Design And Implementation Of Power Sales System Under The Background Of Power Reform

With the reform of electricity market,electricity trading has gradually become the choice for commercial and industrial enterprises to reduce the cost of electricity.The power sales company is the main body participating in the market transactions,and the power sales company needs the support of the power sales system to help the power sales company carry out customer management,contract management,load forecasting and so on.The electricity selling system is a necessary system for electricity selling companies to participate in electricity trading.At present,there is little research on the electricity selling system.This thesis can further enrich the research in the field of electricity selling system.This thesis studies the design and implementation of the electricity sales system under the power reform.First of all,this thesis analyzes the demand of the power sales system,and describes the specific content and process of each module in detail.Secondly,based on the demand analysis of the system,this thesis constructs a detailed system design of the system function,big data architecture and micro service system.Thirdly,this thesis implements the functional modules of the system based on Java and Oracle.The big data platform uses Hadoop and hive for data integration,and kettle for ETL data processing.Finally,through the use of functional test cases to verify that the system functions meet the requirements,and through the Load Runner performance test of the system,also meet the performance requirements.The conclusions are as follows:(1)Due to the need of electric power reform,power sales companies need to establish power sales management system.Manage the user’s power consumption information,contract information,power purchase and sale transaction strategy,settlement management information,etc.(2)At the data level,this system also analyzes how to integrate the power sales system with other business systems into the big data architecture.By using ETL Technology and big data architecture,the data collection of different systems is realized.(3)In the aspect of customer power consumption forecasting,this thesis uses gbdt and other algorithms to realize the user power load forecasting in the system.