Message from the Organizers
What will Europe’s energy system look like in 10 years? The 2030 targets for decarbonising the EU economy have been agreed. The transition is underway. The integration of renewable energy resources and turning the existing power system into a smart grid are among the top goals. The EU-funded ERIGrid 2.0 project will address the challenges of the energy transition by widening and advancing access to European research infrastructure. Serving as a single-entry point for researchers, engineers and practitioners who are active in smart grids and energy systems as well as the integration of renewables, the project will develop a broad spectrum of improved services, methods and tools based on the outcomes of the predecessor projects DERri and ERIGrid.
As a pan-European research infrastructure (RI), that integrates 21 first-class laboratories located in 13 European countries, ERIGrid 2.0 offers interested researchers, engineers, and practitioners free-of-charge access to laboratories and associated services along with logistical, technological and scientific support for their own experimental research.
This second user workshop provides the opportunity for six selected user groups (out of more than 100 realised access projects) to present their results and findings from the laboratory access program.
Chairs
J. Emilio Rodriguez and T. Strasser
Workshop Organizers
Chairs
- J. Emilio Rodriguez (TECNALIA Research & Innovation, Spain)
- Thomas Strasser (AIT Austrian Institute of Technology, Austria)
Organisation and Publicity Chairs
- Greta Meshi (European Distributed Energy Resources Laboratories e.V., Germany)
- Leonard Ramos (European Distributed Energy Resources Laboratories e.V., Germany)
Technical Committee
- Mihai Calin (AIT Austrian Institute of Technology, Austria)
- Joseba Jimeno (TECNALIA Research & Innovation, Spain)
- Santiago Sanchez Acevedo (SINTEF Energy Research, Norway)
- Salvatore d’Arco (SINTEF Energy Research, Norway)
- Ibrahim Abdulhadi (University of Strathclyde, UK)
- Zhiwang Feng (University of Strathclyde, UK)
- Andres Acosta (RWTH Aachen University, Germany)
Program Overview
Presentation 1
Title: Overview and Achievements of the Lab Access Program
Presenter: J. Emilio Rodriguez
Abstract: This talk provides an overview and achievements of the ERIGrid 2.0 Lab Access Program.
Presentation 2
Title: Overview and Achievements of the Virtual Access Program
Presenter: A. Acosta
Abstract: This talk provides an overview and achievements of the ERIGrid 2.0 Virtual Access Program.
Presentation 3
Title: Expansion of the initial Dynamic Model of CE with the Nordic power system and imple-mentation on OPAL-RT’s ePHASORsim (EDyMCE-Nord)
Presenter: Miguel Ramirez, Artjoms Obusevs
User Group: ZHAW Zurich University of Applied Sciences (Switzerland)
Host Lab: The National Smart Grid Laboratory (SINTEF), Norway
Abstract: This presentation summarizes the results of a research work carried out to expand the initial dynamic model of CE (IDMCE) with the Nordic power system model (NPSM) and an HVDC interconnection, and then to deploy the expanded model in the OPAL-RT simulation platform for potential transient stability studies considering HIL methods. According to this, three different implementation schemes were developed, including: 1) the assembling of the IDMCE, the HVDC link, and the NPSM altogether into one single system in PSS/E and then supplemented with an FMU based HVDC representation for compatibility reasons in ePHASORsim, 2) a local non-distributed co-simulation scheme with the IDMCE and the NPSM incorporated as one PSS/E model and the dynamics of an HVDC interconnection integrated through a Simulink model, and 3) a geographically distributed co-simulation approach considering two remotely located Real-Time Simulators (RTSs), where the IDMCE was executed with the RTS hardware in the Renewable Electrical Energy Laboratory of ZHAW (Winterthur, Switzerland) while the NPSM and HVDC model were run with the RTS equipment in the National Smart Grid Laboratory of SINTEF (Trondheim, Norway). The geographically distributed configuration provided a viable alternative for the real-time simulation of very large power systems, since limitations such as the size of the system that can be run in a particular target environment or the unavailability to share grid models due to non-disclosure agreements can be effectively overcome.
Presentation 4
Title: Measurement-based modelling, dynamic analysis and control of active distribution net-works: the iniTiate, DGNet and ProMiSe projects
Presenter: Theofilos Papadopoulos
User Group: Aristotle University of Thessaloniki/Democritus University of Thrace (Greece)
Host Lab: Dynamic Power Systems Laboratory (UoS), UK
Abstract: The advent of distributed renewable energy sources (DRESs) has led to the progressive transformation of traditional distribution networks to active components of the power system. This transformation, however, may jeopardize the reliable grid operation due to the advent of new technical problems. In this challenging scenery, the installation of modern measuring infrastructure has created new sources of data and information that facilitate the provision of ancillary services and operation of networks with tools via the measurement-based analysis. Within the iniTiate, DGNet and ProMiSe ERIGrid 2.0 projects innovative ancillary service solutions and modelling approaches have been developed and evaluated via Power Hardware-in-the-Loop (PHiL) testing. In more specific, reduced-order dynamic equivalent models for active distribution networks (ADNs) have been examined in iniTiate, while in DGNet grey-box equivalent models have been developed to analyse the steady-state characteristics of ADNs, equipped with frequency and voltage control schemes. Finally, ProMiSe introduced a new unified control architecture to mitigate overvoltage and unbalance issues in ADNs.
