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DC probabilistic load flow method for classification processing of load and wind speed correlation

A probabilistic power flow and processing load technology, which is applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as large amount of calculation, long time-consuming, underutilization, etc., to reduce the amount of calculation, The effect of improving efficiency

Active Publication Date: 2017-03-22
NANJING UNIV OF SCI & TECH
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Problems solved by technology

They use the same method to deal with the correlation of random variables with different probability distribution characteristics, and do not make full use of the convenience of the normal distribution load in calculating the correlation, so the calculation is large and time-consuming.

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  • DC probabilistic load flow method for classification processing of load and wind speed correlation
  • DC probabilistic load flow method for classification processing of load and wind speed correlation
  • DC probabilistic load flow method for classification processing of load and wind speed correlation

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present invention.

[0037] Such as figure 1 As shown, a DC probabilistic power flow calculation method that classifies and deals with load correlation and wind speed correlation includes the following steps:

[0038] Step 1: According to the DC power flow model, the linear expression of the line flow power is obtained, and it is divided into three parts: generator output, wind farm output, and load demand. From the DC power flow model, we can get:

[0039]

[0040] Among them, B is the imaginary part matrix of the node admittance matrix, and B' is the matrix after B removes the balance node, so B' has an inverse matrix, P ij is the flow power of line i-j, δ ij is the phase angle difference between the first...

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Abstract

The invention provides a DC probabilistic load flow method for classification processing of load and wind speed correlation. The DC probabilistic load flow method comprises the steps of: adopting a Monte Carlo method based on Latin hypercube sampling to calculate a probability density curve of total wind electricity power of a related wind power plant; utilizing the feature that load is generally in normal distribution, and calculating a normal distribution function of total load rapidly by adopting an analytical method; and finally adopting a convolution method for synthesizing two kinds of probability calculation results. Since the generation and sampling of load samples are avoided when processing correlated load, the DC probabilistic load flow method can significantly improve the probabilistic load flow calculation efficiency while ensuring precision, and is of great significance in system planning, operational risk assessment and the like.

Description

technical field [0001] The invention belongs to the technical field of power system operation, analysis and control, in particular to a DC probability flow method for classifying and processing the correlation between load and wind speed. Background technique [0002] During the operation of the current power system with large-scale wind farms connected to the grid, the output and load demand of wind farms are not only uncertain, but also correlated due to reasons such as weather and geographical location. For example, when it is hot, most of the air conditioners are turned on, resulting in a relatively high load, and the load is generally low at night; and the wind speeds of wind farms with similar geographical locations or the same terrain are roughly the same, which also has a strong correlation. If these correlations are not taken into account, large errors may occur in the probability distribution of system power flow, thus causing system planning and operation risk ass...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38G06F19/00G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 殷明慧夏方涛侯洋李伟杰郑冉张刘冬姚娟卜京谢云云蔡晨晓
Owner NANJING UNIV OF SCI & TECH
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