GB2585588A - Non-intrusive load identification-based submetering smart electricity meter - Google Patents
Non-intrusive load identification-based submetering smart electricity meter Download PDFInfo
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- GB2585588A GB2585588A GB2014179.2A GB202014179A GB2585588A GB 2585588 A GB2585588 A GB 2585588A GB 202014179 A GB202014179 A GB 202014179A GB 2585588 A GB2585588 A GB 2585588A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/10—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods using digital techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/133—Arrangements for measuring electric power or power factor by using digital technique
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- General Physics & Mathematics (AREA)
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Abstract
A submetering smart electricity meter based on non-intrusive load identification, comprising a non-intrusive load identification module integrated at an inner part of a smart electricity meter, wherein the non-intrusive load identification module may be printed on a circuit main board of the smart electricity meter, or the non-intrusive load identification module is connected to the circuit main board of the smart electricity meter by means of a connector, and the non-intrusive load identification module is installed in a smart electricity meter box or in a module placement bin (1) of the smart electricity meter; and the non-intrusive load identification module is used to identify various types of loads installed indoors, separately calculate a submetering result for each load type, and output corresponding submetering results. Non-intrusive load identification is integrated with existing smart electricity meters, thus improving metering levels of the existing smart electricity meters, and providing more abundant power consumption information to a user. The present invention has good application prospects.
Description
SUBMETERING SMART POWER METER BASED ON NON-INTRUSIVE LOAD IDENTIFICATION
Technical Field
The present invention relates to a submetering smart power meter based on non-intrusive load identification, and relates to the technical field of power metering.
Background
Load identification technology is an emerging advanced measurement technology of a smart grid. Different from the current smart power meter which only measures the total power consumption of residential users, the load identification technology aims at acquiring fine-grained power utilization behavior behaviors of users, and is one of important research fields of smart power consumption.
The current load identification technology is classified into two methods: intrusive load identification method and non-intrusive load identification method. A smart socket is a representation of the intrusive load identification method, but needs to be installed inside the house, and has disadvantages such as difficulties in promotion and maintenance, low on-line rate, and high costs. The non-intrusive load identification method only needs to sample the voltage and current of the user total incoming line, and then to identify a load by means of an algorithm. The method has the advantages such as convenient installation and maintenance, non-inductive to a user, and easy large-scale promotion, has the disadvantage of slightly low identification accuracy, but is enough to satisfy the requirements of advanced applications for supply and demand interaction.
At present, the non-intrusive load identification method uses an external terminal mode, i.e., identification is performed between an external terminal and a plurality of current transformers in a standard meter box of the smart power meter. However, no position is available for such type of terminals in the standard meter box where smart power meters in the prior art are installed. In consideration of a measurement function of the smart power meter itself, advanced applications of a power consumption side such as demand response and energy efficiency analysis need to be implemented by means of the smart power meter in the future. Therefore, integrating the non-intrusive load identification method to the smart power meter is the only way, and how to implement the method is the current problem that needs to be solved.
Summary
The purpose of the present invention is to overcome the problem in the prior art that a non-intrusive load identification method uses an external terminal mode. According to a submetering smart power meter based on non-intrusive load identification of the present invention, non-intrusive load identification and the existing smart power meter are integrated as a whole; the existing smart power metering level is improved; more abundant power consumption information is provided for a user; the submetering result of each load type is covered and includes a load start/stop time, a load operation duration, and power consumption of the load of the load type and the present invention has a good application prospect.
To achieve the purpose above, the present invention adopts the following technical solutions: a submetering smart power meter based on non-intrusive load identification, including a non-intrusive load identification module integrated in the smart power meter, where the non-intrusive load identification module is printed on a circuit main board of the smart power meter, or the non-intrusive load identification module is connected to the circuit main board of the smart power meter by means of a connector, and the non-intrusive load identification module is installed in a module placement bin of the smart power meter; and the non-intrusive load identification module is configured to identify various types of loads installed indoors, respectively calculate a submetering results of each load type, and output the corresponding submetering result.
According to the foregoing submetering smart power meter based on non-intrusive load identification, the non-intrusive load identification module includes a signal input unit, a load identification and calculation unit, a load model library, and a communication unit, where the signal input unit is connected to a metering chip voltage and current acquisition signal line on the circuit main board of the smart power meter, a sampling signal is a digital signal, and a sampling frequency is less than 1 kHz; or the signal input unit is connected to voltage and current analog signal lines at an incoming line terminal of the smart power meter, the sampling signal is an analog signal, and the sampling frequency is in a range of 1 kHz-10 kHz; l0 the load identification and calculation unit is connected to the signal input unit, is configured to call the load model library and identify load types according to voltage and current signals received in real time, and further calculate the submetering result of each load type; the load model library is configured to store feature models of known loads classified according to load characteristics of an electric appliance, and is called by a load identification algorithm unit, where the feature model includes a fixed identifier and operation characteristic information of the load; and the communication unit is respectively connected to the load identification and calculation unit and the load model library, and is configured to output results of load type identification of the load identification and calculation unit and the submetering result of each load type, where an output mode includes on-site display and remote display.
