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Agustín Agüera Pérez
Universidad de Cadiz, Research Group PAIDI-TIC-168

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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: 01 July 2019 in Renewable Energy and Power Quality Journal
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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: 11 October 2018 in Sensors
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Very short-term solar forecasts are gaining interest for their application on real-time control of photovoltaic systems. These forecasts are intimately related to the cloud motion that produce variations of the irradiance field on scales of seconds and meters, thus particularly impacting in small photovoltaic systems. Very short-term forecast models must be supported by updated information of the local irradiance field, and solar sensor networks are positioning as the more direct way to obtain these data. The development of solar sensor networks adapted to small-scale systems as microgrids is subject to specific requirements: high updating frequency, high density of measurement points and low investment. This paper proposes a wireless sensor network able to provide snapshots of the irradiance field with an updating frequency of 2 Hz. The network comprised 16 motes regularly distributed over an area of 15 m × 15 m (4 motes × 4 motes, minimum intersensor distance of 5 m). The irradiance values were estimated from illuminance measurements acquired by lux-meters in the network motes. The estimated irradiances were validated with measurements of a secondary standard pyranometer obtaining a mean absolute error of 24.4 W/m2 and a standard deviation of 36.1 W/m2. The network was able to capture the cloud motion and the main features of the irradiance field even with the reduced dimensions of the monitoring area. These results and the low-cost of the measurement devices indicate that this concept of solar sensor networks would be appropriate not only for photovoltaic plants in the range of MW, but also for smaller systems such as the ones installed in microgrids.

ACS Style

Manuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez; Juan José González De La Rosa; José Carlos Palomares-Salas; José María Sierra-Fernández; Juan González De La Rosa. An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems. Sensors 2018, 18, 3405 .

AMA Style

Manuel Jesús Espinosa-Gavira, Agustín Agüera-Pérez, Juan José González De La Rosa, José Carlos Palomares-Salas, José María Sierra-Fernández, Juan González De La Rosa. An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems. Sensors. 2018; 18 (10):3405.

Chicago/Turabian Style

Manuel Jesús Espinosa-Gavira; Agustín Agüera-Pérez; Juan José González De La Rosa; José Carlos Palomares-Salas; José María Sierra-Fernández; Juan González De La Rosa. 2018. "An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems." Sensors 18, no. 10: 3405.

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: 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

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.

Journal article
Published: 01 November 2016 in Measurement
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Juan José González De La Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. Wavelets’ filters and higher-order frequency analysis of acoustic emission signals from termite activity. Measurement 2016, 93, 315 -318.

AMA Style

Juan José González De La Rosa, Agustín Agüera Pérez, José Carlos Palomares Salas, José María Sierra Fernández. Wavelets’ filters and higher-order frequency analysis of acoustic emission signals from termite activity. Measurement. 2016; 93 ():315-318.

Chicago/Turabian Style

Juan José González De La Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. 2016. "Wavelets’ filters and higher-order frequency analysis of acoustic emission signals from termite activity." Measurement 93, no. : 315-318.

Journal article
Published: 01 January 2016 in Solar Energy
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Agustín Agüera-Pérez; José Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández. Towards a satisfactory wind description for concentrated solar plants production assessment. Solar Energy 2016, 123, 23 -28.

AMA Style

Agustín Agüera-Pérez, José Carlos Palomares-Salas, Juan José González De La Rosa, José María Sierra-Fernández. Towards a satisfactory wind description for concentrated solar plants production assessment. Solar Energy. 2016; 123 ():23-28.

Chicago/Turabian Style

Agustín Agüera-Pérez; José Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández. 2016. "Towards a satisfactory wind description for concentrated solar plants production assessment." Solar Energy 123, no. : 23-28.

Chapter
Published: 01 January 2016 in Genetic Algorithms and Applications for Stock Trading Optimization
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Higher-order statistics demonstrate their innovative features to characterize power quality events, beyond the traditional and limited Gaussian perspective, integrating time-frequency features and within the frame of a Higher-Order Neural Network (HONN). With the massive advent of smart measurement equipment in the electrical grid (Smart Grid), and in the frame of high penetration scenarios of renewable energy resources, the necessity dynamic power quality monitoring is gaining even more importance in order to identify the suspicious sources of the perturbation, which are nonlinear and unpredictable in nature. This eventually would satisfy the demand of intelligent instruments, capable not only of detecting the type of perturbation, but also the source of its origin in a scenario of distributed energy resources.

ACS Style

José Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández; Agustín Agüera-Pérez; Álvaro Jiménez-Montero; Rosa Piotrkowski. Integration of Higher-Order Time-Frequency Statistics and Neural Networks. Genetic Algorithms and Applications for Stock Trading Optimization 2016, 154 -172.

AMA Style

José Carlos Palomares-Salas, Juan José González De La Rosa, José María Sierra-Fernández, Agustín Agüera-Pérez, Álvaro Jiménez-Montero, Rosa Piotrkowski. Integration of Higher-Order Time-Frequency Statistics and Neural Networks. Genetic Algorithms and Applications for Stock Trading Optimization. 2016; ():154-172.

