Regional wind power prediction method based on spatial and temporal distribution characteristics
A technology for wind power prediction and spatiotemporal distribution, applied in electrical components, circuit devices, AC network circuits, etc.
Active Publication Date: 2013-12-11
XI AN JIAOTONG UNIV
View PDF1 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] The purpose of the present invention is to provide a regional wind power prediction method that considers the temporal and spatial distribution characteristics of wind farms to solve the problem of wind power prediction in the entire region, especially the regional wind power prediction problem when the power of a single wind farm cannot be predicted
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0060] The present invention is described in further detail below in conjunction with accompanying drawing:
[0061] see Figure 1-4
[0062] The module flow of regional wind power forecasting is as follows: figure 1 As shown, the specific program flow is as follows figure 2 shown. Specific steps are as follows:
[0063] 1. Divide into sub-regions.
[0064] According to the geographical distribution of wind farms, the location where wind farms are connected to the power system, and the characteristics of wind energy in the region, the entire region can be divided into several sub-regions. In the example of the present invention, sub-regions are divided according to the geographical distribution of wind farms.
[0065] 2. Select several benchmark wind farms for each sub-region, figure 2 WF1 is the selected benchmark wind farm, and WF2 is the rest of the wind farms. The selection process is as follows:
[0066] ●Calculate the correlation coefficient between the measur...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a regional wind power prediction method based on spatial and temporal distribution characteristics, and the method can be used for solving the problem in the prediction of wind power of a whole region, especially the prediction of regional wind powers when the power of a single wind power plant cannot be predicted. The regional wind power prediction method aims at providing more reliable data for power grid dispatching and further improving the capability of the wind power in connection with a power system and comprises the following steps of: dividing sub regions, selecting a reference wind power plant, predicting the power of the reference wind power plant, establishing a model for predicting the wind powers of sub regions, and the like. The regional wind power prediction method based on the spatial and temporal distribution characteristics is irrelevant to prediction methods specifically adopted by wind power plants, can be combined with various wind power plant predicting models, and is stronger in versatility and engineering practicability. The prediction accuracy of regional wind power predicted by adopting the regional wind power prediction method disclosed by the invention is higher than that of the regional wind power predicted by adopting a method of simply and directly adding, and therefore, the requirements of dispatching can be better met.
Description
technical field [0001] The invention belongs to the field of wind power forecasting, in particular to a forecasting method for the sum of output of all wind farms in a region. Background technique [0002] Due to the huge amount of wind energy, wide distribution, cleanliness and no pollution, wind power generation has developed rapidly all over the world. However, due to the characteristics of randomness and volatility of wind energy, the large-scale connection of wind power will have a huge impact on the power system, so it is necessary to predict the wind power connected to the system. [0003] Considering that the installed capacity of each wind farm is different and the geographical distribution is different, directly predicting the sum of the power of all wind farms in the area can smooth the output of each wind farm and make the prediction result more accurate. It is more practical for dispatchers to schedule operations based on the overall predicted power across the ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00G06F19/00
Inventor 别朝红贺旭伟安佳坤陈筱中
Owner XI AN JIAOTONG UNIV