CN116381325A - Distributed energy metering method, system, electronic equipment and medium - Google Patents
Distributed energy metering method, system, electronic equipment and medium Download PDFInfo
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Abstract
The invention belongs to the technical field of electric power energy metering, and aims to provide a distributed energy metering method, a distributed energy metering system, electronic equipment and a distributed energy metering medium. After acquiring electric energy data, the invention firstly carries out analog-to-digital conversion on the electric energy data to obtain converted electric energy data; then, filtering interference signals of the converted electric energy data to obtain filtered electric energy data, so that the interference signals in the electric energy data can be eliminated conveniently; and preprocessing the filtered electric energy data to obtain preprocessed electric energy data, obtaining harmonic electric energy data and fundamental electric energy data according to the preprocessed electric energy data, and finally carrying out electric energy metering through the fundamental electric energy data. In the process, the interference signal filtering processing is carried out on the electric energy data after the electric energy data are acquired, and then the harmonic electric energy data are acquired, so that electric energy metering is conveniently carried out according to the fundamental wave electric energy data, interference of harmonic waves is avoided, and the electric energy metering precision is improved.
Description
Technical Field
The invention belongs to the technical field of electric power energy metering, and particularly relates to a distributed energy metering method, a distributed energy metering system, electronic equipment and a distributed energy metering medium.
Background
With the continuous increase of the environmental pressure of resources in China, the requirement on the energy utilization efficiency of industrial enterprises is increasing, the distributed energy technology is gradually appeared in the field of vision of people, and the wide attention of the society in each field is brought about by the unique superiority.
The distributed energy technology is an important development direction of energy technology in the future world, and has the characteristics of high energy utilization efficiency, small negative environmental influence, high energy supply reliability and good economic benefit. Specifically, the distributed energy source refers to energy sources distributed on the demand side, wherein primary energy sources are mainly gas fuel, and renewable energy sources are auxiliary, so that all available natural energy sources can be utilized; the secondary energy is mainly combined heat and power generation distributed at the user side, and other central energy supply systems are used as auxiliary materials, so that the requirements of cascade utilization of energy sources for directly meeting various requirements of users can be met, support and supplement are provided through the central energy supply systems, and the purposes of energy conservation and resource conservation are achieved.
However, in using the prior art, the inventors found that there are at least the following problems in the prior art:
in the process of supplying power by adopting distributed energy sources, a large number of nonlinear elements are introduced, so that the harmonic content in a power grid is increased, and in the existing electric energy metering mode, the influence of harmonic waves on electric energy metering is not considered, harmonic electric energy cannot be distinguished, and the accuracy of energy metering is reduced.
Disclosure of Invention
The invention aims to solve the technical problems at least to a certain extent, and provides a distributed energy metering method, a distributed energy metering system, electronic equipment and a distributed energy metering medium.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the present invention provides a distributed energy metering method, comprising:
acquiring electric energy data from a designated distributed energy power generation device of a distributed energy power generation system according to a preset sampling period;
performing analog-to-digital conversion on the electric energy data to obtain converted electric energy data;
filtering the interference signals of the converted electric energy data to obtain filtered electric energy data;
preprocessing the filtered electric energy data to obtain preprocessed electric energy data;
obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data;
and obtaining an electric energy metering result according to the fundamental wave electric energy data.
The invention has higher precision of electric energy metering and is suitable for electric energy metering in the process of adopting distributed energy sources to supply power. Specifically, in the implementation process, after acquiring electric energy data, the invention firstly carries out analog-to-digital conversion on the electric energy data to obtain converted electric energy data; then, filtering the interference signals of the converted electric energy data to obtain filtered electric energy data, so that the interference signals in the electric energy data can be eliminated conveniently, and the problem of poor accuracy of metering results caused by the interference signals in the electric energy metering process is avoided; and preprocessing the filtered electric energy data to obtain preprocessed electric energy data, obtaining harmonic electric energy data and fundamental electric energy data according to the preprocessed electric energy data, and finally performing electric energy metering through the fundamental electric energy data. In the process, the interference signal filtering processing is carried out on the electric energy data after the electric energy data are acquired, and then the harmonic electric energy data are acquired, so that electric energy metering is conveniently carried out according to the fundamental wave electric energy data, interference of harmonic waves is avoided, and the electric energy metering precision is improved.
