Some supervisors and examiners think they are great, they are actually convinced about it, but are they really as good as they think? How have they arrived at such conclusion and would this conclusion be valid in the presence of hard data? If you ask students, you might find a different answer, and hard data will show that.
In general, supervisors and examiners are reluctant on having their performance evaluated, however, if they are to enhance their practice, a systematic approach needs to be used where they can obtain knowledge about their strengths and weaknesses which would allow them to take informed decisions on how to improve their practice.
This project aims to derive strategies that will lead to a systematic enhancement of the quality of supervision and examination by using quantitative and qualitative methods. The author began assessing his performance from 2011-2013, and using the available data, a new method and instruments for quality enhancement will be derived in the future.
AMEE2013 ePortfolio workshop - UCL, Brighton and Sussex, BristolLaura-Jane Smith
A workshop on using an electronic portfolio for undergraduate medical students: lessons learnt from three UK medical schools. A workshop led by undergraduate students and faculty.
AMEE2013 ePortfolio workshop - UCL, Brighton and Sussex, BristolLaura-Jane Smith
A workshop on using an electronic portfolio for undergraduate medical students: lessons learnt from three UK medical schools. A workshop led by undergraduate students and faculty.
This presentation formed part of the HEA-funded workshop 'Critical thinking in action: developing analytical skills in Criminology students. An experiential learning approach'
The workshop presented research and facilitated discussion on developing critical thinking skills in criminology students. Discussion of research results and use of a case study approach to teaching and learning highlighted how student views/concerns about their failure in developing critical thinking skills can be addressed via new directions in teaching.
This presentation forms part of a blog post which can be accessed via:
For further details of HEA Social Sciences work relating to active and experiential learning please see: http://www.heacademy.ac.uk/resources/detail/disciplines/Soc_Sci/Strategic_2013/ActiveandExperiential
Maximizing Benefit: Five Strategies for Getting the Most from Your Survey Ass...Pat Barlow
This poster was presented at the 2014 American College of Surgeons (ACS) Accredited Education Institutes (AEI) conference in Chicago this past year. It highlights 5 simple strategies for getting the most out of a survey or assessment instrument. Thought I'd upload it for those of you interested more in survey design.
Questionnaire /Schedule design is a systematic approach/process of including relevant questions in a questionnaire in such a way that the best or accurate responses are obtained from respondent with very little / no discomfort on the part of the respondent as well as the enumerator.The most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the target group. Questionnaire / Schedules design is one of the most critical stages in the survey research process and therefore has to be given the utmost attention. This power point presentation will guide you through schedules and questionnaire design.
This presentation formed part of the HEA-funded workshop 'Critical thinking in action: developing analytical skills in Criminology students. An experiential learning approach'
The workshop presented research and facilitated discussion on developing critical thinking skills in criminology students. Discussion of research results and use of a case study approach to teaching and learning highlighted how student views/concerns about their failure in developing critical thinking skills can be addressed via new directions in teaching.
This presentation forms part of a blog post which can be accessed via:
For further details of HEA Social Sciences work relating to active and experiential learning please see: http://www.heacademy.ac.uk/resources/detail/disciplines/Soc_Sci/Strategic_2013/ActiveandExperiential
Maximizing Benefit: Five Strategies for Getting the Most from Your Survey Ass...Pat Barlow
This poster was presented at the 2014 American College of Surgeons (ACS) Accredited Education Institutes (AEI) conference in Chicago this past year. It highlights 5 simple strategies for getting the most out of a survey or assessment instrument. Thought I'd upload it for those of you interested more in survey design.
Questionnaire /Schedule design is a systematic approach/process of including relevant questions in a questionnaire in such a way that the best or accurate responses are obtained from respondent with very little / no discomfort on the part of the respondent as well as the enumerator.The most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the target group. Questionnaire / Schedules design is one of the most critical stages in the survey research process and therefore has to be given the utmost attention. This power point presentation will guide you through schedules and questionnaire design.
From Passively Received Wisdom to Actively Constructed Knowledge:Teaching Systematic Review Skills As a Foundation of Evidence-Based Management
Presentation by Rob Briner and Neil Walshe
AOM Annual Meeting 2015, Vancouver
Mentoring Students in Aging Research - Dr. Dan Durkinemergeuwf
This activity utilizes a mentoring model to work with students to develop a research project for presentation at the Southeastern Student Mentoring Conference in Gerontology and Geriatrics. The conference is an annual event that takes place in late March or early April.
Learning
Learning can be defined in many ways, but most psychologists would agree that it is a relatively permanent change in behavior that results from experience. During the first half of the twentieth century, the school of thought known as behaviorism rose to dominate psychology and sought to explain the learning process.
The three major types of learning described by behavioral psychology are classical conditioning, operant conditioning, and observational learning.
Behaviorism
Behaviorism was the school of thought in psychology that sought to measure only observable behaviors.
Founded by John B. Watson and outlined in his seminal 1913 paper Psychology as the Behaviorist Views It, the behaviorist standpoint held that psychology was an experimental and objective science and that internal mental processes should not be considered because they could not be directly observed and measured.
Watson's work included the famous Little Albert experiment in which he conditioned a small child to fear a white rat. Behaviorism dominated psychology for much of the early twentieth century. While behavioral approaches remain important today, the latter part of the century was marked by the emergence of humanistic psychology, biological psychology, and cognitive psychology.Classical Conditioning
Classical conditioning is a learning process in which an association is made between a previously neutral stimulus and a stimulus that naturally evokes a response.
