Projekt

Deep Learning for Feature Extraction in Power System Security Assessment

Udbyder

Vejleder

Sted

København og omegn

The increase in fluctuating renewable energy, such as wind and solar, and the increase in electricity demand driven by the electrification of heat and transport sectors challenge traditional power system operation. Power system operators routinely perform system security assessments to ensure a safe and stable operation. With growing uncertainty, the complexity of this computationally intensive task further increases calling for the development of new approaches.

Deep learning has shown tremendous potential in a wide range of scientific and technological applications, recently publicized for the game of Go with the computer program AlphaGo winning against the world champion. However, the application of deep learning in power systems has been limited so far. One promising direction is deep learning for feature extraction. The goal is to map the high-dimensional power system state to a significantly lower-dimensional feature space more suitable for a classifier to discriminate between safe and unsafe operation. The resulting tool could aid operators in maintaining a stable power system operation.

Please see the attached proposal for more information.


Forudsætninger

Power system modeling or machine learning, good knowledge of Matlab, Python or another programming language, high interest in deep learning.

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Kontakt

Virksomhed/organisation

DTU Elektro

Navn

Andreas Venzke

Stilling

Ph.d.-studerende

Mail

andven@elektro.dtu.dk

Vejleder-info

Kandidatuddannelsen i Informationsteknologi

Vejleder

Andreas Venzke

Medvejledere

Spyros Chatzivasileiadis

ECTS-point

10 - 35

Type

Kandidatspeciale, Specialkursus

Kandidatuddannelsen i Elektroteknologi

Vejleder

Andreas Venzke

Medvejledere

Spyros Chatzivasileiadis

ECTS-point

10 - 35

Type

Kandidatspeciale, Specialkursus

Kandidatuddannelsen i Matematisk Modellering og Computing

Vejleder

Andreas Venzke

Medvejledere

Spyros Chatzivasileiadis

ECTS-point

10 - 35

Type

Kandidatspeciale, Specialkursus

Kandidatuddannelsen i Bæredygtig Energi

Vejleder

Andreas Venzke

Medvejledere

Spyros Chatzivasileiadis

ECTS-point

10 - 35

Type

Kandidatspeciale, Specialkursus

OM DTU

DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet. 10.000 studerende uddanner sig her til fremtiden, og 5.700 medarbejdere har hver dag fokus på uddannelse, forskning, myndighedsrådgivning og innovation, som bidrager til øget vækst og velfærd.

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Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby


45 25 25 25

dtu@dtu.dk

CVR-nr. 30 06 09 46

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