CN115133659A - On-line monitoring method and system for low-voltage line loss of low-voltage distribution network - Google Patents
On-line monitoring method and system for low-voltage line loss of low-voltage distribution network Download PDFInfo
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Abstract
The invention provides an on-line monitoring method and system for low-voltage line loss of a low-voltage distribution network, wherein the method comprises the following steps: acquiring ammeter reading electricity utilization data of a user side ammeter on a branch line in a low-voltage distribution network in an ammeter reading and sending period; acquiring user side line monitoring data on each branch line in a low-voltage distribution network; and for the jth user of the ith branch line, determining the user data deviation and the current trend of the user side line according to the electricity meter reading data and the user side line monitoring data, and judging that the user side has the low-voltage line loss risk. The method disclosed by the invention is used for solving the problem of low-voltage line loss at the user side, integrating comprehensive judgment of power consumption deviation and current variation trend, realizing identification of line loss at the user side, accurately positioning users of line loss without field investigation, simultaneously realizing investigation of a plurality of user sides, improving efficiency and safety of line loss investigation and realizing automatic and intelligent low-voltage line loss inspection investigation.
Description
Technical Field
The invention relates to the technical field of low-voltage power distribution, in particular to line loss detection of a low-voltage network, and particularly relates to an online monitoring method and system for low-voltage line loss of a low-voltage power distribution network.
Background
The damage of the low-voltage distribution network is mainly low-voltage loss of the line, and the actual estimation and determination of the line loss of the low-voltage distribution area are influenced by factors such as electricity stealing and leakage, insulation damage, scattered users, complex distribution network constructed in the early stage and the like due to reasons such as early construction, line aging, line participation, large electricity consumption at the tail end, abnormal acquisition and the like.
At present, two modes of offline investigation and online analysis are generally adopted for the investigation of line loss. The off-line inspection refers to that an inspector of the power system directly carries out carpet type on-site inspection on a transformer area, inspects the on-site acquisition condition of the transformer area, judges whether acquisition abnormality exists or not, then inspects branch lines in the low-voltage transformer area one by one, detects whether electric leakage, insulation damage and other conditions exist or not, and finally inspects all user sides one by one and checks whether electricity consumption without a power meter, electricity consumption abnormality and other conditions exist or not. The offline checking mode is long in time consumption and large in investment, and has higher requirements on the professional performance of the checking personnel, and the offline checking mode is easily influenced by subjective judgment.
The online analysis is to analyze the branch line collected data in the distribution room and the power consumption data of the user side, and then judge the branch line loss, for example, a machine learning regression analysis based on the virtual line resistance, which is proposed in the patent application with the publication number of CN113224748A, establishes a line loss estimation model, and estimates the line loss. However, the method basically obtains a theoretical line loss value by performing characteristic analysis and machine learning modeling through characteristic analysis and logistic regression analysis on historical data and parameters such as actually measured electricity supply and sales, current, voltage, power factor, statistical line loss and the like. In another type of online analysis method, cluster analysis of multidimensional parameter characteristics of power utilization information of the distribution room is adopted, a neural network regression model is built, and a line loss value is calculated and estimated. The method adopts an estimation method to determine the line loss value, and the error of the early discovery of the line loss is large in practical test, so that the line loss and the line loss at the user side are difficult to accurately determine and position.
Disclosure of Invention
According to a first aspect of the object of the present invention, there is provided an online monitoring method for low voltage line loss of a low voltage distribution network, comprising the steps of:
acquiring ammeter reading electricity utilization data of a user side ammeter on each branch line in a low-voltage distribution network in an ammeter reading and sending period;
obtaining user side line monitoring data on each branch line in a low-voltage distribution network, wherein the user side line monitoring data are obtained by real-time continuous monitoring through a detection device arranged on a line between the branch line and an ammeter at a user side;
and for the jth user of the ith branch line, determining the user data deviation and the current trend of the user side line according to the electricity meter reading data and the user side line monitoring data, and judging that the user side has the low-voltage line loss risk when the user data deviation of the user side line exceeds a preset line loss deviation threshold value and the current trend count reaches a preset continuous opposite trend threshold value.
