AU2019218021A1 - Non-intrusive load identification-based submetering smart electricity meter - Google Patents
Non-intrusive load identification-based submetering smart electricity meter Download PDFInfo
- Publication number
- AU2019218021A1 AU2019218021A1 AU2019218021A AU2019218021A AU2019218021A1 AU 2019218021 A1 AU2019218021 A1 AU 2019218021A1 AU 2019218021 A AU2019218021 A AU 2019218021A AU 2019218021 A AU2019218021 A AU 2019218021A AU 2019218021 A1 AU2019218021 A1 AU 2019218021A1
- Authority
- AU
- Australia
- Prior art keywords
- load
- submetering
- power meter
- intrusive
- load identification
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000005611 electricity Effects 0.000 title abstract 9
- 238000005070 sampling Methods 0.000 claims description 28
- 238000004364 calculation method Methods 0.000 claims description 19
- 238000004891 communication Methods 0.000 claims description 7
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 description 12
- 230000006870 function Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 238000009434 installation Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
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
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 methodand 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; 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 1st-19th harmonic components in
the current sampling data;
step (B), respectively calculating differences between the 1st-1 9th 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 by
learning and updating, a new load type will be able to added 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 asmart 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.
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 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.
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 1 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 1 kHz may obtain information of the st-1 9th 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 by
learning and updating, a new load type will be able to added 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 ininstallation and maintenance is reduced to the maximum extent. The cost of the power meter added with the load identification module isnot increased much, and the power meter may be updated in batches according to apower 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 apower 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)
1. A submetering 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 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 result of each load type, and output the corresponding submetering result.
2. The submetering smart power meter based on non-intrusive load identification according to 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 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 of1 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 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, wherein the feature model comprises 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, wherein an output mode comprises on-site display and remote display.
3. The submetering smart power meter based on non-intrusive load identification according
to 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; the operation comprises 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 1st-19th harmonic components in
the current sampling data;
step (B), respectively calculating differences between the 1st-1 9th 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 submetering smart power meter based on non-intrusive load identification according
to claim 2, wherein 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, wherein 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.
5. The submetering smart power meter based on non-intrusive load identification according
to claim 4, wherein the submetering 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 submetering smart power meter based on non-intrusive load identification according to claim 2, wherein 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 by learning and updating, a new load type will be able to added to the load model library.
7. The submetering smart power meter based on non-intrusive load identification
according to claim 1, wherein the smart power meter is a single-phase smart power meter or
a three-phase smart power meter.
8. The submetering smart power meter based on non-intrusive load identification
according to 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 (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810132483.9 | 2018-02-09 | ||
| 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 (2)
| Publication Number | Publication Date |
|---|---|
