Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Power utilization analysis method based on acquisition data of power utilization information

A technology of electricity consumption information and data collection, applied in the field of electricity consumption analysis, can solve problems such as low accuracy, difficult decision-making basis, and difficult monitoring, so as to improve accurate investigation, reduce losses, and ensure the reliability and safety of electricity consumption Effect

Inactive Publication Date: 2017-02-22
STATE GRID ZHEJIANG ELECTRIC POWER +2
View PDF3 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, due to the requirements of refined and lean management, these real-time data are discrete information, the accuracy is not high, and there are timing differences in information from different sources.
Analysis and monitoring are difficult and have low accuracy, making it difficult to serve as a basis for decision-making

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power utilization analysis method based on acquisition data of power utilization information
  • Power utilization analysis method based on acquisition data of power utilization information
  • Power utilization analysis method based on acquisition data of power utilization information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] Such as figure 1 Shown, the present invention comprises the following steps:

[0034] 1) Obtain the user's daily time-sharing load statistical data details;

[0035] 2) Group the detailed data by users and industries respectively to obtain user load statistics and industry load statistics;

[0036] 3) Normalize the user load statistical data and industry load statistical data; make each index at the same order of magnitude, and eliminate the dimensional influence between indicators;

[0037] 4) Carry out k-means clustering calculation on the normalized data to obtain the characteristic load curve of each industry and each user;

[0038] 5) Adjust the number of generated curves, obtain and mark each clearly characterized curve, and at the same time correspond to each industry and each user with their respective characteristi...

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

No PUM Login to View More

Abstract

The invention relates to a power utilization analysis method based on acquisition data of power utilization information, and relates to a power utilization analysis method. At present, power utilization is difficult to be analyzed and monitored, and the accuracy is low. The power utilization analysis method comprises the steps of 1) acquiring daily time-sharing load statistic data details of users; 2) grouping the detail data according to users and industries; 3) performing normalization processing; 4) performing k-means clustering calculation to acquire characteristic load curves of each industry and each user; 5) adjusting the number of the generated curves, acquiring obviously characterized curves, labeling the acquired curves, and corresponding each industry and each user to the respective characteristic load curves; and 6) extracting characteristic users according to the characteristic load curves, and performing comparative analysis on the characteristic load curves. The technical scheme provided by the invention improves the accuracy of a power utilization information acquisition system, and provides basic guarantee for supporting execution of tiered pricing for electricity, reinforcing lean management, improving the high-quality service level, extending the power market and innovating the transaction platform.

Description

technical field [0001] The invention relates to an electricity consumption analysis method, in particular to an electricity consumption analysis method based on data collection of electricity consumption information. Background technique [0002] Since 2010, the construction of the electricity consumption information collection system has been comprehensively promoted. As of July 2014, the 27 units of the State Grid have all launched the construction of electricity consumption information collection systems. The full-caliber users have achieved collection coverage of 230 million households, and the collection coverage rate has reached 66.98%. The proportion of collected electricity to total electricity sales has reached 93.49%. The electricity consumption information collection system consists of a system master station, a transmission channel, a collection terminal and a smart meter. [0003] The system master station is responsible for the collection, storage, analysis, p...

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
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F17/30
CPCG06F16/35G06Q10/06315G06Q50/06
Inventor 蒋锦霞裴旭斌朱青山戴波黄宇腾何东
Owner STATE GRID ZHEJIANG ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products