In one possible design, collecting power data includes:
receiving a data transmission request sent by any one of the distributed energy power generation devices, and judging whether the current distributed energy power generation device meets a preset data transmission requirement according to equipment transmission information of the current distributed energy power generation device bound with the data transmission request;
if so, receiving the electric energy data sent by the current distributed energy power generation device, and then re-receiving a data transmission request sent by any distributed energy power generation device;
if not, obtaining error reporting information corresponding to the current distributed energy power generation device according to the equipment transmission information, and then entering the next step;
and sending the error reporting information to the current distributed energy power generation device so that the current distributed energy power generation device carries out data correction on the electric energy data to be transmitted to obtain corrected electric energy data, and outputting a data transmission request based on the corrected electric energy data.
In one possible design, after collecting the electrical energy data, the method further includes:
carrying out sectional processing on the electric energy data to obtain a plurality of sectional data;
sequentially carrying out boundary marking on the plurality of segmented data to obtain marked segmented data;
and sending the marked segmented data to a plurality of preset sub-storage modules in a one-to-one correspondence manner for storage.
In one possible design, the interfering signal includes a direct current component, an integer harmonic, a non-integer harmonic, and/or noise.
In one possible design, obtaining harmonic power data from the preprocessed power data, and then separating the harmonic power data from the preprocessed power data to obtain fundamental power data, comprising:
zero crossing detection is carried out on the preprocessed electric energy data, so that fundamental wave frequency of the preprocessed electric energy data is obtained;
according to the fundamental wave frequency, carrying out data separation processing on the preprocessed electric energy data to obtain each subharmonic signal of the preprocessed electric energy data;
obtaining harmonic electric energy data according to the harmonic signals;
and separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data.
In one possible design, obtaining harmonic power data from the preprocessed power data, and then separating the harmonic power data from the preprocessed power data to obtain fundamental power data, comprising:
decomposing the preprocessed electric energy data into fundamental wave signals and subharmonic signals by utilizing an FFT algorithm;
obtaining harmonic electric energy data according to the harmonic signals;
and separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data.
In one possible design, after obtaining the electric energy metering result, the method further includes:
according to the electric energy metering result, a reverse power value flowing from an electric energy collection point to a public power grid is obtained;
judging whether the reverse power value is larger than a preset reverse power standard value or not; if yes, obtaining the difference value between the reverse power value and the reverse power standard value, and then entering the next step;
sending an instruction for reducing the output power bound with the difference value to a generator set so that the generator set reduces the output power according to the difference value; wherein the generator set is configured to provide electrical power support to the utility grid.
In a second aspect, the present invention provides a distributed energy metering system for implementing a distributed energy metering method as described in any one of the preceding claims; the distributed energy metering system comprises:
the sampling module is used for acquiring electric energy data from a designated distributed energy power generation device of the distributed energy power generation system according to a preset sampling period;
the data conversion module is in communication connection with the sampling module and is used for carrying out analog-to-digital conversion on the electric energy data to obtain converted electric energy data;
the signal filtering module is in communication connection with the data conversion module and is used for filtering interference signals of the converted electric energy data to obtain filtered electric energy data;
the data preprocessing module is in communication connection with the signal filtering module and is used for preprocessing the filtered electric energy data to obtain preprocessed electric energy data;
the harmonic separation module is in communication connection with the data preprocessing module and is used for obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data;
and the result output module is in communication connection with the harmonic separation module and obtains an electric energy metering result according to the fundamental wave electric energy data.
In a third aspect, the present invention provides an electronic device, comprising:
a memory for storing computer program instructions; the method comprises the steps of,
a processor for executing the computer program instructions to perform the operations of the distributed energy metering method as described in any one of the preceding claims.