According to the foregoing submetering smart power meter based on non-intrusive load identification, the load identification and calculation unit is connected to the signal input unit, and is configured to call the load model library and identify load types according to the voltage and current signals received in real time; the operation includes the following steps: step (A), extracting current sampling data in all acquisition periods within the current 2 minutes, and performing Fourier decomposition to obtain the lst-19th harmonic components in the current sampling data; step (B), respectively calculating differences between the 1st-19th harmonic components in the current sampling data and harmonic component feature values corresponding to the various types of loads in the load model library, and calculating a weighted sum value corresponding to each harmonic component; and step (C), selecting the smallest weighted sum value and a corresponding load type to complete the identification of the load type.
According to the foregoing submetering smart power meter based on non-intrusive load identification, the load identification and calculation unit further calculates the submetering result of each load type; the operation is to extract, according to the voltage and current signals received in real time, data required by submetering, where the data is a current value, a voltage value, a start/stop time, a duration, a start/stop current, each harmonic, a current waveform, and a crest coefficient.
According to the foregoing submetering smart power meter based on non-intrusive load identification, the submetering result of each load type includes a load start/stop time, a load operation duration, power consumption of the load, and load power of the load type, where the power consumption of the load refers to the sum of power consumed by the type of loads or the power consumed within a certain time period.
According to the foregoing submetering smart power meter based on non-intrusive load identification, the load model library is configured to store the feature models of the known loads classified according to the load characteristics of the electric appliance, and to learn and update itself by adding new load types to the load model library.
According to the foregoing submetering smart power meter based on non-intrusive load identification, the smart power meter is a single-phase smart power meter or a three-phase smart power meter.
According to the foregoing submetering smart power meter based on non-intrusive load identification, the non-intrusive load identification module further includes a power supply unit configured to provide a voltage for the non-intrusive load identification module.
The present invention includes the following beneficial effects: according to the submetering smart power meter based on non-intrusive load identification of the present invention, non-intrusive load identification and the existing smart power meter are integrated as a whole; the existing smart power metering level is improved; more abundant power consumption information is provided for a user; the submetering result of each load type is covered and includes a load start/stop time, a load operation duration, and power consumption of the load of the load type and the present invention has the following advantages.
(1) By combining submetering and the existing power meter technology, the appearance design of the existing smart power meter does not need to be changed; other existing functions of the power meter are not influenced; a current and voltage measurement circuit of the power meter is fully utilized to obtain information required by a submetering function and complete load identification and submetering; more refined submetering function is supplemented on the basis of the original functions of the power meter; and more abundant power consumption information and corresponding service are provided for the user.
(2) The non-intrusive submetering smart power meter does not need to be added with an additional terminal device; the layout and wiring of a meter box of the power meter keep unchanged; data acquisition may use the current existing acquisition system, and such power meter does not need to be installed inside the house, so that the difficulty in installation and maintenance is reduced to the maximum extent. The cost of the power meter added with the load identification module is not increased much, and the power meter may be updated in batches according to a power meter rotation strategy to reduce the installation costs.
(3) After the non-intrusive submetering smart power meter is installed, submetering power data, for example, contents such as a load type, load start/stop information, subentry load power consumption, subentry load energy consumption analysis, and energy-saving guidance, may be obtained by means of a handheld terminal such as a mobile phone; refined management of power on a power consumption side such as demand response is achieved by giving the load start/stop information, and a powerful means is provided for a country for implementing a national policy such as energy conservation and emission reduction.
Brief Description of the Drawings
FIG. 1 is a back view of a schematic diagram in which a non-intrusive load identification module is installed in a module placement bin of a smart power meter of the present invention; FIG. 2 is a schematic structural diagram of a module placement bin of the present invention; FIG. 3 is a connection schematic diagram in which an acquisition signal of a non-intrusive load identification module is a digital signal of the present invention; FIG. 4 is a connection schematic diagram in which an acquisition signal of a non-intrusive load identification module is an analog signal of the present invention; FIG. 5 is a system block diagram of a non-intrusive load identification module of the present invention.
