Tutorials

Presenters

• Dr Yitian Dai
• Dr Eduardo A. Martínez Ceseña
• Dr Robin Preece
• Dr Mathaios Panteli

Abstract

The effective planning and operation of emerging power systems is being challenged by the large scale integration of Low Carbon Technologies (LCTs) (e.g., multi-energy technologies, and intermittent Renewable Energy Sources (RES)) and threats of extreme weather shocks, e.g., windstorms, and long periods with little RES generation. This is driving research in novel approaches and metrics to develop future net zero and resilient energy systems.

This tutorial presents leading international research on (i) representation of extreme weather shocks, (ii) capturing impacts of shocks on LCT-rich energy systems, (iii) energy systems resilience quantification, and (iv) resilience enhancement measures assessment. The tutorial provides several case studies and interactive open-access examples (in python) from prominent projects led by the Universities of Manchester and Cyprus.

Structure
Part 1: Energy system resilience: Concepts and current research

• 5 min: Introduction to part 1
• 10 min: Definitions of energy system resilience and existing metrics
• 25 min: Extreme weather shocks and their impacts on power systems
• 25 min: Emergence of Low Carbon Technologies (LCTs)
• 25 min: Assessment of resilience measures
• 15 min: Summary, concluding remarks and Q&A

30 min: Break

Part 2: Energy system resilience: Examples with data notebooks

• 5 min: Introduction to part 2
• 30 min: Modelling of extreme weather shocks based on stochastic

models and historical data

• 30 min: Modelling integrated LCTs, including multi-energy virtual power

plants and microgrids

• 30 min: Assessing resilience in energy systems with high integration of

LCTs.

• 10 min: Summary, concluding remarks and Q&A

Additional information

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Short Biographies

Dr Yitian Dai received the B.Eng and Ph.D. degrees in Electrical and Electronic Engineering from The University of Manchester in 2019 and 2024, respectively. She is currently working as a Research Associate with the Supergen Energy Networks Hub at The University of Manchester. Her research interests include cascading blackout analysis and resilience assessment of future low-carbon energy systems.

Dr Eduardo Alejandro Martínez Ceseña is a Lecturer in multi-energy systems in the Department of Electrical and Electronic Engineering at The University of Manchester, as well as a member of the Tyndall Centre for Climate Change Research. Dr Martínez Ceseña has co-authored over 60 research papers in high- ranking journals and international conferences, and has participated in a wide range of UK and international research projects led by both academia and industry, including TERSE (EPSRC), FutureDAMS (ESRC), Smart Street (LCNF), Forward Resilience Measures (NIA), WELLNESS (SIF), ADDRESS (FP6), DIMMER (FP7), TRANSIT (H2020) among others. These projects cover key energy topics associated with the development of the future net-zero energy systems, such as power system operation, economics and planning, business model, integration of multi-energy distributed energy technologies, and energy system resilience in consideration of deep uncertainty such as from extreme events.

Dr Robin Preece is a Reader in Future Power Systems and Head of the Power System Group at The University of Manchester, where he has been an academic since 2014. Since then, he has helped to secure over £8 million in research funding for The University of Manchester. Dr Preece has published more than 100 international peer-reviewed papers in numerous different top-tier journals and at conferences. His research is focussed on the dynamic stability and resilience of power systems with large quantities of power electronics and in quantifying the impacts of uncertainties and variability on network performance. He has presented his research at major international conferences hosted by the IET, IEEE, IFAC, and Cigré.

Mathaios Panteli holds an Assistant Professor position within the KIOS Research and Innovation Centre of Excellence, Department of Electrical and Computer Engineering, University of Cyprus (UCY). Through his academic career, Mathaios has successfully developed a multi-million research portfolio in the area of resilient low-carbon energy systems, attracting funding from research councils, industry, and European Commission. He has published over 100 research articles in high-impact peer-reviewed journals and conference proceedings, and has delivered several invited presentations to conference panels, industrial organizations, regulatory bodies and investment banks (e.g., World Bank). Mathaios is an IEEE Senior Member, an IET Chartered Engineer (CEng), the Chair of the CIGRE working group C4.47 “Power System Resilience” and the CIGRE Cyprus National Committee, an invited member of multiple IEEE, CIGRE and CIRED working groups, and a Fellow of the Higher Education Academy (UK). He is the recipient of the prestigious 2018 Newton Prize and he led the team receiving the 2022 Innovation Radar Prize by the European Commission. He was also recognized for 4 consecutive years since 2020 as a highly cited researcher by Elsevier BV and Stanford University.

