Tutorials

EnergyCon2018 offers four half-day tutorials. All tutorials will take place on Sunday, the 3rd of June. Interested participants are encouraged to register as soon as possible because there is a restriction of at least 10 participants per tutorial for the tutorial to be given. Detailed information about the topic, syllabus and short bios of the speakers are given bellow. The registration fee is €100 per tutorial.

Tutorial 1 – Unlocking the potential of smart meter data via energy analytics

Tutorial will run in the morning of June 3, 08:30-12:30

Speakers: Dr. Vladimir Stankovic and Dr. Lina Stankovic, Dept. Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK

Abstract: The aim of the tutorial is to shed light on how to ‘unlock’ smart meter data and present state-of-the-art energy analytics approaches for extracting meaningful information from the vast amount data. The focus will be on energy disaggregation, that can turn smart meter data into rich information, which can support various large-scale consumer behavior studies, energy demand assessment, appliance and food life cycle assessment (LCA), and remote healthcare. Other topics that will be covered include energy data pre-processing and management, appliance mining, activity recognition and security, energy data for LCA.

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Bio of the speakers:
Dr Vladimir Stankovic (https://www.strath.ac.uk/staff/stankovicvladimirdr/ ) is a Reader with over 15 years of research experience. Prior to joining Strathclyde, he was a research assistant professor at Texas A&M University, College Station, and Lecturer at Lancaster University. He has co-authored 60 peer-reviewed journal papers, over 100 papers in peer-reviewed conferences (h-index 30, Google scholar), and has been awarded 5 patents. He is Editor-At-Large of IEEE Trans Communications and Area Editor of Elsevier Signal Processing: Image Communications Journal. He is General Chair of IEEE MMSP-2017, and was TPC Chair of Eusipco-2012 and Symposium Chair of IEEE SmartGridComm-2013. His latest research is focused on applications of graph-based signal information processing tools on energy disaggregation, smart buildings, and assisted living. Vladimir was IEEE SmartGrids Standards Committee member and is a Senior Member of IEEE.

Dr Lina Stankovic (https://www.strath.ac.uk/staff/stankoviclinadr/ ) is Senior Lecturer and Senior Member of IEEE, with 31 peer-reviewed journal papers, 4 book chapters and over 90 conference papers. She obtained her PhD in 2003. Prior to joining Strathclyde, she was a research associate and Lecturer at Lancaster University. She was tutorial co-chair for EUSIPCO 2009. She was Editor for the Elsevier Int. Journal of Electronics and Communications. Her latest research focus is on advanced energy analytics. She has led energy monitoring field trials in the UK and released two unique smart-meter type electrical load measurement datasets – details published in Nature’s Scientific Data. She is a regular reviewer for PES journals and conferences on energy disaggregation. She has given multiple invited talks on energy analytics for smart homes and buildings at the NILM workshop, energy feedback symposia, Int. Energy Agency and academic institutions worldwide.

Syllabus
1. Introduction to Smart Metering and smart meter data types and formats.
A brief overview of energy efficiency targets and the smart metering programme in Europe and beyond will be given in the context of smart cities. Industrial outlook: with set climate change targets and new energy efficiency polices, the market for energy services is booming. Difference in data formats and sampling rates will be given. Potential applications will be highlighted and how the data will be used for these services. Several open source energy datasets will be reviewed.
2. Energy disaggregation.
The topic will start with motivating energy disaggregation and different types of energy disaggregation. The focus will then turn to Non-intrusive appliance load monitoring (NILM). A brief historical overview will be given followed by different classifications of NILM.
3. Analytical methods for NILM.
This topic will cover various data processing and machine learning approaches used or suitable for NILM ranging from those traditionally used, such as Hidden Markov Model (HMM)-based, decision trees, kNN, support vector machines, to more recent and ones, such as deep learning and graph signal processing.
4. Smart meter energy analytics beyond NILM.
This topic will present latest research on smart meter energy analytics for various tasks. First, methods for recognizing activities of daily living using smart meter data will be presented and their potential applications for activity-based energy feedback, and remote healthcare. Then, how to use smart meter data for food life cycle assessment will be presented. Finally, topics such as appliance minding and load forecasting will be presented.
5. Conclusion and open problems.
The final part will summarize the covered material and discuss in more detail a large potential of smart meter data in energy sector and beyond. Topics such as home security (what can be detected from smart meters), behavior analysis, and consumer study applications will be covered. Finally, open research questions and emerging industrial interest in the area will be highlighted.

