A Classification Method of Power Users Based on Adaptive Particle Swarm Clustering
A classification method and technology for power users, applied in data processing applications, instruments, calculations, etc., can solve the problems of difficulty in determining the number of clusters, large noise interference of clustering algorithms, etc., to improve search efficiency and convergence speed, and initial value impact. Small, reduced sensitivity effect
Active Publication Date: 2021-06-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] The purpose of the present invention is to provide a power user classification method based on adaptive particle swarm clustering, realize the classification of power users according to the load curve shape, and solve the problems of large noise interference and difficult determination of the number of clusters in the clustering algorithm.
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
[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0034] The present invention provides a technical solution: a power user classification method based on adaptive particle swarm clustering, the method includes the steps of:
[0035] A. Standardize the original load curve data;
[0036] B. Removal of interfering loading curves by a density-based data screening method;
[0037] C. Use the adaptive particle swarm optimization algorithm to cluster the residual load curve data;
[0038] D. Coagulate the clusters of the clusters through the fuzzy clustering algorithm;
[0039] E. Reclassify the disturbance load curves based on the principle of pattern recognition to obtain clustering results.
[0040] The overall operation process of the proposed method of the present invention is as follows: figure 1 shown.
[0041] For step A, the raw load data to be processed should be selected first. Generally, the user'...
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
A power user classification method based on adaptive particle swarm clustering, the method steps comprising: A. standardizing the original load curve data; B. removing data noise through a density-based data screening method, that is, disturbing the load curve; C. Use the adaptive particle swarm optimization algorithm to cluster the remaining load curve data; D. Use the fuzzy clustering algorithm to agglomerate the clusters; E. Based on the principle of pattern recognition, reclassify the disturbance load curve to obtain the cluster result. Through the power user classification method based on adaptive particle swarm clustering of the present invention, the classification of power users based on the load curve can be realized, and it is suitable for the analysis of user power consumption behavior in the field of demand response. By integrating the DBSCAN algorithm and fuzzy mathematics theory , which can effectively remove data noise and reduce the sensitivity to the number of clusters. At the same time, the adaptive particle swarm optimization algorithm is less affected by the initial value, has fast convergence and is not easy to fall into local optimum, and improves the clustering accuracy.
Description
technical field [0001] The invention relates to a method for power system load analysis, in particular to the classification of power users in demand response and the method for analyzing power consumption behavior of users, and belongs to the field of power demand response analysis. Background technique [0002] Electric load is an important object in power system research. Load classification is the basic work of load forecasting and power grid planning. important step. Therefore, it is of great significance to study the classification of user load and further analyze the user's electricity consumption behavior and law to improve the service level of power companies, improve the economic benefits of enterprises, and promote the development of power demand response. [0003] The traditional load classification is based on the industry the user belongs to. Users can be roughly divided into industrial users, commercial users and residential users, and can be further subdivid...
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): G06Q10/06G06Q50/06G06K9/62G06N3/00
Inventor 曹昉李赛张姚
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)