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Publisher DOI: 10.1109/ACCESS.2021.3125102
Title: Applications of artificial intelligence in distribution power system operation
Language: English
Authors: Stock, Simon  
Babazadeh, Davood  
Becker, Christian  
Keywords: 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
Issue Date: 11-Nov-2021
Publisher: IEEE
Source: IEEE Access 9 : 150098-150119 (2021-11)
Abstract (english): 
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.
DOI: 10.15480/882.4023
ISSN: 2169-3536
Journal: IEEE access 
Institute: Elektrische Energietechnik E-6 
Document Type: Article
Project: Einsatz von KI in der Betriebsführung von Verteilnetzen 
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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