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Time series forecasting of disaggregated freight flow is a key issue in decision-making by port authorities. For this purpose and to test new deep learning techniques we have selected seven time series of imported goods from Morocco to Spain through the port of Algeciras, and we have tested two forecasting deep neural networks models: dilated causal convolutional and encoder–decoder recurrent. We have experimented with four different granularities for each series: quarterly, monthly, weekly and daily. The results show that our neural network models can manage these raw series without first removing seasonality or trend. We also highlight the ability of neural models to work with a fixed input size of one year, being able to make good predictions using the same input size for all granularities. The two deep learning models have globally improved the benchmarks of the M4 Competition of forecasting. Each neural network model obtains its best results under different circumstances: the recurrent one with daily granularity and intermittent series, and the convolutional one with weekly and monthly granularities.
Isidro Lloret; José A. Troyano; Fernando Enríquez; Juan-José González-De-La-Rosa. Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent. Soft Computing 2021, 25, 7769 -7784.
AMA StyleIsidro Lloret, José A. Troyano, Fernando Enríquez, Juan-José González-De-La-Rosa. Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent. Soft Computing. 2021; 25 (12):7769-7784.
Chicago/Turabian StyleIsidro Lloret; José A. Troyano; Fernando Enríquez; Juan-José González-De-La-Rosa. 2021. "Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent." Soft Computing 25, no. 12: 7769-7784.
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.
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 StyleJose 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 StyleJose 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.
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.
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 StyleEva 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 StyleEva 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.
We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. As a consequence, numerous emerging words are relevant to this point: Internet of Things (IoT), big data, smart cities, smart grid, industry 4.0, etc. To achieve this formidable goal, systems should work more efficiently, a fact that inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines and, consequently, for people. Many researchers are endeavouring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book, and its associated Special Issue, offer a compilation of some of the recent advances in this field. The chapters range from computing to technological implementation, going through event detection strategies and new indices and measurement methods that contribute significantly to the advance of PQ analysis and regulation. Experiments have been developed within the frameworks of research units and projects and deal with real data from industry practice and public buildings. Human beings have an unavoidable commitment to sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.
Juan-José González De-La-Rosa; Manuel Pérez-Donsión. Special Issue “Analysis for Power Quality Monitoring”. Energies 2020, 13, 514 .
AMA StyleJuan-José González De-La-Rosa, Manuel Pérez-Donsión. Special Issue “Analysis for Power Quality Monitoring”. Energies. 2020; 13 (3):514.
Chicago/Turabian StyleJuan-José González De-La-Rosa; Manuel Pérez-Donsión. 2020. "Special Issue “Analysis for Power Quality Monitoring”." Energies 13, no. 3: 514.
The energy supply of office buildings and smart homes is a key issue in the global energy system. The growing use of microelectronics-based technology achieves new devices for a more comfortable life and wider use of electronic office equipment. On the one hand, these applications incorporate more and more sensitive electronic devices which are potentially affected by any external electrical transient. On the other hand, the existing electrical loads, which generally use electronic power systems (such as different types of battery chargers, ballasts, inverters, switching power supplies, etc.), generate different kinds of transients in their own electrical internal network. Moreover, improvements in the information of the state of the mains alternating current (AC) power line allows risk evaluation of any disturbance caused to permanently connected electronic equipment, such as computers, appliances, home security systems, phones, TVs, etc. For this reason, it is nowadays more important to introduce monitoring solutions into the electrical network to measure the level of power quality so that it can protect itself when necessary. This article describes a small and compact detector using a low-cost microcontroller and a very simple direct acquiring circuit. In addition; it analyzes different methods to implement various power quality (PQ) surveillance algorithms that can be implemented in this proposed minimum hardware platform. Hence; it is possible to achieve cheap and low-power monitoring devices that can become nodes of a wireless sensor network (WSN). The work shows that using a small computational effort; reasonable execution speed; and acceptable reliability; this solution can be used to detect a variety of large disturbance phenomena and spread the respective failure report through a 433 MHz or 2.4 GHz radio transmitter. Therefore, this work can easily be extended to the Internet of Things (IoT) paradigm. Simultaneously, a software application (PulsAC) has been developed to monitor the microcontroller’s real-time progress and detection capability. Moreover, this high-level code (C++ language), allows us to test and debug the different utilized algorithms that will be later run by the microcontroller unit. These tests have been performed with real signals introduced by a function generator and superimposed on the true AC sine wave
José María Guerrero Rodríguez; Clemente Cobos Sánchez; Juan-José González-De-La-Rosa; Diego Sales-Lérida; Guerrero- Rodríguez; Cobos- Sánchez; González- De- La- Rosa; Sales- Lérida. An Embedded Sensor Node for the Surveillance of Power Quality. Energies 2019, 12, 1561 .
AMA StyleJosé María Guerrero Rodríguez, Clemente Cobos Sánchez, Juan-José González-De-La-Rosa, Diego Sales-Lérida, Guerrero- Rodríguez, Cobos- Sánchez, González- De- La- Rosa, Sales- Lérida. An Embedded Sensor Node for the Surveillance of Power Quality. Energies. 2019; 12 (8):1561.
Chicago/Turabian StyleJosé María Guerrero Rodríguez; Clemente Cobos Sánchez; Juan-José González-De-La-Rosa; Diego Sales-Lérida; Guerrero- Rodríguez; Cobos- Sánchez; González- De- La- Rosa; Sales- Lérida. 2019. "An Embedded Sensor Node for the Surveillance of Power Quality." Energies 12, no. 8: 1561.