In a preferred embodiment, the operation of determining that the low-voltage line loss exists on the subscriber side for the jth subscriber of the ith branch line comprises:
calculating user data deviation of a user side line according to the electricity meter reading data and the user side line monitoring data;
responding to the fact that the data deviation of a user side line exceeds a preset line loss deviation threshold value, judging that the user side is a suspicious line loss user, and taking the suspicious line loss user as a first judgment condition;
calculating a current trend according to the electricity data read by the ammeter and the monitoring data of the user side line, and determining a current trend count according to the current trend of the user side line and the current trend of the ammeter;
when the current trend count reaches a preset continuous opposite trend threshold value, judging that the user side is a suspicious line loss user, and taking the suspicious line loss user as a second judgment condition;
and when the first judgment condition and the second judgment condition are simultaneously achieved, judging that the user side has the risk of low-voltage line loss.
According to a second aspect of the object of the present invention, there is also provided an online monitoring system for low voltage line loss of a low voltage distribution network, comprising:
one or more processors;
a memory storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations comprising a process of the online monitoring method of low voltage line loss of the low voltage power distribution network.
According to a third aspect of the object of the present invention, a computer-readable medium is also proposed, which stores software comprising instructions executable by one or more processors, the instructions by such execution causing the one or more processors to perform operations comprising the aforementioned flow of the method for online monitoring of low voltage line loss of a low voltage distribution network.
By implementing the online monitoring method for the low-voltage line loss of the low-voltage distribution network, the online real-time monitoring can be carried out on the low-voltage line loss of the user side, the comprehensive judgment of the power consumption deviation and the current change trend is integrated, the judgment and the identification of the line loss of the user side are realized, the on-site inspection is not needed, the user with the line loss can be accurately positioned, the efficiency and the safety of the line loss inspection are improved, the difficulty and the time of the whole inspection are shortened, the inspection and the inspection time of a power grid are saved, and the simultaneous inspection of a plurality of user sides can be simultaneously realized.
Meanwhile, the online monitoring method for the low-voltage line loss of the low-voltage distribution network, provided by the invention, is used for continuously monitoring the collected user line network data and the ammeter data fed back by the ammeter in real time, discovering the line loss abnormality in time and realizing automatic and intelligent inspection and routing inspection of the line.
It should be understood that all combinations of the foregoing concepts and additional concepts described in greater detail below can be considered as part of the inventive subject matter of this disclosure unless such concepts are mutually inconsistent. In addition, all combinations of claimed subject matter are considered a part of the presently disclosed subject matter.
The foregoing and other aspects, embodiments and features of the present teachings can be more fully understood from the following description taken in conjunction with the accompanying drawings. Additional aspects of the present invention, such as features and/or advantages of exemplary embodiments, will be apparent from the description which follows, or may be learned by practice of specific embodiments in accordance with the teachings of the present invention.
Drawings
The drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component that is illustrated in various figures may be represented by a like numeral. For purposes of clarity, not every component may be labeled in every drawing. Embodiments of various aspects of the present invention will now be described, by way of example, with reference to the accompanying drawings, in which:
fig. 1 is a schematic flow diagram of a method for online monitoring of low voltage line loss of a low voltage distribution network according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an online monitoring device for low-voltage line loss of a low-voltage distribution network according to an embodiment of the invention.
Fig. 3 is a schematic diagram of an online monitoring system for low-voltage line loss of a low-voltage distribution network according to an embodiment of the invention.
Detailed Description
In order to better understand the technical content of the present invention, specific embodiments are described below with reference to the accompanying drawings.
In this disclosure, aspects of the present invention are described with reference to the accompanying drawings, in which a number of illustrative embodiments are shown. Embodiments of the present disclosure are not necessarily intended to include all aspects of the invention. It should be appreciated that the various concepts and embodiments described above, as well as those described in greater detail below, may be implemented in any of numerous ways, as the disclosed concepts and embodiments are not limited to any one implementation. In addition, some aspects of the present disclosure may be used alone, or in any suitable combination with other aspects of the present disclosure.
The on-line monitoring method for the low-voltage line loss of the low-voltage distribution network aims to realize the judgment and identification of the line loss of the user side by integrating the comprehensive judgment of the deviation of the power consumption and the current change trend aiming at the on-line real-time monitoring of the low-voltage line loss of the user side.
