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

Information Theory and Coding

Untertitel:

This course is part of the module: Information Theory and Coding

Semester:

SoSe 24

Veranstaltungstyp:

Vorlesung (Lehre)

Veranstaltungsnummer:

lv436_s24

DozentIn:

Gerhard Bauch, Philipp Mohr, PD Dr.-Ing. habil. Rainer Grünheid

Beschreibung:

Introductionto information theory and coding
Definitionsof information: Self information, entropy
Binaryentropy function
Sourcecoding theorem
Entropyof continuous random variables: Differential entropy, differential entropy ofuniformly and Gaussian distributed random variables
Sourcecoding
- Principlesof lossless source coding
- Optimalsource codes
- Prefixcodes, prefix-free codes, instantaneous codes
- Morsecode
- Huffmancode
- Shannoncode
- Boundson the average codeword length
- Relativeentropy, Kullback-Leibler distance, Kullback-Leibler divergence
- Crossentropy
- Lempel-Zivalgorithm
- Lempel-Ziv-Welch(LZW) algorithm
- Textcompression and image compression using variants of the Lempel-Ziv algorithm
Channelmodels
- AWGNchannel
- Binary-inputAWGN channel
- Binarysymmetric channel (BSC)
- Relationshipbetween AWGN channel and BSC
- Binaryerror and erasure channel (BEEC)
- Binaryerasure channel (BEC)
- Discretememoryless channels (DMC)
Definitionsof information for multiple random variables
- Mutualinformation and channel capacity
- Entropy,conditional entropy
- Chainrules for entropy and mutual information
Channelcoding theorem
Channelcapacity of fundamental channels: BSC, BEC, AWGN channel, binary-input AWGNchannel etc.
Power-limitedvs. bandlimited transmission
Capacityof parallel AWGN channels
- Waterfilling
- Examples:Multiple input multiple output (MIMO) channels, complex equivalent basebandchannels, orthogonal frequency division multiplex (OFDM)
Source-channelcoding theorem, separation theorem
Multiuserinformation theory
- Multipleaccess channel (MAC)
- Broadcastchannel
- Principlesof multiple access, time division multiple access (TDMA), frequency divisionmultiple access (FDMA), non-orthogonal multiple access (NOMA), hybrid multipleaccess
- Achievablerate regions of TDMA and FDMA with power constraint, energy constraint, powerspectral density constraint, respectively
- Achievablerate region of the two-user and K-user multiple access channels
- Achievablerate region of the two-user and K user broadcast channels
- Multiuserdiversity
Channelcoding
- Principlesand types of channel coding
- Coderate, data rate, Hamming distance, minimum Hamming distance, Hamming weight,minimum Hamming weight
- Errordetecting and error correcting codes
- Simpleblock codes: Repetition codes, single parity check codes, Hamming code, etc.
- Syndromedecoding
- Representationsof binary data
- Non-binarysymbol alphabets and non-binary codes
- Codeand encoder, systematic and non-systematic encoders
- Propertiesof Hamming distance and Hamming weight
- Decodingspheres
- Perfectcodes
- Linearcodes
- Decodingprinciples
  - Syndromedecoding
  - Maximuma posteriori probability (MAP) decoding and maximum likelihood (ML) decoding
  - Harddecision and soft decision decoding
  - Log-likelihoodratios (LLRs), boxplus operation
  - MAPand ML decoding using log-likelihood ratios
  - Soft-insoft-out decoders
- Errorrate performance comparison of codes in terms of SNR per info bit vs. SNR percode bit
- Linearblock codes
  - Generatormatrix and parity check matrix, properties of generator matrix and parity checkmatrix
  - Dualcodes
- Lowdensity parity check (LDPC) codes
  - Sparseparity check matrix
  - Tannergraphs, cycles and girth
  - Degreedistributions
  - Coderate and degree distribution
  - Regularand irregular LDPC codes
  - Messagepassing decoding
    - Messagepassing decoding in binary erasure channels (BEC)
    - Systematicencoding using erasure message passing decoding
    - Messagepassing decoding in binary symmetric channels (BSC)
      - Extrinsicinformation
      - Bit-flippingdecoding
      - Effectsof short cycles in the Tanner graph
      - Alternativebit-flipping decoding
      - Softdecision message passing decoding: Sum product decoding
    - Biterror rate performance of LDPC codes
  - Repeataccumulate codes and variants of repeat accumulate codes
  - Messagepassing decoding and turbo decoding of repeat accumulate codes
- Convolutionalcodes
  - Encodingusing shift registers
  - Trellisrepresentation
  - Harddecision and soft decision Viterbi decoding
  - Biterror rate performance of convolutional codes
  - Asymptoticcoding gain
  - Viterbidecoding complexity
  - Freedistance and optimum convolutional codes
  - Generatorpolynomial description and octal description
  - Catastrophicconvolutional codes
  - Non-systematicand recursive systematic convolutional (RSC) encoders
  - Ratecompatible punctured convolutional (RCPC) codes
  - Hybridautomatic repeat request (HARQ) with incremental redundancy
  - Unequalerror protection with punctured convolutional codes
  - Errorpatterns of convolutional codes
- Concatenatedcodes
  - Serialconcatenated codes
  - Parallelconcatenated codes, Turbo codes
  - Iterativedecoding, turbo decoding
  - Biterror rate performance of turbo codes
  - Interleaverdesign for turbo codes
- Codedmodulation
  - Principleof coded modulation
  - Achievablerates with PSK/QAM modulation
  - Trelliscoded modulation (TCM)
  - Setpartitioning
  - Ungerböckcodes
  - Multilevelcoding
  - Bit-interleavedcoded modulation

Leistungsnachweis:

605 - Information Theory and Coding<ul><li>605 - Information Theory and Coding: Klausur schriftlich</li></ul>

ECTS-Kreditpunkte:

4

Weitere Informationen aus Stud.IP zu dieser Veranstaltung

Heimatinstitut: Institut für Nachrichtentechnik (E-8)
In Stud.IP angemeldete Teilnehmer: 140
Anzahl der Postings im Stud.IP-Forum: 7
Anzahl der Dokumente im Stud.IP-Downloadbereich: 34

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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