For example, in Pavlov's classic experiment, the smell of food was the naturally occurring stimulus that was paired with the previously neutral ringing of the bell. Once an association had been made between the two, the sound of the bell alone could lead to a response.
How Classical Conditioning Works
Operant Conditioning
Operant conditioning is a learning process in which the probability of a response occurring is increased or decreased due to reinforcement or punishment. First studied by Edward Thorndike and later by B.F. Skinner, the underlying idea behind operant conditioning is that the consequences of our actions shape voluntary behavior.
Skinner described how reinforcement could lead to increases in behaviors where punishment would result in decreases. He also found that the timing of when reinforcements were delivered influenced how quickly a behavior was learned and how strong the response would be. The timing and rate of reinforcement are known as schedules of reinforcement.
How Operant Conditioning Works
Observational Learning
Observational learning is a process in which learning occurs through observing and imitating others. Albert Bandura's social learning theory suggests that in addition to learning through conditioning, people also learn through observing and imitating the actions of others.As demonstrated in his classic "Bobo Doll" experiments, people will imitate the actions of others without direct reinforcement. Four important elements are essential for effective observational
Australian university teacher’s engagement with learning analytics: Still ea...Blackboard APAC
This session reports the results of a recent OLT-funded national exploratory study addressing the relevant factors and their impact when implementing learning analytics for student retention purposes. The project utilised a mixed-method research design and yielded a series of outputs, including the development of a non-technical overview of learning analytics, focusing on linking the fields of student retention and learning analytics resulting in an institution level survey focusing on sector readiness and decision making relating to utilising learning analytics for retention purposes. An academic level survey was administered to academic staff exploring their progress, aspirations and support needs relating to learning analytics. Follow-up interviews expanded on their experiences with learning analytics to date. An evidence-based framework was developed, mapping important factors affecting learning analytics decision making and implementation. This was illustrated by a suite of five case studies developed by each of the research partner institutions detailing their experiences with learning analytics and demonstrating why elements in the framework are important. These findings were shared and tested at a National Forum in April 2015.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Medical Education, Feedback, Undergraduates, Feedback for written exam and assignments, feedback for oral presentations, feedback for laboratory experience
Evaluating the impact of the Pandemic on departmental uses of learning techno...RichardM_Walker
The coronavirus pandemic led to a dramatic increase in the use of online learning tools and techniques across the globe as higher education providers moved to maintain teaching provision through lockdowns and social distancing requirements. Emergency Remote Teaching (ERT) required teaching staff to engage with new skills as online learning designers and tutors with unprecedented speed, whilst students were expected to equally quickly develop the skills to engage as fully online learners.
As the sector moved out of the remote phase of the pandemic, there has been a lively debate about what the lasting impact of this ‘crash course’ ERT experience might be on learning supported through the use of technologies. Up to now, however, much of the research attempting to take stock of the post-pandemic impact has been anecdotal and theoretical. There has been little empirical research and questions remain over how pandemic experiences might inform future practice and a sustainable use of learning technology.
This presentation reports on research undertaken at the University of York, exploring how experiences of ERT were carried forward into the academic years 2021-22 and 2022-23. Our study focused on the Departments of Psychology and Biology which took contrasting approaches to the development and delivery of post-pandemic provision. Through structured interviews with teaching leaders in each department, we explored the factors shaping decisions and we compared staff experiences of ERT and its legacy with the perceptions of students and their expectations for how learning technology should be used in the future.
In this presentation we provide an overview of the staff and student focus group findings which suggest that the impact of the pandemic itself was shaped as much by factors which were already in play when it emerged. To differing degrees and at different times, it served to both interrupt and accelerate progress in the integration of learning technologies within departmental learning, teaching and assessment approaches by:
• Changing attitudes and approaches to standardisation, and the management and organisation of teaching and use of learning technologies;
• Re-focusing attention on the importance of academic community building;
• Influencing the ways in which departments perceive student needs, preferences, and engagement patterns;
• Changing how they conceive of and deliver student support and inclusive learning and assessment practices in a flexible way, and the place of blended learning in these endeavours.
Improving student learning through assessment and feedback in the new higher education landscape by Professor Graham Gibbs presented at the Learning @ City 2012 Conference at City University London.
View the presentation video here: http://www.youtube.com/watch?v=DbzMTXRBcQk&feature=plcp
Presentation of a paper at the ASCILITE Conference, discussing how we need to share the findings of failed research, so we can learn from other's mistakes. The full paper may be found at: https://www.researchgate.net/publication/311108135_Failing_forward_in_research_around_technology_enhanced_learning
Rapid qualitative analysis vs the 'traditional approach': early findings and ...NIHR CLAHRC West Midlands
Dr Beck Taylor of Theme 1, Maternity and Child Health, presented her latest project, comparing a rapid approach to synthesising evidence from qualitative research to traditional research methods, presented at CLAHRC WM Programme Steering Committee meeting, 22nd October 2015
Similar to Quis custodiet ipsos custodes? - Enhancement of Supervision and Examination Practices through Qualitative and Quantitative Methods (20)
Hopf Bifurcation Control of Power Systems Nonlinear Dynamics Via a Dynamic St...Luigi Vanfretti
This is the second part of a two-part paper presenting a dynamic state feedback control law that guarantees the elimination of Hopf bifurcations before the occurrence of a saddle-node bifurcation. In Part I, the mathematical representation of the system's dynamics, Hopf, and Saddle-Node bifurcation theorems, and the state feedback controller design were presented. In this part, to illustrate the system analysis methodology, control design, and to carry out performance evaluation of the controller, both single-machine and multimachine power systems are analyzed. To highlight the effect of saturation phenomena, bifurcation analyses are performed before and after detailed modeling of synchronous generator saturation, for the single-machine power system case. The multimachine case is used to illustrate the scalability and applicability of the method to generic power networks.