| AU2019218021A1 true AU2019218021A1 (en) | 2020-10-01 |
| AU2019218021B2 AU2019218021B2 (en) | 2024-06-06 |
Family
ID=63005562
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2019218021A Active AU2019218021B2 (en) | 2018-02-09 | 2019-01-21 | Non-intrusive load identification-based submetering smart electricity meter |
Country Status (4)
| Country | Link |
|---|---|
| CN (1) | CN108362938B (en) |
| AU (1) | AU2019218021B2 (en) |
| GB (1) | GB2585588B (en) |
| WO (1) | WO2019154050A1 (en) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108362938B (en) * | 2018-02-09 | 2019-10-22 | 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 |
| CN109188040B (en) * | 2018-11-06 | 2021-09-07 | 浙江方大智控科技有限公司 | Multi-mode intelligent ammeter |
| CN109188041B (en) * | 2018-11-06 | 2021-08-31 | 浙江方大智控科技有限公司 | Intelligent electric meter with electricity utilization control function |
| CN109596917A (en) * | 2018-12-07 | 2019-04-09 | 江苏智臻能源科技有限公司 | A kind of non-load identification efficient detection method of registering one's residence |
| CN110018344A (en) * | 2019-02-21 | 2019-07-16 | 国网山东省电力公司临沂供电公司 | The electric energy metering device for having identification power load function |
| CN109870600B (en) * | 2019-04-04 | 2021-07-02 | 江苏林洋能源股份有限公司 | Non-invasive load identification method with self-learning capability and intelligent electric meter |
| CN110297137A (en) * | 2019-06-12 | 2019-10-01 | 国网浙江省电力有限公司电力科学研究院 | A kind of module having non-intrusion type load monitoring function |
| CN110297125A (en) * | 2019-06-12 | 2019-10-01 | 国网浙江省电力有限公司电力科学研究院 | A kind of intelligent electric energy meter having non-intrusion type load monitoring function |
| CN110554351B (en) * | 2019-09-30 | 2022-03-29 | 国网山东省电力公司营销服务中心(计量中心) | Real load detection method and system of non-invasive load electric energy meter |
| CN111009110A (en) * | 2019-11-28 | 2020-04-14 | 江苏智臻能源科技有限公司 | Method and hardware equipment for collecting load identification data of user electric meter |
| CN111060745A (en) * | 2019-12-06 | 2020-04-24 | 江苏智臻能源科技有限公司 | Electric energy meter intelligent base with load identification function and implementation method |
| CN111600380B (en) * | 2020-03-28 | 2023-10-13 | 青岛鼎信通讯股份有限公司 | Household transformer relation identification method based on variable load and constant current detection |
| CN111934318B (en) * | 2020-08-13 | 2024-02-27 | 彭浩明 | Non-invasive power load decomposition method, apparatus, device and storage medium |
| CN111965419A (en) * | 2020-08-25 | 2020-11-20 | 广东电网有限责任公司广州供电局 | Non-invasive measuring device for sampling and identifying distributed installation |
| CN112383143A (en) * | 2020-10-29 | 2021-02-19 | 国网河南省电力公司郑州供电公司 | Power consumer power monitoring device and power load identification method |
| CN112485516B (en) * | 2020-11-27 | 2024-04-05 | 杭州万高科技股份有限公司 | Electric energy meter and chip architecture for non-intervention load identification |
| CN113009220B (en) * | 2021-02-23 | 2022-07-12 | 江苏盛德电子仪表有限公司 | Intelligent electric energy meter based on non-intrusive load identification technology |
| CN113156202B (en) * | 2021-03-11 | 2023-08-29 | 国电南瑞科技股份有限公司 | Non-invasive identification method and device for charging of battery car based on harmonic wave and time characteristics |
| CN113050486B (en) * | 2021-03-12 | 2022-06-17 | 南京工程学院 | Electric power system edge calculation and data distribution device based on industrial personal computer |
| CN113030566A (en) * | 2021-03-30 | 2021-06-25 | 国网江苏省电力有限公司营销服务中心 | Single-phase non-home load identification module |
| CN113030565B (en) * | 2021-04-01 | 2022-07-19 | 国网江苏省电力有限公司营销服务中心 | Load identification intelligent electric meter with input protection function |
| CN113223287B (en) * | 2021-04-02 | 2022-05-24 | 国电南瑞南京控制***有限公司 | SPI-based communication method and system for intelligent electric energy meter and load identification module |
| CN113191600A (en) * | 2021-04-13 | 2021-07-30 | 清科优能(深圳)技术有限公司 | Intelligent house non-invasive load identification method based on data mining |
| CN113238517A (en) * | 2021-06-08 | 2021-08-10 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Novel electric energy meter data acquisition terminal |
| CN113341262A (en) * | 2021-07-13 | 2021-09-03 | 国网江苏省电力有限公司营销服务中心 | Platformization load data acquisition device |
| CN114050846A (en) * | 2021-11-08 | 2022-02-15 | 国网四川省电力公司营销服务中心 | Non-invasive load monitoring system and method based on HPLC communication |
| CN115144633B (en) * | 2022-08-01 | 2023-11-14 | 广东电网有限责任公司广州供电局 | Modularized intelligent ammeter box |
| CN116051910A (en) * | 2023-03-10 | 2023-05-02 | 深圳曼顿科技有限公司 | Non-invasive load identification method, device, terminal equipment and storage medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| EP2283371B1 (en) * | 2008-05-23 | 2012-09-26 | Gloor Engineering | Power measuring device |
