Stack denoising autocoder-based probabilistic power flow online calculation method

A technology for noise reduction, automatic coding, and probabilistic power flow. It is used in computing, instrumentation, design optimization/simulation, etc. It can solve problems such as low power flow calculation accuracy, speeding up power flow solution speed, and difficulty in online analysis.

Active Publication Date: 2018-07-20
CHONGQING UNIV
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AI Technical Summary

Problems solved by technology

Most of the improved iterative algorithms are based on Newton's method, such as fast decoupling method, quasi-Newton method, etc., which speed up the power flow solution to a certain extent, but iterative calculation is still required, so it is difficult to be

Method used

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  • Stack denoising autocoder-based probabilistic power flow online calculation method
  • Stack denoising autocoder-based probabilistic power flow online calculation method
  • Stack denoising autocoder-based probabilistic power flow online calculation method

Examples

Experimental program
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Effect test

Embodiment 1

[0088] see figure 1 and figure 2 , an online calculation method of probability power flow based on stacked denoising autoencoder, which mainly includes the following steps:

[0089] 1) Establish the SDAE probability power flow model.

[0090] further. The main steps to establish the SDAE power flow model are as follows:

[0091] 1.1) The active power of new energy nodes, the reactive power of new energy nodes, the active power of load nodes and the reactive power of load nodes in the power system are used as the original input X of the SDAE power flow model.

[0092] Corrode the original input X in a random mapping manner to obtain a locally corroded input The corrosion formula is as follows:

[0093]

[0094] In the formula, q D It is a corrosion process in the form of random mapping, that is, a certain number of original input X is randomly selected and set to zero. X is the original input of the SDAE power flow model.

[0095] 1.2) Corroded input Using the en...

Embodiment 2

[0164] see Figure 3 to Figure 6 , an experiment to calculate the probability power flow of power system by using the online calculation method of probability power flow based on stacked denoising autoencoder mainly includes the following steps:

[0165] 1) Establish the SDAE probability power flow model;

[0166] 2) Obtain the training samples of the SDAE probabilistic power flow model by monitoring the power system in real time, simulating and experimenting the power system, record the power flow values ​​of all training samples, and mark the unsolvable training samples of the power flow;

[0167] The basic data of the system in this embodiment refer to the IEEE39 standard system. It is assumed that the random characteristics of the loads of each node obey the normal distribution, and its standard deviation is 10% of the expected value of the load of each node; the wind speed obeys the two-parameter Weibull distribution, and the scale parameter is 2.016 , with a shape param...

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Abstract

The invention discloses a stack denoising autocoder-based probabilistic power flow online calculation method. The method mainly comprises the following steps of 1) building an SDAE probabilistic powerflow model; 2) obtaining training samples of the SDAE probabilistic power flow model; 3) initializing the SDAE probabilistic power flow model; 4) training the SDAE probabilistic power flow model to obtain a trained SDAE probabilistic power flow model; 5) obtaining calculation samples; 6) inputting calculation sample data obtained in the step 5) to the trained SDAE probabilistic power flow model in the step 4 once, obtaining training targets, thereby judging power flow solvability of all the training samples, and calculating power flow values of the solvable samples; and 7) performing statistics on probabilistic power flow indexes. The method can be widely applied to the probabilistic power flow online calculation of a power system, and is especially suitable for the situation of power system uncertainty enhancement due to high-ratio access of new energy.

Description

technical field [0001] The invention relates to the field of electric power system and automation thereof, in particular to an online calculation method of probability power flow based on a stacked noise-reduction autoencoder. Background technique [0002] Power systems essentially operate in uncertain environments. Probabilistic power flow can take into account the influence of uncertain factors, obtain the probability characteristics of system state variables, and use it in power system planning and operation. In recent years, due to the increasing penetration of renewable energy such as photovoltaics and wind power, the uncertainty of the power system has surged. In order to meet the requirements of power system operation and scheduling, the demand for online probabilistic power flow calculation is becoming more and more urgent. [0003] At present, the probabilistic power flow solution methods mainly include analytical method and simulation method. Analytical methods ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 余娟严梓铭任鹏凌郭林杨燕向明旭
Owner CHONGQING UNIV
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