In a fourth aspect, the present invention provides a computer readable storage medium storing computer program instructions readable by a computer, the computer program instructions being configured to perform operations of a distributed energy metering method as claimed in any one of the preceding claims when run.
Drawings
FIG. 1 is a flow chart of a distributed energy metering method in an embodiment;
FIG. 2 is a block diagram of a distributed energy metering system according to an embodiment;
fig. 3 is a block diagram of an electronic device in an embodiment.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be briefly described below with reference to the accompanying drawings and the description of the embodiments or the prior art, and it is obvious that the following description of the structure of the drawings is only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art. It should be noted that the description of these examples is for aiding in understanding the present invention, but is not intended to limit the present invention.
Example 1:
the present embodiment discloses a distributed energy metering method, which may be performed by, but not limited to, a computer device or a virtual machine with a certain computing resource, for example, an electronic device such as a personal computer, a smart phone, a personal digital assistant or a wearable device, or a virtual machine. Specifically, in this embodiment, the distributed energy metering method is executed based on a processing module, where the processing module is communicatively connected with a plurality of electric energy data acquisition modules of the distributed energy power generation device, and the plurality of electric energy data acquisition modules are correspondingly connected with an electric meter, and it should be understood that the processing module is a data processing terminal of the master station system, and the electric energy data acquisition module of the distributed energy power generation device is used for acquiring electric energy data recorded by the electric meter.
As shown in fig. 1, a distributed energy metering method may include, but is not limited to, the following steps:
s1, acquiring electric energy data from a designated distributed energy power generation device of a distributed energy power generation system according to a preset sampling period; it should be noted that, in this embodiment, the electrical energy data includes a voltage signal and/or a current signal, which is not limited herein. Specifically, in this embodiment, the distributed energy power generation device includes a wind power generation device, a biomass power generation device, and/or a photovoltaic power generation device.
Specifically, in this embodiment, collecting electrical energy data includes:
receiving a data transmission request sent by an electric energy data acquisition module in any distributed energy power generation device, and judging whether the current distributed energy power generation device meets a preset data transmission requirement according to equipment transmission information of the current distributed energy power generation device bound with the data transmission request;
if so, receiving the electric energy data sent by the current distributed energy power generation device, and then re-receiving a data transmission request sent by any distributed energy power generation device;
if not, obtaining error reporting information corresponding to the current distributed energy power generation device according to the equipment transmission information, and then entering the next step;
and sending the error reporting information to the current distributed energy power generation device so that the current distributed energy power generation device carries out data correction on the electric energy data to be transmitted to obtain corrected electric energy data, and outputting a data transmission request to the processing module based on the corrected electric energy data.
It should be noted that, the device transmission information includes, but is not limited to, information such as a communication capacity, a data transmission manner, a data transmission format, and the like of the current distributed energy power generation device, and correspondingly, the data transmission requirement may be a self requirement of the current distributed energy power generation device, such as a communication capacity requirement, a data transmission format requirement, and the like, which is not limited herein. Taking the device transmission information as the communication capacity of the current distributed energy power generation device as an example, the communication capacity is the maximum information amount which can be transmitted in unit time, the communication capacity of the current distributed energy power generation device may not match with the communication capacity which can be received by the processing module, if the communication capacity of the current distributed energy power generation device is larger than the communication capacity which can be received by the processing module, the processing module can obtain error reporting information corresponding to the current distributed energy power generation device according to the device transmission information, the error reporting information indicates that the communication capacity of the current distributed energy power generation device is larger than the communication capacity which can be received by the processing module, and the specific value indicates that the current distributed energy power generation device can perform data correction on electric energy data to be transmitted according to the error reporting information at the moment so as to obtain corrected electric energy data with the communication capacity which is matched with the communication capacity which can be received by the processing module, and output a data transmission request to the processing module based on the corrected electric energy data.
In the process, before receiving the electric energy data, the detection step of data transmission requirements is carried out on the current distributed energy power generation device, so that the self-adaptive adjustment of the distributed energy power generation device is conveniently realized, the communication between the processing module and the distributed energy power generation devices of different types is facilitated, the method is suitable for the connection of the processing module and the distributed energy power generation devices of different types, the acquisition success rate of the electric energy data is conveniently improved, and the electric energy data acquisition range of the same processing module is also improved.