Detailed Description
The present invention is further descried blow in combination with the accompanying drawings of the specification. The following embodiments are merely used for more clearly describing the technical solutions of the present invention, but are not intended to limit the scope of protection of the present invention.
A submetering smart power meter based on non-intrusive load identification of the present invention includes a non-intrusive load identification module integrated in a smart power meter, where: the non-intrusive load identification module is printed on a circuit main board of the smart power meter, or the non-intrusive load identification module is connected to the circuit main board of the smart power meter by means of a connector, and the non-intrusive load identification module is installed in a module placement bin of the smart power meter, where a schematic diagram in which the non-intrusive load identification module is installed in a module placement bin of a smart power meter is as shown in FIG. 1 and FIG. 2, the module placement bin is numbered as 1 and a smart power meter body is numbered as 2.
The non-intrusive load identification module is configured to identify various types of loads mounted indoors, respectively calculate a submetering result of each load type, and output the corresponding submetering result.
l0 As shown in FIG. 5, the non-intrusive load identification module includes a signal input unit, a load identification and calculation unit, a load model library, and a communication unit, where the signal input unit is connected to a metering chip voltage and current acquisition signal line on the circuit main board of the smart power meter, a sampling signal is a digital signal, and a sampling frequency is less than 1 kHz as shown FIG. 3; or the signal input unit is connected to voltage and current analog signal lines at an incoming line terminal of the smart power meter, the sampling signal is an analog signal, and the sampling frequency is in a range of 1 kHz-10 kHz as shown in FIG. 4.
The present invention uses two sampling modes, i.e., a digital signal sampling mode, which is convenient in wiring and facilitates installation, and an analog signal sampling mode, which is slightly inconvenient in installation, but has a higher sampling precision than the digital signal sampling mode; a user may select the modes according to requirements.
The non-intrusive load identification module includes the signal input unit, the load identification and calculation unit, the load model library, and the communication unit.
The non-intrusive load identification module further includes a power supply unit configured to provide a voltage for the non-intrusive load identification module.
The load identification and calculation unit is connected to the signal input unit, is configured to call the load model library and identify load types according to voltage and current signals received in real time, and further calculate the submetering result of each load type.
The load model library is configured to store feature models of known loads classified according to load characteristics of an electric appliance, and is called by a load identification algorithm unit, where the feature model includes a fixed identifier and operation characteristic information of the load, for example, 01-type load is air-conditioning-type load, and 02-type load is resistance-type load, and so forth; in the next place, the model library stores detailed information for characteristics of various types of known loads, for example, for the air-conditioning-type load, the load model library records information such as a current change time sequence during starting/stopping of the load, a feature during operation, and each harmonic component during starting/stopping.
The communication unit is respectively connected to the load identification and calculation unit and the load model library, and is configured to output results of load type identification of the load identification and calculation unit and the submetering result of each load type, where an output mode includes on-site display and remote display.
The load identification and calculation unit is connected to the signal input unit, and is configured to call the load model library and identify the load types according to the voltage and current signals received in real time; the operation includes the following steps: step (A), extracting current sampling data in all acquisition periods within the current 2 minutes, and performing Fourier decomposition to obtain the lst-19th harmonic components in the current sampling data step (B), respectively calculating differences between the 1st-19th harmonic components in the current sampling data and harmonic component feature values corresponding to the various types of loads in the load model library, and calculating a weighted sum value corresponding to each harmonic component; and step (C), selecting the smallest weighted sum value and a corresponding load type to complete the identification of the load type.
Preferably, the load identification and calculation unit further calculates the submetering result of each load type; the operation is to extract, according to the voltage and current signals received in real time, data required by submetering, where the data is a current value, a voltage value, a start/stop time, a duration, a start/stop current, each harmonic, a current waveform, and a crest coefficient; for example, voltage and current information is obtained from the metering chip voltage and current acquisition signal line of the smart power meter in a frequency of I kHz; a magnitude, a change rate, a change time, and a fluctuation condition of all sampling data in a sampling period are extracted every 2 minutes, the crest coefficient is calculated, and Fourier series decomposing is performed on the signals; and the frequency of I kHz may obtain information of the 1st-19th harmonic components.
Preferably, the submetering result of each load type includes a load start/stop time, a load operation duration, power consumption of the load, and load power of the load type, where the power consumption of the load refers to the sum of power consumed by the type of loads or the power consumed within a certain time period.