Hopf Bifurcation Control of Power System Nonlinear Dynamics via a Dynamic Sta...Luigi Vanfretti
This two-part paper introduces a dynamic state feedback control law that guarantees the elimination of Hopf bifurcations (HB) before reaching the saddle-node bifurcations (SNB). Part I is devoted to the mathematical representation of the detailed system dynamics, investigation of HB and SNB theorems, and state feedback controller design. For purposes of dynamical analysis, the stable equilibria of the system is obtained. Then the control system is designed with the objective of preventing the voltage collapse before the SNB, such that the structural stability of the system is preserved in the stationary branch of the solutions. The controller aims to relocate Hopf bifurcations to the stationary branch of solutions located after SNB, eliminating the HB from normal operating region of the system. In order to evaluate the performance of the proposed controller, bifurcation analysis has been performed in Part II using single-machine and multi-machine test systems.
Vulnerability of Synchrophasor-based WAMPAC Applications’ to Time-Synchroniza...Luigi Vanfretti
This paper experimentally assesses the impact of time synchronization spoofing attacks (TSSA) on synchrophasor-based Wide-Area Monitoring, Protection and Control applications. Phase Angle Monitoring (PAM), anti-islanding protection and power oscillation damping applications are investigated. TSSA are created using a real-time IRIG-B signal generator and power system models are executed using a real-time simulator with commercial phasor measurement units (PMUs) coupled to them as hardware-in-the-loop. Because PMUs utilize time synchronization signals to compute synchrophasors, an error in the PMUs’ time input introduces a proportional phase error in the voltage or current phase measurements provided by the PMU. The experiments conclude that a phase angle monitoring application will show erroneous power transfers, whereas the anti-islanding protection mal-operates and the damping controller introduces negative damping in the system as a result of the time synchronization error incurred in the PMUs due to TSSA. The proposed test-bench and TSSA approach can be used to investigate the impact of TSSA on any WAMPAC application and to determine the time synchronization error threshold that can be tolerated by these WAMPAC applications.
Model-Simulation-and-Measurement-Based Systems Engineering of Power System Sy...Luigi Vanfretti
This talk starts by exploring how electrical power systems are increasingly becoming digitalized, leading to their transformation into a class of cyber-physical systems (a system of systems) where the electrical grid merges with ubiquitous information and communication technologies (ICT).
This type of complex systems present unprecedented challenges in their operation and control, and due to unknown interactions with ICT, require new concepts, methods and tools to facilitate their operational design, manufacturing (of components), and testing/verification/validation of their performance.
Inspired by the tremendous advantages of the model-based system engineering (MBSE) framework developed by the aerospace and military communities, this talk will highlight the challenges to adopt MBSE for electrical power grids. MBSE is not only a framework to deal with all the phases of putting in place complex systems-of-systems, but also provides a foundation for the democratization of technology - both software and hardware.
The talk will illustrate the foundations that have been built by the presenter's research over the last 7 years, placed within the context of MBSE, with focus on areas of power engineering. Some of these foundations and contributions include the OpenIPSL, RaPId, SD3K, BableFish and Khorjin open source software developed and distributed online by the research group, and available at: https://github.com/ALSETLab
Monitoring of Transmission and Distribution Grids using PMUsLuigi Vanfretti
My presentation on "Monitoring of Transmission and Distribution Grids using PMUs" for the Workshop on Energy Business Opportunities in NY State.
The Center for Integrated Electrical Energy Systems (CIEES) at Stony Brook University and the Center for Future Energy Systems (CFES) at Rensselaer Polytechnic Institute will be holding a one day Workshop on Energy Business Opportunities in NY State.
Title:
Hands-on-OpenIPSL.org using OpenModelica!
Instructor:
Luigi Vanfretti, PhD - RPI
luigi.vanfretti@gmail.com
Abstract:
The Modelica language, being standardized and equation-based, has proven valuable for the for model exchange, simulation and even for model validation applications in actual power systems. These important features have been now recognized by the European Network of Transmission System Operators, which have adopted the Modelica language for dynamic model exchange in the Common Grid Model Exchange Standard (v2.5, Annex F).
Following previous FP7 project results, within the ITEA 3 openCPS project, the presenters have continued the efforts of using the Modelica language for power system modeling and simulation, by developing and maintaining the OpenIPSL library: http://openipsl.org
This tutorial will follow the seminar introducing OpenIPSL.org and give you hands-on-experience on using the library using the OpenModelica modeling and simulation environment.
It is assumed that you have very little experience with OpenModelica and the Modelica language, so detailed instructions are provided.
You will need to bring your computer with OpenModelica installed, see the following link for a .pdf information on installation: https://goo.gl/oLAFv4
You will be working with three examples. In the first example, you will work setting up a power system from scratch and performing simulations using OpenModelica and the OpenIPSL. The second example consists on performing linear analysis using OMNotebook, and implementing a power system stabilizer for the model of example one. Finally, in the third example, you will perform simulations of a typical IEEE 9-Bus power systems and perform a simple analysis of results.
Bio:
Luigi Vanfretti (SMIEEE’14) obtained the M.Sc. and Ph.D. degrees in electric power engineering at Rensselaer Polytechnic Institute, Troy, NY, USA, in 2007 and 2009, respectively.
