A black-start partitioning method based on semi-supervised spectral clustering
A spectral clustering and black start technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as strong dependence on initial values of algorithms and difficulty in obtaining global optimal solutions.
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[0049] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0050] Step S1: Assign the weights of the power system lines, and construct the undirected weighted graph G={V, E} of the power system based on this.
[0051] The line weight is defined as follows:
[0052] w ij =max((|P ij |-D ij ),0)
[0053] In the formula: w ij is the weight of the line between nodes i and j; |P ij | is the absolute value of the active power flow of the line between nodes i and j. Since the power flow of the tie line after the system recovery cannot be predicted when the black start partition strategy is formulated before the system recovery, this paper uses the absolute value of the active power of the line before the power outage as |P ij |approximate value. D. ij is the electrical distance between nodes i and j. D. ij The available node impedance matrix can be expressed as:
[0054] D. ij = Z ii ...
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