新能源场站并网测试系统数据分段技术研究

Research on Data Segmentation Technology of Grid-connected Test System for New Energy Station

新能源场站的并网测试是评估新能源场站性能及其对电网影响的重要手段。针对传统测试方法效率较低的问题,设计了一套新能源场站并网测试系统,集成数据采集装置与数据分析模块,实现测试数据的分析并自动生成测试报告。在测试数据识别中,又提出了一种基于奇异值分解的测试数据自动分段方法,该方法能准确识别测试数据的过渡段边界,可用于不同测试项目的测试数据区间分段。通过仿真和实际数据验证,该方法具有良好的准确率,能够自动对数据进行分段,提高了测试效率。

The grid-connected test of a new energy station is an important means to evaluate the performance of the new energy station and its impact on the power grid.In order to deal with the problem of low efficiency of traditional test methods,a set of grid-connected test system for new energy stations is designed,which integrates data acquisition devices and data analysis modules to analyze test data and automatically generate test reports.In the test data identification,an automatic segmentation method of test data based on singular value decomposition is also proposed,which can accurately identify the boundary of the transition section of the test data and can be used for interval segmentation of the test data of different test items.Finally,it is proved through simulation and actual data verification that the method proposed has high accuracy,which can automatically segment the data and improve the test efficiency.