In this embodiment, after the electric energy data is collected, the method further includes:
the electric energy data is subjected to sectional processing, the section size of the sectional data can be flexibly adjusted according to actual conditions, for example, the section size is adjusted to 1024 bytes, so that the electric energy data is subjected to sectional management, and a plurality of sectional data are obtained;
sequentially carrying out boundary marking on the plurality of segmented data to obtain marked segmented data;
and sending the marked segmented data to a plurality of preset sub-storage modules in a one-to-one correspondence manner for storage.
In this embodiment, the marked segmented data carries a segment head flag and a segment tail flag for carrying out segmentation processing on the marked segmented data, and in the transmission process, the processing module can identify a plurality of data segments based on the segment head flag and the segment tail flag so as to store the marked segmented data in a partitioned manner. For example, the first marked segment data and the second marked segment data are sequentially obtained after the segment processing is performed on the electric energy data, in the process that a plurality of marked segment data are alternately sent to two data storage modules for storage, the first marked segment data can be stored in the first storage module, when the segment tail mark of the first marked segment data is detected, the storage space is switched, the second marked segment data is stored in the second storage module, when the segment tail mark of the second marked segment data is detected again, the storage space is switched again, and the operation is repeated sequentially. The device can be favorable for realizing the high-speed storage requirement of the electric energy data, thereby being convenient for improving the collection efficiency of the electric energy data.
In this embodiment, after the electric energy data is collected, the method further includes:
and extracting the data acquisition time from the electric energy data.
And acquiring the base station time, comparing the data acquisition time with the base station time, judging whether the time difference between the data acquisition time and the base station time is larger than a duration threshold value, and if so, performing time calibration on the data acquisition time according to the time difference to obtain time-calibrated electric energy data.
Specifically, the time difference is:
t=t c -t b +t d ;
wherein t is c Is saidData acquisition time; t is t b Time for the base station; t is t d Data transmission delay, t d And the symbol L is the data length of the electric energy data, N is the code length corresponding to the code mapping of each byte in the electric energy data when transmitting, and v is the code transmission rate, namely the number of codes transmitted in unit time after the electric energy data is subjected to code mapping and converted into a plurality of codes.
It should be noted that, the base station time is the processing module and carries out wireless communication with electric energy data acquisition module in-process, corresponds wireless communication module's base station time, and it comes from the atomic clock of each satellite in the GPS beidou system, calibrates electric energy data's collection time based on the base station time, has the high characteristic of time service precision, can do benefit to the timeliness that improves electric energy data acquisition in-process. S2, performing analog-to-digital conversion on the electric energy data to obtain converted electric energy data.
S3, filtering the interference signals of the converted electric energy data to obtain filtered electric energy data. Specifically, in this embodiment, the interference signal includes a direct current component, an integer harmonic, a non-integer harmonic, and/or noise. The filtering of the direct current component can be, but not limited to, a high-pass filter; the filtering of integer harmonics, non-integer harmonics and noise may be, but is not limited to, the use of an interpolation low pass filter.
S4, preprocessing the filtered electric energy data to obtain preprocessed electric energy data. It should be noted that the preprocessing step includes, but is not limited to, data protocol processing, data normalization processing, and the like, where the data protocol processing is used to simplify, sample, or aggregate filtered power data to reduce data complexity, and the data normalization processing is used to map the power data after protocol processing to a standard format for subsequent processing of different source data. And the processing steps can improve the quality and reliability of the filtered electric energy data, and are beneficial to reducing errors and uncertainty in the subsequent data processing and analysis process.
S5, obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data.
