Research On Compensation Technology Of Delay Signal In Power System Based On Kalman Filter

In recent years,with the expansion of power system scale,the security and stability of power grid has attracted more and more attention.Wide-area measurement system based on synchronous phasor measurement unit can acquire real-time dynamic data of multiple nodes in its range,which provides an opportunity for wide-area closed-loop control of power system.However,the transmission delay of the measured signal is still a major problem in the application process of the system,which will seriously interfere with the related advanced applications based on real-time signals,and has great engineering practical significance to solve the problem of delay.The problem of signal delay can be dealt with by means of predictive compensation,that is,when the data is not sent to the receiving end,it can be predicted by using relevant algorithms,so as to ensure the relative synchronization of signal reception.In addition,considering the measurement noise in the measurement system itself,in order to improve the reliability of predictive compensation data,pre-filtering is needed.This paper divides the prediction and compensation of time-delay signal into two parts: filtering and prediction.The filtering method focuses on the current typical Kalman filtering algorithm,introduces the basic principle and application steps of the method,and discusses the parameter design of the filtering algorithm through simulation cases.In the prediction algorithm,P,one of the common analysis algorithms of low-frequency oscillation,is mainly tried.The Prony prediction algorithm derived from the Rony algorithm is used to study the correlation characteristics of the signal prediction.The key part of this thesis is to combine Kalman filtering algorithm with Prony algorithm.A typical structure of WAMS delay signal compensation device is proposed.The delay problem is comprehensively dealt with and simulated in the four-machine two-area system model.The results show that the combined method can achieve more accurate delay compensation within 250 ms,and the compensation results meet the requirements.