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Ms. OLIVIA FLORENCIAS-OLIVEROS
Department of Automation Engineering, Electronics, Architecture and Computer Networks, Research Group in Computational Instrumentation and Industrial Electronics (ICEI) (PAIDI-TIC-168), Engineering School of Algeciras, University of Cádiz, 11003 Cádiz, Spain

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0 Big Data
0 Power Quality
0 Power Systems
0 Smart Metering
0 Statistics

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Power Quality
Statistics
sensor networks
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Smart Grids

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Journal article
Published: 30 November 2020 in International Journal of Online and Biomedical Engineering (iJOE)
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Lab sessions in engineering education are designed to reinforce theoretical concepts. However, usually there are not enough time to reinforce all of them. Remote and virtual lab give students more time for reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab equipment and specific configurations. This work proposes a flexible configuration for Remote Lab Sessions, based on some of 2019 most popular programming languages (Python and JavaScript). This configuration needed minimal network privileges, it is easily to scale and reconfigure. Its structure is based on a unique Reception-Server (which hosts User database, and Time Shift Manager, it is accessible from The Internet, and connect Users with Instruments-Servers) and some Instrument-Servers (which manage hardware connection and host experiences). Users always connect to Reception-Server, and book a shift for an experience. During the time range associate to that shift, User is internally forwarded to Instrument-Server associated with selected experience, so User is still connected to Reception-Serer. In this way, Reception-Server acts as a firewall, protecting Instrument-Servers, which never are open to The Internet. A triple evaluation system is implemented, User session logging and auto-evaluation (objectives accomplished) a knowledge test and an interaction survey. An experience is implemented, controlling a DC source using Standard Commands for Programmable Instruments.

ACS Style

Jose María Sierra-Fernandez; Olivia Florencias-Oliveros; Manuel Jesús Espinosa-Gavira; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Juan José González-De-La-Rosa. Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning. International Journal of Online and Biomedical Engineering (iJOE) 2020, 16, 69 -80.

AMA Style

Jose María Sierra-Fernandez, Olivia Florencias-Oliveros, Manuel Jesús Espinosa-Gavira, José Carlos Palomares-Salas, Agustín Agüera-Pérez, Juan José González-De-La-Rosa. Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning. International Journal of Online and Biomedical Engineering (iJOE). 2020; 16 (14):69-80.

Chicago/Turabian Style

Jose María Sierra-Fernandez; Olivia Florencias-Oliveros; Manuel Jesús Espinosa-Gavira; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Juan José González-De-La-Rosa. 2020. "Reconfigurable Web-Interface Remote Lab for Instrumentation and Electronic Learning." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 14: 69-80.

Journal article
Published: 07 April 2020 in Solar Energy
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Small-scale PV generation is particularly affected by the irradiance variability produced by cloud shadows. Accurate predictions of the clouds passing over the PV field are thus necessary for the optimized management and integration of this renewable power source. Two main elements are required to perform these predictions: the local irradiance field and the cloud motion vector. Irradiance sensor networks are positioning as a promising data source at the spatial and temporal scales of the problem, avoiding the irradiance inference problems and costs of image-based instrumentation. This paper proposes a method to infer the cloud shadow motion vector from small-scale irradiance sensor networks data. The method does not require specific network configuration or layout, and the algorithm is computationally simple: graphical solutions are obtained by aggregating mean absolute errors in a diagram/matrix with each element representing a possible displacement of the cloud shadows. The validation is conducted with a fractal cloud model that allows the generation of irradiance time series according to an arbitrary cloud motion vector. The most correlated pair and the linear cloud edge methods are used for benchmarking purposes. Gridded and non-gridded sensors layouts are tested with number of sensors ranging from 9 to 100, monitored areas from 100 to 10000 m2, and sampling periods from 0.3 to 3.3 s. The results show the superiority of the proposed method with a reduction of 50–90% of the root mean square errors respect to the benchmark methods in 75% of the tests. Additionally, the proposed method maintains similar performance as sampling rate decreases, while the benchmark methods exhibit worsening results.

ACS Style

Manuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez; José-Carlos Palomares-Salas; Juan-José González-De-La-Rosa; José-María Sierra-Fernández; Olivia Florencias-Oliveros. Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method. Solar Energy 2020, 202, 276 -293.

AMA Style

Manuel Jesús Espinosa-Gavira, Agustín Agüera-Pérez, José-Carlos Palomares-Salas, Juan-José González-De-La-Rosa, José-María Sierra-Fernández, Olivia Florencias-Oliveros. Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method. Solar Energy. 2020; 202 ():276-293.