Preferably, the load model library is configured to store the feature models of the known loads classified according to the load characteristics of the electric appliance, and to learn and update itself by adding new load types to the load model library. Two learning and update methods include: method I which is to perform self-learning on the load model library by means of local, and then to identify the type of loads, and method II which is to report unidentified load information to a remote terminal, and then to receive an updated load model library sent by the remote terminal after processing of the remote terminal, so that a new load may be identified.
Preferably, the smart power meter is the single-phase smart power meter or the three-phase smart power meter, so that the submetering smart power meter based on non-intrusive load identification of the present invention further have other functions of the existing power meter.
In summary, according to the submetering smart power meter based on non-intrusive load identification of the present invention, non-intrusive load identification and the existing smart power meter are integrated as a whole; the existing smart power metering level is improved; more abundant power consumption information is provided for a user; the submetering result of each load type is covered and includes a load start/stop time, a load operation duration, and power consumption of the load of the load type and the present invention has the following advantages.
(1) By combining submetering and the existing power meter technology, the appearance design of the existing smart power meter does not need to be changed; other existing functions of the power meter are not influenced; a current and voltage measurement circuit of the power meter is fully utilized to obtain information required by a submetering function and complete load identification and submetering; more precise submetering function is supplemented on the basis of the original functions of the power meter; and more abundant power consumption information and corresponding service are provided for the user.
(2) The non-intrusive submetering smart power meter does not need to be provided with an additional terminal device; the layout and wiring of a meter box of the power meter keep unchanged; data acquisition may use the current existing acquisition system, and such power meter does not need to be installed inside the house, so that the difficulty in installation and maintenance is reduced to the maximum extent. The cost of the power meter added with the load identification module is not increased much, and the power meter may be updated in batches according to a power meter rotation strategy to reduce the installation costs.
(3) After the non-intrusive submetering smart power meter is installed, submetering power data, for example, contents such as a load type, load start/stop information, subentry load power consumption, subentry load energy consumption analysis, and energy-saving guidance, may be obtained by means of a handheld terminal such as a mobile phone; refined management of power on a power consumption side such as demand response is achieved by giving the load start/stop information, and a powerful means is provided for a country for implementing a national policy such as energy conservation and emission reduction.
The basic principles, major features and advantages of the present invention are displayed and described above. Those skilled in the art should understand that the present invention is not limited by the present invention in any form. The aforementioned embodiments and specification merely describe the principle of the present invention, and the present invention further has various variations and improvements without departing from the spirit or the scope of the present invention. These variations and improvements all fall within the scope of protection of the present invention. The scope of protection of the present invention is defined by appended claims and equivalents thereof.
Claims (8)
- CLAIMS1. A smart power meter based on non-intrusive load identification, comprising a non-intrusive load identification module integrated in the smart power meter, wherein the non-intrusive load identification module is printed on a main circuit board of the smart power meter, or installed in a module placement chamber of the smart power meter and connected to the main circuit board by a connector; and the non-intrusive load identification module is configured to identify different types of loads installed indoors, to calculate a metering result for each load type, and to output the metering result.
- 2. The smart power meter of claim 1, wherein the non -intrusive load identification module comprises a signal input unit, a load identification and calculation unit, a load model library, and a communication unit, wherein the signal input unit is connected to a metering chip voltage and current acquisition signal line on the main circuit board and configured to sample digital signals at a sampling frequency lower than 1 kHz; or the signal input unit is connected to voltage and current analog signal lines at an incoming line terminal of the smart power meter and configured to sample analog signals at 20 a sampling frequency in the range of 1 kHz-10 kHz; the load identification and calculation unit is connected to the signal input unit, is configured to call the load model library and identify load types according to voltage and current signals received in real time, and to calculate a metering result of each load type; the load model library is configured to store feature models of known load types classified according to load characteristics of electric appliances and is configured to be called by a load identification algorithm unit, wherein each feature model comprises a fixed identifier and operation characteristic information of the corresponding load type; and the communication unit is respectively connected to the load identification and calculation unit and the load model library, and is configured to output load type identification results of the load identification and calculation unit and metering results of each load type, wherein the output comprises on-site display and remote display.
- 3. The smart power meter of claim 2, wherein the load identification and calculation unit is connected to the signal input unit, and is configured to call the load model library and identify load types according to the voltage and current signals received in real time, wherein the operation comprises the following steps: step (A), extracting current sampling data in all acquisition periods within a current 2-minute time period, and performing Fourier decomposition to obtain the 1st-19th harmonic components in the current sampling data; step (B), respectively calculating differences between the 1st-19th harmonic components in the current sampling data and harmonic component feature values corresponding to the various types of loads in the load model library, and calculating a weighted sum value corresponding to each harmonic component; and step (C), selecting the smallest weighted sum value and a corresponding load type to complete the identification of the load type.
