System and method for estimating power consumption of electric apparatus, and abnormality alarm system utilizing the same

• US 6,816,078 B2
• Filed: 10/08/2002
• Issued: 11/09/2004
• Est. Priority Date: 04/12/2000
• Status: Expired due to Fees

• Current Assignee: Central Research Institute of Electric Power Industry
• Original Assignee: Central Research Institute of Electric Power Industry
• Inventors: Yoshimoto, Katsuhisa, Onoda, Takashi, Nakano, Yukio
• Primary Examiner(s): Wu, Daniel J.
• Assistant Examiner(s): Nguyen, Tai T.
• Application Number:
  US10/257,102
• Publication Number:
  US 20030093390A1
• Time in Patent Office: 763 Days
• Field of Search: 340/658, 340/660, 340/657, 340/870.11, 340/310.08, 340/656, 705/412
• US Class Current: 340/658
• CPC Class Codes: G01D 2204/24 Identification of individual loads, e.g. by analysing current/voltage waveforms
• CPC Class Codes: G01R 22/00 Arrangements for measuring time integral of electric power or current, e.g. electricity meters
• CPC Class Codes: G01R 22/063 related to remote communication
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

A method and a system for estimating electricity consumption of electric appliances and an abnormality alarm system, enabling estimation of individual electricity consumption of electric appliances in operation in a building or the like by a non-intrusive method, and comprising a measuring sensor (11), data extracting means (12), and estimating means (13) such as an LMC. The estimating means (13) learns based on a training set in advance, and is able to estimate individual electricity consumption of electric appliances in operation. Fundamental and higher harmonics of total load current and their phase differences from voltage are obtained by the data extracting means (12) from measurement data V_A, V_B, I_A, I_B detected by an instrument transformer (111) and an instrument current transformer (112) provided in the vicinity of a service entrance 6 of a feeder 4 to a user 2. They are inputted to the estimating means (13) as inputs, thereby estimating individual electricity consumption of the electric appliances.

Claims

1. A method for estimating individual electricity consumption of a plurality of electric appliances used by a user, said method comprising:

previously creating a model for estimating electricity consumption of each electric appliance from relationship between data concerning fundamental and higher harmonics of total load current and their phase differences from voltage from said total load current and voltage obtained from combinations of various use states of a plurality of electric appliances and electricity consumption of a plurality of said electric appliances used in obtaining said data; and

obtaining electricity consumption of individual electric appliance in operation by using said model for estimating electricity consumption of each electric appliance from said fundamental and higher harmonics of said total load current and said their phase differences from voltage obtained from said total load current and voltage measured in a vicinity of a service entrance into said user.

2. An electric appliance electricity consumption estimation system for estimating individual electricity consumption of a plurality of electric appliances used by a user, said system comprising:

a measuring sensor set in a vicinity of a service entrance into said user;

data extracting means for fetching data concerning fundamental and higher harmonics of total load current and their phase differences from voltage obtained from said total load current and voltage detected by said measuring sensor; and

estimating means for estimating individual electricity consumption of electric appliances in operation by using a model, said model being previously created for estimating electricity consumption of each electric appliance from relationship between data concerning said fundamental and higher harmonics of said total load current and said their phase differences from voltage from said total load current and voltage obtained from combinations of various use states of a plurality of electric appliances and electricity consumption of a plurality of said electric appliances used in obtaining said data, and by receiving said fundamental and higher harmonics of said total load current and said their phase differences from voltage as inputs.

3. The electric appliance electricity consumption estimation system according to claim 2 wherein said estimating means can be obtained by providing an estimation algorithm with a training set consisting of data concerning said fundamental and higher harmonics of said total load current and said their phase differences from voltage from said total load current and voltage obtained from said combinations of various use states of a plurality of electric appliances and individual electricity consumption data of said electric appliances, which is a set of solutions, with respect to various kinds of combinations of a plurality of electric appliances and combinations of individual electricity consumption in various operating status of said electric appliances, and causing said estimation algorithm to learn parameters of an electricity consumption curve to generate an approximate electricity consumption curve.

4. The electric appliance electricity consumption estimation system according to claim 3, wherein said estimating means uses an estimation algorithm of a large margin classifier.

5. An abnormality alarm system which determines safety of a resident in a household, safety in said household, presence/absence of abnormality of electric appliances or electric systems from an operating status of said electric appliances obtained by said electric appliance electricity consumption estimation system set forth in claim 4 and transmits information about the determination to an outside.

6. The electric appliance electricity consumption estimation system according to claim 3 wherein said estimating means uses an estimation algorithm of a neural network.

7. An abnormality alarm system which determines safety of a resident in a household, safety in said household, presence/absence of abnormality of electric appliances or electric systems from an operating status of said electric appliances obtained by said electric appliance electricity consumption estimation system set forth in claim 6 and transmits information about this determination to an outside.

8. An abnormality alarm system which determines safety of a resident in a household, safety in said household, presence/absence of abnormality of electric appliances or electric systems from an operating status of said electric appliances obtained by said electric appliance electricity consumption estimation system set forth in claim 3 and transmits information about this determination to an outside.

9. An abnormality alarm system which determines safety of a resident in a household, safety in said household, presence/absence of abnormality of electric appliances or electric systems from an operating status of said electric appliances obtained by said electric appliance electricity consumption estimation system set forth in claim 3 and transmits information about this determination to an outside.