The Research Of Data Acquisition And Remote Centeralized Monitoring System For Wind Farm

In recent years,wind power technology is developing rapidly and to be more and more mature,and the wind power companies are constantly growing.At the same time,with the continuous expansion of wind farms within their jurisdictions,the installed capacity of wind farms has increased rapidly,and the types of wind turbine equipment have also been increasing.However,due to the mutual independence between the fan and monitoring system which are from different manufacturers,it eventually causes some issues such as the dispersion of production data,information silos,low personnel utilization,poor real-time,poor control effect and so on.How to effectively conduct centralized and real-time monitor for the operation of wind turbines has become the key issue that many companies focus on.The promulgation of the IEC61400-25 standard and the appearance of data communication interface technologies,such as OPC and Web Services,provide the theoretical basis for the research of centralized monitor and control system of wind farms.This paper establishes a data acquisition and remote centralized monitor and control system for the regional wind farms to realize the unified acquisition and uploading of data information in wind farms.Moreover,not only the companies can get centralized management of multiple wind farms,but also it will gradually realize the management model of “unattended,less people on duty,regional management”.In summary,in this paper,the data acquisition and remote monitor and control system for wind farm is studied from the following aspects:Firstly,this paper designs the data acquisition and remote centeralized monitoring system for wind farm,and then it analyzes the IEC61400-25 standard information model,information exchange model,and the mapping methods of the above two models to five communication protocol,including MMS,Web Services,OPC XML-DA,IEC60870-5-104 and DNP3.What's more,combined with actual engineering,OPC is selected as the data communication method.Secondly,based on the IEC61400-25 standard,combined with the open and distributed features of OPC interface technology,it builds the data acquisition architecture in the laboratory environment to simulate the process of data acquisition.On top of that,it uses OPC data forwarding software to collect fan data of wind power and make the protocol conversion.And then the data is upload to the centralized control center for real-time monitoring interface through power dispatching.In addition,the system design is further improved and a wind farm monitoring system based on Web Services interface technology is proposed.Combining the advantages of the coupling and cross platform of Web Services technology,the Web Services server side and the Web interface are designed.The client can communicate with the service side through the Internet to realize the remote monitoring of the operating state of the fan equipment in the wind farm.Finally,this paper analyzes the data of the wind power SCADA system,and the data of the normal running state of the wind turbine are obtained by the grid method.At the same time,in order to predict the lubricant temperature and bearing temperaturethe,Adaboost-BP algorithm is used to construct the gear box fault prediction model.Besides,it uses the statistical process control algorithm to analyze the residual difference between the prediction value of the gear box model and the actual value.According to the3? criterion,it conducts the fault prediction.At length,the validity of the Adaboost-BP model combined with the SPC algorithm is verified.