- 4. The smart power meter of claim 2, wherein the load identification and calculation unit is further configured to calculate the metering result of each load type by extracting, according to the voltage and current signals received in real time, data required by said metering, wherein the data comprises one or more of a current value, a voltage value, a start/stop time, a duration, a start/stop current, each harmonic, a current waveform, and a crest coefficient.
- 5. The smart power meter of claim 4, wherein the metering result of each load type comprises a load start/stop time, a load operation duration, power consumption of the load, and load power of the load type, wherein the power consumption of the load refers to the sum of power consumed by the type of loads or the power consumed within a certain time period.
- 6. The smart power meter of claim 2, wherein the load model library is configured to store the feature models of the known load types classified according to load characteristics of the electric appliances, and is configured to update itself by adding new load types to the load model library.
- 7. The smart power meter of claim 1, being a single-phase smart power meter or a three-phase smart power meter.
- 8. The smart power meter of claim 2, wherein the non-intrusive load identification module further comprises a power supply unit configured to provide a voltage for the non-intrusive load identification module.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810132483.9A CN108362938B (en) | 2018-02-09 | 2018-02-09 | Metering separate intelligent electric energy meter based on the identification of non-intrusion type load |
| PCT/CN2019/072503 WO2019154050A1 (en) | 2018-02-09 | 2019-01-21 | Non-intrusive load identification-based submetering smart electricity meter |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| GB202014179D0 GB202014179D0 (en) | 2020-10-21 |
| GB2585588A true GB2585588A (en) | 2021-01-13 |
| GB2585588B GB2585588B (en) | 2022-03-16 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2014179.2A Active GB2585588B (en) | 2018-02-09 | 2019-01-21 | Submetering smart power meter based on non-intrusive load identification |
Country Status (4)
| Country | Link |
|---|---|
| CN (1) | CN108362938B (en) |
| AU (1) | AU2019218021B2 (en) |
| GB (1) | GB2585588B (en) |
| WO (1) | WO2019154050A1 (en) |
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| WO2009140777A1 (en) * | 2008-05-23 | 2009-11-26 | Gloor Engineering | Power measuring device |
| CN105186693A (en) * | 2015-09-28 | 2015-12-23 | 南方电网科学研究院有限责任公司 | Non-invasive electrical load identification system and method |
| CN106093565A (en) * | 2016-08-05 | 2016-11-09 | 华南理工大学 | A kind of electricity subentry measurement method and device based on steady state characteristic Waveform Matching |
| CN206223887U (en) * | 2016-11-10 | 2017-06-06 | 华北电力大学 | A kind of intelligent apparatus for possessing load identification function |
| CN108362938A (en) * | 2018-02-09 | 2018-08-03 | 国网江苏省电力有限公司电力科学研究院 | Metering separate intelligent electric energy meter based on the identification of non-intrusion type load |
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| CN100464194C (en) * | 2007-04-03 | 2009-02-25 | 天津大学 | Method for recognizing dynamic parameter of electrical system non-invasive induction motor dynamic parameter |
| US20100305889A1 (en) * | 2009-05-27 | 2010-12-02 | General Electric Company | Non-intrusive appliance load identification using cascaded cognitive learning |
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- 2019-01-21 AU AU2019218021A patent/AU2019218021B2/en active Active
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009140777A1 (en) * | 2008-05-23 | 2009-11-26 | Gloor Engineering | Power measuring device |
| CN105186693A (en) * | 2015-09-28 | 2015-12-23 | 南方电网科学研究院有限责任公司 | Non-invasive electrical load identification system and method |
| CN106093565A (en) * | 2016-08-05 | 2016-11-09 | 华南理工大学 | A kind of electricity subentry measurement method and device based on steady state characteristic Waveform Matching |
| CN206223887U (en) * | 2016-11-10 | 2017-06-06 | 华北电力大学 | A kind of intelligent apparatus for possessing load identification function |
| CN108362938A (en) * | 2018-02-09 | 2018-08-03 | 国网江苏省电力有限公司电力科学研究院 | Metering separate intelligent electric energy meter based on the identification of non-intrusion type load |
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|---|---|
| AU2019218021B2 (en) | 2024-06-06 |
| CN108362938B (en) | 2019-10-22 |
| GB2585588B (en) | 2022-03-16 |
| CN108362938A (en) | 2018-08-03 |
| GB202014179D0 (en) | 2020-10-21 |
| WO2019154050A1 (en) | 2019-08-15 |
| AU2019218021A1 (en) | 2020-10-01 |
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