Chicago/Turabian Style

José Carlos Palomares-Salas; Juan José González De La Rosa; José María Sierra-Fernández; Agustín Agüera-Pérez; Álvaro Jiménez-Montero; Rosa Piotrkowski. 2016. "Integration of Higher-Order Time-Frequency Statistics and Neural Networks." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 154-172.

Journal article
Published: 09 September 2015 in Energies
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For the development of the future smart grid, the detection of power quality events is a key issue for the power system monitoring. Voltage sags, swells, harmonics (variations) and interruptions, which produce large losses for commercial and industrial consumers, are the main events to be considered due to the sensitivity of equipment to these electrical anomalies. The steady-state events are even more frequently accompanied by transients, the discrimination and localization being far more exigent and requiring advanced signal separating tools to be incorporated in the measurement equipment. This paper shows the event detection performance of the spectral kurtosis as a signal separating tool in the frequency domain. The disturbances under test are hybrid signals resulting from the coupling between amplitude defects and non-desired higher frequencies. Being a fourth-order spectrum, the kurtosis is confirmed as a noise-resistant tool that enhances impulsiveness, therefore characterizing the electrical anomalies. In the beginning of the analysis, the voltage sag is established as a reference; then, the disturbances (oscillatory transients and harmonics) are coupled at the starting and ending instants of the sag, resulting in complex hybrid events. The results show that the spectral kurtosis enhances the detection Energies 2015, 8 9778 of both types of events (steady state and transients), which are outlined in a bump shape in the fourth-order frequency pattern and centered in the main carrier frequency. Indeed, while the oscillatory transients are associated with softer and lower-amplitude peaks, the harmonics correspond to crisper and higher ones. As these mixed electrical faults are very common in the actual power grid, the article postulates the higher-order spectra to be implemented in prospective online measurement instruments.

ACS Style

Juan José González De La Rosa; José María Sierra-Fernández; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Álvaro Jiménez Montero. An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events. Energies 2015, 8, 9777 -9793.

AMA Style

Juan José González De La Rosa, José María Sierra-Fernández, José Carlos Palomares-Salas, Agustín Agüera-Pérez, Álvaro Jiménez Montero. An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events. Energies. 2015; 8 (9):9777-9793.

Chicago/Turabian Style

Juan José González De La Rosa; José María Sierra-Fernández; José Carlos Palomares-Salas; Agustín Agüera-Pérez; Álvaro Jiménez Montero. 2015. "An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events." Energies 8, no. 9: 9777-9793.

Journal article
Published: 01 May 2015 in Measurement
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ACS Style

Juan José González de la Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity. Measurement 2015, 68, 58 -69.

AMA Style

Juan José González de la Rosa, Agustín Agüera Pérez, José Carlos Palomares Salas, José María Sierra Fernández. A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity. Measurement. 2015; 68 ():58-69.

Chicago/Turabian Style

Juan José González de la Rosa; Agustín Agüera Pérez; José Carlos Palomares Salas; José María Sierra Fernández. 2015. "A novel measurement method for transient detection based in wavelets entropy and the spectral kurtosis: An application to vibrations and acoustic emission signals from termite activity." Measurement 68, no. : 58-69.

Conference paper
Published: 01 March 2015 in 2015 IEEE International Conference on Industrial Technology (ICIT)
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This paper compares classification techniques to identify several power quality disturbances in a frame of smart metering design for smart grids with high penetration of PV systems. These techniques are: Linear Discriminant Analysis (LDA), Nearest Neighbor Method (kNN), Learning Vector Quantization (LVQ) and Support Vector Machine (SVM). For this purpose, fourteen power-quality features based in higher-order statistics are used to assist classification. Special attention is paid to the spectral kurtosis, whose nature enables measurement options related to the impulsiveness of the power quality events. The best technique of those compared is selected according to correlation and mistake rates. Results clearly reveal the potential capability of the methodology in classifying the single disturbances. Concretely, the SVM classifier obtained an average correlation rate of 99%. Hence, concluding that it is a robust classification method.

ACS Style

J.C. Palomares-Salas; Juan Jose Gonzalez De La Rosa; Agustín Agüera-Pérez; Jose Maria Sierra-Fernandez. Smart grids power quality analysis based in classification techniques and higher-order statistics: Proposal for photovoltaic systems. 2015 IEEE International Conference on Industrial Technology (ICIT) 2015, 2955 -2959.

AMA Style

J.C. Palomares-Salas, Juan Jose Gonzalez De La Rosa, Agustín Agüera-Pérez, Jose Maria Sierra-Fernandez. Smart grids power quality analysis based in classification techniques and higher-order statistics: Proposal for photovoltaic systems. 2015 IEEE International Conference on Industrial Technology (ICIT). 2015; ():2955-2959.

Chicago/Turabian Style

J.C. Palomares-Salas; Juan Jose Gonzalez De La Rosa; Agustín Agüera-Pérez; Jose Maria Sierra-Fernandez. 2015. "Smart grids power quality analysis based in classification techniques and higher-order statistics: Proposal for photovoltaic systems." 2015 IEEE International Conference on Industrial Technology (ICIT) , no. : 2955-2959.