In this embodiment, harmonic electric energy data is obtained according to the preprocessed electric energy data, and then the harmonic electric energy data is separated from the preprocessed electric energy data to obtain fundamental electric energy data, which can be implemented by, but not limited to, the following two embodiments:
embodiment 1-1:
zero crossing detection is carried out on the preprocessed electric energy data, so that fundamental wave frequency of the preprocessed electric energy data is obtained;
according to the fundamental wave frequency, carrying out data separation processing on the preprocessed electric energy data to obtain each subharmonic signal of the preprocessed electric energy data; it should be understood that each subharmonic signal includes each subharmonic voltage signal and each subharmonic voltage signal;
obtaining harmonic electric energy data according to the harmonic signals;
and separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data. It should be appreciated that fundamental power data is the difference between the pre-processed power data and the harmonic power data.
Embodiments 1 to 2:
decomposing the preprocessed electric energy data into fundamental wave signals and subharmonic signals by utilizing a Fast Fourier Transform (FFT) algorithm of the bimodal interpolation of a Hanning window;
obtaining harmonic electric energy data according to the harmonic signals;
and separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data.
S6, obtaining an electric energy metering result according to the fundamental wave electric energy data.
The embodiment has higher precision in electric energy metering, and is suitable for electric energy metering in the process of adopting distributed energy sources to supply power. Specifically, in the implementation process of the embodiment, after electric energy data is acquired, analog-to-digital conversion is performed on the electric energy data to obtain converted electric energy data; then, filtering the interference signals of the converted electric energy data to obtain filtered electric energy data, so that the interference signals in the electric energy data can be eliminated conveniently, and the problem of poor accuracy of metering results caused by the interference signals in the electric energy metering process is avoided; and preprocessing the filtered electric energy data to obtain preprocessed electric energy data, obtaining harmonic electric energy data and fundamental electric energy data according to the preprocessed electric energy data, and finally performing electric energy metering through the fundamental electric energy data. In the process, the interference signal filtering processing is carried out on the electric energy data after the electric energy data are acquired, and then the harmonic electric energy data are acquired, so that electric energy metering is conveniently carried out according to the fundamental wave electric energy data, interference of harmonic waves is avoided, and the electric energy metering precision is improved.
In the prior art, in a distributed energy power generation system, besides a distributed energy power generation device supplies power to a public power grid, a power generation unit for stably supplying power to the public power grid is generally arranged, and the power supply of the distributed energy power generation device is unstable, so that the situations that the distributed energy power generation system and the power generation unit commonly input a large amount of electric power to the public power grid, the electric power of the public power grid is unstable and the like easily occur. To solve this technical problem, the present embodiment further makes the following improvements: after obtaining the electric energy metering result, the method further comprises the following steps:
s7, obtaining a reverse power value flowing from an electric energy collection point to a public power grid according to the electric energy metering result; it should be understood that in this embodiment, the corresponding power transmission direction can be determined according to the four-quadrant power theory by using the positive and negative of the power measurement result, so as to obtain the reverse power value flowing from the power collection point to the public power grid.
S8, judging whether the reverse power value is larger than a preset reverse power standard value or not; if yes, obtaining the difference value between the reverse power value and the reverse power standard value, and then entering the next step;
s9, sending an instruction for reducing the output power, which is bound with the difference value, to a generator set so that the generator set reduces the output power according to the difference value; wherein the generator set is configured to provide electrical power support to the utility grid.
It should be noted that, through the electric energy metering result of the distributed energy power generation device, the reverse power value of the distributed energy power generation device flowing to the utility grid can be obtained, then the reverse power value is compared with the reverse power value standard value, and when the reverse power value is greater than the preset reverse power standard value, the generator set is controlled to reduce the output power, so that the problems that the power of the utility grid is unstable and the electric energy utilization rate of the distributed energy output is not high due to the fact that a large amount of electric power is input to the utility grid by the distributed energy power generation system and the generator set together can be prevented.
Example 2:
the embodiment discloses a distributed energy metering system, which is used for realizing the distributed energy metering method in the embodiment 1; as shown in fig. 2, the distributed energy metering system includes:
the sampling module is used for acquiring electric energy data from a designated distributed energy power generation device of the distributed energy power generation system according to a preset sampling period;
the data conversion module is in communication connection with the sampling module and is used for carrying out analog-to-digital conversion on the electric energy data to obtain converted electric energy data;
the signal filtering module is in communication connection with the data conversion module and is used for filtering interference signals of the converted electric energy data to obtain filtered electric energy data;
the data preprocessing module is in communication connection with the signal filtering module and is used for preprocessing the filtered electric energy data to obtain preprocessed electric energy data;
the harmonic separation module is in communication connection with the data preprocessing module and is used for obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data;
and the result output module is in communication connection with the harmonic separation module and obtains an electric energy metering result according to the fundamental wave electric energy data.