Motivated by the effects of deregulation over power quality and the subsequent need of new types of measurements, this paper assesses different implementations of an estimate for the spectral kurtosis, considered as a low-level harmonic detection. Performance of a processor-based system is compared with a field programmable gate array (FPGA)-based solution, in order to evaluate the accuracy of this processing function for implementation in autonomous measurement equipment. The fourth-order spectrum, with applications in different fields, needs advanced digital signal processing, making it necessary to compare implementation alternatives. In order to obtain reproducible results, the implementations have been developed using common design and programming tools. Several characteristics of the implementations are compared, showing that the increasing complexity and reduced cost of the current FPGA models make the implementation of complex mathematical functions feasible. We show that FPGAs improve the processing capability of the best processor using an operating frequency 33 times lower. This fact strongly supports its implementation in hand-held instruments.
María-Ángeles Cifredo-Chacón; Fernando Perez-Peña; Ángel Quirós-Olozábal; Juan-José González-De-La-Rosa. Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System. Energies 2019, 12, 914 .
AMA StyleMaría-Ángeles Cifredo-Chacón, Fernando Perez-Peña, Ángel Quirós-Olozábal, Juan-José González-De-La-Rosa. Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System. Energies. 2019; 12 (5):914.
Chicago/Turabian StyleMaría-Ángeles Cifredo-Chacón; Fernando Perez-Peña; Ángel Quirós-Olozábal; Juan-José González-De-La-Rosa. 2019. "Implementation of Processing Functions for Autonomous Power Quality Measurement Equipment: A Performance Evaluation of CPU and FPGA-Based Embedded System." Energies 12, no. 5: 914.
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.
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 StyleJosé 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 StyleJosé 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.
The highly-changing concept of Power Quality (PQ) needs to be continuously reformulated due to the new schemas of the power grid or Smart Grid (SG). In general, the spectral content is characterized by their averaged or extreme values. However, new PQ events may consist of large variations in amplitude that occur in a short time or small variations in amplitude that take place continuously. Thus, the former second-order techniques are not suitable to monitor the dynamics of the power spectrum. In this work, a strategy based on Spectral Kurtosis (SK) is introduced to detect frequency components with a constant amplitude trend, which accounts for amplitude values’ dispersion related to the mean value of that spectral component. SK has been proven to measure frequency components that follow a constant amplitude trend. Two practical real-life cases have been considered: electric current time-series from an arc furnace and the power grid voltage supply. Both cases confirm that the more concentrated the amplitude values are around the mean value, the lower the SK values are. All this confirms SK as an effective tool for evaluating frequency components with a constant amplitude trend, being able to provide information beyond maximum variation around the mean value and giving a progressive index of value dispersion around the mean amplitude value, for each frequency component.
Jose-María Sierra-Fernández; Sarah Rönnberg; Juan-José González De La Rosa; Math H. J. Bollen; José-Carlos Palomares-Salas. Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics. Energies 2019, 12, 194 .
AMA StyleJose-María Sierra-Fernández, Sarah Rönnberg, Juan-José González De La Rosa, Math H. J. Bollen, José-Carlos Palomares-Salas. Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics. Energies. 2019; 12 (1):194.
Chicago/Turabian StyleJose-María Sierra-Fernández; Sarah Rönnberg; Juan-José González De La Rosa; Math H. J. Bollen; José-Carlos Palomares-Salas. 2019. "Application of Spectral Kurtosis to Characterize Amplitude Variability in Power Systems’ Harmonics." Energies 12, no. 1: 194.
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.
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 StyleOlivia 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 StyleOlivia 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.
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.
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 StyleManuel 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 StyleManuel 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.
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.
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 StyleAgustín 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 StyleAgustín 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.
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.
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 StyleOlivia 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 StyleOlivia 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.
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.
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 StyleOlivia 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 StyleOlivia 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.
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 StyleOlivia 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 StyleOlivia 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.
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.
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 StyleJuan-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 StyleJuan-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.
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 StyleÁlvaro 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 StyleÁlvaro 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.
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 StyleOlivia 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 StyleOlivia 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.
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.
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 StyleOlivia 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 StyleOlivia 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.
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 StyleJuan 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 StyleJuan 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.
Power-line signal analysis according to international standards implies the acquisition of signals with a stable frequency. However, the value of this frequency falls in a relatively wide range. That frequency stability allows the adoption of an acquisition scheme where it is not allowed to use another window function other than the rectangular one. This implies that the signal sample set has to include an integer number of periods of the analyzed signal. Otherwise, a significant spectral leakage is produced during the sample set processing. If it is also taken into account that the fundamental analysis tool, FFT, needs a sample set with a number of points that has to be a power of two, it must be concluded that signal samples has to be acquired in a synchronized way with the signal, or a lot of preprocessing has to be done before FFT in order to obtain a sample set that fulfills the mathematical and standard-derived requirements. In this paper we present and evaluate a simple and accurate FPGA-based synchronizing method that allows the right acquisition of power-line signals.
Ángel Quirós-Olozábal; Maria-Angeles Cifredo-Chacon; Juan Jose Gonzalez De La Rosa; Jose Maria Sierra-Fernandez. A simple and accurate FPGA-based synchronizing method for power-line signal acquisition. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) 2016, 1 -5.
AMA StyleÁngel Quirós-Olozábal, Maria-Angeles Cifredo-Chacon, Juan Jose Gonzalez De La Rosa, Jose Maria Sierra-Fernandez. A simple and accurate FPGA-based synchronizing method for power-line signal acquisition. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). 2016; ():1-5.
Chicago/Turabian StyleÁngel Quirós-Olozábal; Maria-Angeles Cifredo-Chacon; Juan Jose Gonzalez De La Rosa; Jose Maria Sierra-Fernandez. 2016. "A simple and accurate FPGA-based synchronizing method for power-line signal acquisition." 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) , no. : 1-5.