Chicago/Turabian Style

Manuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez; José-Carlos Palomares-Salas; Juan-José González-De-La-Rosa; José-María Sierra-Fernández; Olivia Florencias-Oliveros. 2020. "Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method." Solar Energy 202, no. : 276-293.

Journal article
Published: 21 February 2020 in Electronics
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Energy efficiency and consumers’ role in the energy system are among the strategic research topics in power systems these days. Smart grids (SG) and, specifically, microgrids, are key tools for these purposes. This paper presents a three-stage strategy for energy management in a prosumer nanogrid. Firstly, energy monitoring is performed and time-space compression is applied as a tool for forecasting energy resources and power quality (PQ) indices; secondly, demand is managed, taking advantage of smart appliances (SA) to reduce the electricity bill; finally, energy storage systems (ESS) are also managed to better match the forecasted generation of each prosumer. Results show how these strategies can be coordinated to contribute to energy management in the prosumer nanogrid. A simulation test is included, which proves how effectively the prosumers’ power converters track the power setpoints obtained from the proposed strategy.

ACS Style

Eva González-Romera; Enrique Romero-Cadaval; Joaquín Garrido-Zafra; Olivia Florencias-Oliveros; Mercedes Ruiz-Cortés; Antonio Moreno-Munoz; Juan-José González-De-La-Rosa. Demand and Storage Management in a Prosumer Nanogrid Based on Energy Forecasting. Electronics 2020, 9, 363 .

AMA Style

Eva González-Romera, Enrique Romero-Cadaval, Joaquín Garrido-Zafra, Olivia Florencias-Oliveros, Mercedes Ruiz-Cortés, Antonio Moreno-Munoz, Juan-José González-De-La-Rosa. Demand and Storage Management in a Prosumer Nanogrid Based on Energy Forecasting. Electronics. 2020; 9 (2):363.

Chicago/Turabian Style

Eva González-Romera; Enrique Romero-Cadaval; Joaquín Garrido-Zafra; Olivia Florencias-Oliveros; Mercedes Ruiz-Cortés; Antonio Moreno-Munoz; Juan-José González-De-La-Rosa. 2020. "Demand and Storage Management in a Prosumer Nanogrid Based on Energy Forecasting." Electronics 9, no. 2: 363.

Journal article
Published: 01 July 2019 in Renewable Energy and Power Quality Journal
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ACS Style

Jesús Manuel González-Bueno; University of Cádiz. Research Group PAIDI-TIC 168; J.C. Palomares-Salas; Juan José González-De-La-Rosa; Olivia Florencias-Oliveros; José María Sierra-Fernández; Manuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez. PQD classifier based on higher-order statistics and total harmonic distortion. Renewable Energy and Power Quality Journal 2019, 17, 26 -30.

AMA Style

Jesús Manuel González-Bueno, University of Cádiz. Research Group PAIDI-TIC 168, J.C. Palomares-Salas, Juan José González-De-La-Rosa, Olivia Florencias-Oliveros, José María Sierra-Fernández, Manuel Jesús Espinosa-Gavira, Agustín Agüera-Pérez. PQD classifier based on higher-order statistics and total harmonic distortion. Renewable Energy and Power Quality Journal. 2019; 17 ():26-30.

Chicago/Turabian Style

Jesús Manuel González-Bueno; University of Cádiz. Research Group PAIDI-TIC 168; J.C. Palomares-Salas; Juan José González-De-La-Rosa; Olivia Florencias-Oliveros; José María Sierra-Fernández; Manuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez. 2019. "PQD classifier based on higher-order statistics and total harmonic distortion." Renewable Energy and Power Quality Journal 17, no. : 26-30.

Journal article
Published: 01 July 2019 in Renewable Energy and Power Quality Journal
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ACS Style

Olivia Florencias-Oliveros; Higher Polytechnic School of Algeciras. University of Cádiz. Spain; Ana María Blanco; Jan Meyer; Juan José González De La Rosa; Agustín Agüera Pérez. Automatic classification of circuit topologies of appliances based on higher order statistic. Renewable Energy and Power Quality Journal 2019, 17, 516 -521.

AMA Style

Olivia Florencias-Oliveros, Higher Polytechnic School of Algeciras. University of Cádiz. Spain, Ana María Blanco, Jan Meyer, Juan José González De La Rosa, Agustín Agüera Pérez. Automatic classification of circuit topologies of appliances based on higher order statistic. Renewable Energy and Power Quality Journal. 2019; 17 ():516-521.

