Power Quality: Scientific Collaboration Networks and Research Trends

Power quality is a research field related to the proper operation of devices and technological equipment in industry, service, and domestic activities. The level of power quality is determined by variations in voltage, frequency, and waveforms with respect to reference values. These variations correspond to different types of disturbances, including power fluctuations, interruptions, and transients. Several studies have been focused on analysing power quality issues. However, there is a lack of studies on the analysis of both the trending topics and the scientific collaboration network underlying the field of power quality. To address these aspects, an advanced model is used to retrieve data from publications related to power quality and analyse this information using a graph visualisation software and statistical tools. The results suggest that research interests are mainly focused on the analysis of power quality problems and mitigation techniques. Furthermore, they are observed important collaboration networks between researchers within and across countries.

[1]  Adel M. Sharaf,et al.  A unified index for power quality evaluation in distributed generation systems , 2018 .

[2]  Axel Bruns,et al.  HOW LONG IS A TWEET? MAPPING DYNAMIC CONVERSATION NETWORKS ON TWITTER USING GAWK AND GEPHI , 2012 .

[3]  A. Elwakil,et al.  Power and energy analysis of fractional-order electrical energy storage devices , 2016 .

[4]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[5]  Michael Burch,et al.  A Taxonomy and Survey of Dynamic Graph Visualization , 2017, Comput. Graph. Forum.

[6]  Elpidio Oscar Benitez Nara,et al.  An embedded system approach for energy monitoring and analysis in industrial processes , 2016 .

[7]  Francisco G. Montoya,et al.  A fast method for identifying worldwide scientific collaborations using the Scopus database , 2018, Telematics Informatics.

[8]  Rene de Jesus Romero-Troncoso,et al.  Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review , 2011 .

[9]  Jinho Choi,et al.  Analysis of keyword networks in MIS research and implications for predicting knowledge evolution , 2011, Inf. Manag..

[10]  Chen Li,et al.  Efficient record linkage in large data sets , 2003, Eighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings..

[11]  Peter Christen,et al.  A Comparison of Fast Blocking Methods for Record Linkage , 2003, KDD 2003.

[12]  Kim J. R. Rasmussen,et al.  Network Effects on Scientific Collaborations , 2013, PloS one.

[13]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[14]  M. Kwiek The Internationalization of Research in Europe , 2015 .

[15]  Fiorenzo Franceschini,et al.  Empirical analysis and classification of database errors in Scopus and Web of Science , 2016, J. Informetrics.

[16]  Bojan Štumberger,et al.  Power quality experimental analysis of grid-connected photovoltaic systems in urban distribution networks , 2017 .

[17]  Azah Mohamed,et al.  Intelligent detection of unstable power swing for correct distance relay operation using S-transform and neural networks , 2011, Expert Syst. Appl..

[18]  M. Jacomy,et al.  ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software , 2014, PloS one.

[19]  Hedio Tatizawa,et al.  Power quality and energy efficiency assessment and the need for labelling and minimum performance standard of uninterruptible power systems (UPS) in Brazil , 2012 .

[20]  L. Barote,et al.  Software method for harmonic content evaluation of grid connected converters from distributed power generation systems , 2014 .

[21]  Debora Coll-Mayor,et al.  Methodology based on the value of lost load for evaluating economical losses due to disturbances in the power quality , 2012 .

[22]  Joao P. S. Catalao,et al.  Comparative study of power converter topologies and control strategies for the harmonic performance of variable-speed wind turbine generator systems , 2011 .

[23]  Paul Dempsey,et al.  Survey on demand side sensitivity to power quality in Ireland , 2016 .

[24]  Maria Dolores Gil Montoya,et al.  Power quality techniques research worldwide: A review , 2016 .

[25]  V G Kinhal,et al.  Performance Investigation of Neural-Network-Based Unified Power-Quality Conditioner , 2011, IEEE Transactions on Power Delivery.

[26]  Qian Qing-quan,et al.  Study of a new method for power system transients classification based on wavelet entropy and neural network , 2011 .

[27]  Wing-Hong Lau,et al.  Real-Time Power-Quality Monitoring With Hybrid Sinusoidal and Lifting Wavelet Compression Algorithm , 2012, IEEE Transactions on Power Delivery.

[28]  Om Prakash Mahela,et al.  Power quality assessment and event detection in hybrid power system , 2018, Electric Power Systems Research.

[29]  Francisco G. Montoya,et al.  The research on energy in spain: A scientometric approach , 2014 .

[30]  Ken Weng Kow,et al.  A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events , 2016 .

[31]  Masood Fooladi,et al.  A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases , 2013, ArXiv.

[32]  Thomas Seidl,et al.  Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform , 2013, CIKM.

[33]  Walid G. Morsi,et al.  Power quality evaluation in smart grids considering modern distortion in electric power systems , 2011 .

[34]  P. Altbach,et al.  The Internationalization of Higher Education: Motivations and Realities , 2007 .

[35]  Andrew Kusiak,et al.  Optimization of wind turbine energy and power factor with an evolutionary computation algorithm , 2010 .

[36]  Mahmoud Pesaran,et al.  A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances , 2015 .

[37]  W. B. Cavnar,et al.  N-gram-based text categorization , 1994 .

[38]  Yuh-Shan Ho,et al.  Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006 , 2009, Scientometrics.

[39]  Ahmed K. Elmagarmid,et al.  Duplicate Record Detection: A Survey , 2007, IEEE Transactions on Knowledge and Data Engineering.

[40]  David Seidl,et al.  A holistic approach to power quality parameter optimization in AC coupling Off-Grid systems , 2017 .

[41]  Qiao Liu,et al.  Detection of power quality disturbances using an adaptive process noise covariance Kalman filter , 2018, Digit. Signal Process..

[42]  Rafael Aleixandre-Benavent,et al.  A systematic analysis of duplicate records in Scopus , 2015, J. Informetrics.

[43]  Francisco G. Montoya,et al.  Energy benchmarking for shopping centers in Gulf Coast region , 2016 .

[44]  Maria Dolores Gil Montoya,et al.  Comparative analysis of power variables in high performance embedded and x86 architectures using GNU/Linux , 2011, Comput. Electr. Eng..

[45]  Irene Yu-Hua Gu,et al.  Bridge the gap: signal processing for power quality applications , 2003 .