KEYWORDS: Data modeling, Deep learning, System identification, Power grids, Matrices, Neural networks, Power consumption, Phase measurement, Genetic algorithms, Device simulation
In the actual operation process, some of the power system bad data identification methods have the problem of low accuracy, for this reason, a deep learning-based power system bad data identification method is designed to improve this defect. The data is collected from power system users, the phase deviation caused by non-integer sampling is reduced by high sampling rate, the measurement signal period is obtained, the operational state of the distribution network is evaluated based on deep learning, the state vector is calculated, the maximum standard residual value is found, the location of the bad data is obtained, and the bad data identification method is designed. Experimental results: The mean accuracy of the power system bad data identification method in the paper is: 78.26%, which indicates that the designed power system bad data identification method performs better after fully integrating the deep learning.
KEYWORDS: Design and modelling, Engineering, Databases, Document management, Data transmission, Data modeling, Java, Data conversion, Nonlinear transmission, Logic
For the current design of power transmission and transformation engineering design review system, there are some problems, such as poor functionality and processing capacity, and long system response time. The design review system of power transmission and Transformation Engineering Based on Spring + Struts + Hibernate (SSH) framework is designed. According to the definition and characteristics of SSH framework, this paper puts forward three classical frameworks: Struts, Spring and Hibernate, and integrates SSH framework. Through data cleaning, conversion and standardization, the evaluation data of transmission line engineering are simplified, and the evaluation data of transmission and transformation engineering are clustered by clustering algorithm. Analyze the overall requirements and functional requirements of the system, adopt SSH framework and design the overall system architecture in combination with specific business. Divide the system function structure from the user use type. Through the design of database structure and data table, the design of power transmission and transformation engineering design review system based on SSH framework is realized. The experimental results show that all functional modules of the system designed by the proposed method are in normal state, with an average throughput of 94.8mbps and a response time of only 17.2s. The proposed method has better functionality and processing capacity, and shorter system response time.
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