He was with KTH Royal Institute of Technology, Stockholm, Sweden, as Assistant 2010-2013), and Associate Professor (Tenured) and Docent (2013-2017/August); where he lead the SmarTS Lab and research group. He also worked at Statnett SF, the Norwegian electric power transmission system operator, as consultant (2011 - 2012), and Special Advisor in R&D (2013 - 2016).
He joined Rensselaer Polytechnic Institute in August 2017, to continue to develop his research at ALSETLab: http://alsetlab.com
His research interests are in the area of synchrophasor technology applications; and cyber-physical power system modeling, simulation, stability and control.
Modeling and Simulation of Electrical Power Systems using OpenIPSL.org and Gr...Luigi Vanfretti
Title:
Modeling and Simulation of Electrical Power Systems using OpenIPSL.org and GridDyn
Presenters:
Luigi Vanfretti (RPI) & Philip Top (LNLL)
luigi.vanfretti@gmail.com, top1@llnl.gov
Abstract:
The Modelica language, being standardized and equation-based, has proven valuable for the for model exchange, simulation and even for model validation applications in actual power systems. These important features have been now recognized by the European Network of Transmission System Operators, which have adopted the Modelica language for dynamic model exchange in the Common Grid Model Exchange Standard (v2.5, Annex F).
Following previous FP7 project results, within the ITEA 3 openCPS project, the presenters have continued the efforts of using the Modelica language for power system modeling and simulation, by developing and maintaining the OpenIPSL library: https://github.com/SmarTS-Lab/OpenIPSL
This seminar first gives an overview of the origins of the OpenIPSL and it’s models, it contrasts it against typical power system tools, and gives an introduction the OpenIPSL library. The new project features that help in the OpenIPSL maintenance (use of continuous integration, regression testing, documentation, etc.) are also described.
Finally, the seminar will present current work at LNLL that exploits OpenIPSL in coordination with other tools including ongoing work integrating openIPSL models into GridDyn an open-source power system simulation tool, as well as a demos of the use of openIPSL libraries in GridDyn.
Bios:
Luigi Vanfretti (SMIEEE’14) obtained the M.Sc. and Ph.D. degrees in electric power engineering at Rensselaer Polytechnic Institute, Troy, NY, USA, in 2007 and 2009, respectively.
He was with KTH Royal Institute of Technology, Stockholm, Sweden, as Assistant 2010-2013), and Associate Professor (Tenured) and Docent (2013-2017/August); where he lead the SmarTS Lab and research group. He also worked at Statnett SF, the Norwegian electric power transmission system operator, as consultant (2011 - 2012), and Special Advisor in R&D (2013 - 2016).
He joined Rensselaer Polytechnic Institute in August 2017, to continue to develop his research at ALSETLab: http://alsetlab.com
His research interests are in the area of synchrophasor technology applications; and cyber-physical power system modeling, simulation, stability and control.
Philp Top (Lawrence Livermore National Lab)
PhD 2007 Purdue University. Currently a Research Engineer at Lawrence Livermore National Laboratory in Livermore, CA. Philip has been involved in several projects connected with the DOE effort on Grid Modernization including projects on modeling and simulation, co-simulation and smart grid data analytics. He is the principle developer on the open source power system simulation tool GridDyn, and a key contributor to the HELICS open source co-simulation framework.
Phasor State Estimation Weighting Coefficients for AC and Hybrid Networks wit...Luigi Vanfretti
Power electronics-based devices (e.g., flexible AC transmission system (FACTS) and voltage source converter (VSC)-based HVDC links) installations continues increasing worldwide. Their real-time performance during dynamic responses that need to be monitored
A large potential to develop suitable SE algorithms and models to monitor their dynamical behavior. However, most of the so-called dynamic SEs or forecasting-aided SEs are computationally demanding
We focus on a pseudo-dynamic PMU-only SE that is capable of addressing system dynamics with low computational demands. And this SE uses WLS algorithm.
WLS SEs use weights to take into account inaccuracies in measurements and modeling
This work focuses on how to quantify measurement weights for PMU-only SEs, mainly for the AC network measurements
Real-Time Testing of a Decentralized PMU Data-Based Power Systems Mode Estim...Luigi Vanfretti
Results from a laboratory based decentralized mode-estimator application to show that decentralized architecture is more effective in detecting local, low-damped oscillations.
Comparison between decentralized and centralized mode-estimator in the context of monitoring local forced oscillations.
A SGAM-Based Architecture for Synchrophasor Applications Facilitating TSO/DSO...Luigi Vanfretti
What this presentation tries to convey:
• We need to understand all the roles and actors involved when developing/deploying/using a synchrophasor application
• This can be done with an “Architecture Model” – here we use SGAM.
• To show how this approach allows to provide a “common view and language” for engineers from multiple smart grid domains, allowing them to understand their own role in the deployment/use/etc. of PMU applications.
A Three-Phase VSC-HVDC Average Value Model Implementation using Modelica and ...Luigi Vanfretti
This presentation shows the implementation of a three-phase VSC-HVDC model using the Modelica language. The model is suitable for power system simulation where the power electronic circuitry can be represented using equivalent voltage and current sources to model the high fre- quency switching process. Differently from the authors previous work, this model is built using as much compo- nents as possible from the MSL (Modelica Standard Library) to represent the three-phase electrical circuit, while implementing the de facto control system models used within typical power system simulation tools. To show the applicability of Modelica for modeling a VSC-HVDC, a software-to-software validation is performed using the EMTP-RV power system simulator.
