A method and system for establishing a neural network model for determining line losses in power grids
A neural network model and power grid line technology, which is applied in the field of power grid line loss modeling, can solve problems that affect the accuracy of the model, unfavorable model establishment, prolonging the time of neural network learning and training, etc., and achieve the effect of improving accuracy
Active Publication Date: 2022-07-01
CHINA ELECTRIC POWER RES INST +4
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In fact, among so many influencing factors, some factors will have little influence on the line loss. Such factors will not be conducive to the establishment of the model, prolong the learning and training time of the neural network, and affect the prediction accuracy of the built model.
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
[0078] Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for the purpose of this thorough and complete disclosure invention, and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings are not intended to limit the invention. In the drawings, the same elements / elements are given the same reference numerals.
[0079] Unless otherwise defined, terms (including scientific and technical terms) used herein have the meanings commonly understood by those skilled in the art. In addition, it is to be understood that terms defined in commonly used dictionaries should be construed as having meanings consistent with the context in the related art, and should not be construed as idealized or overly formal...
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 provides a method and system for establishing a neural network model for determining the line loss of a power grid. Aiming at the optimization problem of line loss modeling input, the method and system propose to use mutual information principle method to identify the strength of the main factors affecting line loss, and then based on the collected line loss and the training set in the sample set of influencing factors, The influencing factor groupings are sequentially substituted into the training neural network models, several neural network models are determined, and the test set in the sample set is used to determine the evaluation index of each neural network model, and then the evaluation index grouping is calculated and the average value of the evaluation index is determined to determine. It is used as the influencing factor of the input of the optimal neural network model, thereby improving the accuracy of the line loss prediction of the built neural network model.
Description
technical field [0001] The present invention relates to the field of power grid line loss modeling, and more particularly, to a method and system for establishing a neural network model for determining power grid line losses. Background technique [0002] With the rapid development of society and economy, the demand for energy is increasing day by day. The realization of energy-saving and low-carbon development has far-reaching significance for the green and sustainable development of the national economy. Electric energy, as an important secondary energy source, will cause a certain loss in line transmission. Due to the increasingly complex grid structure and huge scale of the power grid, the power loss in the line is also increasing. Therefore, how to establish a line loss model with high prediction accuracy has become a hot research topic in the power system in recent years. [0003] Due to the development and wide application of artificial neural network in recent years...
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): G06Q10/04G06Q10/06G06Q50/06G06N3/04
CPCG06Q10/04G06Q10/06393G06Q50/06G06N3/045
Inventor 刘丽平白江红江木张家安王宇星孙云超周前周琪岑炳成
Owner CHINA ELECTRIC POWER RES INST