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Latin hypercube sampling method probabilistic power flow calculation method based on normal Copula function

A technology of probabilistic power flow calculation and Latin hypercube, which is applied to AC networks, AC network circuits, electrical components, etc. with the same frequency from different sources, to reduce the number of samples, reduce calculation time, and improve calculation accuracy.

Active Publication Date: 2016-07-20
NARI TECH CO LTD +2
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Problems solved by technology

[0003] However, the above-mentioned probabilistic power flow calculation method based on the simulation method is based on a scenario where random variables are independent of each other, but in fact, the output of new energy power generation in geographically adjacent locations is related. How to consider the variables of new energy power generation while ensuring the calculation speed Correlation and improving calculation accuracy are the problems to be solved by current probabilistic power flow calculation methods

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  • Latin hypercube sampling method probabilistic power flow calculation method based on normal Copula function
  • Latin hypercube sampling method probabilistic power flow calculation method based on normal Copula function
  • Latin hypercube sampling method probabilistic power flow calculation method based on normal Copula function

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[0024] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0025] Probabilistic power flow calculation method based on the normal Copula function of the Latin hypercube sampling method, such as figure 1 shown, including the following steps:

[0026] Step 1. According to the correlation coefficient matrix of the new energy power generation power variable, use the normal Copula function to generate a random number matrix that satisfies the correlation of the new energy power generation power variable;

[0027] Step 2, using the Latin hypercube sampling method to sample the random number matrix generated in step 1, and establish a sample matrix of the new energy generation power variable according to the inv...

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Abstract

The invention discloses a Latin hypercube sampling method probabilistic power flow calculation method based on a normal Copula function. The method is characterized by comprising the following steps: 1) according to the correlation coefficient matrix of a new energy generated output variable, utilizing the normal Copula function to generate a random number matrix which meets the correlation of the new energy generated output variable; 2) utilizing the Latin hypercube sampling method to sample the random number matrix generated in the 1), and establishing a sample matrix of the new energy generated output variable according to the inverse function of the cumulative distribution function of the new energy generated output variable; and 3) taking the sample matrix, which is established in the 2), of the new energy generated output variable as an input quantity to carry out probabilistic power flow calculation, obtaining a discrete result of an output variable, and utilizing nuclear density estimation to fit the discrete result of the output variable to obtain the probability density function of the output variable. Calculation time is shortened while calculation precision is improved.

Description

technical field [0001] The invention relates to a probability power flow calculation method of a Latin hypercube sampling method based on a normal Copula function. Background technique [0002] At present, the probabilistic power flow calculation methods are roughly divided into simulation methods, approximate methods and analytical methods. Among them, the representative of the simulation method is the Monte Carlo simulation method. The traditional Monte Carlo simulation method uses random sampling technology to extract samples of input variables, and performs multiple deterministic power flow calculations to obtain the probability distribution of output variables. The accuracy is very high. But it takes quite a long time. The application number is 201510231147.6, and the invention name is the bidirectional iterative parallel probability flow calculation method combined with Latin hypercube sampling. It adopts the improved Monte Carlo simulation method based on Latin hyper...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/06
CPCH02J3/00H02J3/06H02J2203/20
Inventor 戴则梅喻洁刘莉莉陈仁思葛俊贺文宁波张慧玲韩红卫丁恰张丙金
Owner NARI TECH CO LTD
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