Impact of GPS Signal Loss and Spoofing on Power System Synchrophasor Applicat...Luigi Vanfretti
This presentation shows an experimental assessesment of the impact of time synchronization spoofing attacks (TSSA) on synchrophasor-based Wide-Area Monitoring, Protection and Control applications. Phase Angle Monitoring (PAM), anti-islanding protection and power oscillation damping applications are investigated. TSSA are created using a real-time IRIG-B signal generator and power system models are executed using a real-time simulator with commercial phasor measurement units (PMUs) coupled to them as hardware-in-the-loop. Because PMUs utilize time synchronization signals to compute synchrophasors, an error in the PMUs’ time input introduces a proportional phase error in the voltage or current phase measurements provided by the PMU. The experiments conclude that a phase angle monitoring application will show erroneous power transfers, whereas the anti-islanding protection mal-operates and the damping controller introduces negative damping in the system as a result of the time synchronization error incurred in the PMUs due to TSSA.
The proposed test-bench and TSSA approach can be used to investigate the impact of TSSA on any WAMPAC application and to determine the time synchronization error threshold that can be tolerated by these WAMPAC applications.
Synchrophasor Applications Facilitating Interactions between Transmission and...Luigi Vanfretti
Distribution grid dynamics will become increasingly complex due to the transition from passive to active networks arising from the increase of renewable energy sources at medium and voltage level. A successful transition requires to increase the observability and awareness of the interactions between Transmission and Distribution (T&D) grids, particularly to guarantee adequate operational security.
This presentation explores how different technical means can facilitate interactions between TSOs and DSOs with the utilization of GPS-time-synchronized phasor measurements (aka Phasor Measurement Units (PMUs)) with millisecond resolution. If made available in actual T&D networks, such high-sampled data across operational boundaries allows an opportunity to extract information related to different time-scales.
As part of the work carried out in the EU-funded FP7 IDE4L project (http://ide4l.eu/), a specific use case, containing PMU-based monitoring functions, has been defined to support the architecture design of future distribution grid automation systems. As a result, the architecture can accommodate for key dynamic information extraction and exchange between DSO and TSO.
This presentation presents the use case and focuses on the technical aspects related to the development and implementation of the PMU-based monitoring functionalities that can provide means to facilitate technical co-operation between transmission and distribution operations.
Optimal Multisine Probing Signal Design for Power System Electromechanical Mo...Luigi Vanfretti
This talk presents a methodology for the design of a probing signal used for power system electromechanical mode estimation. Firstly, it is shown that probing mode estimation accuracy depends solely on the probing signal’s power spectrum and not on a specific time-domain realization. A relationship between the probing power spectrum and the accuracy of the mode estimation is used to determine a multisine probing signal by solving an optimization problem. The objective function is defined as a weighting sum of the probing signal variance and the level of the system disturbance caused by the probing. A desired level of the mode estimation accuracy is set as a constraint. The proposed methodology is demonstrated through simulations using the KTH Nordic 32 power system model.
Real-Time Simulation for MBSE of Synchrophasor SystemsLuigi Vanfretti
This talk starts by exploring how electrical power systems are increasingly becoming digitalized, leading to their transformation into a class of cyber-physical systems (a system of systems) where the electrical grid merges with ubiquitous information and communication technologies (ICT).
This type of complex systems present unprecedented challenges in their operation and control, and due to unknown interactions with ICT, require new concepts, methods and tools to facilitate their operational design, manufacturing (of components), and testing/verification/validation of their performance.
Inspired by the tremendous advantages of the model-based system engineering (MBSE) framework developed by the aerospace and military communities, this talk will highlight the challenges to adopt MBSE for electrical power grids. MBSE is not only a framework to deal with all the phases of putting in place complex systems-of-systems, but also provides a foundation for the democratization of technology - both software and hardware.
The talk will illustrate the foundations that have been built by the presenter's research over the last 7 years, placed within the context of MBSE, with focus on areas of power engineering. Some of these foundations and contributions include the OpenIPSL, RaPId, SD3K, BableFish and Khorjin open source software developed and distributed online by the research group, and available at: https://github.com/ALSETLab
Vedran Peric's PhD Defense Presentation: Non-intrusive Methods for Mode Estimation in Power Systems using Synchrophasors
Thesis available at:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-182134
Abstract [en]
Real-time monitoring of electromechanical oscillations is of great significance for power system operators; to this aim, software solutions (algorithms) that use synchrophasor measurements have been developed for this purpose. This thesis investigates different approaches for improving mode estimation process by offering new methods and deepening the understanding of different stages in the mode estimation process.
One of the problems tackled in this thesis is the selection of synchrophasor signals used as the input for mode estimation. The proposed selection is performed using a quantitative criterion that is based on the variance of the critical mode estimate. The proposed criterion and associated selection method, offer a systematic and quantitative approach for PMU signal selection. The thesis also analyzes methods for model order selection used in mode estimation. Further, negative effects of forced oscillations and non-white noise load random changes on mode estimation results have been addressed by exploiting the intrinsic power system property that the characteristics of electromechanical modes are predominately determined by the power generation and transmission network.
An improved accuracy of the mode estimation process can be obtained by intentionally injecting a probing disturbance. The thesis presents an optimization method that finds the optimal spectrum of the probing signals. In addition, the probing signal with the optimal spectrum is generated considering arbitrary time domain signal constraints that can be imposed by various probing signal generating devices.
Finally, the thesis provides a comprehensive description of a practical implementation of a real-time mode estimation tool. This includes description of the hardware, software architecture, graphical user interface, as well as details of the most important components such as the Statnett’s SDK that allows easy access to synchrophasor data streams.
