Compression of Wind Farm SCADA Data Based on SVD Method

This paper presents a method for SCADA data compression of wind farm using singular value decomposition (SVD). Firstly, the idea of data compression is described and a method of wind turbine SCADA data compression based on singular value decomposition is proposed. Then, defining three indexes, namely the compression ratio (CR), the mean absolute error (MAE) and the mean absolute error percentage (MAPE), analyzed the compression effect. Finally, experiments have been performed employing the actual SCADA data collected from Zhangbei wind farm in China. Experimental results show that the proposed algorithm can effectively reduce the amount of data and save storage space, and the effect is better than DWT algorithm.