CN113189404A - Synchronous line loss measuring platform, loss measuring method and storage medium - Google Patents
Synchronous line loss measuring platform, loss measuring method and storage medium Download PDFInfo
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Abstract
The invention belongs to the technical field of power distribution network line loss calculation, and discloses a synchronous line loss measuring platform, a loss measuring method and a storage medium, wherein a singlechip or a controller corrects collected dynamic data of power distribution network operation and dynamic data of user side loads to obtain effective third data which can be identified and subjected to data processing by the singlechip or the controller; carrying out data processing on the effective third data, and counting the electricity sales in a certain time range in the area; performing synchronous line loss rate calculation on the data after data processing and electricity sales statistics, judging whether the same-ratio change rate of the line loss rate exceeds a preset threshold value, and if so, analyzing corresponding abnormal reasons; and analyzing the obtained abnormal judgment result. The method and the device perform correlation analysis on each data set of the abnormal line loss subsection, provide possible reasons of the abnormal line loss and assist power users in troubleshooting the line loss.
Description
Technical Field
The invention belongs to the technical field of power distribution network line loss calculation, and particularly relates to a synchronous line loss measuring platform, a loss measuring method and a storage medium.
Background
At present, the electric quantity and the line loss rate are core operation indexes of a power grid enterprise and are the most important data for visually reflecting the income and the cost of the enterprise. The line loss rate is used as an index for comprehensively reflecting loss of each link in the operation of the power grid, and the management level of each core service such as production, scheduling, marketing and the like is reflected in a centralized manner.
Due to the fact that the coverage of the data acquisition system is not wide enough and the automation degree is low, when the line loss rate of the electric power enterprise is calculated, the power supply amount and the electricity sales amount of the electric power enterprise are calculated out in a non-synchronous mode, and the measurement is inaccurate.
Through the above analysis, the problems and defects of the prior art are as follows: the existing synchronous line loss measurement method has inaccurate measurement result and poor real-time performance. In addition, in the prior art, possible reasons of the line loss abnormity cannot be given out in the correlation analysis of each data set of the line loss abnormity subsection, and the power users cannot be assisted to carry out line loss problem troubleshooting.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a synchronous line loss measuring platform, a loss measuring method and a storage medium.
The invention is realized in this way, a method for measuring the synchronous line loss comprises the following steps:
selecting data acquisition nodes for a user side based on a power distribution network and a power distribution network facility;
secondly, arranging sensors and data acquisition equipment based on the selected data acquisition nodes;
acquiring running dynamic data of the power distribution network and dynamic data of user side loads by using the arranged sensors and the data acquisition equipment;
correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load of the user side by the single chip microcomputer or the controller to obtain effective third data which can be identified and subjected to data processing by the single chip microcomputer or the controller;
fifthly, carrying out data processing on the effective third data, and counting the electricity sales in a certain time range in an area;
step six, performing synchronous line loss rate calculation on the data after data processing and electricity sales statistics, judging whether the same-ratio change rate of the line loss rate exceeds a preset threshold value, and if so, analyzing corresponding abnormal reasons; and transmitting the abnormal judgment result obtained by analysis to the cloud terminal by adopting a real-time communication technology.
Further, the method for correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load of the user side by the singlechip or the controller in the step four comprises the following steps:
acquiring dynamic data to be corrected, wherein the dynamic data to be corrected comprises dynamic data of power distribution network operation and dynamic data of user side loads;
the dynamic data to be corrected is defined into a first format which can be recognized by the single chip microcomputer or the controller; converting the format of the first format into a second format, wherein the second format is defined as second data which can be identified by the single chip microcomputer or the controller; and cleaning the second data, deleting useless data, and obtaining effective third data which can be identified and processed by the singlechip or the controller.
Further, the method for processing valid third data in the fifth step includes:
firstly, segmenting the Doppler change range and the change range of the Doppler change rate in effective third data, and matching the segmented Doppler change range and the change range of the Doppler change rate with inserted pilot frequency information to perform coarse capture;
and secondly, performing frequency offset compensation on the roughly captured signal, and then performing artificial frequency shift, diversity processing and demodulation on the signal with the residual Doppler frequency offset to obtain data needing synchronous line loss rate calculation in the later stage.
