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A Modeling Method for Backbone Grid Planning Based on Derivation of Network Flow Constraints

A technology of backbone network frame and modeling method, applied in the direction of single-network parallel feeding arrangement, etc., can solve problems such as slow calculation speed, uncertain results, local optimum, etc., and achieve fast calculation speed, strong robustness, and solution algorithm mature effect

Active Publication Date: 2022-06-21
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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Problems solved by technology

"Research on the Construction and Evaluation Method of Differential Core Backbone Grids of Power Grids [D]. Wuhan University, 2017." This article uses the improved quantum particle swarm algorithm to search the backbone grids. The speed is slow, the result is uncertain, and it is easy to fall into problems such as local optimum
There are great limitations in solving the backbone grid planning problem, which needs to be improved

Method used

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  • A Modeling Method for Backbone Grid Planning Based on Derivation of Network Flow Constraints
  • A Modeling Method for Backbone Grid Planning Based on Derivation of Network Flow Constraints
  • A Modeling Method for Backbone Grid Planning Based on Derivation of Network Flow Constraints

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Embodiment

[0048] refer to figure 1 , a backbone network frame planning modeling method based on network flow constraint derivation, including the following steps:

[0049] S1: Establish the objective function considering the importance of the line as follows:

[0050]

[0051] In the formula: Ω l the set of lines in the system; x ij is the state of the line (i, j), 0 means that the line (i, j) is not in the backbone network frame, 1 means that the line (i, j) is in the backbone network frame, IEEE4 node system line Ω l The set is: {i 1-2 ,i 1-4 ,i 2-4 ,i 1-3 }

[0052] The node electrical betweenness of the IEEE4 node system is obtained by calculation, as shown in Table 1:

[0053] Table 1 IEEE4 node system line electrical betweenness

[0054]

[0055] S2: Some important power nodes and load nodes must be retained in the selected backbone network frame, and the power supply to the important loads must be guaranteed, and the power exchange capability between them must be g...

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Abstract

The present invention is a backbone grid planning and modeling method based on network flow constraint derivation, and the established mixed integer second-order cone programming model plans the backbone grid, effectively avoiding the efficiency of solving nonlinear problems caused by artificial intelligence algorithms Low and high uncertainty problems, use mature algorithms to solve mixed integer second-order cone programming problems, and deal with backbone grid planning problems under different requirements based on the model proposed by the present invention, with fast calculation speed and good robustness , high flexibility, and strong scalability, effectively improving the efficiency of backbone grid planning.

Description

technical field [0001] The invention relates to the technical field of planning of a disaster-resistant backbone network frame of a power system, in particular to a backbone network frame planning and modeling method derived based on network flow constraints. Background technique [0002] In recent years, the impact of extreme weather conditions and natural disasters on human society has been on the rise. Large-scale power outages in power grids caused by severe weather and natural disasters have occurred frequently all over the world. Therefore, how to ensure the safety of power grids in extreme weather Sex is getting more and more attention. After the Quebec power system in Canada experienced three power outages caused by major natural disasters, it began to build a minimum backbone grid to deal with accidents caused by extreme weather. In the ice and snow accident in 1998, the Quebec power system used this The backbone grid successfully guaranteed 80% of the power supply...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/46
CPCH02J3/46H02J2203/20
Inventor 孙志媛梁水莹刘默斯卢纯颢陈铭
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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