Example 3:
on the basis of embodiment 1 or 2, this embodiment discloses an electronic device, which may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like. An electronic device may be referred to as being used for a terminal, a portable terminal, a desktop terminal, etc., as shown in fig. 3, the electronic device includes:
a memory for storing computer program instructions; the method comprises the steps of,
a processor configured to execute the computer program instructions to perform the operations of the distributed energy metering method of any of embodiment 1.
In particular, processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 301 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 301 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen.
In some embodiments, the terminal may further optionally include: a communication interface 303, and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by a bus or signal lines. The respective peripheral devices may be connected to the communication interface 303 through a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display screen 305, and a power supply 306.
The communication interface 303 may be used to connect at least one peripheral device associated with an I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 301, the memory 302, and the communication interface 303 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 304 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 304 communicates with a communication network and other communication devices via electromagnetic signals.
The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof.
The power supply 306 is used to power the various components in the electronic device.
Example 4:
on the basis of any one of embodiments 1 to 3, this embodiment discloses a computer-readable storage medium for storing computer-readable computer program instructions configured to perform the operations of the distributed energy metering method as described in embodiment 1 when run.
It will be apparent to those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by computing devices, such that they may be stored in a memory device for execution by the computing devices, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solution of the present invention, and not limiting thereof; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some of the technical features thereof can be replaced by equivalents. Such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The distributed energy metering method is characterized by comprising the following steps of: comprising the following steps:
acquiring electric energy data from a designated distributed energy power generation device of a distributed energy power generation system according to a preset sampling period;
performing analog-to-digital conversion on the electric energy data to obtain converted electric energy data;
filtering the interference signals of the converted electric energy data to obtain filtered electric energy data;
preprocessing the filtered electric energy data to obtain preprocessed electric energy data;
obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data;
and obtaining an electric energy metering result according to the fundamental wave electric energy data.
2. A distributed energy metering method according to claim 1, characterized in that: collecting electrical energy data, comprising:
receiving a data transmission request sent by any one of the distributed energy power generation devices, and judging whether the current distributed energy power generation device meets a preset data transmission requirement according to equipment transmission information of the current distributed energy power generation device bound with the data transmission request;
if so, receiving the electric energy data sent by the current distributed energy power generation device, and then re-receiving a data transmission request sent by any distributed energy power generation device;
if not, obtaining error reporting information corresponding to the current distributed energy power generation device according to the equipment transmission information, and then entering the next step;
and sending the error reporting information to the current distributed energy power generation device so that the current distributed energy power generation device carries out data correction on the electric energy data to be transmitted to obtain corrected electric energy data, and outputting a data transmission request based on the corrected electric energy data.
3. A distributed energy metering method according to claim 1, characterized in that: after the electric energy data is acquired, the method further comprises the following steps:
carrying out sectional processing on the electric energy data to obtain a plurality of sectional data;
sequentially carrying out boundary marking on the plurality of segmented data to obtain marked segmented data;
and sending the marked segmented data to a plurality of preset sub-storage modules in a one-to-one correspondence manner for storage.
4. A distributed energy metering method according to claim 1, characterized in that: the interfering signal includes a direct current component, an integer harmonic, a non-integer harmonic, and/or noise.
5. A distributed energy metering method according to claim 1, characterized in that: obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental electric energy data, wherein the method comprises the following steps of:
zero crossing detection is carried out on the preprocessed electric energy data, so that fundamental wave frequency of the preprocessed electric energy data is obtained;
according to the fundamental wave frequency, carrying out data separation processing on the preprocessed electric energy data to obtain each subharmonic signal of the preprocessed electric energy data;
obtaining harmonic electric energy data according to the harmonic signals;
and separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data.
