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

Control Systems Theory and Design (VL)

Untertitel:

This course is part of the module: Control Systems Theory and Design

Semester:

WiSe 23/24

Veranstaltungstyp:

Vorlesung (Lehre)

Veranstaltungsnummer:

lv656_w23

DozentIn:

Prof. Dr. Herbert Werner, Bindu Sharan, M.Sc, Prima Aditya

Beschreibung:

State space methods (single-input single-output)

• State space models and transfer functions, state feedback
• Coordinate basis, similarity transformations
• Solutions of state equations, matrix exponentials, Caley-Hamilton Theorem
• Controllability and pole placement
• State estimation, observability, Kalman decomposition
• Observer-based state feedback control, reference tracking
• Transmission zeros
• Optimal pole placement, symmetric root locus
Multi-input multi-output systems
• Transfer function matrices, state space models of multivariable systems, Gilbert realization
• Poles and zeros of multivariable systems, minimal realization
• Closed-loop stability
• Pole placement for multivariable systems, LQR design, Kalman filter

Digital Control
• Discrete-time systems: difference equations and z-transform
• Discrete-time state space models, sampled data systems, poles and zeros
• Frequency response of sampled data systems, choice of sampling rate

System identification and model order reduction
• Least squares estimation, ARX models, persistent excitation
• Identification of state space models, subspace identification
• Balanced realization and model order reduction

Case study
• Modelling and multivariable control of a process evaporator using Matlab and Simulink
Software tools
• Matlab/Simulink

Leistungsnachweis:

620 - Control Systems Theory and Design<ul><li>620 - Control Systems Theory and Design: Klausur schriftlich</li></ul>

ECTS-Kreditpunkte:

4

Weitere Informationen aus Stud.IP zu dieser Veranstaltung

Heimatinstitut: Institut für Regelungstechnik (E-14)
In Stud.IP angemeldete Teilnehmer: 222
Anzahl der Postings im Stud.IP-Forum: 19
Anzahl der Dokumente im Stud.IP-Downloadbereich: 3

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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