The flow shown in fig. 1 represents implementation steps of an example of an online monitoring method for low-voltage line loss of a low-voltage distribution network, and includes:
s101: acquiring ammeter reading electricity data of a user side ammeter on each branch line in a low-voltage distribution network in an ammeter reading and sending period;
s102: acquiring user side line monitoring data on each branch line in a low-voltage distribution network, wherein the user side line monitoring data is obtained by real-time continuous monitoring through a detection device arranged on a line between the branch line and an ammeter at a user side;
s103: and analyzing according to the electricity consumption data of the electric meter reading and the line monitoring data of the user side, performing comprehensive judgment by combining the user abnormity and the current variation trend, and identifying the line loss risk of the user side.
And for the jth user of the ith branch line, determining the user data deviation and the current trend of the user side line according to the electricity meter reading data and the user side line monitoring data, and judging that the user side has the low-voltage line loss risk when the user data deviation of the user side line exceeds a preset line loss deviation threshold value and the current trend count reaches a preset continuous opposite trend threshold value.
In the step S101, obtaining data of electric meter reading and electricity consumption of the electric meter in an electric meter reading and sending period of the user-side electric meter on each branch line in the low-voltage distribution network includes:
and extracting the electric meter reading electricity consumption data M of the user side electric meter on each branch line in an electric meter reading and sending period T from the electric network reading data, wherein the electric meter reading and sending period T is the reading and sending period of the intelligent electric meter.
In the embodiment of the invention, the electric meter, in particular to a commercial intelligent electric meter for remotely reading the report form used by a power grid system, is arranged on the household side of each user to realize the electric quantity metering of each user. In the metering process, the electric meter collects the electricity consumption data of one user, including current, voltage and electricity consumption data, and remotely sends the electricity consumption data to a charging system of the power grid according to a preset period.
For example, when the intelligent electric energy meter works, voltage data are sampled and collected through internal resistance voltage division, current data are sampled and collected through a current transformer, the sampled and collected current data are sent to a main chip after filtering processing to perform electric quantity pulse collection, electric quantity accumulation and various calculation analysis processing, the calculation processing of active and reactive electric energy of three alternating currents is completed, and the result is stored in a data memory.
In the embodiment of the invention, the intelligent ammeter sends the electricity consumption data in a manner of every 15 minutes, namely, the reading and sending period T of the ammeter is 15 min.
In the embodiment of the invention, the line monitoring data at the user side comprises the line current value and the line voltage value which are collected according to the preset sampling period, and the electricity consumption data is obtained according to the line current value and the line voltage value, and the electricity consumption can be calculated based on the calculation mode in the commercial intelligent electric meter.
The detection device can be realized based on a commercial current transformer and a voltage sampler, or based on an integrated current and voltage detection device, and different detection devices can be selected according to needs, such as a single-path or multi-path three-phase alternating current electric meter with a wireless remote communication function (internet of things), so that full-parameter measurement of alternating current three-phase input can be realized, including voltage, current, frequency, active power, reactive power, power factor, harmonic power, accumulated electric quantity and the like.
In step S103, in the embodiment of the present invention, the operation of determining that there is a low voltage line loss on the subscriber side for the jth subscriber of the ith branch line includes:
calculating user data deviation of a user side line according to the electric meter reading electricity data and the user side line monitoring data;
responding to the fact that the data deviation of a user side line exceeds a preset line loss deviation threshold value, judging that the user side is a suspicious line loss user, and taking the suspicious line loss user as a first judgment condition;
calculating a current trend according to the electricity data read by the ammeter and the monitoring data of the user side line, and determining a current trend count according to the current trend of the user side line and the current trend of the ammeter;
when the current trend count reaches a preset continuous opposite trend threshold value, judging that the user side is a suspicious line loss user, and taking the suspicious line loss user as a second judgment condition;
and when the first judgment condition and the second judgment condition are simultaneously achieved, judging that the user side has the risk of low-voltage line loss.
Wherein, calculate user side circuit user data deviation according to ammeter power consumption data of checking meter and user side circuit monitoring data, include:
for the jth user of the ith branch line, acquiring a line current value and a line voltage value which are acquired according to a preset sampling period t and power consumption data obtained by calculation on the basis of the line current value and the line voltage value, and determining power consumption monitoring data X in each minute;
wherein n represents a preset sampling period t and the sampling times in one minute, and Xn represents power consumption data obtained by calculation according to a current value and a voltage value obtained by each sampling;
calculating user data deviation D2 of a line at the user side by combining power consumption monitoring data Xt within each minute and electric meter reading power consumption data M of an electric meter of the user side in an electric meter reading and reporting period T;
wherein, X q Representing power usage monitoring data for the qth minute; and q represents the number of minutes corresponding to the reading and sending period T of the electric meter.