Chicago/Turabian Style

Olivia Florencias-Oliveros; Higher Polytechnic School of Algeciras. University of Cádiz. Spain; Ana María Blanco; Jan Meyer; Juan José González De La Rosa; Agustín Agüera Pérez. 2019. "Automatic classification of circuit topologies of appliances based on higher order statistic." Renewable Energy and Power Quality Journal 17, no. : 516-521.

Journal article
Published: 14 February 2019 in Sustainability
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Different forecasting methodologies, classified into parametric and nonparametric, were studied in order to predict the average concentration of P M 10 over the course of 24 h. The comparison of the forecasting models was based on four quality indexes (Pearson’s correlation coefficient, the index of agreement, the mean absolute error, and the root mean squared error). The proposed experimental procedure was put into practice in three urban centers belonging to the Bay of Algeciras (Andalusia, Spain). The prediction results obtained with the proposed models exceed those obtained with the reference models through the introduction of low-quality measurements as exogenous information. This proves that it is possible to improve performance by using additional information from the existing nonlinear relationships between the concentration of the pollutants and the meteorological variables.

ACS Style

José Carlos Palomares-Salas; Juan José González-De-La-Rosa; Agustín Agüera-Pérez; José María Sierra-Fernández; Olivia Florencias-Oliveros. Forecasting PM10 in the Bay of Algeciras Based on Regression Models. Sustainability 2019, 11, 968 .

AMA Style

José Carlos Palomares-Salas, Juan José González-De-La-Rosa, Agustín Agüera-Pérez, José María Sierra-Fernández, Olivia Florencias-Oliveros. Forecasting PM10 in the Bay of Algeciras Based on Regression Models. Sustainability. 2019; 11 (4):968.

Chicago/Turabian Style

José Carlos Palomares-Salas; Juan José González-De-La-Rosa; Agustín Agüera-Pérez; José María Sierra-Fernández; Olivia Florencias-Oliveros. 2019. "Forecasting PM10 in the Bay of Algeciras Based on Regression Models." Sustainability 11, no. 4: 968.

Journal article
Published: 25 December 2018 in Energies
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The increasing development of the smart grid demands reliable monitoring of the power quality at different levels, introducing more and more measurement points. In this framework, the advanced metering infrastructure must deal with this large amount of data, storage capabilities, improving visualization, and introducing customer-oriented interfaces. This work proposes a method that optimizes the smart grid data, monitoring the real voltage supplied based on higher order statistics. The method proposes monitoring the network from a scalable point of view and offers a two-fold perspective based on the duality utility-prosumer as a function of the measurement time. A global PQ index and 2D graphs are introduced in order to compress the time domain information and quantify the deviations of the waveform shape by means of three parameters. Time-scalability allows two extra features: long-term supply reliability and power quality in the short term. As a case study, the work illustrates a real-life monitoring in a building connection point, offering 2D diagrams, which show time and space compression capabilities, as well.

ACS Style

Olivia Florencias-Oliveros; Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; José-Carlos Palomares-Salas. Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid. Energies 2018, 12, 55 .

AMA Style

Olivia Florencias-Oliveros, Juan-José González-De-La-Rosa, Agustín Agüera-Pérez, José-Carlos Palomares-Salas. Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid. Energies. 2018; 12 (1):55.

Chicago/Turabian Style

Olivia Florencias-Oliveros; Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; José-Carlos Palomares-Salas. 2018. "Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid." Energies 12, no. 1: 55.

Journal article
Published: 01 October 2018 in Applied Energy
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Meteorological conditions determine the renewable energy generation and, to a lesser extent, the load of microgrids. Weather forecasts are thus necessary to establish optimal plans according to the operational objectives and priorities of each microgid. Weather forecast errors are also responsible for deviations from these plans, thereby being an important source of uncertainty in the scheduling process. Despite this, weather information plays a secondary role in most of microgrid studies. This paper provides a general overview of the use of meteorological data in microgrids, focusing on the implementation of weather forecasts in microgrid energy management systems. Data sources, methodologies, uncertainty approaches and results from a selection of papers with complete information about the forecast context are analysed in detail. Additionally, similarities and differences regarding other energy forecast applications apart from microgrids are discussed. Finally, on the basis of the above, a list of recommendations for future implementations of weather forecasts in microgrid energy management systems is presented.

