Optimal splitting section search method based on semi-supervised spectral clustering

A search method and spectral clustering technology, applied in the field of optimal solution section search based on semi-supervised spectral clustering, can solve the problem of few results

Active Publication Date: 2014-10-01
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0009] It can be seen that the current NP challenge of actively solving the optimal section sti...

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  • Optimal splitting section search method based on semi-supervised spectral clustering
  • Optimal splitting section search method based on semi-supervised spectral clustering
  • Optimal splitting section search method based on semi-supervised spectral clustering

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[0058] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0059] please see figure 1 , is a flowchart of the embodiment of the present invention, see figure 2 , is the wiring diagram of the IEEE118 standard system in the embodiment of the present invention, wherein the black circles represent the generator nodes, and the white circles represent the load nodes, including 19 generators and 186 lines in total. The total output of power generation is 4374.9MW, and the total load in the system is 4242MW. The program implementation is based on the MATLAB-R2009a platform, and the configuration of the experimental PC is ...

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Abstract

The invention discloses an optimal splitting section search method based on semi-supervised spectral clustering. The optimal splitting section search method disclosed by the invention comprises the following steps of: constructing a detailed splitting section search model by virtue of related constraints of the target function of the minimum compound power flow impact, unit homology/separation, and the like at first, and then mapping the optimal section search optimization solution process to the relaxation solution obtaining process of constraint spectral clustering for static map segmentation, and finally selecting the optimal active splitting section through an improved PAM clustering algorithm. According to the process above, time complexity is reduced on the premise of no loss of whole network information, and the search result is accurate and effective.

Description

technical field [0001] The invention belongs to the field of electric power technology, and relates to the problem of reasonable selection of isolation locations under severe faults in large power grids, and in particular to a search method for optimal splitting sections based on semi-supervised spectrum clustering. Background technique [0002] The continuous expansion of my country's power grid and the formation of cross-regional interconnected power grids have brought huge challenges to the security and stability of the system. The major power outages at home and abroad in recent years, on the one hand, warn people that they must continue to pay attention to the safe and stable operation of the power system; difficult. However, before the large power grid is subject to a large disturbance and is about to collapse, effectively identifying the current special working conditions, selecting a suitable section, performing active decoupling, and dividing the large system into ...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/90335Y02D10/00
Inventor 唐飞杨健廖清芬王乙斐涂炼朱振山刘福锁
Owner STATE GRID CORP OF CHINA
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