scholarly journals Understanding Power Quality using IoT-based Smart Analyzers and Advanced Software Tools

2021 ◽  
Vol 19 ◽  
pp. 356-361
Author(s):  
A. Alcayde ◽  
◽  
F.G. Montoya ◽  
F.M. Arrabal-Campos ◽  
Jesús González ◽  
...  
Keyword(s):  
Power Quality ◽  
Engineering Students ◽  
Electrical Engineering ◽  
Real Data ◽  
Software Tools ◽  
Quality Data ◽  
Smart Meters ◽  
Electronic Engineering ◽  
Waveform Distortions ◽  
High Level

Power Quality is an important topic for undergraduate electrical engineering students around the world. In addition to the theoretical contents prepared and explained by the lecturer to their students, this matter has an important practical focus. In this paper, a framework for teaching power quality in laboratories using IoT-based smart analyzers and advanced software tools is developed to provide the students the opportunity of studying real data with a high level of detail. In particular, practical lessons have been designed in such a way that the students are trained in the use of well-known commercial smart meters (like the Circutor MYeBOX 1500) or opensource systems (like the openZmeter) to acquire energy and power quality data from real world measurements and to analyze the data collected using advanced software tools (like PowerVision). The results obtained from several courses of electrical and electronic engineering show that the students acquire practical skills that allow them to reinforce their knowledge regarding power quality concepts, including harmonics, and power quality events such as voltage sag/swell, flicker, or waveform distortions. Therefore, this methodology can be applied for teaching power quality in undergraduate and graduate electrical engineering courses.

scholarly journals Social Electrical Engineering: A Pathway for Better Undergraduate Education

2018 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Amilton Costa Lamas ◽  
Anderson Gomes Domingues
Keyword(s):  
Engineering Students ◽  
Low Cost ◽  
Electrical Engineering ◽  
Cyclic Process ◽  
Communication Analysis ◽  
Professional Recognition ◽  
Electrical Engineers ◽  
White Cane ◽  
Social Capitals ◽  
High Level

As engineering skills becomes a commodity, electrical engineers’ programs are urged to adapt their pedagogical strategies do better prepared their graduates. The 21st century engineers are expected to have a strong technical background while being capable to work with people with different kinds of intellectual and social capitals, and to have a high level of cognitive flexibility. This article reports on the application of an information appropriation method, adopted by the Department of Electrical Engineering at PUC-Campinas, where activities on extension projects are simultaneously conducted along with the regularly schedule classes. The study case is related to the coplanning and cocreation of a technological white cane (proof of connect) between electrical engineering students, social technicians and the visually impaired. In the present case, the technicians were led to reinterpret, adapt and reinvent technology while contributing to the design and build of a low cost adaptive electronic sensing aid attachable to a white cane. The collaborative method, applied during conversation rounds, is based on a virtuous cyclic process which includes steps like information capture, validation, guidance and feedback. The engineering students, on the other hand, have the opportunity to develop their communication, analysis and interpretation skills in a way not available in the classroom. They also experience solving conflict situations and find creative uses and applications for they knowledge not otherwise foreseen. The participating students transformed information into knowledge through a dialogical experience with people having a contrasting technological background to its own. Through this experience the engineering graduates emerged with a greater sense of responsibility with the society and a better understanding of what means to be an engineer. Participation in the Extension Project also brought up several opportunities of professional recognition by the technicians and the visual impaired themselves, which stimulated the students do achieve better performance in the course.

What Can Digitization Do For Formulated Product Innovation and Development

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray
Keyword(s):  
High Performance ◽  
Quality Data ◽  
High Quality Data ◽  
Base Level ◽  
Hybrid Approaches ◽  
Digital Ecosystem ◽  
Recent Developments ◽  
Chemical Simulation ◽  
High Level ◽  
Physical And Chemical

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>

scholarly journals Intelligent Starting Current-Based Fault Identification of an Induction Motor Operating under Various Power Quality Issues

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 304
Author(s):  
Sakthivel Ganesan ◽  
Prince Winston David ◽  
Praveen Kumar Balachandran ◽  
Devakirubakaran Samithas
Keyword(s):  
Standard Deviation ◽  
Power Quality ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Classification Accuracy ◽  
Induction Motors ◽  
Quality Data ◽  
Starting Current ◽  
Quality Issues ◽  
Condition Monitoring System

Since most of our industries use induction motors, it is essential to develop condition monitoring systems. Nowadays, industries have power quality issues such as sag, swell, harmonics, and transients. Thus, a condition monitoring system should have the ability to detect various faults, even in the presence of power quality issues. Most of the fault diagnosis and condition monitoring methods proposed earlier misidentified the faults and caused the condition monitoring system to fail because of misclassification due to power quality. The proposed method uses power quality data along with starting current data to identify the broken rotor bar and bearing fault in induction motors. The discrete wavelet transform (DWT) is used to decompose the current waveform, and then different features such as mean, standard deviation, entropy, and norm are calculated. The neural network (NN) classifier is used for classifying the faults and for analyzing the classification accuracy for various cases. The classification accuracy is 96.7% while considering power quality issues, whereas in a typical case, it is 93.3%. The proposed methodology is suitable for hardware implementation, which merges mean, standard deviation, entropy, and norm with the consideration of power quality issues, and the trained NN proves stable in the detection of the rotor and bearing faults.