ACS Style

Agustín Agüera-Pérez; J.C. Palomares-Salas; Juan José González de la Rosa; Olivia Florencias-Oliveros. Weather forecasts for microgrid energy management: Review, discussion and recommendations. Applied Energy 2018, 228, 265 -278.

AMA Style

Agustín Agüera-Pérez, J.C. Palomares-Salas, Juan José González de la Rosa, Olivia Florencias-Oliveros. Weather forecasts for microgrid energy management: Review, discussion and recommendations. Applied Energy. 2018; 228 ():265-278.

Chicago/Turabian Style

Agustín Agüera-Pérez; J.C. Palomares-Salas; Juan José González de la Rosa; Olivia Florencias-Oliveros. 2018. "Weather forecasts for microgrid energy management: Review, discussion and recommendations." Applied Energy 228, no. : 265-278.

Journal article
Published: 01 September 2018 in Measurement
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This paper presents a measurement procedure to be implemented in smart Power Quality Analyzers (PQA), and conceived to monitor service nodes in the current electrical network. It is thought on the need for developing measurement instruments capable of detecting newly PQ events, which commonly appear in the modern Smart Grid (SG), adding at the same time complementary information, regarding the real-time network state, than the conventional meters do. Its novelty resides in the deployment of the events’ trajectories in three types of 2D maps based in Higher-Order Statistics (HOS). The events under study appear isolated or in hybrid versions: sags and transients. Examining the HOS dynamics (trajectories in the HOS planes), the procedure allows the online detection and help detect specific types of events. Additionally, this trajectory-based method reveals some other features like hybrid events, the depth or event degree, the duration and the phase changes. The results are based on real-life signals, which have been surveyed in a building’s node. A complementary deviation index gathers the information regarding the individual distances between each statistic and its associated ideal value.

ACS Style

Olivia Florencias-Oliveros; Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; J.C. Palomares-Salas. Power quality event dynamics characterization via 2D trajectories using deviations of higher-order statistics. Measurement 2018, 125, 350 -359.

AMA Style

Olivia Florencias-Oliveros, Juan-José González-De-La-Rosa, Agustín Agüera-Pérez, J.C. Palomares-Salas. Power quality event dynamics characterization via 2D trajectories using deviations of higher-order statistics. Measurement. 2018; 125 ():350-359.

Chicago/Turabian Style

Olivia Florencias-Oliveros; Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; J.C. Palomares-Salas. 2018. "Power quality event dynamics characterization via 2D trajectories using deviations of higher-order statistics." Measurement 125, no. : 350-359.

Proceedings article
Published: 01 September 2018 in 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS)
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This work presents a qualitative study regarding how frequency uncertainty affects Power Quality (PQ) by tracking higher-order statistics (HOS) deviations in 2D graphs. Changes in the fundamental frequency of the voltage supply affect the signal's shape, which is surveyed using the variance, the skewness and kurtosis of the normalized signal, by following the trajectories in the HOS planes that gather the dynamic of the electric voltage supply. Using test signals, the limits, established in the EN 50160 for the frequency deviations in synchronous and isolated systems, have been mapped into the HOS planes in order to characterize the trajectories associated with contractual limits and to propose new PQ indices based on HOS not only for frequency deviation but also for other type of power quality events. The deviations of the statistics are quantified in the HOS plane according to these thresholds. This method is capable not only of reporting deviations but also of monitoring real-time events, e.g. the case of the industrial frequency transients and the frequency fluctuations in case of high penetration of renewable energy sources.

ACS Style

Olivia Florencias-Oliveros; Agustin Aguera-Perez; Jose-Maria Sierra-Fernandez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Manuel-Jesus Espinosa-Gavira. Voltage Supply Frequency Uncertainty influence on Power Quality index: A qualitative analysis of Higher-Order Statistics 2D trajectories. 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS) 2018, 1 -6.

AMA Style

Olivia Florencias-Oliveros, Agustin Aguera-Perez, Jose-Maria Sierra-Fernandez, Juan-Jose Gonzalez-De-La-Rosa, Jose-Carlos Palomares-Salas, Manuel-Jesus Espinosa-Gavira. Voltage Supply Frequency Uncertainty influence on Power Quality index: A qualitative analysis of Higher-Order Statistics 2D trajectories. 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS). 2018; ():1-6.