6. A distributed energy metering method according to claim 1, characterized in that: obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental electric energy data, wherein the method comprises the following steps of:
decomposing the preprocessed electric energy data into fundamental wave signals and subharmonic signals by utilizing an FFT algorithm;
obtaining harmonic electric energy data according to the harmonic signals;
and separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data.
7. A distributed energy metering method according to claim 1, characterized in that: after obtaining the electric energy metering result, the method further comprises the following steps:
according to the electric energy metering result, a reverse power value flowing from an electric energy collection point to a public power grid is obtained;
judging whether the reverse power value is larger than a preset reverse power standard value or not; if yes, obtaining the difference value between the reverse power value and the reverse power standard value, and then entering the next step;
sending an instruction for reducing the output power bound with the difference value to a generator set so that the generator set reduces the output power according to the difference value; wherein the generator set is configured to provide electrical power support to the utility grid.
8. A distributed energy metering system, characterized by: for implementing a distributed energy metering method as claimed in any one of claims 1 to 7; the distributed energy metering system comprises:
the sampling module is used for acquiring electric energy data from a designated distributed energy power generation device of the distributed energy power generation system according to a preset sampling period;
the data conversion module is in communication connection with the sampling module and is used for carrying out analog-to-digital conversion on the electric energy data to obtain converted electric energy data;
the signal filtering module is in communication connection with the data conversion module and is used for filtering interference signals of the converted electric energy data to obtain filtered electric energy data;
the data preprocessing module is in communication connection with the signal filtering module and is used for preprocessing the filtered electric energy data to obtain preprocessed electric energy data;
the harmonic separation module is in communication connection with the data preprocessing module and is used for obtaining harmonic electric energy data according to the preprocessed electric energy data, and then separating the harmonic electric energy data from the preprocessed electric energy data to obtain fundamental wave electric energy data;
and the result output module is in communication connection with the harmonic separation module and obtains an electric energy metering result according to the fundamental wave electric energy data.
9. An electronic device, characterized in that: comprising the following steps:
a memory for storing computer program instructions; the method comprises the steps of,
a processor for executing the computer program instructions to perform the operations of the distributed energy metering method of any of claims 1 to 7.
10. A computer readable storage medium storing computer program instructions readable by a computer, characterized by: the computer program instructions are configured to perform the operations of the distributed energy metering method of any of claims 1 to 7 when run.
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Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1162120A (en) * | 1997-01-31 | 1997-10-15 | 清华大学 | Method for synchronously metering three-phase/single-phase fundamental electrical energy and harmonic electrical energy and electric meter thereof |
CN101441231A (en) * | 2008-09-27 | 2009-05-27 | 武汉大学 | Harmonic electric energy metering error analytical apparatus |
CN102868175A (en) * | 2012-09-12 | 2013-01-09 | 南车株洲电力机车研究所有限公司 | Reverse power protection method and distributed power generation system |
