Transmitting Dynamics Information Compression In SCADA System Using Prony Algorithm

The stability and secure operation of electric power are paramount in the national economy and social life. Power grid dispatch automation system is an important tool to ensure stable and secure operation of electrical power system. As an important component of dispatching automation system, Power grid dispatch automation system as a essential system for network control center automation system is already playing the influential role in macroeconomic regulation and protection of the normal operation of power system. The SCADA system as part of dispatch automation system is indelibly functioning in the entire electrical network's information acquisition and the control center issuing order transmission. Therefore, the study of SCADA system in the transmission of dynamic information has obvious value and significance of the project.It firstly introduces the function of the electrical power system dispatch, the SCADA system's development and characteristic, the correlation technique and the domain application with the present Power grid communication in article.Secondly, in the SCADA system's dynamic information's transmission, it introduces the Prony algorithm compression transmission, which elaborates the Prony algorithm basic principle and the application method in detail, explains the method of that uses the Prony algorithm to fitting fault signal. It separately shows the signal sampling frequency, model order, data length of the main parameters such as the choice of strategy, and carries on the analysis to these parameter choices's rationality. Then, on contrast of the Fourier transformation and the wavelet analysis, it summarizes that the Prony algorithm is to suit the electrical power system online analysis.The Prony algorithm is improved on noise interference. The omission of relevant error coefficient is enhanced, when the error is consider in the algorithm and the use of iterative algorithms to reduce the calculation of the data. The simulation shows that the improved method has a denoising capability, improves the signal noise ratio and reduces the noise impact on the Prony analysis.Finally, through the use of traditional Prony method and instantaneous frequency extraction, using MATLAB and Power System Analysis Software Package (PSASP) to carry out simulated analysis in reality scene. By the contrast appraising evaluating indicator after the SCADA system's dynamic information simulation confirmed, it has the noise strongly restrained, the error is small and the counting rate speedily, which is able to satisfy online identification of electric system need. This curve fitting method can fit the electrical network dynamic data accurately that dispatches can quickly judge the electrical network running status according to the restructuring data.