Workshop on Synchrophasors and Control Applications for Power SystemsLuigi Vanfretti
Wednesday, March 16, 2016
9:00 – 9:10
Coffee and Refreshments
9:10 - 9:20
Welcome and introduction
Vedran Perić, KTH
9:20 - 10:10
SmartTS Lab: Overview and Major Projects
Luigi Vanfretti, KTH
10:10 - 11:00
Near On-line Estimation of hydro power plant transfer functions from phasor measurements
Kjetil Uhlen, NTNU
11:00 - 11:10
Coffee break
11:10 - 12:00
PMU-based protection for grid operation applications – Wide Area Monitoring platform and controlled islanding
Marjan Popov, TU Delft
12:00 - 13:40 Lunch break
13:40 - 14:30
Real-time Oscillation Monitoring with Large-Scale PMU data
Mani Venkatasubramanian, Washington State University
14:30 - 15:20
Without tailored modeling data, no satisfactory control at a reasonable cost
Xavier Bombois, Laboratoire Ampère UMR CNRS 5005
15:20 – 15:30
Coffee break
15:40 – 16:30
Ultracapacitor Based Supplementary Excitation Module for Improvement of Synchronous Generator Transient Stability
Luis Rouco, Universidad Pontificia Comillas
16:30 – 17:20
The l1 heuristic for the estimation of piecewise constant/linear signals
Cristian Rojas, KTH
Wanted!: Open M&S Standards and Technologies for the Smart Grid - Introducing...Luigi Vanfretti
Title:
Wanted! - Open M&S Standards and Technologies for the Smart Grid
Subtitle:
Introducing the Open Source iTesla Power Systems Modelica Library and the RaPId Toolbox for Model Identification and Validation
Abstract:
Modeling and Simulation (M&S) technologies have a broad set of applications in power systems, from infrastructure planning, through real-time testing of components, and even for training operators to use decision support systems. However, power system M&S technologies face a great challenge to meet when designing, testing, operating and controlling cyber-physical and sustainable electrical energy systems and components, a.k.a “Smart Grids”.
The speaker claims that open M&S standards can have a large role to play in the development of Smart Grids. This claim will be justified with three examples.
The first example describes the experience gained during the EU FP7 iTesla project where the iTesla Power Systems Modelica Library (iPSL) was designed using the Modelica language. The Modelica language, being standardized and equation-based, has proven valuable for the project for model exchange, and even simulation of actual power networks.
Within the iTesla project, the KTH SmarTS Lab research group has been also applying the FMI standard for model exchange in order to develop a software prototype called RaPId. The RaPId Toolbox aims to provide a “virtual laboratory” to solve parameter identification and model validation problems for any kind of model represented in an FMU, but specifically, for power systems.
The third example comes from a collaboration with Xogeny. It will be shown how it is possible to exploit the FMI to decouple the model from the simulator tool, and thus, exploit the model in unforeseen ways. This shows that is possible develop customized and stand-alone analysis tools using web technologies, giving analyst more time for “analysis”. This approach has an enormous potential for typical analysis applications, but even more, for education.
Binding CIM and Modelica for Consistent Power System Dynamic Model Exchange a...Luigi Vanfretti
Poster Presentation at the IEEE PES General Meeting.
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Quis custodiet ipsos custodes? - Enhancement of Supervision and Examination Practices through Qualitative and Quantitative Methods
1. Quis custodiet ipsos custodes*?
Enhancement of Supervision and Examination Practices through
Qualitative and Quantitative Methods
Assoc. Prof. Dr. Ing. Luigi Vanfretti
KTH SmarTS Lab
luigiv@kth.se
LH219V
Stockholm, February 10th 2015.
2. Outline
• Motivation
• Observations, Challenges
and Assumptions, Hypothesis
• Goal of this study
• Previous methodology, survey
and sample data available
• What’s next?
• Revisiting Old Practices
• Proposed Methodology
• Enhanced Survey
3. Motivation: Observations
and Questions
• Some supervisors and examiners (S&Es) think
they are great, they are actually convinced about
it.
• Are they really as good as they think?
• How have they arrived at such conclusion?
• Would the S&Es self-assessment be valid if:
• If you ask students: might you find a different
answer?
• If you gather quantitative and qualitative data:
will you see consistent results across different
samples?
4. Motivation: Challenge and Assumptions
• Traditionally, S&Es have evaluated the quality of their teaching
through different methods, e.g. [1,2,3]
• Why is this not an approach also taken to evaluate the quality of
S&E?
• Challenge:
• S&Es are reluctant to evaluate the quality of their S&E
practices.
• Assumption seems to hold [4]
• Assumptions: self-development
• The S/E is a reflective supervisor or examiner.
• This S/E would be willing to use quantitative and qualitative
methods and tools to asses its practice
• This S/E would be willing to apply a systematic method for both
data acquisition, analysis and implementation of changes into
his own practice
Luigi does not, in any way, suggest that this should be even considered to be adopted for assessing
supervisors and examiners. I’m doing it for myself! Let me do my thing…
5. Motivation: Hypothesis
• Hypothesis:
• S&Es are “willing and able” to enhance their practice
• To do this, they will need to assess their performance to pin-point strengthens and weaknesses
• And, using their strengths, devise a plan for for continuous enhancement (and to fulfill their role
properly!)
• Therefore, a method and tools to achieve this are necessary.
• In general, these methods and tools should be able to aid in the following process:
• Reflection and Data Acquisition: Do I suck as a supervisor/examiner?
– I.E. What are my strengths and weakness as an S/E.
• Assessment: In what and how badly?
– How can I measure (quantitatively and qualitatively) the quality of my work?
• Action: Can I do something about it (systematically)?
