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Analysis and Suppression Strategy of Sub-synchronous Oscillation for Wind-Thermal-Bundled Power Transmitted by Series-Compensated System Read chapter Read first chapter

2020 | OriginalPaper | Chapter

State Perception Method of Intelligent Substation Secondary System Based on FCE and DCNN

Authors : Hongbing Li, Junyong Zhu, Ling Luo

Published in: Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Publisher: Springer Singapore

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Abstract

Aiming at second equipment lacks comprehensive and effective state detection and simple and reliable evaluation method, a state perception method of intelligent substation secondary system based on fuzzy comprehensive evaluation (FCE) and deep convolutional neural network (DCNN) is proposed. Firstly, combining with the factors of auxiliary equipment state evaluation, the FCE method is adopted to evaluate the influence degree of each secondary equipment. Secondly, DCNN was used to learn the regional and edge features respectively, and the significance and non-significance confidence of the detected region was obtained. Finally, combined with the influence degree of each secondary equipment and the significant and non-significant confidence level, the state of the secondary equipment in intelligent substation is evaluated. The experiment results indicate that the proposed method can effectively solve the deficiency of the corresponding equipment status detection and evaluation method of intelligent substation.

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Metadata
Title
State Perception Method of Intelligent Substation Secondary System Based on FCE and DCNN
Authors
Hongbing Li
Junyong Zhu
Ling Luo
Copyright Year
2020
Publisher
Springer Singapore
Book
Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Print ISBN: 978-981-13-9782-0

Electronic ISBN: 978-981-13-9783-7

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-9783-7_34