Further, the first method for inserting pilot information includes:
carrying out IFFT preprocessing on the effective third data after bpsk modulation to obtain data Xs [ m ] to be transmitted; inserting a section of pilot data Xsp [ k ] with a ratio of λ ═ k/(k + m) at equal intervals for data Xs [ m ] to be transmitted, and making k + m ═ n to obtain transmitted data Xs [ n ]; n, m, k are the total length of the transmitted data, the effective third data length, and the pilot data length, respectively.
Further, the method for performing coarse acquisition by matching the first step with the inserted pilot information comprises:
(1) through a measurement and control transmission channel with Doppler frequency offset fdAnd a Doppler first order rate of change faIs sampled as Xr[n]：
Wherein H (n) is a channel gain coefficient, and N (n) is white Gaussian noise;
(2) from valid third data Xr[n]In which pilot frequency information X of corresponding position is extractedrp[k]：
Wherein h (k) and n (k) are the channel gain coefficient and gaussian white noise at the corresponding pilot positions, respectively;
(3) maximum Doppler interval [ -F ]dmax,Fdmax]Dividing into N segments called N Doppler frequency shift channels, and dividing the maximum Doppler change rate interval [ -F ]amax,Famax]Dividing into M segments, called M Doppler rate-of-change channels, and generating N x M carriers of the formiFrequency deviation of Doppler, KthjThe carrier for each doppler rate of change channel is:
wherein
Is the Doppler frequency offset corresponding to the ith channel of the Doppler frequency offset channel,
is the Doppler change rate corresponding to the jth channel of the Doppler change rate channels; wherein i is 1,2, …, N, j is 1,2, …, M;
(4) mixing Xrp[k]To each channel
The multiplication is processed by FFT transform after passing through a filter, and the maximum value V is searched in the frequency domaini,j；
(5) In thatObtaining N x M Vi,jSearching again for the maximum value V among the maximum valuesmax(i,j)The channel in which the maximum value is located is preset
And
as the result of this coarse capture, respectively denoted as Fd'，Fa'。
Further, the step six of calculating the synchronous line loss rate of the data after data processing and electricity sales statistics comprises:
constructing line loss change data sets of at least two spatial resolutions based on the data uploaded by all the sensing devices;
analyzing data uploaded by all the sensing devices to construct line loss element data sets with at least two spatial resolutions;
converting the line loss change data set and the line loss element data set by adopting a singular value decomposition method to obtain a time coefficient item;
and sequencing the time coefficient items from large to small, and calculating the time coefficient items based on the first N to obtain a correlation coefficient, namely obtaining the synchronous line loss rate data with large influence on the line loss rate.
Further, the step six judges whether the line loss rate change rate with the same ratio exceeds a preset threshold, if so, analyzes a corresponding abnormal reason, and specifically includes:
determining a line with the line loss rate change rate exceeding a threshold value, carrying out line positioning, and determining the position of a segmentation point with the line loss rate exceeding the standard;
the method comprises the steps that through carrying out correlation analysis on data uploaded by all sensing equipment of a segmentation point and the change of the line loss rate within the standard exceeding time, factors which have large influence on the line loss rate are determined;
and determining the abnormal reason based on the determined factors which have great influence on the line loss rate.
Another objective of the present invention is to provide a platform for implementing synchronous line loss measurement, comprising:
the node data acquisition module is used for selecting data acquisition nodes for the user side based on the power distribution network and the power distribution network facilities; arranging sensors and data acquisition equipment based on the selected data acquisition nodes;
the sensor and the data acquisition equipment are used for acquiring running dynamic data of the power distribution network and dynamic data of user side loads;
the single chip microcomputer or the controller is used for correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load of the user side to obtain effective third data which can be identified and subjected to data processing; carrying out data processing on the effective third data, and counting the electricity sales in a certain time range in the area;
the synchronous line loss rate abnormity analysis module is used for calculating the synchronous line loss rate of the data after data processing and electricity sales statistics, judging whether the same-ratio change rate of the line loss rate exceeds a preset threshold value, and if so, analyzing corresponding abnormity reasons;
and the communication module is used for transmitting the abnormal judgment result obtained by the analysis of the synchronous line loss rate abnormal analysis module to the cloud end by adopting a real-time communication technology.