In an embodiment of the present invention, T is set to 15min and q is set to 15.
And if D2> D1, determining that the user side of the branch line is a suspicious line loss user, and if D2< ═ D1, determining that no line loss exists, wherein D1 represents a preset allowable line loss deviation threshold value.
In the foregoing deviation calculation process, since the monitoring data is real-time and the data density is high, in the embodiment of the present invention, the average value of the total data amount per minute is taken as a reference.
The sampling period t of the detection device can be set by a user according to a layout scene, for example, t is 5s, which means that every 5s the power utilization data are collected.
In step S103, as an optional method, a current trend is calculated according to the meter reading electricity data of the electric meter and the monitoring data of the line at the user side, and a current trend count is determined according to the current trend of the line at the user side and the current trend of the electric meter, where the specific operation process includes:
acquiring a line current value acquired according to a preset sampling period t, and determining a line current trend of a user side according to the line current value change of adjacent sampling periods; if the line current value change of the ith sampling period is more than 0, the line current trend K of the user side i 1, if the line current value variation of the ith sampling period is less than 0, the user side line current trend K i ＝0，
Acquiring the ammeter current value of each sampling period t, and determining the ammeter current trend at the user side according to the ammeter current value change of the adjacent sampling periods; if the change of the ammeter current value of the ith sampling period is more than 0, the user side ammeter current trend K i If the value change of the ammeter current of the ith sampling period is less than 0, the user-side ammeter current trend K is determined i ＝0；
Setting a current trend count C and initializing C to be 0;
when the current trend F of the user side ammeter in the ith sampling period i And the line current trend K of the subscriber side i When the current trend counts C are inconsistent, accumulating and updating the current trend counts C continuously from the ith sampling period, namely starting from the ith sampling period, if the current trend of the electric meter at the user side is inconsistent with the current trend of the line at the user side continuously, accumulating 1 by the current trend counts C;
and when the current trend count reaches a preset continuous opposite trend threshold value W, judging the user side as a suspicious line loss user.
Wherein, according to user side line current trend and ammeter current trend confirm current trend count, wherein:
and when the current trend of the user-side ammeter in a certain sampling period is consistent with the current trend of the user-side line, resetting the current trend count C, and juxtaposing C as 0.
Therefore, in the low-voltage distribution network low-voltage line loss online monitoring method provided by the invention, the line loss risk of a user side is identified and judged by comprehensively detecting the deviation between data and ammeter data and the continuous deviation between the monitoring current trend and the ammeter current trend.
For example, the user-side meter current trend is obtained as follows:
F 1 ＝f2-f1；
F 2 ＝f3-f2；
F 3 ＝f4-f3；
……；
F p ＝f(p+1)-fp；
fp indicates current data in the obtained electricity consumption data of the user-side electricity meter in the p-th sampling period.
For a certain sampling period i, i.e. the ith sampling period, if F i >0, the current of the user side ammeter is in an increasing trend, if F i <And 0, the current of the user-side ammeter is in a descending trend.
Similarly, the current values of the adjacent monitoring data are analyzed, and when the change trend is determined, the method comprises the following steps:
K 1 ＝k2-k1；
K 2 ＝k3-k2；
K 3 ＝k4-k3；
……；
K p ＝k(p+1)-kp；
kp represents the current data at the p-th sampling period in the user-side detection data.
For a certain sampling period i, i.e. the ith sampling period, e.g.Fruit K i >0, the line current at the subscriber side is shown to be in an increasing trend, if K i <0, it means that the line current at the subscriber side is in a decreasing trend.
One count data C is set to 0,
when F is present 1 &K 1 When the two trends are inconsistent, C is 1;
when F is present 2 &K 2 When is false, C is 2;
when F is present 3 &K 3 When is false, C is 3;
……
and when the response is that the current variation trends of a plurality of continuous sampling periods are inconsistent, namely one of the current variation trends is an ascending trend, the other current variation trend is a descending trend, the user side is judged to be suspicious, and N is a preset continuous opposite trend threshold.
