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Power distribution network gridding management method and system based on artificial intelligence

An artificial intelligence, distribution network technology, applied in information technology support systems, electrical components, circuit devices, etc., can solve the problems of low distribution network management, no analysis, and no consideration of grid changes in the power supply area, to avoid The effect of system parameter and state quantity estimation, convenient application, and convenient accident handling

Active Publication Date: 2021-08-13
江苏电百达智能科技有限公司
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Problems solved by technology

[0004] The existing technology has the following defects: the importance of load in the power supply area is usually assessed by the power company, and the survey divides different power distribution systems into different levels, and it is only used as a reference index for the importance of load in the power supply grid area , did not consider the internal changes of the grid in the power supply area, and did not analyze the data obtained from the grid load forecast in the power supply area, so as to obtain the regional load importance of the distribution network with strong timeliness and high reliability. The load importance of some power supply grids cannot fully reflect the load importance of power supply grids, and the effectiveness of distribution network grid management is low

Method used

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  • Power distribution network gridding management method and system based on artificial intelligence
  • Power distribution network gridding management method and system based on artificial intelligence
  • Power distribution network gridding management method and system based on artificial intelligence

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Embodiment 1

[0033] The specific scenario specifically targeted by the present invention is: the field of smart grid technology, the main scenario is the state estimation of the power supply area during the grid-based unit management of the distribution network, that is, the power supply with high load importance is preferentially selected according to the load importance of the power supply grid area Grid area for state estimation.

[0034] Firstly, detrend fluctuation analysis is performed on the recorded load sequence and predicted load sequence of the distribution grid respectively to obtain the corresponding first singular index sequence and second singular index sequence.

[0035]In the specific implementation process, the distribution network needs to be divided into grids, specifically: for the division of power supply areas, the prefecture-level city is generally the most basic unit, and then the jurisdiction of each county is divided, and the streets, development Districts and to...

Embodiment 2

[0104] This embodiment provides a system embodiment. An artificial intelligence-based distribution network grid management system, including a singular index sequence acquisition module, an obstruction graph generation module, an obstruction degree acquisition module corresponding to edges in the obstruction graph, and a distribution network grid load importance acquisition module, specifically :

[0105] The singular index sequence acquisition module is used to perform detrend fluctuation analysis on the recorded load sequence and predicted load sequence of the distribution network grid to obtain the corresponding first singular index sequence and second singular index sequence;

[0106] An obstacle graph generating module, configured to construct a first obstacle graph according to the first singular index sequence, and construct a second obstacle graph according to the second singular index sequence, wherein each element in the singular index sequence is a node in the graph...

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Abstract

The invention provides a power distribution network gridding management method and system based on artificial intelligence. The method comprises the steps: carrying out detrending fluctuation analysis on a recorded load sequence in a grid and a predicted load sequence in the grid to obtain a first singular index sequence, a second singular index sequence and a second difference coefficient; constructing a first obstruction graph and a second obstruction graph according to the first singular index sequence and the second singular index sequence; obtaining a first difference coefficient, a third difference coefficient, a fourth difference coefficient and a fifth difference coefficient according to the first obstruction graph and the second obstruction graph; evaluating and investigating the power supply grid region to obtain the importance of a power distribution system in the region; and obtaining the grid load importance of the power distribution network according to the first, second, third, fourth and fifth difference coefficients and the importance of the power distribution system. The method ensures that the load importance data of the grid has strong timeliness and reliability, selects the power supply grid for state estimation according to the importance, saves the calculation amount of state estimation, and achieves the effective management of the grid of the power distribution network.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence and smart grid, in particular to an artificial intelligence-based distribution network grid management method and system. Background technique [0002] With the continuous development of society, the demand for electricity from all walks of life and people's daily life is also increasing, which leads to the continuous complexity of the power grid and is difficult to manage. The distribution network plays an important role in distributing electric energy in the power grid. Even more so. The distribution network has the characteristics of a huge number, a wide area, and a very complex engineering structure. For a long time, there are weak links in the operation and maintenance of the distribution network, which cannot guarantee the safe and stable operation of the distribution network. In order to improve the level of refined management of distribution network, power companies vigo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q10/04G06Q50/06G06F17/11
CPCH02J3/00H02J3/003G06Q10/04G06Q50/06G06F17/11H02J2203/10Y04S10/50
Inventor 杜永刚
Owner 江苏电百达智能科技有限公司
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