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Method for calculating probabilistic load flow of power system based on diverse random variables

A technology of random variables and probability currents, applied to AC networks, circuit devices, AC network circuits, etc. with the same frequency from different sources, can solve problems such as low calculation accuracy, slow calculation speed, and large calculation errors

Active Publication Date: 2017-05-31
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

Although the semi-invariant method has many advantages above, it still has the following two kinds of errors: 1) linearization error
The nonlinear power flow equation is linearized by Taylor series expansion ignoring higher-order terms, and the process produces linearization errors
However, the above three probabilistic power flow algorithms have large calculation errors when considering the power system probabilistic power flow problems with continuous and discrete random variables at the same time.
Moreover, the existing probabilistic power flow algorithm has low calculation accuracy and slow calculation speed

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  • Method for calculating probabilistic load flow of power system based on diverse random variables
  • Method for calculating probabilistic load flow of power system based on diverse random variables
  • Method for calculating probabilistic load flow of power system based on diverse random variables

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Embodiment Construction

[0034] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0035] In embodiment one, see figure 1 As shown, the present invention proposes a calculation method of the power system probability flow based on various random variables, including steps:

[0036] S100, using the semi-invariant method to calculate the power flow response generated by the continuous random variable;

[0037] S200, using multiple deterministic power flows to calculate power flow responses generated by discrete random variables;

[0038] S300, performing convolution processing on the calculation results of the above two steps to obtain the power flow response when continuous and discrete random variables act together.

[0039] The specific technical scheme is as follows:

[0040] S100. Using the semi-invariant method to calculate the power flow response...

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Abstract

The invention discloses a method for calculating probabilistic load flow of a power system based on diverse random variables. The method comprises the steps: S100. calculating load flow response generated by random variables of continuous type by using a semi-invariant method; S200. calculating load flow response generated by random variables of discrete type by using repeatedly-determined load flow; S300. carrying out convolution processing on calculated results obtained in the above two steps, so as to obtain load flow response during combined action of the random variables of the continuous and discrete types. According to the method, operations of the random variables of the continuous and discrete types in the calculation of the probabilistic load flow of the power system can be taken into account simultaneously, so that the calculation accuracy is high, and the calculating speed is high.

Description

technical field [0001] The invention belongs to the technical field of power system power flow calculation, in particular to a calculation method of power system probability flow based on various random variables. Background technique [0002] Probabilistic power flow is a probabilistic analysis method for effectively studying the influence of random factors on power systems. Its concept was first proposed by Borkwska in 1974. In actual power system operation, changes in weather conditions or human operations produce many random factors, such as: load fluctuations, fluctuations in photovoltaic, wind power, and fuel cell output. Deterministic power flow calculation cannot comprehensively analyze the impact of random factors on power system operation. On the contrary, the probability power flow can fully consider random factors, and easily obtain the probability distribution and statistical characteristics of the power flow response (node ​​voltage, branch power flow). There...

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Application Information

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IPC IPC(8): H02J3/06
CPCH02J3/06H02J2203/20
Inventor 郭智祺张雪霞陈维荣
Owner SOUTHWEST JIAOTONG UNIV
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