Multi-stage Risk Early Warning Method for Power Grid Regulation Based on Multi-source Information Fusion
In order to ensure the safe operation of the power grid,risk early warning technology is an indispensable step,but the early warn-ing process is easily disturbed by problems such as uneven voltage and strong magnetic field.In order to solve the above prob-lems,a multi-stage power grid regulation based on multi-source information fusion is proposed.Risk warning methods.This meth-od first uses the principal component analysis method to reduce the dimension of the power grid data,secondly uses the wavelet transform method to extract the features of the power grid data,then uses the D-S evidence theory to fuse the features to obtain the element credibility,and finally uses the fuzzy C-means clustering to Element credibility classification,completes multi-stage risk early warning of power grid regulation.The experimental results show that the proposed method has short early warning time,small communication network delay,and real-time stability of early warning for multi-stage risks of power grid regulation.
projection transformationprincipal component analysissignal reconstructionevidence body probability assignmentfuzzy C-means
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