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A fault early warning method for power system based on short-term stochastic failure model of equipment

A power grid fault and failure model technology, applied in the field of electrical engineering, can solve problems such as weak observation methods, vulnerability to extreme weather disasters, and grid damage, and achieve the effect of reducing the probability and duration of user power outages and shortening the repair time

Inactive Publication Date: 2019-01-04
苏州智睿新能信息科技有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the deterioration of the global climate, the frequency of storm / snow weather has increased significantly, causing serious damage to the power grid many times and causing large-scale power outages in the power grid
[0003] After the construction of the power grid in recent years, the reliability and monitoring methods of the transmission network have been greatly improved, and the ability to deal with extreme disaster weather is stronger. However, the distribution network is located at the end of the power grid, with weak observation methods, lower reliability, and more vulnerable to extreme disaster weather influences

Method used

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  • A fault early warning method for power system based on short-term stochastic failure model of equipment
  • A fault early warning method for power system based on short-term stochastic failure model of equipment
  • A fault early warning method for power system based on short-term stochastic failure model of equipment

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Embodiment 1

[0082] A town is composed of 8 10kV feeders, and the power equipment includes overhead lines, power transformers, etc., and each feeder is composed of 31 overhead feeder segments.

[0083] The town was hit by a blizzard from the northwest. According to the weather forecast, the maximum average wind speed was 22km / h; the maximum accumulative thickness of blizzard attached to the equipment was 28mm.

[0084] During the period when the town was hit by a blizzard, the simulated change map of the load stress on the area where the hurricane was located ( figure 1 ). figure 1 The regional load diagrams for 12, 14, 18, 20, 22, and 26 hours are given, in which the greater the brightness, the greater the force intensity, and the square part in the lower left corner is the area where the town is located.

[0085] Draw the three-dimensional force load diagram ( figure 2 ), figure 1 It can be seen that the period of 15-26 hours is the period with the highest mechanical load. Since the...

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Abstract

The invention discloses a power network fault early warning method based on a short-term random failure model of equipment, which comprises the following steps: 1, establishing a dynamic load calculation model of equipment evolving in time and space; 2, establishing a failure probability model of electric power equipment; 3, an accurate forecasting method of power outage being proposed for extremeweather conditions. In the manner, the invention relates to a power network fault early warning method based on a short-term stochastic failure model of equipment, based on the non-sequential Monte Carlo method, an accurate prediction method of distribution network fault and user outage is established, which realizes fault prediction of distribution network equipment and user outage prediction, and helps distribution network operation management develop from passive rush repair management to active preventive management, thus shortening rush repair time of distribution network equipment and reducing user outage probability and duration.

Description

technical field [0001] The invention relates to the technical field of electrical engineering, in particular to a power grid fault early warning method based on a short-term random failure model of equipment. Background technique [0002] In recent years, with the deterioration of the global climate, the frequency of storm / snow weather has increased significantly, causing serious damage to the power grid many times and causing large-scale power outages in the power grid. [0003] After the construction of the power grid in recent years, the reliability and monitoring methods of the transmission network have been greatly improved, and the ability to deal with extreme disaster weather is stronger. However, the distribution network is located at the end of the power grid, with weak observation methods, lower reliability, and more vulnerable to extreme disaster weather Influence. Therefore, it is extremely important for the power grid and users to accurately predict the impact ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06395G06Q50/06Y04S10/50
Inventor 周勤张建华
Owner 苏州智睿新能信息科技有限公司
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