Abstract
With the increase in power demand and the increasing complexity of the power grid, the operation of relay protection devices in substations is often unreasonable. Therefore, a quantitative evaluation method of operation reliability of relay protection devices in substations based on an improved neural network algorithm is proposed. The time-varying probability of misoperation of relay protection in substation is calculated based on the improved neural network algorithm, identifying misoperation behavior of relay protection device, obtaining the optimal hyperplane decision function, selecting kernel function, and construct a quantitative evaluation function of operation reliability of relay protection device. In the evaluation process, two stages of the evaluation process are carried out, namely, reliability block diagram analysis, failure mode evaluation, and verification of relay protection device operation state, so as to complete the reliability quantitative evaluation. The experimental results show that this method can minimize the error of evaluation training and improve evaluation efficiency. At the same time, the error rate is small, which can be controlled within 0.5%.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.