Further, the contemporaneous line loss measurement platform further comprises:
the output module is connected with the single chip microcomputer or the controller and used for outputting a line loss rate calculation result and an abnormal judgment result obtained by analysis;
and the storage module is connected with the single chip microcomputer or the controller and is used for storing processed information of the node data acquisition module, the sensor, the data acquisition equipment, the single chip microcomputer or the controller and the synchronous line loss rate abnormity analysis module.
It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the contemporaneous line loss measurement method.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention realizes the synchronism of the calculation of the line loss rate of the power grid statistics, restores the real statistical line loss rate and provides an accurate basis for line loss management and management decision. The invention provides a synchronization line loss calculation method, a line loss abnormal subsection positioning method and a multi-dimensional line loss correlation analysis method by combining real-time data sets of all measuring points, performs correlation analysis on each data set of the line loss abnormal subsection, gives possible reasons of line loss abnormality and assists power users in troubleshooting line loss problems.
The single chip microcomputer or the controller adopts a domestic chip, the newly selected domestic chip is a 32-bit Cortex-M0 core, the highest speed can reach 26.2144MHz, and the single chip microcomputer or the controller is provided with a standard SWD debugging interface; a 256KBFLASH memory is arranged in the device, has write protection and encryption functions, and supports ISP and IAP; 32 kbyte SRAM with parity; the abnormality can be monitored in real time, including FLASH check and error, SRAM parity error, memory address error and memory alignment error. Compared with the common imported chip, the domestic chip can completely replace the imported chip in part of functions.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of a contemporaneous line loss measurement method according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load at the user terminal by the single chip microcomputer or the controller according to the embodiment of the present invention.
Fig. 3 is a flowchart of a method for data processing of valid third data according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for performing coarse acquisition by matching with inserted pilot information according to an embodiment of the present invention.
Fig. 5 is a flowchart of calculating a synchronous line loss rate of data after data processing and power consumption statistics according to an embodiment of the present invention. :
fig. 6 is a flowchart for determining whether the rate of change of the line loss rate in the same ratio exceeds a preset threshold, and if so, analyzing a corresponding abnormal cause.
Fig. 7 is a schematic diagram of a platform for implementing contemporaneous line loss measurement according to an embodiment of the present invention. In the figure: 1. a node data acquisition module; 2. a sensor and a data acquisition device; 3. a single chip or controller; 4. a synchronous line loss rate abnormity analysis module; 5. a communication module; 6. an output module; 7. and a storage module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a contemporaneous line loss measuring platform and a method thereof, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides a method for measuring a contemporaneous line loss, comprising:
s101, selecting data acquisition nodes for a user side based on a power distribution network and a power distribution network facility;
s102, arranging sensors and data acquisition equipment based on the selected data acquisition nodes;
s103, acquiring running dynamic data of the power distribution network and dynamic data of user side loads by using the arranged sensors and the data acquisition equipment;
s104, correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load of the user terminal by the single chip microcomputer or the controller to obtain effective third data which can be identified and subjected to data processing by the single chip microcomputer or the controller;
s105, carrying out data processing on the effective third data, and carrying out statistics on the electricity sales in a certain time range in an area;
s106, performing synchronous line loss rate calculation on the data after data processing and electricity sales statistics, judging whether the same-ratio change rate of the line loss rate exceeds a preset threshold value, and if so, analyzing corresponding abnormal reasons; and transmitting the abnormal judgment result obtained by analysis to the cloud terminal by adopting a real-time communication technology.
The technical solution of the present invention is further described below with reference to specific examples.
Example 1
As shown in fig. 2, the method for correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load at the user terminal by the single chip or the controller includes:
s201, acquiring dynamic data to be corrected, wherein the dynamic data to be corrected comprises dynamic data of power distribution network operation and dynamic data of user side loads;
s202, the dynamic data to be corrected is defined into a first format which can be identified by the single chip microcomputer or the controller; converting the format of the first format into a second format, wherein the second format is defined as second data which can be identified by the single chip microcomputer or the controller; and cleaning the second data, deleting useless data, and obtaining effective third data which can be identified and processed by the singlechip or the controller.