Tutorial 2 – Resiliency in smart distribution systems

Tutorial will run in the morning of June 3, 08:30-12:30

Speakers: Dr. Anurag Sharma, Department of Electrical Power Engineering, Newcastle University, Singapore, and Sayonsom Chanda, Power Systems Research Engineer, Idaho National Laboratory, Idaho Falls, USA

Abstract: This tutorial will address the issues and highlight techniques to enable grid resiliency. The resiliency of the grid is not defined only on the basis of its ability to restore the system as soon as possible, but it also includes the ability of the grid to anticipate faults and resist discontinuity of power supply to critical loads. Thus, it is important to first decode the term resiliency for a distribution system and then suggest techniques to quantify and enhance the resiliency of the grid. The task becomes more challenging if distributed energy resources such as distributed generation (DG), battery energy sources (BES), and electric vehicles (EVs) are considered.

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Bio of the speakers:
Dr. Anurag Sharma received Bachelor’s Degree in Electrical Engineering from Malaviya National Institute of Technology (MNIT) Jaipur, India, and the PhD degree from Department of Electrical and Computer Engineering, National University of Singapore (NUS). He is currently Assistant Professor at Electrical Power Engineering at Newcastle University, Singapore campus. Before joining Newcastle University, he worked as a Research Engineer at Energy Management and Micro-grid Lab @ NUS. His main research interests include: fault management, service restoration in distribution systems, energy management in Micro-grids, Distributed energy resources - integration and their application for various ancillary services, multi-agent system application in power systems.

Sayonsom Chanda is working as a Research Engineer at Power and Energy Systems Real-Time Laboratory within Idaho National Laboratory at Idaho Falls, Idaho, USA. His research builds on his passion to create and maintain resilient and sustainable critical infrastructure that lays foundation for modern economies. He has co-authored multiple IEEE journal papers on quantifying and measuring resilience of power grids, and co-editing a compendium on Resiliency in Power Distribution Systems (Wiley, 2018). He is currently serving as the Vice President of IEEE Young Professional Society (PES sub-group). He received an MS in Electrical Engineering from Washington State University, and registered as a professional engineer-in-training in the state of Idaho.

Syllabus
1. Definition and Quantification of grid resiliency
In this session, we will discuss industry-wide working definitions of power distribution system resiliency and state-of-the-art approaches being used by industries and utilities world-wide to design and operate resilient distribution systems. We will discuss in great depth means to alleviate stress and vulnerabilities in modern distribution system operation by quantifying resilience of the distribution system in real-time and using it as an optimization parameter. We will also introduce the audience to how the notion of resilience differs from reliability. In particular, we will derive and explain how resilience metrics can be computed in real-time using Choquet Integral, and multi-criteria decision-making methods, such as Analytical Hierarchical Processing. At the end of the tutorial, the audience will be able to have an in-depth understanding of power system resilience, and will be equipped with technical knowledge to implement resilience metrics to operate power distribution systems more efficiently, while dynamically protecting the systems from unforeseen stress or operating conditions imposed due to strong weather events, or cyber-attacks.
2. Enabling grid resiliency
This session will present techniques to enable grid resiliency. Specifically, it will highlight a self-healing technique for smart distribution systems in an uncertain environment, in the presence of various distributed energy resources such as DGs, BES, and EVs. The use and importance of decentralized multi-agent system approach will be discussed due to the time critical decision-making required for this problem.

Tutorial 3 – Application of Wind Generation Systems to Weak Networks – Design Considerations

Tutorial will run in the afternoon of June 3, 13:00 - 17:00

Speaker: Dr. Rene Rossi, R. Rossi & Associates Consulting Engineers Pty. Limited, Australia

Abstract: The application of wind generation systems throughout the world has been extensive, especially when interconnected to very robust network. Yet the application of wind generation system to weak networks has not been that predominant given the limitations imposed by the network operators, the remoteness of such applications in some cases, stability issues and other limiting factors. In many instances, not enough analysis is done to understand the implications of such installations especially when applied to networks with large industrial loads (unstable loads). Computer models are essential for this analysis.

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Bio of the speaker:
Dr. Rene Rossi obtained a BSEE (University of Arizona), MSEE and PhD (Curtin University), Post Graduate Diploma in Mining Engineering (Kalgoorlie School of Mines). He has been in the heavy industry for the past 42 years, the last 20 years as a consultant, all in Australia. His work includes providing advice and solutions to the heavy industry in the areas of power generation, transmission and distribution systems, renewable energy systems, protection coordination, stability issues, quality of supply etc. His areas of research interest include the application of renewable energy systems to remote and weak networks, islanded systems, and stability analysis.

