Research On Regional Classification Of Equipment Configuration By Power Load Data Analysis

The application of power data is the potential value of the power data mining,and it is an important support for the future intelligent city and the construction of intelligent power grid.With the rapid development of China's economic,the power system is also booming,and the speed of construction updating has accelerated in various regions.The information of the power industry has also been greatly developed,especially with the construction of the next generation of smart grid,resulting in the increase of power data year by year.Therefore,the rational and accurate power load analysis using the big data of power has become an important basic task for future construction of power system.As the power load point,the location design of the substation is an important part of the power grid planning.It will directly affect the economic benefits of power enterprises.Therefore,it is significant to apply the result of the power load analysis to power equipment configuration.First,this thesis selects the power load analysis method by analyzing the characteristics of the sample data.The characteristics of the power load data include the trend of seasonal temperature change and the fluctuations of the power consumption caused by different types of dates,such as weekends or holidays.After doing a lot of data preprocessing and algorithm comparison,this thesis decided to use neural network algorithm to do some training aimed at getting future power load consumption.Second,taking the advantage of neural network to solve nonlinear problem,combining with the experiment data,this thesis presents a new method for power equipment configuration.Use the power load data from each line,and combine the geographical characteristics of each line,to find out the relationship between them.Then use neural network to classify the characteristics of each line,and use the land type as output to get four types of land belonging to urban area,rural area,agricultural area and pastoral area.According to the training data model,the substation of the site will be classified to get the type of the land.Finally,according to the construction standards published by the country,compare the construction standard of substation under each type of land,and decide the location of substation.This thesis analyzes the existing knowledge in the power load data,and applies it to the location configuration of power equipment.Analyzes the relationship between the power load data and the location configuration of power equipment,to decide the general position of the power equipment quickly,which aims to provide a new research idea for equipment location problem of the power industry.