Example 2
As shown in fig. 3, the method for data processing of valid third data includes:
s301, segmenting the Doppler change range and the change range of the Doppler change rate in the effective third data, and matching the segmented Doppler change range and the change range of the Doppler change rate with the inserted pilot frequency information to perform coarse capture;
s302, performing frequency offset compensation on the roughly captured signal, and then performing artificial frequency shift, diversity processing and demodulation on the signal with the residual Doppler frequency offset to obtain data needing synchronous line loss rate calculation in the later stage.
Preferably, the method for inserting pilot information in the first step includes:
carrying out IFFT preprocessing on the effective third data after bpsk modulation to obtain data Xs [ m ] to be transmitted; inserting a section of pilot data Xsp [ k ] with a ratio of λ ═ k/(k + m) at equal intervals for data Xs [ m ] to be transmitted, and making k + m ═ n to obtain transmitted data Xs [ n ]; n, m, k are the total length of the transmitted data, the effective third data length, and the pilot data length, respectively.
As shown in fig. 4, the method for performing coarse acquisition by matching step S301 with the inserted pilot information includes:
s401, passing through a measurement and control transmission channel and carrying Doppler frequency offset fdAnd a Doppler first order rate of change faIs sampled as Xr[n]：
Wherein H (n) is a channel gain coefficient, and N (n) is white Gaussian noise;
s402, from the valid third data Xr[n]In which pilot frequency information X of corresponding position is extractedrp[k]：
Wherein h (k) and n (k) are the channel gain coefficient and gaussian white noise at the corresponding pilot positions, respectively;
s403, dividing the maximum Doppler interval [ -F ]dmax,Fdmax]Dividing into N segments called N Doppler frequency shift channels, and dividing the maximum Doppler change rate interval [ -F ]amax,Famax]Dividing into M segments, called M Doppler rate-of-change channels, and generating N x M carriers of the formiFrequency deviation of Doppler, KthjThe carrier for each doppler rate of change channel is:
wherein
Is the Doppler frequency offset corresponding to the ith channel of the Doppler frequency offset channel,
is the Doppler change rate corresponding to the jth channel of the Doppler change rate channels; wherein i is 1,2, …, N, j is 1,2, …, M;
s404, mixing Xrp[k]To each channel
The multiplication is processed by FFT transform after passing through a filter, and the maximum value is searched in the frequency domain
S405, obtaining N x M Vi,jSearching again for the maximum value V among the maximum valuesmax(i,j)The channel in which the maximum value is located is preset
And
as the result of this coarse capture, respectively denoted as Fd'，Fa'。
Example 3
As shown in fig. 5, the calculation of the synchronous line loss rate of the data after data processing and power sale statistics includes:
s501, constructing line loss change data sets with at least two spatial resolutions based on data uploaded by all sensing devices;
s502, analyzing data uploaded by all the sensing devices to construct line loss element data sets with at least two spatial resolutions;
s503, converting the line loss change data set and the line loss element data set by adopting a singular value decomposition method to obtain a time coefficient item;
s504, the time coefficient items are sorted from big to small, and correlation coefficients are obtained by calculating the time coefficient items based on the first N, namely the synchronous line loss rate data with large influence on the line loss rate is obtained.
Example 4
As shown in fig. 6, whether the determined line loss rate-to-ratio change rate exceeds a preset threshold value, if so, analyzing a corresponding abnormal reason, specifically including:
determining a line with the line loss rate change rate exceeding a threshold value, carrying out line positioning, and determining the position of a segmentation point with the line loss rate exceeding the standard;
the method comprises the steps that through carrying out correlation analysis on data uploaded by all sensing equipment of a segmentation point and the change of the line loss rate within the standard exceeding time, factors which have large influence on the line loss rate are determined;
and determining the abnormal reason based on the determined factors which have great influence on the line loss rate.
Example 5
As shown in fig. 7, the present invention provides a platform for implementing contemporaneous line loss measurement, including:
the node data acquisition module 1 is used for selecting data acquisition nodes for a user side based on a power distribution network and a power distribution network facility; arranging sensors and data acquisition equipment based on the selected data acquisition nodes;
the sensor and data acquisition equipment 2 is used for acquiring running dynamic data of the power distribution network and dynamic data of user side loads;
the single chip microcomputer or the controller 3 is used for correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load of the user side to obtain effective third data which can be identified and subjected to data processing; carrying out data processing on the effective third data, and counting the electricity sales in a certain time range in the area;
the synchronous line loss rate abnormity analysis module 4 is used for calculating the synchronous line loss rate of the data after data processing and electricity sales statistics, judging whether the same-ratio change rate of the line loss rate exceeds a preset threshold value, and if so, analyzing corresponding abnormity reasons;
and the communication module 5 is used for transmitting the abnormal judgment result obtained by the analysis of the synchronous line loss rate abnormal analysis module to the cloud end by adopting a real-time communication technology.
