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

Digital Communications (Digitale Nachrichtenübertragung) (M.Sc.)

Untertitel:

This course is part of the module: Digital Communications

Semester:

WiSe 23/24

Veranstaltungstyp:

Vorlesung (Lehre)

Veranstaltungsnummer:

lv444_w23

DozentIn:

Gerhard Bauch, M. Sc Leonard Paul Schulz, PD Dr.-Ing. habil. Rainer Grünheid, David Jonas Kopyto

Beschreibung:

Repetition: Baseband Transmission
- Pulseshaping: Non-return to zero (NRZ) rectangular pulses, raised-cosine pulses,square-root raised-cosine pulses
- Powerspectral density (psd) of baseband signals
- Intersymbolinterference (ISI)
- Firstand second Nyquist criterion
- AWGNchannel
- Matchedfilter
- Matched-filterreceiver and correlation receiver
- Noisewhitening matched filter
- Discrete-timeAWGN channel model
Representationof bandpass signals and systems in the equivalent baseband
- Quadratureamplitude modulation (QAM)
- Equivalentbaseband signal and system
- Analyticalsignal
- Equivalentbaseband random process, equivalent baseband white Gaussian noise process
- Equivalentbaseband AWGN channel
- Equivalentbaseband channel model with frequency-offset and phase noise
- Equivalentbaseband Rayleigh fading and Rice fading channel models
- Equivalentbaseband frequency-selective channel model
- Discretememoryless channels (DMC)
Bandpasstransmission via carrier modulation
- Amplitudemodulation, frequency modulation, phase modulation
- Lineardigital modulation methods
  - On-offkeying, M-ary amplitude shift keying (M-ASK), M-ary phase shift keying (M-PSK),M-ary quadrature amplitude modulation (M-QAM), offset-QPSK
  - Signalspace representation of transmit signal constellations and signals
  - Energyof linear digital modulated signals, average energy per symbol
  - Powerspectral density of linear digital modulated signals
  - Bandwidthefficiency
  - Correlationcoefficient of elementary signals
  - Errorprobabilities of linear digital modulation methods
    - Error functions
    - Graymapping and natural mapping
    - Biterror probabilities, symbol error probabilities, pairwise symbol errorprobabilities
    - Euclideandistance and Hamming distance
    - Exactand approximate computation of error probabilities
    - Performancecomparison of modulation schemes in terms of per bit SNR vs. per symbol SNR
  - Hierarchicalmodulation, multilevel modulation
  - Effectsof carrier phase offset and carrier frequency offset
  - Differentialmodulation
    - M-arydifferential phase shift keying (M-PSK)
    - Coherentand non-coherent detection of DPSK
    - p/M-differential phaseshift keying (p/M-DPSK)
    - Differentialamplitude and phase shift keying (DAPSK)
- Non-lineardigital modulation methods
  - Frequencyshift keying (FSK)
  - Modulationindex
  - Minimumshift keying (MSK)
    - Offset-QPSKrepresentation of MSK
    - MSKwith differential precoding and rotation
    - Biterror probabilities of MSK
    - Gaussianminimum shift keying (GMSK)
    - Powerspectral density of MSK and GMSK
  - Continuousphase modulation (CPM)
    - Generaldescription of CPM signals
    - Frequencypulses and phase pulses
  - Coherentand non-coherent detection of FSK
- Performancecomparison of linear and non-linear digital modulation methods
Frequency-selectivechannels, ISI channels
- Intersymbolinterference and frequency-selectivity
- RMSdelay spread
- Narrowbandand broadband channels
- Equivalentbaseband transmission model for frequency-selective channels
- Receivefilter design
Equalization
- Symbol-spacedand fractionally-spaced equalizers
- Inversesystem
- Non-recursivelinear equalizers
  - Linearzero-forcing (ZF) equalizer
  - Linearminimum mean squared error (MMSE) equalizer
- Non-linearequalization:
  - Decisionfeedback equalizer (DFE)
  - Tomlinson-Harashimaprecoding
- Maximuma posteriori probability (MAP) and maximum likelihood equalizer, Viterbialgorithm
Single-carriervs. multi-carrier transmission
Multi-carriertransmission
- Generalmulticarrier transmission
- Orthogonalfrequency division multiplex (OFDM)
  - OFDMimplementation using the Fast Fourier Transform (FFT)
  - Cyclicguard interval
  - Powerspectral density of OFDM
  - Peak-to-averagepower ratio (PAPR)
Multipleaccess
- Principlesof time division multiple access (TDMA), frequency division multiple access(FDMA), code division multiple access (CDMA), non-orthogonal multiple access(NOMA), hybrid multiple access
Spreadspectrum communications
- Directsequence spread spectrum communications
- Frequencyhopping
- Protectionagainst eavesdropping
- Protectionagainst narrowband jammers
- Shortvs. long spreading codes
- Directsequence spread spectrum communications in frequency-selective channels
  - Rakereceiver
- Codedivision multiple access (CDMA)
  - Designcriteria of spreading sequences, autocorrelation function and crosscorrelationfunction of spreading sequences
  - Intersymbolinterference (ISI) and multiple access interference (MAI)
  - Pseudonoise (PN) sequences, maximum length sequences (m-sequences), Gold codes,Walsh-Hadamard codes, orthogonal variable spreading factor (OVSF) codes
  - Multicodetransmission
  - CDMAin uplink and downlink of a wireless communications system
  - Single-userdetection vs. multi-user detection

Leistungsnachweis:

611 - Digital Communications<ul><li>611 - Digital Communications: Klausur schriftlich</li><li>800 - Laboratory Digital Communications: schriftliche Ausarbeitung</li></ul>

ECTS-Kreditpunkte:

6

Weitere Informationen aus Stud.IP zu dieser Veranstaltung

Heimatinstitut: Institut für Nachrichtentechnik (E-8)
In Stud.IP angemeldete Teilnehmer: 144
Anzahl der Postings im Stud.IP-Forum: 16
Anzahl der Dokumente im Stud.IP-Downloadbereich: 44

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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