Presenters

Jeremy Lin

Abstract

Electricity markets in the US have been in existence for over two decades. Although those markets went through trials and tribulations at the beginning of their journey, they have been well run for many years. Electricity markets in the US include capacity market, energy market, ancillary services markets, in conjunction with secondary markets such as renewable energy credits (REC) markets and bilateral markets. Those markets have been running so well for the past decade that they are reaching a steady-state equilibrium. On the surface, it appears that no changes are needed in these markets for the foreseeable future.

However, in parallel, there are fundamental shifts and changes going on in the power grid. Clean energy goals, which push for the integration of more renewable energy resources, including the growing call for carbon pricing, the exponential growth of distributed energy resources (DER), which triggers federal rules giving DERs an opportunity to participate in the current wholesale markets even if they are located behind-the-meter (BTM), the potential emergence of Distribution System Operator (DSO) types of entities, system resilience and even market design changes such as in Texas market, are some of the significant developments that can shape the landscape of both the power grid and power markets.

The outburst of renewable energy growth has a significant impact on both the power grid operation and market design because the probabilistic nature and uncertainty created by the uncertain output by these variable energy resources has created some challenges to the power system planning and market operation. To deal with those issues, electricity markets such as Cal-ISO and MISO have come up with flexible ramping products and operating reserve products to manage those uncertainties.

Structure

In this tutorial, the first topics to cover include the drivers for the development of electricity industry restructuring in the US, the development of electricity markets, and the descriptions and functions of various markets. Later topics include the fundamental changes in the power grid in terms of transmission, generation, environmental and technologies, and how these developments are affecting the rethinking of the existing market designs and subsequent market operation. The latest developments on these fronts at the relevant electricity markets will be presented at the second part of the tutorial.

Additional information

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Short Biographies

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Presenters

Alexis Montoison
François Pacaud
Sungho Shin

Abstract

GPUs have emerged as a powerful resource for scientific computing, in particular to accelerate parallel workflows. So far, GPUs have been primarily utilized for accelerating dense linear algebra operations within large machine learning model training. However, the performance of GPU-accelerated sparse linear solvers are also fast improving, providing the opportunity to speed-up the optimization workflows for power systems. In our recent work, we have shown we can harness the power of GPUs to solve large-scale optimal power flow instances. Our results on a synthetic benchmark (PGLIB) have demonstrated we can achieve a ten-fold speed-up when solving a problem with up to 78,000 buses. The benefits for the power system community are multiple, from solving large-scale security-constrained optimal power flow (SC-OPF) to including the system’s dynamics in the operations (multiperiod OPF).

In this half-day tutorial session, we propose to cover a general overview of the current state-of-the-art in GPU-accelerated optimization for power system optimization. The tutorial will be divided into two blocks: the first block will focus on detailing the current state of sparse linear algebra on GPU, and the second block will detail how to solve a large-scale OPF using ExaModels and MadNLP. We will put a particular emphasis on keeping the session interactive and will provide a notebook so they can test live the different ideas exposed during the tutorial.

Structure

We propose a half-day tutorial targeting the solution of large-scale OPF on GPUs. The 4-hour tutorial will be organized in two blocks.

Block #1 (1h30): Solving the load flow equations on the GPU

1. How to leverage numerical linear algebra on GPUs?
2. Overview of the existing technologies (CUDA, AMDGPU)
3. Sparse direct solvers: state-of-the-art (NVIDIA cuDSS)
4. Iterative methods (Krylov.jl)
5. Strength & bottlenecks of both approaches (accuracy, robustness, speed)
6. How to port Newton method on the GPU?
7. Presentation of a GPU-accelerated Newton solver. This example will be used later, as the interior-point method can be interpreted as an extension of Newton’s method for optimization problems with inequality constraints.
8. Illustration: solving the load flow equations in batch on the GPU

Break (30mn)

