Comparison of Artificial Intelligence and Machine Learning Methods used in Electric Power System Operation
[ 1 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee
2024
scientific article
english
- electric power system
- smart grid
- artificial intelligence
- machine learning
- digitalization
- sector coupling
EN The methods of Artificial Intelligence (AI) have been used in the planning and operation of electric power systems for more than 40 years. In recent years, due to the development of micro-processor and data storage technologies, the effectiveness of this use has greatly increased. This paper provides a systematic overview of the application of AI including the use of Machine Learning (ML) to the electric power system. The potential application areas are divided into four blocks and the classification matrix has been used for clustering the AI application tasks. Furthermore, the data acquisition methods for setting the parameters of AI and ML algorithms are presented and discussed in a systematic way considering the supervised and unsupervised learning methods. Based on this, three complex application examples: wind power generation forecasting, smart grid security assessment (using two methods), and automatic system fault detection are presented and discussed in detail. Summary and outlook conclude the paper.
06.06.2024
2790-1 - 2790-25
Article number: 2790
CC BY (attribution alone)
open journal
final published version
06.06.2024
at the time of publication
public
140
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