Chicago/Turabian Style

Olivia Florencias-Oliveros; Agustin Aguera-Perez; Jose-Maria Sierra-Fernandez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Manuel-Jesus Espinosa-Gavira. 2018. "Voltage Supply Frequency Uncertainty influence on Power Quality index: A qualitative analysis of Higher-Order Statistics 2D trajectories." 2018 IEEE 9th International Workshop on Applied Measurements for Power Systems (AMPS) , no. : 1-6.

Journal article
Published: 01 April 2018 in Renewable Energy and Power Quality Journal
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ACS Style

Olivia Florencias-Oliveros; Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; José Carlos Palomares-Salas. Discussion on Reliability and Power Quality in the Smart Grid: a prosumer approach of a time scalable index. Renewable Energy and Power Quality Journal 2018, 1, 108 -113.

AMA Style

Olivia Florencias-Oliveros, Juan-José González-De-La-Rosa, Agustín Agüera-Pérez, José Carlos Palomares-Salas. Discussion on Reliability and Power Quality in the Smart Grid: a prosumer approach of a time scalable index. Renewable Energy and Power Quality Journal. 2018; 1 ():108-113.

Chicago/Turabian Style

Olivia Florencias-Oliveros; Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; José Carlos Palomares-Salas. 2018. "Discussion on Reliability and Power Quality in the Smart Grid: a prosumer approach of a time scalable index." Renewable Energy and Power Quality Journal 1, no. : 108-113.

Journal article
Published: 27 February 2018 in 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.

ACS Style

Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; José-Carlos Palomares-Salas; Olivia Florencias-Oliveros; José-María Sierra-Fernández. A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram. Energies 2018, 11, 503 .

AMA Style

Juan-José González-De-La-Rosa, Agustín Agüera-Pérez, José-Carlos Palomares-Salas, Olivia Florencias-Oliveros, José-María Sierra-Fernández. A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram. Energies. 2018; 11 (3):503.

Chicago/Turabian Style

Juan-José González-De-La-Rosa; Agustín Agüera-Pérez; José-Carlos Palomares-Salas; Olivia Florencias-Oliveros; José-María Sierra-Fernández. 2018. "A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram." Energies 11, no. 3: 503.

Conference paper
Published: 01 February 2018 in 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
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This paper presents a Wireless Sensor Network (WSN) design, using the Application Programming Interface (API) mode for accessing to the communication modules built-in functions. In these conditions, the use of an external microcontroller can be avoided with the subsequent reduction in the global network cost, but also increasing the reliability and the flexibility while maintaining the essential features of typical WSN. To show the system performance, two variables have been monitored: light and temperature.

ACS Style

M. J. Espinosa Gavira; A. Jimenez-Pro; J.J. Gonzalez-De-La-Rosa; Agustín Agüera-Pérez; Olivia Florencias-Oliveros; J.C. Palomares-Salas; Jose Maria Sierra-Fernandez. Improving Flexibility in Wireless Sensor Networks via API. An Application in Environmental Monitoring. 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) 2018, 1 -4.

AMA Style

M. J. Espinosa Gavira, A. Jimenez-Pro, J.J. Gonzalez-De-La-Rosa, Agustín Agüera-Pérez, Olivia Florencias-Oliveros, J.C. Palomares-Salas, Jose Maria Sierra-Fernandez. Improving Flexibility in Wireless Sensor Networks via API. An Application in Environmental Monitoring. 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). 2018; ():1-4.

Chicago/Turabian Style

M. J. Espinosa Gavira; A. Jimenez-Pro; J.J. Gonzalez-De-La-Rosa; Agustín Agüera-Pérez; Olivia Florencias-Oliveros; J.C. Palomares-Salas; Jose Maria Sierra-Fernandez. 2018. "Improving Flexibility in Wireless Sensor Networks via API. An Application in Environmental Monitoring." 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) , no. : 1-4.

Journal article
Published: 01 April 2017 in Renewable Energy and Power Quality Journal
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ACS Style

J.M. Sierra-Fernández; J.J. González De La Rosa; A. Agüera-Pérez; J.C. Palomares Salas; Olivia Florencias-Oliveros. Evaluation of a new Power Quality index, based in Higher Order Statistics. Renewable Energy and Power Quality Journal 2017, 1, 37 -42.

AMA Style

J.M. Sierra-Fernández, J.J. González De La Rosa, A. Agüera-Pérez, J.C. Palomares Salas, Olivia Florencias-Oliveros. Evaluation of a new Power Quality index, based in Higher Order Statistics. Renewable Energy and Power Quality Journal. 2017; 1 (15):37-42.