Syllabus
1. Introduction to weak networks, definitions, typical cases
This section will review typical weak networks and why these are catalogued a such. In addition, we will review what makes these networks weak.
2. Modelling of Wind Generation System and Networks
This section will review issues associated with the modelling of wind generation equipment, modelling of complete networks and the level of detailed required to obtain accurate results. The discussion will be centered on the modelling requirements based on expected results and what are we looking for to limit the limitations of such networks.
3. Transient Stability Issues and Computer Model results
A review of the most important issues associated with transient stability (mathematical) will be discussed and computer model results of such simulations are to be presented and reviewed as applied to weak networks with wind generation. A review of possible maximum number of wind generators on weak networks will be assessed.
4. Resonance Cases
The application of wind generation to weak and/or islanded networks that make use of power quality devices (i.e. harmonic filters, PF correction) will be reviewed. Resonance issues will be discussed and modelled.
5. Protection Coordination Issues
A general discussion on the application of protection relays will be reviewed for these cases and options considered.
6. Conclusions, discussions and closure.

Tutorial 4 – Control and topologies of modern power electronics converters in renewable energy sources and smart-grids

Tutorial will run in the afternoon of June 3, 13:00 - 17:00

Speaker: Prof. Mariusz Malinowski, Institute of Control and Industrial Electronics, Warsaw University of Technology, Poland

Abstract: This tutorial aims at presenting an introduction on PWM converters for renewable energy sources and smart-grids, that can be more efficient, reliable, cheaper and smart with proper design of converter topology. Furthermore, application and new advanced control and modulation techniques will be explored. This work is motivated by the fact that during the last years, PWM converters have drastically increased their importance on the market of DC-AC, AC-DC and DC-DC conversion. Two technology breakthroughs of the electronic industry enabled this remarkable development:
- the introduction of semiconductors on the market enabled the manufacturing of reliable, robust and low-cost converter modules,
- the introduction of low cost microprocessors (e.g. DSPs) and FPGA for real time applications allowed the successful implementation of complex vector control schemes.
Lately the PWM converters become very important for integration of renewable energy to the distributed energy systems. They offer characteristics like: Maximum Peak Power Tracking (MPPT), excellent control of induction or permanent magnets synchronous generator, a low harmonic distortion of the line currents, a regulation of the power factor, an adjustment and stabilization of the DC-link voltage.

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Bio of the speaker:
Prof. Mariusz Malinowski (S’99, M’03, SM’08, F’13) received the Ph.D. and D.Sc. degrees in electrical engineering from the Institute of Control and Industrial Electronics, Warsaw University of Technology (WUT), Warsaw, Poland, in 2001 and 2012, respectively. He was a Visiting Scholar at Aalborg University, Aalborg, Denmark; the University of Nevada, Reno, NV, USA; the Technical University of Berlin, Berlin, Germany; and ETH Zurich, Zurich, Switzerland. He is currently with the Institute of Control and Industrial Electronics, WUT. His current research interests include the control and the modulation of grid-side converters, multilevel converters, smart grids, and power-generation systems based on renewable energies. He has co-authored over 130 technical papers and six books (publications are cited over 8000 times). He holds two implemented patents. Prof. Malinowski was the recipient of the Siemens Prize in 2002 and 2007; the WUT President Scientific Prize in 2015; the Polish Minister of Science and the Higher Education Awards in 2003 and 2008; the Prime Minister of Poland Award for Habilitation in 2013; and the IEEE Industrial Electronics Society (IES) David Irwin Early Career Award in 2011 and Bimal Bose Energy Systems Award in 2015. His industry application received several awards and medals, the Innovation Exhibition in Geneva in 2006 and the Exhibition in Brussels” Eureco” in 2006.

Syllabus
1. Introduction
This part covers the general aspects of Renewable Energy Sources (RES) such as: geothermal, waves, solar, wind. Then vision for the future electrical network will be given with details about wind Turbines (WT), wind power basics, types of wind turbines (WT), generators and energy conversion from RES (high power WT connection, low power WT connection and PV panels connection).
2. AC/DC converters for RES and smart-grids
This section focuses on two major aspects concerning the AC/DC conversion from RES and the smart grids such as: (a) Algorithms for Maximum Peak Power Tracking (MPPT) and a comparison between them. The following algorithms will be detailed and explained: MPPT algorithms based on Pm(ω), MPPT algorithms based on λopt, and Incremental MPPT algorithms; (b) Control of full bridge three-phase AC/DC converter. The following two control strategies will be detailed: field oriented control (FOC), and direct torque control (DTC).
3. DC/AC converters for RES and smart-grids
This section will cover the most common single and three-phase converters. On the single-phase converters designs of the classic single-phase converters and the cascade multilevel converters will be given. On the three-phase converters a brief overview of the classic three-phase multilevel converters and recent advances in three-phase multilevel converters will be explained (two-level converter versus three-level npc converter). Then modulation and control strategies for the two categories of converters will be briefly introduced.
4. LCL filter design and active damping (AD)
This section will cover passive damping and LCL filter design as well as the active damping (AD) methods (AD basics, AD based on Lead-Lag compensator, AD based on Virtual Resistor, AD method based on band-stop filters and AD method based on high-pass filter).
5. Industrial applications
This last section will provide a summary of examples of industrial applications where the above presented designs and methods are encountered.