Research on Method of Determining Sampling Frequency of Wind Power Technical Supervision Data
To reduce the data transmission load of the dedicated network line,the method of determining sampling frequency of wind power technical supervision data is studied with the primary frequency regulation technical supervision index as the specific object.Firstly,the single-machine equivalent dynamic model of the primary frequency regulation process of wind power farms is obtained through the identification of primary frequency regulation data segments,and the noise variance of the real generated power is estimated.Secondly,the output measurement noise is constructed with the estimated noise variance to obtain the output signal of the dynamic model at a typical input.Then,a set of technical supervision indicators estimates is obtained with a sequence of samples of the input and output signals at different sampling frequencies.Finally,the above steps are repeated to obtain a plurality of sets of primary frequency regulation technical supervision indicator estimates,and the minimum sampling frequency at which the coefficient of variation of the estimates is less than a given threshold is used as the sampling frequency of the technical supervision data.The proposed method realizes the correlation between the estimated values of the technical supervision indicators and the sampling frequency of the data.The research is of great significance in promoting the development of technical supervision data collection.
Wind power farmsTechnical supervisionSampling frequencyGrid-related performanceDynamic modelCoefficient of variation