A Weighted Function Least Squares State Estimation Method Based on Residual Normalization
A state estimation and least squares technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as affecting applications, not easy to be widely used, and low leverage measurement.
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[0086] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but it should not be understood that the scope of the subject matter of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.
[0087] As shown in 1, the specific steps of a weight function least squares state estimation method based on residual normalization are as follows:
[0088] (1) Input basic data and initialization
[0089] 1) Enter basic data
[0090] First, input the SCADA data, network structure and parameter information of the power grid under any time section. That is, the node voltage amplitude, node injection power and branch power of the input grid at any time secti...
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