PESS + PELSS 2022 – Power and Energy Student Summit

Conference Proceedings, 2 – 4 November 2022 in Kassel, Germany

Cite this publication as

Universität Kassel (Hg.), Hochschule Bonn-Rhein-Sieg (Hg.), Frauhofer IEE (Hg.), PESS + PELSS 2022 – Power and Energy Student Summit (2023), VDE Verlag, Berlin, ISBN: 9783800760145

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Description / Abstract

or the first time, the Power and Energy Student Summit and the Power Electronics Student Summit PESS & PELSS 2022 take place as a joint professional international conference specifically aimed at master and PhD students. The main focus is on the fields of electrical power engineering and power electronics. The conference allows students to gain first experiences in writing, publishing and discussing their own publications in front of a professional audience.
This year’s conference consists of an engaging program with one keynote lecture, 30 paper presentations, networking activities and social interaction. Best paper and presentation awards are evaluated.

The PESS & PELSS 2022 is jointly organized by the department of Energy Management and Power System Operation of the University of Kassel, the Fraunhofer Institute of Energy Economics and Energy System Technology (Fraunhofer IEE), the Professorship for eMobility and electrical Infrastructure of the Hochschule Bonn-Rhein-Sieg University of Applied Sciences and the VDE Young Energy Net. It is supported and sponsored by the IEEE PES Germany Chapter, the IEEE IES/IAS/PELS German Chapter, CIGRE SC6 Germany, CIGRE Next Generation Network VDE ETG, IEEE Power Electronics Society, IEEE Industry Applications Society, IEEE Power & Energy Society, and sponsored by OPAL-RT Germany GmbH, EAM Netz GmbH, Infineon Technologies AG, SMA Solar Technology AG, Egston Power Electronics GmbH and TransnetBW GmbH.

Table of content

  • PESS + PELSS 2022
  • Organizers / Supporters / Sponsors
  • Titlepage
  • Imprint
  • Welcome
  • Conference Topics
  • Conference Chairs
  • Organizing Team
  • Contents
  • 1 Paper Session I: Power Converter and Electrical Machine Control Strategies
  • 1.1 Use of Single Board Computers in Hardware-in-the-Loop Systems for Education in Renewable Energy Systems
  • 1.2 Controller Parameterization for Grid-connected Power Converters through Reinforcement Learning
  • 1.3 Asymmetric and Confined Operation of a Generic Virtual Synchronous Machine
  • 1.4 Investigation of Estimation Algorithms as an Alternative to Distance Sensors in Wind Turbines
  • 1.5 Comparative Evaluation of Control Strategies for Shunt Active Power Filters in Industrial Power Systems
  • 1.6 Grid-forming Fuel Cell System for a Multi-Energy-Micro-Grid in Island Operation
  • 2 Paper Session II: Real-time Simulation, Testing and Protecting
  • 2.1 Current Limiting and Virtual Synchronous Machines on Unbalanced Faults Considering Grid Protection
  • 2.2 A Generic Data Generation Framework for Short Circuit Detection Training of Neural Networks
  • 2.3 Simulation of Cross-sectoral Energy System on a Real-time Computer
  • 2.4 A Python Test Environment for Multi-Agent Systems in a Large Electrical Distribution Grid Model
  • 2.5 Conformity Investigation of Type 3 Doubly Fed Induction Generator Wind Power Plant Regarding Grid Code Compliance Test
  • 2.6 Evaluation and Test of Distance Protection in Cellular Energy Systems by Power Hardware in the Loop Method
  • 3 Paper Session III: Power Electronics Topologies, Components and Behaviours
  • 3.1 Design of a PV-Micro Inverter with Universal Three-Phase and Single-Phase Output Configurations
  • 3.2 On the Modeling of Nonlinear Electrical Conductivity and Field Distribution of Mineral Oil under HVDC-Load
  • 3.3 Non-invasive Alternating and Direct Flux Sensor for Power Transformers
  • 3.4 Scalable Battery Cell Cascaded H-bridge Converter
  • 3.5 A Study on Behavioural Changes on High Voltage Capacitors in Power Electronics Applications
  • 4 Paper Session IV: Grid Operation and Control
  • 4.1 Modelling the Influence of Virtual Inertia in Distribution Systems on Frequency Stability
  • 4.2 Analytical Threat Modeling for Power Systems
  • 4.3 Deep Neural Networks for Short-term Multivariate Solar Power Predictions from Various Meteorological Forecast Data
  • 4.4 Influence of GIC Related Reactive Power Demand on the Austrian Transmission Grid
  • 4.5 Distinction Between ”Destructive” and ”Constructive” Harmonic Currents to the Voltage Quality
  • 4.6 EMT-Simulation of Grid-forming Converter with Voltage Angle Control
  • 4.7 Time Series Data Splitting for Short-Term Load Forecasting
  • 5 Paper Session V: Grid Planning
  • 5.1 Methods for Identifying Relevant Grid Areas for the Integration of Distribution Grid Automation Systems
  • 5.2 Comparison of Methods for Reducing the Complexity in Determination of Grid Reinforcement Demands
  • 5.3 Open Electrical Grid Model for Regional Transmission Networks
  • 5.4 Relevance of Unbalanced Loads in Low Voltage Grids in the Context of Emerging Electromobility
  • 5.5 Hydrogen Pipeline Network Design: An Optimization-based Planning Method Considering the Existing Natural Gas Network
  • 5.6 Optimization of the Electricity Market Participation by a Waste Incineration CHP Plant with a Battery Energy Storage System
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