CN103852637A (en) * | 2014-04-04 | 2014-06-11 | 唐山紫光智能电子有限公司 | Intelligent electric meter with fundamental wave metering function and measurement method thereof |
CN105911346A (en) * | 2016-07-05 | 2016-08-31 | 国网重庆市电力公司市区供电分公司 | Bi-directional intelligent electric meter respectively used for metering fundamental wave and harmonic wave and metering method thereof |
CN205958645U (en) * | 2016-07-05 | 2017-02-15 | 国网重庆市电力公司市区供电分公司 | Measure two -way smart electric meter of fundamental wave and harmonic respectively |
CN108235237A (en) * | 2017-12-27 | 2018-06-29 | 广东欧珀移动通信有限公司 | data reporting method, device, mobile terminal and computer-readable medium |
CN108872736A (en) * | 2018-05-02 | 2018-11-23 | 国网北京市电力公司 | electric energy detection device, system and method |
CN209641059U (en) * | 2018-10-11 | 2019-11-15 | 安徽继远软件有限公司 | A kind of intelligent electric meter data acquisition remote transmission device based on NB-IoT |
CN113358922A (en) * | 2021-06-02 | 2021-09-07 | 清华大学 | Fundamental wave, harmonic wave and inter-harmonic wave electric energy power measurement method of unsteady state power grid signal |
CN115236392A (en) * | 2022-07-13 | 2022-10-25 | 国网河北省电力有限公司营销服务中心 | Multi-characteristic-quantity electric energy metering method and device, terminal and storage medium |
CN115278737A (en) * | 2022-07-29 | 2022-11-01 | 深圳市深玛网络科技有限公司 | Data acquisition method of 5G network |
CN115308486A (en) * | 2022-08-19 | 2022-11-08 | 深圳智微电子科技有限公司 | Electric energy harmonic wave metering method and system |
CN115474078A (en) * | 2022-08-30 | 2022-12-13 | 江苏宁坤科技有限公司 | Data encryption method of live television service based on cloud computing |
-
2023
- 2023-03-29 CN CN202310326533.8A patent/CN116381325A/en active Pending
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1162120A (en) * | 1997-01-31 | 1997-10-15 | 清华大学 | Method for synchronously metering three-phase/single-phase fundamental electrical energy and harmonic electrical energy and electric meter thereof |
CN101441231A (en) * | 2008-09-27 | 2009-05-27 | 武汉大学 | Harmonic electric energy metering error analytical apparatus |
CN102868175A (en) * | 2012-09-12 | 2013-01-09 | 南车株洲电力机车研究所有限公司 | Reverse power protection method and distributed power generation system |
CN103852637A (en) * | 2014-04-04 | 2014-06-11 | 唐山紫光智能电子有限公司 | Intelligent electric meter with fundamental wave metering function and measurement method thereof |
CN105911346A (en) * | 2016-07-05 | 2016-08-31 | 国网重庆市电力公司市区供电分公司 | Bi-directional intelligent electric meter respectively used for metering fundamental wave and harmonic wave and metering method thereof |
CN205958645U (en) * | 2016-07-05 | 2017-02-15 | 国网重庆市电力公司市区供电分公司 | Measure two -way smart electric meter of fundamental wave and harmonic respectively |
CN108235237A (en) * | 2017-12-27 | 2018-06-29 | 广东欧珀移动通信有限公司 | data reporting method, device, mobile terminal and computer-readable medium |
CN108872736A (en) * | 2018-05-02 | 2018-11-23 | 国网北京市电力公司 | electric energy detection device, system and method |
CN209641059U (en) * | 2018-10-11 | 2019-11-15 | 安徽继远软件有限公司 | A kind of intelligent electric meter data acquisition remote transmission device based on NB-IoT |
CN113358922A (en) * | 2021-06-02 | 2021-09-07 | 清华大学 | Fundamental wave, harmonic wave and inter-harmonic wave electric energy power measurement method of unsteady state power grid signal |
CN115236392A (en) * | 2022-07-13 | 2022-10-25 | 国网河北省电力有限公司营销服务中心 | Multi-characteristic-quantity electric energy metering method and device, terminal and storage medium |
CN115278737A (en) * | 2022-07-29 | 2022-11-01 | 深圳市深玛网络科技有限公司 | Data acquisition method of 5G network |
CN115308486A (en) * | 2022-08-19 | 2022-11-08 | 深圳智微电子科技有限公司 | Electric energy harmonic wave metering method and system |
CN115474078A (en) * | 2022-08-30 | 2022-12-13 | 江苏宁坤科技有限公司 | Data encryption method of live television service based on cloud computing |
Non-Patent Citations (4)
Title |
---|
刘文松;刘韶华;王芸波;: "谐波电能计量技术", 中国电力教育, no. 35 * |
李中伟;张宝军;张宏莉;刘慧众;: "基于FFT复数运算的双向电能计量算法研究", 自动化技术与应用, no. 12 * |
李聪;: "利用电能质量监测装置实现谐波电能计量的一种方法", 大众科技, no. 12 * |
沈杰;张丹;: "谐波电能的计量方法", 现代建筑电气, no. 05 * |
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