, the computational strategy has a 5 Hz resolution in the range 0-500 Hz and a 50 Hz resolution in the range of 0-5 kHz, and could be consequently used by technicians in order to allocate new types of transients originated by the distributed energy resources. Four real-life case-studies illustrate the performance.

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Section: Higher-order Statistics and The Spectral Kurtosismentioning

confidence: 99%

A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram

González-de-la-Rosa¹,

Agüera-Pérez²,

Palomares-Salas³

et al. 2018

Energies

Self Cite

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“…In fact, HOS take into account an extended set of features that enhance detection and make the decision-making stage feasible. More precisely, the work [25], where second and higher-order features are combined to take a decision on the event under study, has been adopted to implement the detection algorithm, this time on an autonomous platform.…”

Section: Event Detectionmentioning

confidence: 99%

An Embedded System in Smart Inverters for Power Quality and Safety Functionality

et al. 2016

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The electricity sector is undergoing an evolution that demands the development of a network model with a high level of intelligence, known as a Smart Grid. One of the factors accelerating these changes is the development and implementation of renewable energy. In particular, increased photovoltaic generation can affect the network's stability. One line of action is to provide inverters with a management capacity that enables them to act upon the grid in order to compensate for these problems. This paper describes the design and development of a prototype embedded system able to integrate with a photovoltaic inverter and provide it with multifunctional ability in order to analyze power quality and operate with protection. The most important subsystems of this prototype are described, indicating their operating fundamentals. This prototype has been tested with class A protocols according to IEC 61000-4-30 and IEC 62586-2. Tests have also been carried out to validate the response time in generating orders and alarm signals for protections. The highlights of these experimental results are discussed. Some descriptive aspects of the integration of the prototype in an experimental smart inverter are also commented upon.

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“…A Distribution Automation System (DAS) can be defined as an integrated system that enables an electricity utility to monitor, coordinate and operate distribution components, in a real-time remote mode [4] [8]. A DAS continuously controls, monitors and protects the network to avoid unplanned network outages.…”

Section: Distribution Automation System Overviewmentioning

confidence: 99%

Embedding Synchronized Measurement Technology for Smart Grid Development

Moreno-Munoz

Pallares-Lopez

Rosa

et al. 2013

IEEE Trans. Ind. Inf.

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A novel virtual instrument for power quality surveillance based in higher-order statistics and case-based reasoning

Cited by 43 publications

References 26 publications

A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram

A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram

An Embedded System in Smart Inverters for Power Quality and Safety Functionality

Embedding Synchronized Measurement Technology for Smart Grid Development

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