A method for analyzing line loss

Abstract

A kind of line loss analytical method, via the starting measurement group generated by the several class log measurement values of power grid line and present actual measurement value together, performs grouping analysis, obtains power grid line attribute graph;Then according to the process change position on power grid line attribute graph, performs power grid line process cutting, carries out running direction identification to each process fitting line, to obtain the present usefulness of power grid line;The usefulness determination method constructed according to the measurement value of power grid line can truly, accurately and reasonably identify the usefulness of power grid line, so as to improve the function and accuracy of power grid line usefulness determination, meet the requirements of modern power grid for power grid line detection.

Description

Technical Field

[0001] This invention belongs to the field of line loss technology, and specifically relates to a method for analyzing line loss. Background Technology

[0002] Power grid line usefulness determination is a way to express the smooth function of power transmission throughout the entire power grid line and to centrally identify the power transmission status of the power grid line. The function of power grid lines gradually becomes useless as the operating time increases. Efficient determination and pre-determination of the usefulness of power grid lines play a key role in the prevention and control of anomalies and the improvement of power grid line safety.

[0003] The commonly used method for determining the usefulness of power grid lines is based on the technicians' understanding of the measured values. The key is to determine the usefulness of the power grid line by identifying its function, such as the line loss rate, and then determine the importance of the measured values ​​to the usefulness of the power grid line. The usefulness determination is then derived by deduction. However, this method is subject to the arbitrariness and limitations of the technicians' understanding of the measured values, resulting in significant measurement bias and failing to meet the current maintenance requirements of power grid lines.

[0004] How to efficiently and accurately perform power grid line usefulness testing has become an urgent goal in the field of power grid line usefulness detection. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention proposes a method for analyzing line loss.

[0006] The present invention adopts the following technical solution.

[0007] A method for analyzing line loss, comprising:

[0008] Step 1: Obtain the power grid line attribute map based on the initial measurement values ​​of the target power grid line;

[0009] Step 2: Obtain the location of process changes on the power grid line attribute map;

[0010] Step 3: Based on the overall process change location, obtain the fitting lines for each process in the power grid line attribute diagram;

[0011] Step 4: Perform operational trend determination on each process fitting line to obtain the current usefulness of the target power grid line.

[0012] Preferably, obtaining the power grid line attribute map based on the initial measurement value group of the target power grid line includes:

[0013] Step 1-1: Based on the initial measurement values ​​of the target power grid line, select A initial group midpoints;

[0014] Step 1-2: Based on the midpoints of the A initial groups, divide the initial measurement value group into A initial measurement value groups;

[0015] Steps 1-3: Perform cyclic grouping on the A initial measurement value groups according to the target model to obtain A target message groups;

[0016] Steps 1-4: Arrange the measured values ​​in the A target message groups according to the order of time points to obtain the power grid line attribute map.

[0017] Preferably, the initial measurement value group includes several types of log measurement values ​​and several types of actual measurement values;

[0018] The initial measurement value group contains b measurement value objects, that is, C = [C1, C2, C3...Cb]. Each measurement value object here is a d-type measurement value, that is, C1 = [c1, c2, c3...cd]. Here, c1, c2...cd represent different types of measurement values ​​such as line loss rate, heat value and humidity value collected at a certain point in time. C1, C2, C3...Cb represent measurement value groups collected at different points in time, including log measurement values ​​and actual measurement values. A measurement value objects are arbitrarily selected from the initial measurement value group as the starting group midpoint, that is, E = [E1, E2...EA].

[0019] Preferably, the cut measurement value group is represented by F, F = [fl, l = 1, 2...A], that is, the b measurement value objects in the initial measurement value group are cut into A measurement value groups, and each cut group can be represented by fl, and each group contains a midpoint hp; the dispersion I(hp) of the measurement value objects in each group fl to the midpoint hp of the group is derived by the following equation:

[0020]

[0021] Preferably, the midpoints and groups are re-identified based on the target model until the dispersion of each measured object from the corresponding group midpoint is minimized, thereby identifying the optimal group midpoint. The target model is represented by the following equation:

[0022]

[0023] Here, if j l ∈fl, at this time s pl If it is one; otherwise, s pl It is zero.

