Applications of Artificial Intelligence in Distribution Power System Operation
Simon Stock, Davood Babazadeh, Christian Becker
Universität Hamburg Hamburg University of Technology
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摘要与影响
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.
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学术脉络
学科主题
工程Energy Load and Power Forecasting
Smart Grid Energy Management · Smart Grid Security and Resilience
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