When the current variation trends of the two are consistent in a certain sampling period, namely F i &K i When the value is true, C returns, C is set to be 0, and the counting is repeated.
With reference to the embodiment shown in fig. 2, the invention further provides an online monitoring device 100 for low-voltage line loss of a low-voltage distribution network, which includes an electricity meter reading data obtaining module 101, a user-side line monitoring data obtaining module 102, and a user-side line loss determining module 103.
And the ammeter reading electricity data acquisition module is used for acquiring ammeter reading electricity data of the user side ammeter on each branch line in the low-voltage distribution network in an ammeter reading and sending period.
And the user side line monitoring data acquisition module is used for acquiring user side line monitoring data on each branch line in the low-voltage distribution network, and the user side line monitoring data is obtained by real-time continuous monitoring of a detection device arranged on the line between the branch line and an ammeter at the user side.
And the line loss judgment module at the user side is used for analyzing according to the electricity data for meter reading of the ammeter and the line monitoring data at the user side, performing comprehensive judgment by combining user abnormity and current variation trend, and identifying the line loss risk at the user side.
In an optional embodiment, the electricity data acquisition module for meter reading of the electricity meter, the line monitoring data acquisition module at the user side and the line loss judgment module at the user side may be configured to be implemented according to corresponding processes or steps in the online monitoring method for low-voltage line loss of the low-voltage distribution network.
In combination with the disclosure of the embodiment of the present invention and as shown in fig. 3, an online monitoring system for low voltage line loss of a low voltage distribution network is further provided, which is implemented based on a computer system, and includes:
one or more processors;
a memory storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations comprising a flow of the online monitoring method of low voltage line loss of the low voltage power distribution network as in the previous embodiment.
It should be understood that fig. 3 illustrates a typical configuration of a computer system, and that the processors may call instructions or instruction sets stored in a computer-readable medium, such as a memory (RAM, ROM, etc.), to cause the one or more processors to execute the aforementioned flow of the method for online monitoring of low voltage line loss of a low voltage distribution network.
The disclosure in connection with an embodiment of the invention also proposes a computer-readable medium storing software comprising instructions executable by one or more processors, the instructions causing the one or more processors to perform operations by such execution, the operations comprising the flow of the online monitoring method of low voltage line loss of a low voltage distribution network of the aforementioned embodiment of the invention.
Although the invention has been described with reference to preferred embodiments, it is not intended to be limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be defined by the appended claims.
Claims (10)
1. An online monitoring method for low-voltage line loss of a low-voltage distribution network is characterized by comprising the following steps:
acquiring ammeter reading electricity utilization data of a user side ammeter on each branch line in a low-voltage distribution network in an ammeter reading and sending period;
acquiring user side line monitoring data on each branch line in a low-voltage distribution network, wherein the user side line monitoring data is obtained by real-time continuous monitoring through a detection device arranged on a line between the branch line and an ammeter at a user side;
and for the jth user of the ith branch line, determining the user data deviation and the current trend of the user side line according to the electricity meter reading data and the user side line monitoring data, and judging that the user side has the low-voltage line loss risk when the user data deviation of the user side line exceeds a preset line loss deviation threshold value and the current trend count reaches a preset continuous opposite trend threshold value.
2. The method for on-line monitoring of the low-voltage line loss of the low-voltage distribution network according to claim 1, wherein the step of obtaining the meter reading electricity consumption data of the user-side electric meter on each branch line in the low-voltage distribution network in one meter reading and sending period comprises the following steps:
and extracting the electric meter reading electricity consumption data M of the user side electric meter on each branch line in an electric meter reading and sending period T from the electric network reading data, wherein the electric meter reading and sending period T is the reading and sending period of the intelligent electric meter.
3. The on-line monitoring method for the low voltage line loss of the low voltage distribution network of claim 1, wherein the line monitoring data at the user side comprises a line current value and a line voltage value which are collected according to a preset sampling period, and power consumption data are obtained according to the line current value and the line voltage value.
