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Method for fusion reconstruction and interaction of intelligent power distribution network big data

A technology of intelligent distribution network and interactive method, which is applied in the field of big data fusion, reconstruction and interaction of intelligent distribution network, which can solve the problem of affecting the normal power supply of distribution network power load, the difficulty of relay protection cooperation, and the high density of power load problems such as improving clustering efficiency and clustering accuracy, enhancing self-healing control functions, and improving the level of intelligence

Active Publication Date: 2015-05-13
HOHAI UNIV CHANGZHOU
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Problems solved by technology

[0002] The distribution network covers population gathering places, modern industries and commercial centers. The power load density is high, the power supply path is short, the coordination of relay protection is difficult, and the distribution line is close to the operating limit. Once an emergency occurs, the entire power distribution will be affected. Normal power supply of grid power load

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  • Method for fusion reconstruction and interaction of intelligent power distribution network big data
  • Method for fusion reconstruction and interaction of intelligent power distribution network big data
  • Method for fusion reconstruction and interaction of intelligent power distribution network big data

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[0030] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0031] Such as figure 1 As shown, a smart distribution network big data fusion reconstruction and interaction method, including the initial clustering division and extended clustering division of smart distribution network big data, smart distribution network operation status and self-healing control two parts, specifically The implementation steps are as follows:

[0032] Step S01: Carry out initial clustering division on the big data of the smart distribution network, establish association rules according to the operating status of the smart distribution network, and realize the division of extended clustering;

[0033] Step S011: each dimension (S j , j∈[1,n]) is equally divided into m int...

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Abstract

The invention discloses a method for fusion reconstruction and interaction of intelligent power distribution network big data. The method is characterized by comprising the steps that (1) division of initial clusters is conducted on the intelligent power distribution network big data, an association rule is established according to the operating state of an intelligent power distribution network, and division of extended clusters is achieved; (2) current data are allocated to the initial clusters based on historical data, the operating state is predicted on the basis of the association rule, so that a self-healing control strategy is determined, and panoramic risk management and control and self-healing control are conducted. According to the method, division of the initial clusters is conducted according to the grid density, division of the extended clusters is conducted through establishment of the association rule, fusion reconstruction and interaction of the intelligent power distribution network big data are achieved, cluster efficiency and cluster accuracy of data streams are effectively improved, and the method has good extensibility and achieves system integration between panoramic risk management and control and self-healing control of the intelligent power distribution network. When the method for fusion reconstruction and interaction of the intelligent power distribution network big data is applied, the intelligent control level of the power distribution network can be improved, and the self-healing control function of the power distribution network is enhanced.

Description

technical field [0001] The invention belongs to the research field of panoramic risk control and self-healing technology for big data-oriented intelligent distribution network, and relates to a big data fusion reconstruction and interaction method of intelligent distribution network. Background technique [0002] The distribution network covers population gathering places, modern industries and commercial centers. The power load density is high, the power supply path is short, the coordination of relay protection is difficult, and the distribution line is close to the operating limit. Once an emergency occurs, the entire power distribution will be affected. Normal power supply of grid power loads. With the access of a large number of distributed power sources / micro-grids / energy storage devices, the scale of the distribution network is becoming larger and larger, the structure is becoming more and more complex, and its operating characteristics and control characteristics are...

Claims

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Application Information

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IPC IPC(8): G06Q50/06
CPCG06Q50/06Y04S10/50
Inventor 范新南马金祥倪建军李敏史朋飞
Owner HOHAI UNIV CHANGZHOU
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