Block #2 (2h00): Solving the optimal power flow problem on the GPU

1. How to solve large-scale nonlinear programs on the GPU?
2. Basic recall of nonlinear programming
3. The importance of sparsity
4. Fast evaluation of derivatives using ExaModels
5. Condensation strategies in nonlinear programming (Lifted KKT and HyKKT)
6. How to solve large-scale optimal power flow instances?
7. Formulation of the optimal power flow problem in ExaModels
8. Solution with the GPU-accelerated MadNLP solver

We will create interactive tutorials written in Julia. The goal is to empower the participants, so they can test on their own the ideas exposed during the tutorials. We will encourage the participants to bring their own problems (in MATPOWER or in PSSE formats). The interactive tutorial will be written as a set of notebooks (using Jupyter) and hosted remotely (on Google Collab or on our own server).

Additional information

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Short Biographies

Alexis Montoison is a postdoctoral researcher in the Mathematics and Computer Science division at Argonne National Laboratory. He received his Ph.D. in applied mathematics from Polytechnique Montréal in 2023. His research focuses on developing high- performance algorithms for sparse linear algebra, continuous optimization, and automatic differentiation, with an emphasis on multi-architecture compatibility across CPUs and GPUs.

François Pacaud is an assistant professor at Mines Paris-PSL, in the Centre Automatique et Systèmes (CAS) since 2022. He obtained his M.Sc. in 2015 from Mines Paris-PSL, and in 2018 his Ph.D. in applied mathematics from the École des Ponts ParisTech, Paris, France. He was a postdoctoral fellow in the Computer Science Division at Argonne National Laboratory between 2020 and 2022. He specializes in nonlinear optimization and numerical analysis, with application in energy systems.

Sungho Shin received a B.S. degree in chemical engineering and mathematics from Seoul National University, Seoul, South Korea, in 2016. He received a Ph.D. degree in chemical engineering from the University of Wisconsin-Madison, Madison, WI, USA, in 2021. He is currently an assistant professor in the Chemical Engineering Department at Massachusetts Institute of Technology. Prior to joining MIT, he was a postdoctoral researcher at the Mathematics and Computer Science Division of Argonne National Laboratory. His research interests include control theory and optimization algorithms for energy systems.

Presenters

Dr Mehdi Ghazavi Dozein, Lecturer (Assistant Professor) in Power and Energy Systems, Monash University, Australia
Dr Marc Cheah Mañe, Associate Professor, CITCEA-UPC, Barcelona, Spain

Abstract

There are major discussions worldwide on how the production of clean fuels, such as hydrogen, could facilitate the whole-energy system decarbonization. From a power system perspective, green hydrogen production results in massive grid integration of electrolyzers, that needs to be considered in power system analysis. This tutorial presents the modelling foundations of utility-scale hydrogen electrolyzers with alkaline and proton exchange membrane (PEM) technology, including electrolysis stack models, power electronics interface (PEI) and control, thermodynamics, hydrogen production formulations, operational constraints in downstream hydrogen process/buffer, and operational constraints on the electrolysis stack technologies, required for system-level steady-state and dynamic studies in both transmission and distribution grids. Possible PEIs for grid integration of electrolyzers will be discussed, along with the associated control schemes. It will be discussed how and to what extent electrolysis plants could impact system stability and operation, from both steady-state and dynamic perspectives.

Structure

1. Hydrogen electrolyzers in power system studies: Overview (30 minutes)
2. Modelling of electrolysis stack (PEM and alkaline technologies) for dynamic studies: Physical characteristics and operation constraints (5 hour)
   • Electrolysis stack modelling modelling
   • Hydrogen production sub-model
   • Thermodynamics of electrolysis technologies
   • Stack voltage-current-efficiency nonlinearities
   • Stack partial loading limit
   • Ramp rate limits of electrolysis stack technologies

3. Steady-state modelling of electrolysis plants (30 minutes)
   • Active power model
   • Reactive power model and grid-code requirements on voltage/reactive power compliance
   • Hydrogen storage system model

4. Power-electronics interface and control of electrolyzers in system dynamic studies (5 hours)
   • Power-electronics interfaces and grid connection options for electrolysis plants
   • –Distribution-connected electrolysis plants
   • –Transmission-connectec electrolysis plants
   • –Electrolyzers in DC/AC microgrids
   • Grid-following control
   • Virtual synchronous machine control
   • Grid-forming load concept and its application to hydrogen electrolyzer control
   • Partial load limit modelling of electrolysis plants
   • Ramp rate limit modelling of electrolysis plants

