Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for detecting abnormal power consumption behavior of power consumer

A technology for abnormal power consumption and power users, applied in data processing applications, character and pattern recognition, instruments, etc., can solve problems such as unable to monitor power line data, achieve rational distribution of power, and avoid the effect of stealing power

Active Publication Date: 2021-11-26
HUAQIAO UNIVERSITY
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Early circuit breakers only had the function of opening the circuit, breaking the normal load current and fault current, and could not monitor the power data on the line

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
  • Method and system for detecting abnormal power consumption behavior of power consumer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be further described below through specific embodiments.

[0042] see figure 1 , a method for detecting abnormal power consumption behavior of power users, comprising the following steps:

[0043] 1) Obtain user electricity consumption data through non-intrusive load monitoring. Among them, the user's electricity consumption data at least includes the energy consumption of the electrical equipment and the user's electricity consumption pattern.

[0044] Specifically, install meters or sensors at the power entrance to monitor and collect end-user data, and analyze the collected data in detail to extract the characteristics of the load to identify the load. The essence is load decomposition, that is, the total load information of users It is decomposed into the information of each electrical equipment, and then the power consumption information such as the energy consumption of the electrical equipment and the power consumption pattern of the ...

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 discloses a method and a system for detecting abnormal power consumption behaviors of a power consumer. The method comprises the following steps: 1) obtaining user power consumption data through non-intrusive load monitoring; 2) processing the user power consumption data by adopting a deep Q network learning method to obtain a user power consumption behavior pattern pattern, wherein the user power consumption behavior pattern pattern comprises a checked abnormal user power consumption behavior pattern pattern; 3) extracting power consumption behavior characteristics from the checked abnormal user power consumption behavior pattern graph; 4) establishing a plurality of analysis models according to the extracted power utilization behavior characteristics; 5) adopting a Q network learning method to train and evaluate the plurality of analysis models, and selecting the analysis model with the optimal evaluation effect; and 6) detecting whether the power consumption behavior of the user is abnormal or not by adopting the analysis model with the optimal evaluation effect. Through monitoring and reasonable extraction and utilization of the electric energy data, reasonable power distribution of the power distribution network is facilitated, and the existing electric energy is used at the maximum efficiency.

Description

technical field [0001] The invention relates to the field of non-intrusive power distribution detection, in particular to a method and system for detecting abnormal power consumption behavior of power users. Background technique [0002] With the continuous improvement of informatization and digitalization, the era of big data has come. It has become an important task to dig out valuable information from massive and redundant data with low value, and extract common parts to form an effective mathematical model. Hot issues that all walks of life pay close attention to. For the power industry, with the continuous improvement of the informatization level of the power system and the rapid growth of the data volume of power distribution, various supporting devices and systems have a large amount of data to be processed, the data types are complicated, the data scale is huge, and the data content There is a lot of event information contained, but now we still face the important 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): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/0631G06Q50/06G06F18/211G06F18/23213Y02P90/82Y02D10/00
Inventor 项雷军黄旭辉陈昊张熠莹
Owner HUAQIAO UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products