Research Article
Reliability Testing Model of Micro Grid Soc Droop Control Based on Convolutional Neural Network
@INPROCEEDINGS{10.1007/978-3-031-50574-4_7, author={Zhening Yan and Chao Song and Zhao Xu and Yue Wang}, title={Reliability Testing Model of Micro Grid Soc Droop Control Based on Convolutional Neural Network}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2024}, month={2}, keywords={Convolutional Neural Network Micro grid soc droop control Reliability Testing Small Target Object Target Tracking Capacitance Polarity Data Calibration Detection Template}, doi={10.1007/978-3-031-50574-4_7} }- Zhening Yan
Chao Song
Zhao Xu
Yue Wang
Year: 2024
Reliability Testing Model of Micro Grid Soc Droop Control Based on Convolutional Neural Network
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-031-50574-4_7
Abstract
In order to avoid the fatigue operation of microgrid and ensure the application reliability of equipment components, a reliability detection model of micro grid soc droop control based on convolutional neural network is proposed. The convolutional neural network architecture is constructed. By defining small target parameters, the real-time tracking of target samples is realized, and the micro grid charging state operation target is identified. Improve the polarity detection conditions of capacitor equipment, according to the data acquisition and calibration processing results, match the micro grid operation data with the detection template, and achieve the design of micro grid soc droop control reliability detection model based on convolutional neural network. Comparative experimental results: under the effect of the convolutional neural network detection model, when the fatigue curve value reaches 0.18, the indicator device will flash abnormally, which can avoid the fatigue operation state of the microgrid, and has a prominent role in ensuring the reliability of the application of the micro grid soc droop control.