scholarly journals Photovoltaic Prediction Software: Evaluation with Real Data from Northern Spain

2021 ◽  
Vol 11 (11) ◽  
pp. 5025
Author(s):  
David González-Peña ◽  
Ignacio García-Ruiz ◽  
Montserrat Díez-Mediavilla ◽  
Mª. Isabel Dieste-Velasco ◽  
Cristina Alonso-Tristán
Keyword(s):  
Energy Production ◽  
Field Data ◽  
Real Data ◽  
Software Tools ◽  
Horizontal Axis ◽  
Real Field ◽  
Tracking Systems ◽  
Northern Spain ◽  
Commercial Software ◽  
Solar Tracking

Prediction of energy production is crucial for the design and installation of PV plants. In this study, five free and commercial software tools to predict photovoltaic energy production are evaluated: RETScreen, Solar Advisor Model (SAM), PVGIS, PVSyst, and PV*SOL. The evaluation involves a comparison of monthly and annually predicted data on energy supplied to the national grid with real field data collected from three real PV plants. All the systems, located in Castile and Leon (Spain), have three different tilting systems: fixed mounting, horizontal-axis tracking, and dual-axis tracking. The last 12 years of operating data, from 2008 to 2020, are used in the evaluation. Although the commercial software tools were easier to use and their installations could be described in detail, their results were not appreciably superior. In annual global terms, the results hid poor estimations throughout the year, where overestimations were compensated by underestimated results. This fact was reflected in the monthly results: the software yielded overestimates during the colder months, while the models showed better estimates during the warmer months. In most studies, the deviation was below 10% when the annual results were analyzed. The accuracy of the software was also reduced when the complexity of the dual-axis solar tracking systems replaced the fixed installation.

scholarly journals Combined Correlation and Cluster Analysis for Long-Term Power Quality Data from Virtual Power Plant

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 641
Author(s):  
Michał Jasiński
Keyword(s):  
Cluster Analysis ◽  
Power Plant ◽  
Power Quality ◽  
Quality Data ◽  
Virtual Power ◽  
Distributed Resources ◽  
Virtual Power Plant ◽  
And Cluster Analysis ◽  
Global Indicators

Analysis of the connection between different units that operate in the same area assures always interesting results. During this investigation, the concerned area was a virtual power plant (VPP) that operates in Poland. The main distributed resources included in the VPP are a 1.25 MW hydropower plant and an associated 0.5 MW energy storage system. The mentioned VPP was a source of synchronic, long-term, multipoint power quality (PQ) data. Then, for five related measurement points, the conclusion about the relation in point of PQ was performed using correlation analysis, the global index approach, and cluster analysis. Global indicators were applied in place of PQ parameters to reduce the amount of analyzed data and to check the correlation between phase values. For such a big dataset, the occurrence of outliers is certain, and outliers may affect the correlation results. Thus, to find and exclude them, cluster analysis (k-means algorithm, Chebyshev distance) was applied. Finally, the correlation between PQ global indicators of different measurement points was performed. It assured general information about VPP units’ relation in point of PQ. Under the investigation, both Pearson’s and Spearman’s rank correlation coefficients were considered.

Design of Power Quality Management Software Based on Virtual Instrument and Oracle

2013 ◽  
Vol 427-429 ◽  
pp. 2441-2444
Author(s):  
Wei Chen ◽  
Long Chen ◽  
Ming Li
Keyword(s):  
Power Quality ◽  
Software Design ◽  
Virtual Instrument ◽  
Quality Analysis ◽  
Quality Data ◽  
Data Handling ◽  
Data Display ◽  
Report Generation ◽  
Management Capacity ◽  
Power Quality Analysis

This paper presents a software design useful for power quality analysis and data management. The software was programmed in LabVIEW and Oracle, running on Windows in a regular PC. LabVIEW acquires data continuously from the lower machine via TCP/IP. Using its database connection toolkit, LabVIEW accesses to Oracle to stores and retrieve the power quality data according to different indicators. A friendly GUI was built for data display and user operation, taking advantage of the powerful data-handling capacity of LabVIEW and its rich controls. Moreover, Excel reports can be exported using report generation toolkit in LabVIEW. The software greatly improves the data analysis and management capacity.

scholarly journals The Sound of Silence?

2005 ◽  
Vol 19 (5) ◽  
pp. 392-398 ◽  
Author(s):  
T. Hassall ◽  
J. Joyce ◽  
M.D. Bramhall ◽  
I.M. Robinson ◽  
J.L. Arquero
Keyword(s):  
Communication Skills ◽  
Engineering Students ◽  
Communication Apprehension ◽  
Vocational Choice ◽  
Communication Performance ◽  
Vocational Skills ◽  
Communication Development ◽  
Current Thinking ◽  
High Level

Employers often consider graduates to be unprepared for employment and lacking in vocational skills. A common demand from them is that the curriculum should include ‘communication skills’, as specific skills in their own right and also because of the central role that such skills can play in developing other desirable attributes. Current thinking in communication has indicated a split between communication apprehension and communication development. There are indications that techniques designed to develop communication skills will not resolve communication apprehension and that, if an individual has a high level of communication apprehension, these techniques will not result in improved communication performance. This paper compares and contrasts the levels and profiles of communication apprehension exhibited by accounting and engineering students. The implications of the findings are then discussed and the need for further research in the area of vocational choice is identified.

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