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Natural gas network gas storage configuration method based on global sensitivity analysis

A technology of sensitivity analysis and configuration method, which is applied in the field of natural gas network storage configuration based on global sensitivity analysis, and can solve problems such as low calculation efficiency

Active Publication Date: 2020-01-21
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the Sobol’ method is a commonly used global sensitivity analysis method. The traditional Sobol’ method needs to be based on a large number of deterministic calculations, and the calculation efficiency is low.

Method used

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  • Natural gas network gas storage configuration method based on global sensitivity analysis
  • Natural gas network gas storage configuration method based on global sensitivity analysis
  • Natural gas network gas storage configuration method based on global sensitivity analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0101] see figure 1 , a natural gas network storage configuration method based on global sensitivity analysis, mainly includes the following steps:

[0102] 1) Obtain the parameters of the natural gas network and establish a steady-state energy flow model of the natural gas network.

[0103] The natural gas network parameters mainly include gas source parameters, pipeline parameters, node gas load A=[x 1 ,x 2 ,···,x N ] T , the rank correlation coefficient of the gas load and the initial value of the equilibrium node pressure.

[0104] 2) Based on the randomness and rank correlation of node gas loads in the natural gas network, a gas load probability model F(x) that obeys a normal distribution is established, and all gas loads are sampled based on this model to obtain a node gas load sample matrix X .

[0105] The main steps of probability sampling are as follows

[0106] 1) Suppose there is 1 balanced node and N-1 unbalanced nodes in the natural gas network. The balan...

Embodiment 2

[0187] A method for configuring gas storage in a natural gas network based on global sensitivity analysis, which mainly includes the following steps:

[0188] 1) Obtain the parameters of the natural gas network and establish a steady-state energy flow model of the natural gas network.

[0189] 2) Based on the randomness and rank correlation of node gas load in the natural gas network, a gas load cumulative probability model F(x) that obeys normal distribution is established, and the gas load A is sampled to obtain the node gas load sample matrix X.

[0190] 3) Establish a natural gas steady-state energy flow model, substitute each group of gas load samples into the model as a known quantity, and use Newton's method to solve it, and obtain the sample vector y of the output variable y ED .

[0191] 4) Based on the existing load variable matrix X and output variable vector y ED , using the sparse polynomial chaos expansion method to calculate the global sensitivity index S of t...

Embodiment 3

[0194] A natural gas network gas storage configuration method based on global sensitivity analysis, the main steps are shown in embodiment 2, wherein, the main steps of sampling to obtain the node gas load sample matrix X are as follows:

[0195] 1) Suppose there is 1 balanced node and N-1 unbalanced nodes in the natural gas network. The balance node number is recorded as 1. All unbalanced nodes are connected with gas load. The location set of natural gas network nodes is denoted as The set of all nodes directly connected to any node a in the network is denoted as Set the number of samples to N ED . Set N-dimensional independent standard normal variables ξ=[ξ 1 , ξ 2 ,···,ξ N ] T .

[0196] 2) Establish a gas load cumulative probability model F(x) that obeys a normal distribution, namely:

[0197]

[0198] In the formula, x represents the gas load. X is an actual value of gas load. mu x is the average gas load. The mean value of gas load μ x Equal to the ai...

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Abstract

The invention discloses a natural gas network gas storage configuration method based on global sensitivity analysis, which mainly comprises the following steps: 2) establishing a gas load probabilitymodel F (x) obeying normal distribution, and performing sampling to obtain a node gas load sample matrix X; and 2) substituting each group of samples of the load into steady-state energy flow calculation of the natural gas network to obtain an output variable yED, and calculating a global sensitivity index Si of the output variable yED about the node gas load. 3) determining that imax is a node gas load variable number in the maximum global sensitivity index formula; and setting a gas storage device at a node where the load variable imax is located. Based on the sparse polynomial chaos expansion method, the expression form of the output variable relative to the input uncertain variable can be quickly established, so that the global sensitivity analysis efficiency is effectively improved.

Description

technical field [0001] The invention relates to the field of natural gas network steady-state energy flow calculation, in particular to a natural gas network gas storage configuration method based on global sensitivity analysis. Background technique [0002] Energy flow calculation, as a basic method to obtain the state distribution of natural gas, is the basis of natural gas network operation and planning. In the actual system operation process, changes in random factors such as load fluctuations usually change the operating status of the natural gas network, and even cause negative effects that cannot be ignored. Usually, operators will configure gas storage in the natural gas network to improve the network pressure level and operational stability, but for economic considerations, it is often unreasonable to set up gas storage at all nodes. Therefore, quantitatively evaluating the influence of uncertain factors in the system on important state variables to identify key un...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/067G06Q50/06
Inventor 赵霞胡潇云冯欣欣李欣怡
Owner CHONGQING UNIV
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