Chicago/Turabian Style

J.M. Sierra-Fernández; J.J. González De La Rosa; A. Agüera-Pérez; J.C. Palomares Salas; Olivia Florencias-Oliveros. 2017. "Evaluation of a new Power Quality index, based in Higher Order Statistics." Renewable Energy and Power Quality Journal 1, no. 15: 37-42.

Journal article
Published: 01 April 2017 in Renewable Energy and Power Quality Journal
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ACS Style

Olivia Florencias-Oliveros; Agustín Agüera-Pérez; Juan José González-De-La-Rosa; José-Carlos Palomares-Salas; José-María Sierra-Fernández. A novel instrument for power quality monitoring based in higher-order statistics: a dynamic triggering index for the smart grid. Renewable Energy and Power Quality Journal 2017, 1, 43 -48.

AMA Style

Olivia Florencias-Oliveros, Agustín Agüera-Pérez, Juan José González-De-La-Rosa, José-Carlos Palomares-Salas, José-María Sierra-Fernández. A novel instrument for power quality monitoring based in higher-order statistics: a dynamic triggering index for the smart grid. Renewable Energy and Power Quality Journal. 2017; 1 (15):43-48.

Chicago/Turabian Style

Olivia Florencias-Oliveros; Agustín Agüera-Pérez; Juan José González-De-La-Rosa; José-Carlos Palomares-Salas; José-María Sierra-Fernández. 2017. "A novel instrument for power quality monitoring based in higher-order statistics: a dynamic triggering index for the smart grid." Renewable Energy and Power Quality Journal 1, no. 15: 43-48.

Journal article
Published: 01 April 2017 in Renewable Energy and Power Quality Journal
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ACS Style

Álvaro Jiménez Montero; Agustín Agüera Pérez; Juan José González De La Rosa; José Carlos Palomares Salas; José María Sierra Fernandez; Olivia Florencias Oliveros. Advanced methods of signal processing for Power Quality assessment. Renewable Energy and Power Quality Journal 2017, 1, 298 -303.

AMA Style

Álvaro Jiménez Montero, Agustín Agüera Pérez, Juan José González De La Rosa, José Carlos Palomares Salas, José María Sierra Fernandez, Olivia Florencias Oliveros. Advanced methods of signal processing for Power Quality assessment. Renewable Energy and Power Quality Journal. 2017; 1 (15):298-303.

Chicago/Turabian Style

Álvaro Jiménez Montero; Agustín Agüera Pérez; Juan José González De La Rosa; José Carlos Palomares Salas; José María Sierra Fernandez; Olivia Florencias Oliveros. 2017. "Advanced methods of signal processing for Power Quality assessment." Renewable Energy and Power Quality Journal 1, no. 15: 298-303.

Conference paper
Published: 01 January 2017 in 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
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This paper proposes a technique based in the graphical cluster analysis to be implemented in Smart Power Quality Analyzers (SPQA), a proposal Instrument Class S, according to the standard UNE-EN 61000-4-30, with the goal of monitoring electrical grids where new events arise as a consequence of the penetration of new energy resources. In the presence of an electrical fault the instrument triggers the measurement procedure, according to a settled threshold of the PQ, and calculates the higher-order statistics (HOS) features in the time domain that enable the classification. Performance results over a battery of 160 signals show two clusters (sags and transients), with an acceptable accuracy of 80%. The work also presents the concept of the uncertainty inter-cluster area. The analysis of the intensity cluster disturbances helps the grid operator characterizing better the database and introducing some qualitative criteria for monitoring the smart grid.

ACS Style

Olivia Florencias-Oliveros; Agustin Aguera-Perez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Jose-Maria Sierra-Fernandez; Alvaro Jimenez Montero. Cluster analysis for Power Quality monitoring. 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) 2017, 626 -631.

AMA Style

Olivia Florencias-Oliveros, Agustin Aguera-Perez, Juan-Jose Gonzalez-De-La-Rosa, Jose-Carlos Palomares-Salas, Jose-Maria Sierra-Fernandez, Alvaro Jimenez Montero. Cluster analysis for Power Quality monitoring. 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). 2017; ():626-631.

Chicago/Turabian Style

Olivia Florencias-Oliveros; Agustin Aguera-Perez; Juan-Jose Gonzalez-De-La-Rosa; Jose-Carlos Palomares-Salas; Jose-Maria Sierra-Fernandez; Alvaro Jimenez Montero. 2017. "Cluster analysis for Power Quality monitoring." 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) , no. : 626-631.