Stock, SimonSimonStockBabazadeh, DavoodDavoodBabazadehBecker, ChristianChristianBecker2021-11-252021-11-252021-11-11IEEE Access 9 : 150098-150119 (2021-11)http://hdl.handle.net/11420/11055Due 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.en2169-35362021150098150119IEEEhttps://creativecommons.org/licenses/by/4.0/Artificial intelligenceArtificial IntelligenceClustering algorithmsDistribution Power SystemsFuzzy LogicGuidelinesMachine LearningMeasurementMetaheuristicsPower System OperationPower system stabilityPower SystemsReinforcement learningSystematicsMLE@TUHHInformatikPhysikTechnikIngenieurwissenschaftenJournal Article10.15480/882.402310.1109/ACCESS.2021.312510210.15480/882.4023Journal Article