The output module 6 is connected with the single chip microcomputer or the controller and used for outputting a line loss rate calculation result and an abnormal judgment result obtained through analysis;
and the storage module 7 is connected with the single chip microcomputer or the controller and is used for storing processed information of the node data acquisition module, the sensor, the data acquisition equipment, the single chip microcomputer or the controller and the synchronous line loss rate abnormity analysis module.
The effects of the present invention will be further described below with reference to experimental data.
Experiments show that the invention provides a synchronization line loss calculation method, a line loss abnormal subsection positioning method and a multi-dimensional line loss correlation analysis method by combining real-time data sets of all measuring points, performs correlation analysis on all data sets of the line loss abnormal subsection, provides possible reasons of line loss abnormality and assists power users in troubleshooting line loss problems.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. A contemporaneous line loss measurement method, comprising: selecting data acquisition nodes for a user side and a power distribution network facility based on a power distribution network, arranging sensors and data acquisition equipment based on the selected data acquisition nodes, and acquiring dynamic data of power distribution network operation and dynamic data of user side loads by using the arranged sensors and the data acquisition equipment, wherein a single chip microcomputer or a controller corrects the acquired dynamic data of power distribution network operation and dynamic data of user side loads to obtain effective third data which can be identified and subjected to data processing by the single chip microcomputer or the controller; carrying out data processing on the effective third data, and counting the electricity sales in a certain time range in the area;
performing synchronous line loss rate calculation on the data after data processing and electricity sales statistics, judging whether the same-ratio change rate of the line loss rate exceeds a preset threshold value, and if so, analyzing corresponding abnormal reasons; and transmitting the abnormal judgment result obtained by analysis to the cloud terminal by adopting a real-time communication technology.
2. The contemporaneous line loss measurement method of claim 1, wherein the method for the single chip microcomputer or the controller to correct the collected dynamic data of the operation of the distribution network and the dynamic data of the loads at the user terminals comprises:
acquiring dynamic data to be corrected, wherein the dynamic data to be corrected comprises dynamic data of power distribution network operation and dynamic data of user side loads;
the dynamic data to be corrected is defined into a first format which can be recognized by the single chip microcomputer or the controller; converting the format of the first format into a second format, wherein the second format is defined as second data which can be identified by the single chip microcomputer or the controller; and cleaning the second data, deleting useless data, and obtaining effective third data which can be identified and processed by the singlechip or the controller.
3. The contemporaneous line loss measurement method according to any one of claims 1 to 2, wherein the method for data processing of the valid third data comprises:
firstly, segmenting the Doppler change range and the change range of the Doppler change rate in effective third data, and matching the segmented Doppler change range and the change range of the Doppler change rate with inserted pilot frequency information to perform coarse capture;
and secondly, performing frequency offset compensation on the roughly captured signal, and then performing artificial frequency shift, diversity processing and demodulation on the signal with the residual Doppler frequency offset to obtain data needing synchronous line loss rate calculation in the later stage.
4. The contemporaneous line loss measurement method of claim 3 wherein said first step of inserting pilot information comprises:
carrying out IFFT preprocessing on the effective third data after bpsk modulation to obtain data Xs [ m ] to be transmitted; inserting a section of pilot data Xsp [ k ] with a ratio of λ ═ k/(k + m) at equal intervals for data Xs [ m ] to be transmitted, and making k + m ═ n to obtain transmitted data Xs [ n ]; n, m, k are the total length of the transmitted data, the effective third data length, and the pilot data length, respectively.