Presentation 5
Title: Wind power plants in dynamic states of the power grid (WindGrid)
Presenter: Tomasz Lerch
User Group: AGH University of Krakow (Poland)
Host Lab: Dynamic Power Systems Laboratory (UoS), UK
Abstract: The majority of photovoltaic systems, small wind turbines and approximately half of large wind turbines are connected to power grids via electronic converters, which regulate both active and reactive power. Such converters are capable of rapid adjustment of reactive power, thereby assisting in the stabilisation of grid voltage. This capability is of paramount importance in the context of grids with distributed generation. The presented method employs the reactive power generated by converters to compensate for voltage fluctuations in a dynamic manner, obviating the necessity for additional, costly equipment such as dynamic voltage restorers. By regulating the flow of reactive power, voltage fluctuations can be mitigated in real-time. Simulations in Matlab-Simulink and tests in a laboratory power hardware-in-the-loop system demonstrated the efficacy of the method, exhibiting rapid compensation with response times of approximately 100 ms. Despite constraints associated with the converter’s power capacity, the approach is promising due to the pervasive availability of converters in power networks.
Presentation 6
Title: Data Driven Detection of Malfunctioning Devices in Power Distribution Systems Validation (DeMaDsVal)
Presenter: David Fellner
User Group: AIT Austrian Institute of Technology (Austria)
Host Lab: Power Network Demonstration Center (UoS), UK
Abstract: As electricity grid operators encounter new challenges in grid operation due to profound changes in the electric energy system, such as decentralization of generation, also new methods to cope with these challenges are sought after. Therefore, an investigation of a concept for remote detection of malfunctioning grid-supporting devices is under development within the project. The operation of future electricity grids depends on the behavior of these devices and their support functions such as reactive power dispatch, used for example for voltage control. Using operational data of medium voltage transformers at first, as well as topological data and smart meter data at the low voltage level, the functionality developed is to enable better surveillance of grid-connected devices. This is to be achieved by combining machine learning algorithms for anomaly detection, classification, and load disaggregation. These are applied to the transformer data as well as to the device data to identify and classify unwanted behaviour. The aim is that the framework should be a future tool for grid operators and for cooperation with them to help them implement a central novel surveillance of low voltage grids regarding the connected devices. This framework will also be tested with some selected use cases in order to prove its usability. The data used will both be generated synthetic data from grid simulations as well as recorded data that can be gained in laboratory setups. The data collected in laboratory scenarios can then on the one hand be used to further enhance the quality of the synthesized data by comparing and filtering out possible influence factors that might have been neglected in the simulations. On the other hand, the data can be used as a validation set to validate the performance of the used machine learning methods. These are trained and tested on the synthetic data, making such a validation set very valuable to assess the robustness of the approach and also be able to further improve the same. Multiple scenarios and setups were implemented to capture various use cases under different circumstances. The outcomes of the work are therefore the collection of such a validation set of operational data of grid participants and substations in scenarios that involve misconfigurations of grid connected devices such as inverters, battery energy storages or controllable loads. This dataset as a main outcome was then be used to robustify and further develop the monitoring approach.
Presentation 7
Title: Fault Detection, Classification and Location in Distribution Networks: The FaulTS and HVLD projects
Presenter: Guilherme Freire
User Group: ENEIDA.IO (Portugal)
Host Lab: Power Network Demonstration Center (UoS), UK
Abstract: Fault management is a critical part of distribution network operation. In particular, fault detection and location speed up the service restoration process, enabling the Distribution System Operator (DSO) to act proactively, rather than depending on customer calls to the outage report line, thus improving KPIs such as Customer Minutes Lost (CML). Moreover, some fault types may also pose safety threats to bystanders, making it even more critical to act swiftly. In this presentation, we will be discussing two ERIGrid projects carried out by Eneida at PNDC: FaulTS and HVLD. The FaulTS (Fault TroubleShooter) project tested and validated a solution for Low Voltage (LV) short-circuit faut detection, classification and location using Eneida LV Monitors. We will briefly discuss the project results, next steps and opportunities for improvement. The HVLD (HV Line Down) project addressed a safety concern raised by Eneida’s clients, when HV overhead lines break and fall on the ground. If the contact with the ground is on the distribution transformer side, rather than the supply side, the fault current may be too low for HV protections to detect. In this case, the line will remain energized on the ground, posing an extreme safety hazard. In this project, we validated Eneida’s solution to detect, classify and locate this type of fault. We will briefly discuss the project results and next steps.
Presentation 8
Title: Resilient Power Inverter Network: A Hardware-in-the-Loop Simulation Case Study (RCPIN)
Presenter: Henrik Sandberg
User Group: KTH Royal Institute of Technology, Sweden
Host Lab: Smart Electricity Systems and Technologies Laboratory (AIT), Austria
Abstract: We present a study of the voltage regulation problem for an inverter-interfaced power distribution network that is subject to possible adversarial injections and/or severe fault scenarios. Different from the current literature, our aim is not just to regulate the voltage levels on the gridline within the prescribed range, but also to provide a measure of reliability for the safe operation of the grid with respect to such adversarial events. In that respect, we propose the framework of resilient control design which ensures safe operation of the grid under nominal conditions (with regard to the given voltage regulation objective) and, additionally, offers theoretical guarantees of finite time recovery following intermittent fault/ safety violations. To validate these claims, we test the proposed resilient controller on a dedicated testbed for power inverter networks at AIT and, through hardware-in-the-loop (HIL) simulation case studies, showcase the efficacy of the suggested control scheme.