Research and implementation of visualization technology for smart grid situation awareness
In order to effectively detect the real-time operation status of the power grid and identify the abnormal data information in the power grid,the visualization technology of smart grid situation awareness is studied and implemented.Firstly,the synchronous phasor measuring device is used to collect the power grid operation signal,and the noise energy threshold of different frequency ranges is calculated by wavelet transform,so as to realize signal denoising.Combined with linear discriminant function and decision tree al-gorithm,the abnormal signals affecting the situation judgment in the power grid are removed,and then the effective signals are extrac-ted and input into the LSTM network;The SVDD algorithm is introduced to visually identify the power grid situation,judge the current power grid situation according to the calculation of various operation indicators in the power grid system,predict the potential risks,and issue real-time warning based on the prediction results.The experimental results show that the proposed method has high accura-cy in detecting the abnormal data generated during the operation of the power grid,and can accurately judge the severity of the risk,and can realize the accurate perception of the power grid situation.
synchronous vector detectionwavelet transformlinear discriminant functiondecision tree algorithmLSTM net-workSVDD algorithm
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