Applications of artificial intelligence in distribution power system operation

Due to the energy transition and the distribution of electricity generation, distribution power systems gain a lot of attention as their importance increases and new challenges in operation emerge. The integration of renewables and electric vehicles for instance leads to manifold changes in the system, e.g. participation in provision of ancillary services. To solve these challenges artificial intelligence provides a variety of solutions based on the increase in sensor data and computational capability. This paper provides a systematic overview of some of the most recent studies applying artificial intelligence methods to distribution power system operation published during the last 10 years. Based on that, a general guideline is developed to support the reader in finding a suitable AI technique for a specific operation task. Therefore, four general metrics are proposed to give an orientation of the requirements of each application. Thus, a conclusion can be drawn presenting suitable algorithms for each operation task.

Subjects

Artificial intelligence

Artificial Intelligence

Clustering algorithms

Distribution Power Systems

Fuzzy Logic

Guidelines

Machine Learning

Measurement

Metaheuristics

Power System Operation

Power system stability

Power Systems

Reinforcement learning

Systematics

MLE@TUHH

DDC Class

004: Informatik

530: Physik

600: Technik

620: Ingenieurwissenschaften

Funding(s)

Einsatz von KI in der Betriebsführung von Verteilnetzen

Publication version

publishedVersion

Lizenz

https://creativecommons.org/licenses/by/4.0/

Name

Applications_of_Artificial_Intelligence_in_Distribution_Power_System_Operation.pdf

Size

1.52 MB

Format

Adobe PDF

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Applications of artificial intelligence in distribution power system operation