Data Compression of Power System Data for Network Operation and Control using Wavelet Transforms
Tim Littler · Research Portal (Queen's University Belfast) · 2003
Wavelet transforms introduce new classes of basis functions for time-frequency signal analysis and have inherent properties that are particularly useful for the compression of analogue point on wave transient and disturbance power system signals. This paper examines the compression properties of the discrete wavelet and evaluates the transform using actual power system data. The results presented in the paper indicate that compression ratios up to 10:1 with acceptable distortion are achievable. The paper discusses the application of wavelet compression for rapid information access and exchange in network operation and control.