Application Research of Intelligent Sensing Technology in Power System Reliability Evaluation of Distribution Network
The data acquisition method of distribution network based on intelligent sensing technology,combined with statistical analysis and machine learning algorithm,is used to process and analyze the operation data of distribution network.In the research process,the index system of distribution network reliability evaluation is established,and then the distribution network data are collected in real time by using intelligent sensing technology,and the data are analyzed and evaluated by combining the algorithm model.The research results show that intelligent sensing technology has obvious advantages in the reliability evaluation of distribution network,which can monitor and predict the running state of distribution equipment in real time and improve the reliability of distribution network.
power systemintelligent perception technologydistribution networkreliability assessmentdata acquisitionmachine learning algorithm
NETL
NSTL
万方数据
