IEET: Simon Stock

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Simon Stock

M.Sc.
Research Assistant

Contact

Simon Stock, M. Sc.

E-6 Elektrische Energietechnik

Elektrische Energietechnik

Office Hours

Jederzeit

Harburger Schloßstraße 22a,

21079 Hamburg

Building HS22a, Room 2.002

Phone: +49 40 42878 2378

E-mail: simon.stock@tuhh.de

Personal Homepage

Research Projects

Applications of AI in distribution system operation

Hamburg University of Technology (TUHH); Duration: 2020 to 2024

to the project page

VeN²uS

Networked grid protection systems - Adaptive and interconnected

VeN²uS

Networked grid protection systems - Adaptive and interconnected

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

to the project page

Research Focus

Optimal operation and energy managment in electrical distribution grids (Smart Grids) using artiﬁcal intelligence

Publications

TUHH Open Research (TORE)

2023

Reinforcement learning based coordination of virtual inertia provision from inverter-dominated distribution grids
Stock, Simon; Babazadeh, Davood; Hund, Philipp; Becker, Christian
32nd IEEE International Symposium on Industrial Electronics (ISIE 2023)
Publisher DOI
Bayesian physics-informed neural networks for robust system identification of power systems
Stock, Simon; Stiasny, Jochen; Babazadeh, Davood; Becker, Christian; Chatzivasileiadis, Spyros J.
IEEE Belgrade PowerTech (2023)
Publisher DOI

2022

Modelling the influence of virtual inertia in distribution systems on frequency stability
Hund, Philipp; Stock, Simon; Babazadeh, Davood; Becker, Christian
IEEE Power and Energy Student Summit 2022 and Power Electronics Student Summit: (2022)
Application of physics-based graph convolutional network in real-time state estimation of under-determined distribution grids
Stock, Simon; Dressel, Markus; Babazadeh, Davood; Becker, Christian
IEEE PES Innovataive Smart Grid Technologies Europe, ISGT Europe (2022)
Publisher DOI
Interconnected network protection systems - the basis for the reliable and safe operation of distribution grids with a high penetration of renewable energies and electric vehicles
Lorenz, Matthias; Pletzer, Tobias Markus; Schuhmacher, Malte; Sowa, Torsten; Dahms, Michael; Stock, Simon; Babazadeh, Davood; Becker, Christian; Jaeger, Johann; Lorz, Tobias; Dahlmanns, Markus; Fink, Ina Berenice; Wehrle, Klaus; Ulbig, Andreas; Linnartz, Philipp; Selimaj, Antigona; Offergeld, Thomas
CIRED Porto Workshop 2022: 548-552 (2022)
Publisher DOI
Real-time inertia estimation in an inverter-dominated distribution grid using a physics-informed recurrent neural network
Plant, Rebecca; Stock, Simon; Babazadeh, Davood; Becker, Christian
CIRED Porto Workshop 2022: 1403 (2022)
Publisher DOI

2021

Applications of artificial intelligence in distribution power system operation
Stock, Simon; Babazadeh, Davood; Becker, Christian
IEEE Access 9 : 150098-150119 (2021-11)
Open Access | Publisher DOI
A Modified Branch-Current Based Algorithm for Fast Low Voltage Distribution Grid State Estimation using Smart Meter Data
Ipach, Hanko; Stock, Simon; Becker, Christian
Von Komponenten bis zum Gesamtsystem fur die Energiewende (ETG-Kongress 2021)

Courses

Stud.IP

zur Veranstaltung in Stud.IP

Quantitative Methods - Statistics and Operations Research (VL)

Untertitel:

This course is part of the module: Quantitative Methods - Statistics and Operations Research

Semester:

WiSe 23/24

Veranstaltungstyp:

Vorlesung (Lehre)

Veranstaltungsnummer:

lv127_w23

DozentIn:

Prof. Dr. Kathrin Fischer, Kai Uwe Hoth, Tizian Schug, Tobias Klein, M. Sc, Lorenz Kolley, Heike Scheel

Beschreibung:

Statistics

Descriptive Statistics: Graphical representations, calculation of relevant measures of central tendency etc., also by using a computer; application of methods for large data sets, analysis and comparison of results, critical discussion and evaluation of methods and their use in scientific projects and business practice
Probability theory: important laws, dependent probabilities, Bayes Rule; application to practical problems
Use and application of probability distributions , as e.g. Binomial and Normal distribution to Management and Engineering problems
Methods of inferential statistics: confidence intervals: theoretical background and applications; hypothesis testing: theoretical background and application to business problems; regression analysis: theoretical background and application in research practice.

Operations Research

Linear Programming: Modelling business decision situations, solving problems by Simplex method and by using software, theoretical background of Simplex procedure, Dual Simplex procedure and blocked variables, special cases (degeneracy etc.); sensitivity analysis and interpretation
Transportation planning: Modellung transportation and transshipment problems in global networks; Solving transportation problems using software
Network Optimization problems: modelling production and transportation networks, solving planning problems in networks, Network Planning as a research topic
Integer Programming: Models using integer variables, e.g. in location decisions, branch and bound procedure

Leistungsnachweis:

611 - Quantitative Methods - Statistics and Operations Research<ul><li>611 - Quantitative Methods - Statistics and Operations Research: Klausur schriftlich</li></ul><br>613 - Quantitative Methods - Statistics and Operations Research<ul><li>611 - Quantitative Methods - Statistics and Operations Research: Klausur schriftlich</li><li>811 - Quantitative Methods - Statistics and Operations Research - Midterm: Midterm</li><li>813 - Quantitative Methods - Statistics and Operations Research - Exercises: Excercises</li></ul>

ECTS-Kreditpunkte:

4

Weitere Informationen aus Stud.IP zu dieser Veranstaltung

Heimatinstitut: Institut für Quantitative Unternehmensforschung und Wirtschaftsinformatik (W-4)
In Stud.IP angemeldete Teilnehmer: 89
Anzahl der Postings im Stud.IP-Forum: 28

Supervised Theses

ongoing

completed

2021

Hund, P. (2021). Modellierung eines elektrischen Netzes zur Demonstration des Einflusses von virtueller Trägheit durch umrichterbasierte Energieanlagen.
Hund, P. (2021). Koordinierte Bereitstellung von virtueller Trägheit durch erneuerbare umrichterbasierte Energieanlagen in Verteilnetzen mithilfe von künstlicher Intelligenz.
Möller, P. (2021). Erfassung der Knotenspannung in Niederspannungsnetzen auf Basis von dezentralen Messeinrichtungen mithilfe von Machine learning.
Plant, R. (2021). Estimation of Power System Inertia in an Inverter-Dominated Distribution Grid Using Machine Learning.

2020

Dressel, M. (2020). Modellierung der Zustandsschätzung eines elektrischen Netzes mit Hilfe von Graph neuronalen Netzen.
Schmidt, M. (2020). Vorhersage von zuverlässig bereitstellbarer Regelleistung aus Erneuerbaren Energien mithilfe von neuronalen Netzen.

Simon Stock

Contact

Simon Stock, M. Sc.

Research Projects

Applications of AI in distribution system operation

Applications of AI in distribution system operation

VeN²uS

VeN²uS

Networked grid protection systems - Adaptive and interconnected

Research Focus

Publications

TUHH Open Research (TORE)

2023

2022

2021

Courses

Stud.IP

Supervised Theses

ongoing

completed

2021

2020

TU Hamburg

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