5. System support services from electrolyzers: modelling, benefits, and challenges (5 hours)
   • Voltage control, reactive power support, and power factor control
   • Frequency support services, including virtual inertia, fast frequency response, and frequency regulation
   • Grid-forming services
   • Potetnial impacts of physical/operational constraints of electrolysis plants on their capabilities in providing system support services

6. Real-life examples and numerical/simulation-based exercises (5 hour)
7. Concluding remarks and final Q&A (1 hour)

8 hours in total

Additional information

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Short Biographies

Dr Mehdi Ghazavi Dozein received M.Sc. degree from University of Tehran and Ph.D. degree from The University of Melbourne. After PhD graduation, he worked for two years as an Associate Lecturer in Power Systems with the Department of Electrical and Electronic Engineering, Faculty of Engineering and IT, The University of Melbourne. He is currently a Lecturer (Assistant Professor) at Monash University, Australia. His research interests include power system dynamics and stability, and modelling and control of inverter-based technologies and hydrogen electrolysis plants. Mehdi is a Senior Member of IEEE and an active panel member of Australian CIGRE C4 on Power System Technical Performance.

Dr Marc Cheah-Mane received the degree in industrial engineering from the School of Industrial Engineering of Barcelona (ETSEIB), Universitat Politecnica de Catalunya (UPC), Barcelona, Spain, in 2013, and the PhD degree in electrical engineering from Cardiff University, Cardiff, the U.K. in 2017. From 2017 to 2020 he was a research associate in CITCEA-UPC, Barcelona, Spain. From 2020 to 2024 he started as a Lecturer under the Serra Hunter program at the Electrical Engineering Department of UPC and since 2024 he is Associate Professor. Since 2022 he is co-founder of eRoots Analytics, which is a spin-off company of CITCEA-UPC. His research interests include power systems with power electronics, high-voltage direct current systems, AC/DC grids and grid integration of wind and photovoltaic generation.

Presenters

• Gert Mehlmann
• Sebastian Hubschneider
• Christian Scheibe
• Felix Wege
• Steffen Vogel
• Ilya Burlakin
• Bernd Schweinshaut
• Uwe Kühnapfel
• Julian Richter

Abstract

Real-time simulation is a crucial tool for de-risking new technologies before their deployment in the field. This is particularly important in power system engineering, where large-scale field tests are highly restricted due to the size of the systems under study and the potential interference with critical, infrastructure. Real-time simulation based on real-life power system models is playing an increasingly significant role, especially in the study of system stability in heterogenous grids. Due to the characteristics of these systems, stability studies are increasingly shifting from the transient time domain (RMS) into the time domain of electromagnetic transients (EMT). This raises a fundamental question: how can stability studies in large power grids be effectively conducted in the future? The tutorial provides insights into modeling and conversion of large power system models (offline to real- time, steady state to transients), RMS-EMT co-simulation and distributed real-time simulation.

Structure
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Additional information

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Short Biographies

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Presenters

Hendrik Maschke
Mike Vogt

Abstract

Pandapower is a Python-based, BSD-licensed power system analysis tool for automating static and quasi-static analysis of balanced power systems. It offers capabilities such as power flow, optimal power flow, state estimation, and short-circuit calculations per IEC 60909. With a Newton-Raphson power flow solver enhanced by just-in-time compilation, pandapower supports modeling of constant current loads and grids with multiple reference nodes. Its network model uses e lectric elements like lines and transformers, defined with nameplate parameters. Built on the pandas library, pandapower simplifies handling input and output parameters. Ideal for grid studies and education, pandapower provides a comprehensive case study for automated time-series calculations.

Structure

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Additional information

Discover the potential of pandapower for your power system analysis needs!
More information and get started here: https://www.pandapower.org/

Short Biographies

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Presenters

Antigona Selimaj, Fraunhofer Institute for Applied Information Technology FIT
Alexander Geiger, Fraunhofer Institute for Applied Information Technology FIT

Abstract

IEC 61850 is an international standard for communication in electrical substations and plays a crucial role in modern power system automation. It enables standardized data exchange between intelligent electronic devices (IEDs), ensuring interoperability, reliability, and efficiency across different manufacturers and system components. This training provides a comprehensive introduction to IEC 61850, covering its architecture, key communication protocols, and practical applications in substation automation. Participants will gain both theoretical knowledge and hands-on experience in configuring and implementing IEC 61850-based systems.

