Microgrid Energy Data Acquisition And Analysis System Based On Microservices Architecture

The application and promotion of microgrid is one of the important industrial means of power energy conservation and emission reduction in recent years.Microgrid can collect the data of power supply equipment and electrical equipment,and on this basis realize data analysis to achieve reasonable power scheduling,so as to improve the power efficiency.This topic is also the focus of many electric power enterprises.Through in-depth comparative study of traditional distributed software technology architecture,webservice software technology architecture and microservice technology architecture,the author focuses on analyzing the specific characteristics of each layer in the above three architectures,among which microservices architecture has the technical advantages of low coupling and scalable computing.Combined with the network communication technology of non-blocking multiplexing,it can meet the requirements of data calculation in complex electricity usage scenarios.Therefore,this study developed a microgrid energy data acquisition and analysis system based on the microservice architecture.The microgrid energy data acquisition and analysis system based on microservice architecture is developed in java language and uses SpringCloud microservices architecture,which can be deployed on all major operating systems.The system architecture is divided into data display layer,application service layer and data computing layer.Among them,the data display layer adopts the responsive framework and Echarts data visualization technology;The application service layer uses SpringCloud technology framework;The data computing layer program adopts Netty technology and adapts to IEC104TCP protocol for data collection.In this system,data is collected and stored in a remote database.The system first performs regularization processing according to the rules of adaptation protocol,and then performs collection processing according to various dimensions such as equipment,space and time.Finally,the final data is processed according to the calculation rules of various indicators.After data calculation is completed,the front desk program can compare,summarize and analyze the data according to different dimensions,which can be visually displayed in the form of charts.The realization of this system provides a shared and real-time integrated data platform for the energy operation management of industrial parks.On the one hand,it can improve the efficiency and level of power dispatching decision-making,on the other hand,it can also improve the quality of energy service in industrial parks.