5. The contemporaneous line loss measurement method of claim 3 wherein said first step of performing coarse acquisition by matching with inserted pilot information comprises:
(1) through a measurement and control transmission channel with Doppler frequency offset fdAnd a Doppler first order rate of change faIs sampled as Xr[n]：
Wherein H (n) is a channel gain coefficient, and N (n) is white Gaussian noise;
(2) from valid third data Xr[n]In which pilot frequency information X of corresponding position is extractedrp[k]：
Wherein h (k) and n (k) are the channel gain coefficient and gaussian white noise at the corresponding pilot positions, respectively;
(3) maximum Doppler interval [ -F ]dmax,Fdmax]Dividing into N segments called N Doppler frequency shift channels, and dividing the maximum Doppler change rate interval [ -F ]amax,Famax]Dividing into M segments, called M Doppler rate-of-change channels, and generating N x M carriers of the formiFrequency deviation of Doppler, KthjThe carrier for each doppler rate of change channel is:
wherein
Is the Doppler frequency offset corresponding to the ith channel of the Doppler frequency offset channel,
is the Doppler change rate corresponding to the jth channel of the Doppler change rate channels; wherein i is 1,2, …, N, j is 1,2, …, M;
(4) mixing Xrp[k]To each channel
The multiplication is processed by FFT transform after passing through a filter, and the maximum value V is searched in the frequency domaini,j；
(5) In obtaining N x M Vi,jSearching again for the maximum value V among the maximum valuesmax(i,j)The channel in which the maximum value is located is preset
And
as the result of this coarse capture, respectively denoted as Fd'，Fa'。
6. The contemporaneous line loss measurement method of claim 1, wherein the calculating of the contemporaneous line loss rate of the data after data processing and power sale statistics comprises:
constructing line loss change data sets of at least two spatial resolutions based on the data uploaded by all the sensing devices;
analyzing data uploaded by all the sensing devices to construct line loss element data sets with at least two spatial resolutions;
converting the line loss change data set and the line loss element data set by adopting a singular value decomposition method to obtain a time coefficient item;
and sequencing the time coefficient items from large to small, and calculating the time coefficient items based on the first N to obtain a correlation coefficient, namely obtaining the synchronous line loss rate data with large influence on the line loss rate.
7. The contemporaneous line loss measurement method of claim 1, wherein the determining whether the rate of change of the line loss rate in the same ratio exceeds a preset threshold, and if so, analyzing the corresponding cause of the abnormality specifically comprises:
determining a line with the line loss rate change rate exceeding a threshold value, carrying out line positioning, and determining the position of a segmentation point with the line loss rate exceeding the standard;
the method comprises the steps that through carrying out correlation analysis on data uploaded by all sensing equipment of a segmentation point and the change of the line loss rate within the standard exceeding time, factors which have large influence on the line loss rate are determined;
and determining the abnormal reason based on the determined factors which have great influence on the line loss rate.
8. A contemporaneous line loss measurement platform for implementing the contemporaneous line loss measurement method of any one of claims 1 to 7, wherein the contemporaneous line loss measurement platform comprises:
the node data acquisition module is used for selecting data acquisition nodes for the user side based on the power distribution network and the power distribution network facilities; arranging sensors and data acquisition equipment based on the selected data acquisition nodes;
the sensor and the data acquisition equipment are used for acquiring running dynamic data of the power distribution network and dynamic data of user side loads;
the single chip microcomputer or the controller is used for correcting the collected dynamic data of the operation of the power distribution network and the dynamic data of the load of the user side to obtain effective third data which can be identified and subjected to data processing; carrying out data processing on the effective third data, and counting the electricity sales in a certain time range in the area;
the synchronous line loss rate abnormity analysis module is used for calculating the synchronous line loss rate of the data after data processing and electricity sales statistics, judging whether the same-ratio change rate of the line loss rate exceeds a preset threshold value, and if so, analyzing corresponding abnormity reasons;
and the communication module is used for transmitting the abnormal judgment result obtained by the analysis of the synchronous line loss rate abnormal analysis module to the cloud end by adopting a real-time communication technology.
9. The contemporaneous line loss measurement platform of claim 8, wherein the contemporaneous line loss measurement platform further comprises:
the output module is connected with the single chip microcomputer or the controller and used for outputting a line loss rate calculation result and an abnormal judgment result obtained by analysis;
and the storage module is connected with the single chip microcomputer or the controller and is used for storing processed information of the node data acquisition module, the sensor, the data acquisition equipment, the single chip microcomputer or the controller and the synchronous line loss rate abnormity analysis module.
10. A computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the contemporaneous line loss measurement method of any of claims 1-7.
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