With the deepening of the concept of sustainable development,energy conservation,emission reduction and improvement of electric energy utilization have become the development needs of the country and society.Load monitoring technology,as the latest advanced measurement technology in the smart grid,has a very important positive significance for users,power companies and society to reduce energy consumption comprehensively.At present,the primary problem faced by load monitoring technology is the problem of data source acquisition,that is,it is necessary to carry out research on acquisition devices and load data acquisition.While ensuring the accuracy of load parameter acquisition and load identification accuracy,it must also ensure the economy of the acquisition device.Availability,practicality,reliability and stability.In response to this problem,this paper analyzes and studies the needs of low-voltage residents’ load monitoring and the selection of load parameters.From the perspective of hardware design,this paper proposes a system construction method based on embedded technology and Lab VIEW virtual instrument as the visual interface.A non-invasive monitoring system for residential load facing residential low-voltage network is designed.First,set up the hardware acquisition device of the system.The device uses STM32 chip as the main control core,ATT7022EU metering chip and ADS 1256 analog-to-digital conversion chip as the acquisition chip,using transformer with voltage follower circuit,AD8476 differential amplifier circuit and AD603 variable gain amplifier circuit Compose the acquisition module,use the RS-485 bus to complete the communication with the outside,and use the switching power supply and power circuit to supply power to each part.After that,the embedded software logic structure and LabVIEW data processing and display interface of the system are designed based on hardware,and a communication protocol based on Modbus communication principle is established between the two,and then the method of mixed programming with Matlab is used to introduce the SVM algorithm as Principle load identification algorithm.Finally,the whole system carries out the joint debugging of software and hardware and the overall operation test,completes the collection of different load parameters according to different needs,and can provide high-precision original signals to complete the extraction of complex characteristic data.Combined with the trained load identification algorithm,the load characteristics under different operation states are taken as the input,which can accurately identify the load operation.Experiments have proved that the resident load monitoring system designed in this paper can complete the functional operation of the entire system stably and efficiently,and effectively carry out load monitoring and load identification.Figure[52]table[11]reference[80]... |