– How can I change and how can I document these changes?
• Repeat: Closed-loop control loop for continuous enhancement.
6. Motivation: Goal
• Goal:
• To derive a new methodology for assessment and an enhanced survey that can be used in the
future by those supervisors and examiners that are interested in enhancing the quality of their
practice.
• To share the experience I’ve gained through a first iteration of applying such systematic
method.
• Background:
• I started this project a few years ago, when I was in the tenure track process at KTH.
• My skills as a supervisor and examiner where put into question by senior staff
• I needed evidence: to be left alone and do my thing
• Consider this specially when your thing is different and works better compared to ‘the way things have always been
done around here’.
• Critical when someone else has control over your own research funds
• I needed evidence to protect myself - so many things can go wrong in the tenure track
• If someone questions your practice, you can answer with facts
• But overall, I needed evidence to become better at what is supposed to be my real job!
• Of course, this is irrelevant for tenure or a full-professorship, nobody cares if you are a good
supervisor/examiner “as long as you show them the money”!
7. Previous Method
The previous method I used was the following:
1. Adaptation and implementation of a student survey (which
included quantitative and qualitative questions)
• Survey originally proposed in [5]. Changes made to adapt for own
needs.
• First implementation July 2011. Used Google Forms.
• Second July 2013. Changes to broaden breath (more student types (e.g.
BSc, Research Visitors, etc.) + clarify ambiguities.
2. Execution of the survey by the students
• At different stages of MSc or PhD or other.
3. Analysis of responses and open discussion during research
group meetings
• Not documented. Plan to hold one for the updated survey.
4. Implementation of changes.
9. Aspects Considered in the Survey
Clerical:
• Initial guidance and thesis contract/proposal
• Paperwork and bureaucracy
• Easiness in booking meetings with the supervisor/examiner
• Compliance with harassment policy
• Equal opportunities practices related to gender, race,
nationality, etc.
Quality of Supervision:
• Availability for continuous supervision and progress
feedback
• Time/value of the supervision meetings
• Provision on practical guidance, methods, etc., in early
stages
• Value and quality of feedback orally or written
Preparation of the
Supervisor/Examiner:
• Provision of literature and relative “currency” of the
supervisor/examiner knowledge on published work
• Level of ability/training of the supervisor/examiner
Social and Ethical Aspects:
• Social/psychological/emotional/motivational support
from supervisor/examiner
• Scientific standards and good practice of the
supervisor/examiner
• Ethical standards of the supervisor
• Level of advice, support and academic freedom at
each project stage
Dissemination:
• Opportunities provided for dissemination and
discussion of research results within technical settings
• Opportunities for exchange in research events,
seminars, lectures or others within the domain of the
project or general field
10. Execution of the Survey
• The survey was to be filled up at least 2 times a year by PhD students,
and at least 2 times by MSc students or others.
• For the MSc students, they would fill up the survey at around 50% of the
completion of their project, and a second time at the completion of their
project.
• Nevertheless, the implementation of the survey became more seldom in
2014, actually stopping. This was due to Luigi burning out…
• An additional execution of the survey will take place in February 2015,
which will be used in the preliminary data analysis.
• Towards the development of a new methodology and enhanced survey, a
“preliminary” version of the new survey will be executed following early
feedback.
11. Some Sample Quantitative Information
(2011-2013)
Project Progress Degree Information
Completed Projects
13. Some Sample Qualitative Information
(2011-2013)
• From a MSc Student: Sometimes you don’t necessarily suck, even if everyone tells you that you suck.
Quantitative and qualitative data will show if there is consistency with other students,
or if this was an outlier case.
A good supervisor may change whole the future of his students.
Since now, I have attended many evaluation meetings, and I always criticized the style of supervision here. The Msc
students have a supervisor for their last semester and not the whole period of study, and no one care for their records
and improvements.
The supervisors are not that much intimate, and they usually don't support students in an adequate manner.
However, I found Luigi to be a different one. He is so motivated, fresh, and full of passion for the job. He works till late
in the night, and even during the weekends just to organize and manage everything in the best possible way. He is so
warm with his students, lets them to express themselves, and provide the necessary freedom for the students to
choose their own style. He asks a lot from the students, and gives them lots of opportunities and chances instead.
…
I love his academic style, and feel extremely comfortable in the research group. He is very intelligent, respectful, and
transfers the motivation to the students also. If it was not due to some limitations, he may perform even better.
14. Some Sample Qualitative Information
(2011-2013)
• From a Male MSc Student:
I experienced a big change during the Thesis. At the start I was not able to work alone and required help always.
I had not my own criteria in order to perform the work.
Luigi really gave me the opportunity to work by myself and taught me how to choose wisely and how to work in
an accurate manner.
So I would like to highlight that I grew personally and educationally while working in the project.
In addition, such an important commitment forced me to be constant and responsible for my work as I had to
report about it.
What I really think was a outstanding was the meetings with Luigi and Tetiana, it was incredible how they were
able to propose new solutions and they came up with ideas. At the beginning I was a little lost but while the time
was going on we improved the ideas and we achieved great results.
Finally, I would to say that having such a nice team as the SmartSLab provides a lot of support and always I
needed help I had it.
• From a Female MSc Student:
He seems to treat women kindlier than men, which is good for me (since I'm a girl) but not for the guys, I believe.
Perception might vary, while the quantitative and qualitative data will show if there is any consistency
in my practices.