| US20100305889A1 (en) * | 2009-05-27 | 2010-12-02 | General Electric Company | Non-intrusive appliance load identification using cascaded cognitive learning |
| 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 |
| CN106093565B (en) * | 2016-08-05 | 2018-12-11 | 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 |
| CN108362938B (en) * | 2018-02-09 | 2019-10-22 | 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 |
-
2018
- 2018-02-09 CN CN201810132483.9A patent/CN108362938B/en active Active
-
2019
- 2019-01-21 GB GB2014179.2A patent/GB2585588B/en active Active
- 2019-01-21 WO PCT/CN2019/072503 patent/WO2019154050A1/en active Application Filing
- 2019-01-21 AU AU2019218021A patent/AU2019218021B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| GB202014179D0 (en) | 2020-10-21 |
| CN108362938B (en) | 2019-10-22 |
| GB2585588B (en) | 2022-03-16 |
| GB2585588A (en) | 2021-01-13 |
| CN108362938A (en) | 2018-08-03 |
| AU2019218021B2 (en) | 2024-06-06 |
| WO2019154050A1 (en) | 2019-08-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2019218021B2 (en) | Non-intrusive load identification-based submetering smart electricity meter | |
| CN102890170B (en) | Three-phase electric energy meter false wiring automated conversion system | |
| CN104635713B (en) | A kind of electric energy metered system | |
| CN103323686A (en) | Smart power grid power quality analyzer | |
| CN203786168U (en) | Three-phase high-precision multifunctional electric energy meter | |
| CN107024615B (en) | Direct access type three-dimensional metering electric energy meter | |
| CN204389614U (en) | A kind of portable multi-function energy efficiency monitor | |
| CN103337905A (en) | Digitalized protection and measuring/control device integrated with metering function | |
| CN206038895U (en) | Harmonic is multichannel error calculation device for electric energy meter verification | |
| CN205749728U (en) | Quality of power supply acquisition terminal | |
| CN204633477U (en) | A kind of precision intelligence alternating current-direct current distributing monitoring system | |
| CN202649304U (en) | Prepaid metering device | |
| CN107121659A (en) | A kind of three-phase electric energy meter on-site detection means and detection method | |
| CN203069698U (en) | An integrated information acquiring device of electric energy in a transformer station | |
| CN208421024U (en) | A kind of guide rail meter based on Wi-Fi | |
| CN112713572A (en) | Novel intelligent cloud circuit breaker | |
| CN206848361U (en) | Direct access three-dimentional measurement electric energy meter | |
| CN201903584U (en) | Multifunction direct current electricity meter for photovoltaic system | |
| CN205404676U (en) | Electricity inspection terminal of special electric energy measurement of three -phase | |
| CN103869115A (en) | Three-phase high-precision multifunctional watt-hour meter | |
| CN203672928U (en) | Novel guide rail type three-phase power meter hardware platform | |
| CN216312755U (en) | But remote monitoring's vary voltage cabinet | |
| CN217720827U (en) | High-voltage secondary signal remote data acquisition device | |
| CN220105268U (en) | Internet of things three-phase electric energy monitoring terminal supporting remote verification | |
| CN202649306U (en) | Three-phase electrical parameter measuring device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| DA3 | Amendments made section 104 |
Free format text: THE NATURE OF THE AMENDMENT IS: AMEND THE NAME OF THE INVENTOR TO READ LIU, JIAN; ZHU, YUNAN; XU, QING; TIAN, ZHENGQI; DUAN, MEIMEI; HUANG, QIFENG; WU, WEIJIANG; ZHU, JUN AND CHEN, FEI |
|
| HB | Alteration of name in register |
Owner name: STATE GRID JIANGSU ELECTRIC POWER CO., LTD Free format text: FORMER NAME(S): STATE GRID JIANGSU ELECTRIC POWER RESEARCH INSTITUTE; STATE GRID CORPORATION OF CHINA; STATE GRID JIANGSU ELECTRIC POWER COMPANY ; JIANGSU ELECTRIC POWER RESEARCH INSTITUTE CO., LTD. Owner name: JIANGSU ELECTRIC POWER RESEARCH INSTITUTE CO., LTD. Free format text: FORMER NAME(S): STATE GRID JIANGSU ELECTRIC POWER RESEARCH INSTITUTE; STATE GRID CORPORATION OF CHINA; STATE GRID JIANGSU ELECTRIC POWER COMPANY ; JIANGSU ELECTRIC POWER RESEARCH INSTITUTE CO., LTD. Owner name: STATE GRID JIANGSU ELECTRIC POWER RESEARCH INSTITUTE Free format text: FORMER NAME(S): STATE GRID JIANGSU ELECTRIC POWER RESEARCH INSTITUTE; STATE GRID CORPORATION OF CHINA; STATE GRID JIANGSU ELECTRIC POWER COMPANY ; JIANGSU ELECTRIC POWER RESEARCH INSTITUTE CO., LTD. Owner name: STATE GRID CORPORATION OF CHINA Free format text: FORMER NAME(S): STATE GRID JIANGSU ELECTRIC POWER RESEARCH INSTITUTE; STATE GRID CORPORATION OF CHINA; STATE GRID JIANGSU ELECTRIC POWER COMPANY ; JIANGSU ELECTRIC POWER RESEARCH INSTITUTE CO., LTD. |