The training begins with an overview of the IEC 61850 standard, including its structure, benefits, and use cases in modern substations. Key communication protocols such as Manufacturing Message Specification (MMS) for supervisory control, Generic Object-Oriented Substation Events (GOOSE) for real-time protection and control, and Sampled Measured Values (SMV) for digital measurement data exchange will be explained in detail. Additionally, the role of the Substation Configuration Language (SCL), an XML-based format used for system configuration, will be covered to ensure a complete understanding of how IEC 61850 networks are designed and implemented.

A significant focus of the training will be on practical applications, including the configuration and parameterization of substation devices, hardware setup for station automation, and real-time communication using GOOSE messaging for interlocking functions. Through interactive exercises and hands-on tasks, participants will apply their knowledge in realistic scenarios, reinforcing their understanding of IEC 61850.

This training is designed for engineers, technicians, and professionals involved in substation automation, power system control, and protection technology. By the end of the course, attendees will have a solid foundation in IEC 61850 and be able to implement its concepts effectively in real-world substation environments, enhancing the efficiency and reliability of modern power grids.

Structure

00:00 – 00:15 Introduction to IEC 61850 and Its Importance. Overview of IEC 61850 and its role in substation automation. Key benefits including interoperability, efficiency, and reliability. Relevance in digital substations and smart grids.

00:15 – 00:45 IEC 61850 Communication Architecture. Explanation of the IEC

61850 Smart Substation Architecture. Overview of station, bay, and process levels. Data modeling and information exchange principles.

00:45 – 01:30 IEC 61850 Communication Protocols. MMS (Manufacturing Message Specification) for control system communication. GOOSE (Generic Object-Oriented Substation Events) for protection and control. SMV (Sampled Measured Values) for real-time measurement data. Practical examples of protocol usage in substation automation.

01:30 – 01:40 Short Break.

01:40 – 02:10 Substation Configuration Language (SCL). Role of SCL in system configuration. Structure of an SCL file including ICD, SCD, and CID files. Practical example of defining a substation system.

02:10 – 03:50 Practical Applications of IEC 61850. Configuration and parameterization of IEC 61850 devices. Setting up hardware for station automation. Implementation of GOOSE messaging for interlocking functions. Hands-on exercises with example configurations.

03:50 – 04:00 Q&A and Closing Discussion. Summary of key learnings. Open discussion and Q&A session. Next steps and further learning opportunities.

Additional information

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Short Biographies

Antigona Selimaj holds a Master’s degree in Electrical Power Engineering from RWTH Aachen University and works as a research associate at Fraunhofer FIT and IAEW. Her focus is on protection systems, substation automation, and IEC 61850 applications. She has experience with GOOSE messaging, MMS communication, Sampled Measured Values (SMV), and Substation Configuration Language (SCL). Her work involves configuring protection and control devices and analyzing IEC 61850-based communication in substations. She is particularly involved in researching adaptive protection systems to address challenges posed by decentralized energy generation. Her expertise also includes the integration of IEC 61850 into existing grid infrastructure to improve automation and interoperability. In this training, she shares practical knowledge on IEC 61850 in protection systems, covering basic concepts, real-world applications, and exercises to help participants understand substation automation and protection systems.

Alexander Geiger holds a Master’s degree in Computer Science and a Bachelor’s degree in Electrical Engineering from RWTH Aachen University. As a research associate at the Center for Digital Energy, he focuses on the secure and efficient digitalization of energy grids. He has experience in interoperable data models, simulation-based test environments, and secure communication in energy systems. His work involves developing and verifying innovative control systems and exploring the role of artificial intelligence in energy automation. He gained professional experience in software development and operations at Ericsson and the legal tech startup Taxy.io, working on reliable and scalable digital solutions. In this training, he shares practical insights on digitalization in energy grids, with a focus on IEC 61850 data models, secure communication, and co-simulation approaches to ensure efficient and reliable energy grid automation.