A Non-Intrusive Identification Method of Inverter Air Conditioner Based on Piecewise Linear Approximation Algorithm

A frequency conversion air conditioner and piecewise linear technology, applied in the field of non-intrusive identification of frequency conversion air conditioners, can solve problems such as inapplicable identification of frequency conversion air conditioners

Active Publication Date: 2022-04-26
STATE GRID HUNAN ELECTRIC POWER +2
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Chinese patent document with the application number 201611063341.9 discloses a non-intrusive identification method for non-inverter air conditioners based on current second harmonics and reactive power. However, the load characteristics of inverter air conditioners and non-inverter air conditioners are completely different, so this method does not Suitable for identifying inverter air conditioners

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
  • A Non-Intrusive Identification Method of Inverter Air Conditioner Based on Piecewise Linear Approximation Algorithm
  • A Non-Intrusive Identification Method of Inverter Air Conditioner Based on Piecewise Linear Approximation Algorithm
  • A Non-Intrusive Identification Method of Inverter Air Conditioner Based on Piecewise Linear Approximation Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] Such as figure 1 As shown, the non-intrusive identification method of the inverter air conditioner based on the piecewise linear approximation algorithm in this embodiment includes:

[0042] 1) Obtain the current sequence I(t) and voltage sequence U(t) sampled at the entrance of the user's power supply;

[0043] 2) Perform fast Fourier transform on the current sequence I(t) and voltage sequence U(t) of the specified length, extract the frequency-domain harmonic characteristics corresponding to the current and voltage, and calculate the real-time active power sequence P(t), real-time Reactive power sequence Q(t);

[0044] 3) Convert the nonlinear curve corresponding to the real-time active power sequence P(t) into a piecewise linear approximation curve composed of several broken line segments, and record the start and end points of ea...

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 non-intrusive identification method for variable frequency air conditioners based on a piecewise linear approximation algorithm, which includes collecting current sequences and voltage sequences for fast Fourier transformation, calculating real-time active power and real-time reactive power; fitting active power curves It is a multi-segment broken line segment, and calculates the electrical characteristic quantities corresponding to the active power and reactive power curves; if a rising step of active power is detected, and the rising ratio of active power is less than a given threshold, and there is no step of reactive power, frequency conversion is performed Judgment on the start of the air conditioner; otherwise, it is judged that other electrical appliances are started. If a step of active power drop is detected, the information of the above steps is combined to determine that the inverter air conditioner or other electrical appliances are turned off. The invention can accurately and quickly analyze and identify the frequency conversion air conditioner inside the user from the total load waveform, expands the types of electrical appliances that can be identified by the non-intrusive load identification algorithm, and provides a data basis for supporting two-way interactive services and intelligent energy consumption services.

Description

technical field [0001] The invention relates to the technical field of intelligent electricity consumption detection, in particular to a non-invasive identification method of an inverter air conditioner based on a piecewise linear approximation algorithm. Background technique [0002] As one of the key links of a strong smart grid, "smart power consumption" and "green power consumption" technologies have developed rapidly in recent years. Zhongfa No. 9 document clearly stated that actively carry out demand-side management and energy efficiency management, and promote supply-demand balance and energy conservation and emission reduction through the use of modern information technology, cultivation of electric energy services, and implementation of demand response. On the power demand side, with the improvement of the living standards of urban residents in our country, the proportion of residential electricity consumption in the whole society is getting higher and higher. In 2...

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 Patents(China)
IPC IPC(8): G01R21/06G01R21/00
CPCG01R21/06G01R21/002G01R21/003
Inventor 陈卓陈骏星溆徐先勇田建伟程浩军
Owner STATE GRID HUNAN 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
Try Eureka
PatSnap group products