Community self-organizing detection method for power network fault diagnosis

A power network and fault diagnosis technology, applied in forecasting, data processing applications, instruments, etc., can solve the comparison test of network and social network limited to random generation by computer, detection efficiency and accuracy are not high enough, easy to fall into local optimum Solve medium problems to achieve high detection efficiency and detection accuracy, easy implementation, and guiding effects
CN103390198AActive Publication Date: 2013-11-13GUANGDONG ZHICHENG CHAMPION GROUP
1 Cites 9 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG ZHICHENG CHAMPION GROUP
Publication Date
2013-11-13

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a community self-organizing detection method for power network fault diagnosis. The method comprises the steps of firstly, collecting network characteristic parameters of power networks, then describing the power networks as weighted network models, constructing local fitness and global fitness functions, starting from grouped solutions of the power networks, which are generated randomly, calculating local fitness of each power node, sequencing the local fitness, selecting the nodes with the poor local fitness according to an expansion evolution probability distribution function, transferring the nodes with the poor local fitness to another group of networks to generate new solutions, comparing global fitness values of the new solutions and the current solutions, reserving the best solutions in the new solutions and the current solutions, enabling the new solutions to serve as initial solutions for the next iteration to repeat above optimization processes until preset end conditions are met, and finally, analyzing and outputting community self-organizing detection results which are used for power network fault diagnosis. Compared with conventional methods, the method has the advantages of being a few in adjusting parameter, simple in detection process, easy to implement and high in detection efficiency and detection precision.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of safety evaluation and fault diagnosis of smart grid systems, in particular to a community self-organization detection method for power network fault diagnosis. Background technique

[0002] As one of the networks with the widest coverage and the most complex structure in the world today, the security of the power network is closely related to the national economy and the people's livelihood. However, frequent large-scale power outages at home and abroad in recent years have exposed the vulnerability of complex large power grids, which have brought extremely catastrophic losses and adverse effects to many countries and regions including North America, Europe, and China. Please refer to Table 1 for the description of its basic situation. Therefore, how to ensure the safe and stable operation of the power grid and realize a strong power grid has become one of the research hotspots in the academic and engineering circ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More