Application of Machine Learning Algorithms to Verify the Results of Selecting Control Actions in Emergency Control Systems of Power Systems
Abstract
One of the most promising tools for ensuring the requirements for emergency control complexes is the use of non-deterministic machine learning algorithms, which allow synthesizing decision rules based on pre-formed data sam- ples. The high speed of these algorithms makes it possible to use them to verify the results of the selection of control ac- tions. The effectiveness of the methodology is demonstrated in a numerical experiment using the IEEE24 mathematical model, for which a verifi cation accuracy of 98.8% was shown with computational costs of 0.082 ms. In conclusion, the main results of the study and directions for future work are presented.
Fields of Study & Subjects
Power System Optimization and Stability
Power Systems Fault Detection
Frequency Control in Power Systems
Publication details
- Journal / source
- Electric Power Transmission and Distribution
- Volume
- 1
- Issue
- 94
- Pages
- 24–33
- Publication date
- 1 January 2026
- Language
- EN