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Loss prediction method for large-scale wind power-accessed power grid

A technology of access to the power grid and prediction method, applied in electrical components, circuit devices, AC network circuits, etc., can solve the problems of inability to effectively account for node injection power fluctuations and low network loss prediction accuracy.

Inactive Publication Date: 2012-10-03
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to propose a network loss prediction method after large-scale wind power is connected to the power grid, which is used to solve the problem that the commonly used network loss prediction method after wind power is connected to the power grid cannot effectively take into account the influence of node injection power fluctuations on network loss The network loss prediction accuracy caused by the impact is not high

Method used

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  • Loss prediction method for large-scale wind power-accessed power grid
  • Loss prediction method for large-scale wind power-accessed power grid
  • Loss prediction method for large-scale wind power-accessed power grid

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Embodiment 1

[0026] figure 1 It is a flow chart of the network loss prediction method after large-scale wind power is connected to the grid. figure 1 Among them, the network loss prediction method after the large-scale wind power is connected to the power grid provided by the present invention includes:

[0027] Step 1: Input system data and wind farm data, including the rated power of the wind turbine, the rated wind speed of the wind turbine, wind speed, cut-in wind speed, cut-out wind speed, wind speed distribution parameters, active output of the generator set, and normal operation of the generator set Probability, active output value of generator set in normal operation, expected value of load active power, variance of load active power and load active power value; the wind speed distribution parameters include shape parameters, scale parameters and location parameters.

[0028] Step 2: Determine the probability distribution curve of wind farm output, the probability distribution cur...

Embodiment 2

[0067] According to the above method, this embodiment adopts such as figure 2 IEEE 30-node system shown ( figure 2 is the system wiring diagram) as a verification model, the analysis is as follows:

[0068] It is assumed that the wind farm is connected to the 29th node of the IEEE30 power-saving system through a transformer and a 110kV line, and the line parameter of the wind farm access system is 12.6+j24.96Ω. The mathematical expectation of the injected power of each node of the system can be obtained from the probability distribution curves of wind farm output, generator output and load, as shown in Table 1.

[0069]

[0070] Table 1: Mathematical expectation of injected power at each node

[0071] By calculating the semi-invariant of the network loss power, and using the Gram-Charlier series expansion to obtain the network loss probability distribution curve of the system in one day [0,24h] (h represents the hour) ( image 3 ), from which we can know the network lo...

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Abstract

The invention discloses a loss prediction method for a large-scale wind power-accessed power grid and belongs to the technical field of control and prediction of grid-connected power generation of a wind farm. The method comprises the following steps: determining an output probability distribution curve of the wind farm, as well as an output probability distribution curve and a load probability distribution curve of a generator according to the system data and wind farm data; calculating the expectation value of power injection of each node, as well as semi invariant of each order of wind farm injection power, generator injection power and the load power of each node; counting out a coefficient matrix according to the injection power expectation value of each node; counting out the semi invariant of each order of injection power of each node according to the obtained semi invariant; counting out loss power of each node according to the coefficient matrix and the semi invariant of each order of injection power of each node, so as to obtain a probability density function and a cumulative distribution function of the loss; and calculating out the loss electricity quantity in set time section according to the cumulative distribution function. Due to the adoption of the method, the loss of the large-scale wind power-accessed power grid can be accurately and quickly predicted.

Description

technical field [0001] The invention belongs to the technical field of wind farm grid-connected power generation control and prediction, and in particular relates to a network loss prediction method after large-scale wind power is connected to a power grid. Background technique [0002] With the vigorous development of new energy in the world and the rapid progress of science and technology, my country's wind power industry has developed rapidly, and the progress of wind power grid-connected technology is closely related to the development of the national economy. It is of great significance to study the impact of large-scale wind power integration on the power grid. Under the power market mode, especially after the large-scale wind power is connected, the mode and method of power grid operation have undergone great changes. In load distribution, simple, accurate and rapid prediction of power grid loss is particularly important. [0003] The traditional methods for calcula...

Claims

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Application Information

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IPC IPC(8): H02J3/00G06F19/00
Inventor 刘文颖秦睿文晶姚旭葛润东智勇但扬清梁琛吴晓丹邢延东杨楠崔力心刘茜邢晶赵子兰谢昶徐鹏李波金娜杜珣李亚龙卢甜甜梁才周海洋门德月王久成李扬刘景延王佳明杨斌曹俊龙梁纪峰杜波吴耀昊钟佳辰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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