15. Some Sample Qualitative Information
(2011-2013)
• From a Female PhD Student:
After having been under Dr. Luigi’s supervision for about one year, little by little, I have come to realize several important
things which have significantly influenced my view of the project I am currently conducting. With the guidance from Dr. Luigi,
I started to have a clearer picture and a better understanding of the topic; the important problems in my field, the relevant
issues, the directions I should be aiming at, and how to tackle the problems. By gradually being questioned, I have
developed a ‘self-questioning’ habit and a thinking process – train of thought – in which I have learnt to connect thoughts
systematically.
Additionally, having been working with Dr. Luigi, I have realized the different (academic) levels of standards, of which I have
now complied with the one thought to have high and international standard, and academic morality. By observing him, I
have realized the difference between a regular researcher and a very good researcher, in which he is the role model, and
what made him became one of those.
One challenge faced under Dr. Luigi’s supervision is that he always comes up with (many nice) new ideas, to catch up with
them and become more independent can be difficult. However, after discussing with him, he agreed to loosen it up. Up to
the present moment, I am satisfied with the situation and his supervision.
Two crucial attitudes a supervisor should have, in my opinion, are a commitment to the role and a will to improve him/herself
to become a better supervisor. I have seen these attitudes from Dr.Luigi; he often asks my opinion about his supervision
attentively listens to what I say and is open to comments as well as suggestions. He is willing to change his supervising
style if it is believed to improve the situations.
In summary, I value the experiences I have had with Dr. Luigi; I have learned many different aspects from him, even from
the mistakes, both by my own and by his own. Last but not least, I started to have ‘fun’ with the project which I did not
have it before, thanks to Dr. Luigi.
Accepting to make changes will improve your student’s feelings about the project, and they will even
start having fun!
16. 2014 - No data (from Feb.)
2015 – Some preliminary data
Quantitative:
Only 8 responses out of 22 expected. Too early to show figures that are meaningful.
Qualitative:
Students notice the difficulties you face (response from 2013)
• I am really sad because he is suffering a lot from the stup** hierarchy system here, and he is always forced to do things
that he doesn't want. He is working in a very stressful situation…
Some things are now worse – but the students want to give good data to help fixing things
• From this question onwards, the grades reflect my personal perception of the last year. I'm totally aware of your situation,
and the consequences it may involve on your supervision of the different students, therefore it is not in an attempt of
criticizing, but more for helping you determine areas of possible improvement, as I noticed you were these past month
making a strong effort in getting better and more present.
Some things are still good
• The freedom that you enjoy while working under the supervision of Dr. Luigi Vanfretti is extra-ordinary. He will give you
some basic ideas during discussions and will allow you to explore it. I was indeed blessed to have such a supervisor and i
am sure i wont be able to have such a Boss in my life again.
17. So… what’s next?
Revisiting Old Practices
• What’s next?
• Revisiting Old Practices
– Revisit the method and the survey.
– Perform data analysis – determine how the survey
has to be analyzed (which methods?) to extract
weaknesses and strengths.
– Check for ambiguities in survey.
– Carry out and document an open workshop with the
students that remain in the research group.
• Important to determine how the examiner’s
“health” affected the students, and what to do
about it.
18. So… what’s next?
QaQ Techniques and Methodology
• Methods
– Investigate which quantitative and qualitative analysis methods could
be best suited for the available data
– Make modifications to the survey in order to gather data more
accurately
• Proposed Methodology
– Do the survey again, with updates.
– Define a new method using the results of the survey and by applying
the methods.
– Assess the results from the methods through a set of repertory grid
interviews as a cross-validation test.
• Enhanced Survey
– Will make available, together with analysis, in a publication.
19. Thank you!
Questions? Constructive Comments?
Want to help? Or buy me a beer? Get me a date?
luigiv@kth.se
Good luck with the rest of your day!
(mine is already hopeless...)
20. References
[1] L. Vanfretti and M. Farrokhabadi, “Consensus-Based Course Design and Implementation of Constructive Alignment Theory in a Power
System Analysis Course”, European Journal of Engineering Education, 2014.
https://dx.doi.org/10.1080/03043797.2014.944101
[2] L. Vanfretti and M. Farrokhabadi, “Evaluating Constructive Alignment Theory Implementation in a Power System Analysis Course through
Repertory Grids”, IEEE Transactions on Education, vol. 56, no. 4, pp. 443 – 452, Nov. 2013.
DOI: http://dx.doi.org/10.1109/TE.2013.2255876
[3] L. Vanfretti and Federico Milano, “Facilitating Constructive Alignment in Power System Engineering Education using Free and Open
Source Software,” IEEE Transactions on Education, vol. 55, no.3, August 2012, pp. 309-318.
DOI: http://dx.doi.org/10.1109/TE.2011.2172211
[4] S. Taylor, “Managing postgraduate research degrees”. In H. Fry, S. Ketteridge and S. Marshall (eds) The Effective Academic: A Handbook for
Enhanced Academic Practice. London: Kogan Page.
[5] S. Taylor and N. Beasley. A handbook for doctoral supervisors. Routledge, New York, 2005.
Editor's Notes
Latin phrase from the Satires of Juvenal. Translated: who will guard the guardians? Or who can watch the watchmen?
From wikipedia:
Used generally to consider the embodiment of the philosophical question as to how power can be held into account.
One of Socrates' interlocutors in the Republic, Glaucon, even goes so far as to say "it would be absurd that a guardian should need a guard.”
But Socrates returns to this point at 590d, where he says that the best person "has a divine ruler within himself," and that "it is better for everyone to be ruled by divine reason, preferably within himself and his own, otherwise imposed from without.”
Question:
Should we blindly trust our own divine ruler?
How can be ourselves assure that we are ruled by our own divine reason?