Power Systems Security Assessment Based on Artificial Neural Networks


연구 분야: Analysis



학회: 2022 International Conference and Exposition on Electrical And Power Engineering (EPE)


초록

Power system security assessment is a major issue among the fundamental functions needed for the proper power systems operation. In order to perform the security evaluation, the contingency analysis is a key component. However, the dynamic evolution of power systems during the past decades led to the necessity of novel techniques to facilitate this task. In this paper, power systems security is defined based on the N-l contingency analysis. An artificial neural network approach is proposed to ensure the fast evaluation of power systems security. In this regard, the IEEE 14 bus transmission system is used to verify the performance of the proposed model, the results showing high efficiency subject to multiple evaluation metrics.


Author Profile
Song Min Gyu

ANYANG University (AYU) Korea

Korea
Author Profile
Andrei Tudose

Electrical Power Systems Department Faculty of Energy Engineering University Politehnica of Bucharest Romania

Romania
Author Profile
Robert Micu

Electrical Power Systems Department Faculty of Energy Engineering University Politehnica of Bucharest Romania

Romania

📄 논문 정보

발행 연도 2022년
인용수 5
출판 국가 Romania, Korea
사이트 IEEE
좋아요 수 0

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