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Top2. The Present Situation Of The Wind Farms Remote Monitoring System
Currently, the wind farm supervisory control and data acquisition (SCADA) system are provided completely by fan manufacturers, the main problems are shown as follows:
There are more than 40 companies engaged in research and development wind generator, and more companies are developing proprietary fans components or complete machine. Large-scale wind farm are generally provided by multiple vendors, the manufacturers of SCADA systems are not compatible, different types of fans lack of effective monitoring and management studies, it is difficult to unified maintenance and management.
At present, the problems of wind power still concentrate in the reliability of wind power generation, power prediction, and Security to the grid, etc. In the SCADA software, the application of information and centralized data collection is still the degree of showing. It is only available to supply operator real-time data and historical data without deeper level of information development, such as condition monitoring, fault diagnosis, operational guidance and so on.
Top3. The Overall Designing And Solution Of Wind Farm Sis System
We are currently using remote monitoring system for wind farms, which refer to the experience of thermal power project. Using OPC technology, we have integrated the data that is from different fan manufacturers, and gathered real-time data of run fans and remote communication of booster station. The Vestore is used as large real-time database storage platform, and this system can realize the remote monitoring, data analysis and processing, provides management with the power plant in the various operating statements, on the basis of this, we also realize equipment fault diagnosis and life management of funs, wind power prediction, and other functions.
Remote monitoring system for wind farm should include the following function modules: real-time data collection and monitoring, remote centralized control, performance statistics and analysis, fault early warning, life management, output statistics and forecasts, operation optimization. The functional design should include three levels. First, the underlying data collection and monitoring, namely: using OPC technology to achieve real-time collection for fans and booster station, which save in real time / history stored in the database. By the way, it is shown in web as configuration mode. The second is the upper fault warning analysis, life management function, which including: equipment failure records, fan performance comparison, statistics and fan life management. The third level is a fan of the forecasting and planning, which is on the basis of meteorological data and historical data. This module can get fan’s model to predict short-term and even medium-term output forecast for the power grid to provide scheduling support.