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Grid network optimization method based on shortest feasible path and historical flow data

A technology for historical traffic and network optimization, which is applied in the field of grid network optimization based on the shortest reachable path and historical traffic data, and can solve problems such as real-time distribution information optimization and mechanical cutting of the distribution network that are not solved.

Active Publication Date: 2014-12-10
SHANGHAI JIAOTONG UNIV
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Problems solved by technology

However, this local optimization method is suspected of mechanical cutting, and it does not solve the problem of real-time power distribution information optimization in power distribution networks

Method used

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  • Grid network optimization method based on shortest feasible path and historical flow data
  • Grid network optimization method based on shortest feasible path and historical flow data
  • Grid network optimization method based on shortest feasible path and historical flow data

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Experimental program
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Embodiment

[0023] Such as figure 1 As shown, a power grid network optimization method based on the shortest reachable path and historical flow data, the method includes the following steps:

[0024] Step 1: Determine the size of the service radius, that is, the buffer radius. In this example, we use the simulated data set of the distribution network in Shanghai, according to the actual service radius of each substation, weighted by load percentage, and calculate the appropriate candidate service radius:

[0025] R = Σ i = 1 N ( q i Q ) * r i

[0026] where r i represents the actual service radius of the i-th substation, and q i then represents its load number, That is, the total load of all substations.

[00...

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Abstract

The invention relates to a grid network optimization method based on a shortest feasible path and historical flow data. The grid network optimization method comprises the following steps of: determining the service radius of a transformer substation, and calculating the total load number of electricity nodes in a buffer zone of the node service radius of the transformer substation, wherein the total load number serves as the load number of the transformer substation; carrying out spatial interpolation on the load nodes by virtue of a shortest accessible distance weighting method, thus obtaining a load optimizing distribution map on a continuous surface; optimizing the nodes of the transformer substation according to the load optimizing distribution map; and generating an operation condition and network flow distribution map of a distribution network in different periods according to the historical flow information of a distribution line and by virtue of load multiplying distance weighting method after the nodes of the transformer substation are optimized, and carrying out superposition intersection analysis, thus optimizing the distribution line. Compared with the prior art, the grid network optimization method provided by the invention has the advantages of being capable of efficiently and continuously optimizing the grid.

Description

technical field [0001] The invention relates to a method in the field of smart grid network optimization, in particular to a grid network optimization method based on the shortest reachable path and historical flow data. Background technique [0002] The visual optimization of smart grid is an important part of grid planning, reconstruction and operation management, and has a wide range of applications in substation layout, power distribution network, and power demand analysis and supply. The current distribution network optimization algorithm is mainly based on a certain optimization objective function, network planning and expansion, and finally achieve the global optimal. [0003] Most of the existing network optimization algorithms perform global optimization under certain objective constraints. As early as 2000, Wang Chunsheng et al. published the paper "Optimized Planning of Distribution Network Based on Geographic Information System and Genetic Algorithm" published o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
Inventor 盛斌吴丹李新马利庄
Owner SHANGHAI JIAOTONG UNIV