4. The on-line monitoring method for the low voltage line loss of the low voltage distribution network according to claim 1, wherein the operation of judging that the low voltage line loss exists on the user side for the jth user of the ith branch line comprises the following steps:
calculating user data deviation of a user side line according to the electricity meter reading data and the user side line monitoring data;
responding to the fact that the data deviation of a user side line exceeds a preset line loss deviation threshold value, judging that the user side is a suspicious line loss user, and taking the suspicious line loss user as a first judgment condition;
calculating a current trend according to the electricity data read by the ammeter and the monitoring data of the user side line, and determining a current trend count according to the current trend of the user side line and the current trend of the ammeter;
when the current trend count reaches a preset continuous opposite trend threshold value, judging that the user side is a suspicious line loss user, and taking the suspicious line loss user as a second judgment condition;
and when the first judgment condition and the second judgment condition are simultaneously achieved, judging that the user side has the risk of low-voltage line loss.
5. The method of claim 4, wherein the calculating the deviation of the user data of the user side line according to the electricity meter reading data and the monitoring data of the user side line comprises:
for the jth user of the ith branch line, acquiring a line current value and a line voltage value which are acquired according to a preset sampling period t and power consumption data which are obtained by calculation on the basis of the line current value and the line voltage value, and determining power consumption monitoring data X in every minute;
wherein n represents a preset sampling period t and the sampling times in one minute, and Xn represents power consumption data obtained by calculation according to a current value and a voltage value obtained by each sampling;
calculating user data deviation D2 of a line at the user side by combining power consumption monitoring data Xt within each minute and electric meter reading power consumption data M of an electric meter of the user side in an electric meter reading and reporting period T;
wherein X q Representing power usage monitoring data for the qth minute; q represents the number of minutes corresponding to the reading and reporting period T of the electric meter;
and if D2> D1, determining that the user side of the branch line is a suspicious line loss user, and if D2< ═ D1, determining that no line loss exists, wherein D1 represents a preset allowable line loss deviation threshold value.
6. The method of claim 5, wherein the calculating a current trend from meter reading data and customer side line monitoring data and determining a current trend count from the customer side line current trend and the meter current trend comprises:
acquiring a line current value acquired according to a preset sampling period t, and determining a line current trend of a user side according to the line current value change of adjacent sampling periods; if the line current value change of the ith sampling period is more than 0, the line current trend K of the user side i 1, if the line current value change of the ith sampling period is less than 0, the line current trend K of the user side i ＝0，
Acquiring the ammeter current value of each sampling period t, and determining the ammeter current trend at the user side according to the ammeter current value change of the adjacent sampling periods; if the change of the ammeter current value of the ith sampling period is more than 0, the user side ammeter current trend K i If the change of the ammeter current value of the ith sampling period is less than 0, the user-side ammeter current trend K is determined i ＝0；
Setting a current trend count C and initializing C to be 0;
when the current trend F of the user side ammeter in the ith sampling period i And the current trend K of the subscriber side line i When the current trend is inconsistent with the current trend of the line of the user side, the current trend count C is linked with the current trend count C to accumulate and update the count from the ith sampling period, namely from the ith sampling period, the current trend of the ammeter of the user side is continuously inconsistent with the current trend of the line of the user sideAdding 1;
and when the current trend count reaches a preset continuous opposite trend threshold value W, judging the user side as a suspicious line loss user.
7. The method of claim 6, wherein the current trend count is determined from a user side line current trend and an electric meter current trend, wherein:
and when the current trend of the user-side ammeter in a certain sampling period is consistent with the current trend of the user-side line, resetting the current trend count C, and juxtaposing C as 0.
8. The on-line monitoring method for the low-voltage line loss of the low-voltage distribution network according to claim 5, wherein the value of the electric meter reading and reporting period T is 15min, and q is set to 15.
9. The utility model provides an on-line monitoring system of low pressure distribution network low pressure line loss which characterized in that includes:
one or more processors;
a memory storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations comprising a flow of the method of online monitoring of low voltage line loss of a low voltage power distribution network as claimed in any one of claims 1 to 8.
10. A computer-readable medium storing software, the software comprising instructions executable by one or more processors, the instructions causing the one or more processors to perform operations by such execution, the operations comprising a flow of the online monitoring method of low voltage line loss of a low voltage distribution network of any of claims 1-8.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117434440A (en) * | 2023-12-20 | 2024-01-23 | 浙江万胜智能科技股份有限公司 | Automatic detection method and system for measuring switch |
| CN117434440B (en) * | 2023-12-20 | 2024-05-07 | 浙江万胜智能科技股份有限公司 | Automatic detection method and system for measuring switch |
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