
Research Article
Reliability Analysis of Real Time Operation State of Power System Based on K-Nearest Neighbor
@INPROCEEDINGS{10.1007/978-3-030-94185-7_23, author={Tie Li and Jun-ci Tang and Jian-ming Yu and Dai Cui and Di Jiang}, title={Reliability Analysis of Real Time Operation State of Power System Based on K-Nearest Neighbor}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={k nearest neighbor Power system Operation reliability}, doi={10.1007/978-3-030-94185-7_23} }
- Tie Li
Jun-ci Tang
Jian-ming Yu
Dai Cui
Di Jiang
Year: 2022
Reliability Analysis of Real Time Operation State of Power System Based on K-Nearest Neighbor
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_23
Abstract
In order to better guarantee the real-time operation state of power system, a k-nearest neighbor based reliability method for real-time operation state of power system is proposed. The k-nearest neighbor technology is used to collect the information of the real-time operation state of the power system, and the evaluation algorithm of the system operation state is optimized according to the collection results. According to the calculation results, the reliability of the real-time operation state of the power system is analyzed, so as to better guarantee the security and stability of the power system operation.
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