[0024] Preferably, the measured values ​​within the A target message groups are arranged according to their time sequence to obtain the power grid line attribute map. This includes: determining whether each target message group meets the process segmentation criteria based on its start and end times and the number of measured values; if all target message groups meet the process segmentation criteria, the measured values ​​within the A target message groups are arranged according to their time sequence to obtain the power grid line attribute map. Preferably, the criteria for determining whether each target message group meets the process segmentation criteria are shown in the following equation:

[0025]

[0026] Here, R1 and R2 are the start and end times of the grouped measurement objects, respectively, R is the number of grouped measurement objects, and R3 is the set threshold.

[0027] Preferably, when there is a target message group within the A target message groups that does not meet the process segmentation specification, a newly collected measurement value group C is added. 1 This set of measurements is constructed from an actual measurement, that is... The midpoint of the group that was not maintained is arbitrarily selected from the newly collected measurements, and cyclic grouping is performed until the midpoint of the optimal group is found.

[0028] Preferably, obtaining the process change position on the power grid line attribute map includes: using each measured value object on the power grid line attribute map as a pre-set process change position, obtaining the subtraction of the two process derivative values ​​and the subtraction of the two process attribute values ​​corresponding to each pre-set process change position; if the subtraction of the current two process derivative values ​​corresponding to the current pre-set process change position is higher than a pre-set value one, and the subtraction of the two process attribute values ​​corresponding to the current pre-set process change position is higher than a pre-set value two, then the current pre-set process change position is taken as the process change position on the power grid line attribute map.

[0029] Preferably, when the power grid line attribute diagram has no process change position, the power grid line attribute diagram is used as a process fitting line; when the power grid line attribute diagram includes a process change position, the fitting line between the starting position and the process change position of the power grid line attribute diagram is used as process fitting line one, and the fitting line between the process change position and the ending position of the power grid line attribute diagram is used as process fitting line two; when the power grid line attribute diagram includes two process change positions, the fitting line between the starting position and the first process change position of the power grid line attribute diagram is used as process fitting line one, the fitting line between the first process change position and the second process change position is used as process fitting line two, and the fitting line between the second process change position and the ending position of the power grid line attribute diagram is used as process fitting line three.

[0030] Preferably, performing operational trend determination on each process fitting line to obtain the current usefulness of the target power grid line includes: obtaining a subtraction of the attribute quantity at the end position and the attribute quantity at the start position of each process fitting line; obtaining a subtraction of the time point at the end position and the time point at the start position of each process fitting line; and obtaining the current usefulness of the target power grid line based on the quotient of the subtraction of the first subtraction and the second subtraction.

[0031] Preferably, the method for determining the current usefulness of the target power grid line by performing operational trend determination on the fitted lines of each process is illustrated by the following equation:

[0032] XQ = |(Z1-Z2) / (H1-H2)|

[0033] Here, XQ is the operational trend identification factor, Z1 is the attribute quantity at the end position of the process fitting line; Z2S is the data attribute quantity at the start position of the process fitting line; H1 is the time point at which the process fitting line terminates; H2 is the time point at which the process fitting line begins; if the operational trend identification factor tends to 0, the current usefulness of the current measurement of the power grid line is in an effective state; if the operational trend identification factor is constant, the current usefulness of the current measurement of the power grid line is in an aging state; if the current operational trend identification factor changes abruptly compared to the previous operational trend identification factor, the current usefulness of the current measurement of the power grid line is in a useless state.

[0034] A line loss analysis device, comprising:

[0035] The selection module is used to select A initial group midpoints based on the initial measurement values ​​of the target power grid line;

[0036] Module 1 is used to obtain the location of process changes on the power grid line attribute map;

[0037] The fitting module is used to obtain the fitting lines for each process in the power grid line attribute diagram based on the position of all process changes.

[0038] Module 2 is used to perform operational trend determination on the fitting lines of each process to obtain the current usefulness of the target power grid line.

[0039] Preferably, the selection module is further configured to: select A initial group midpoints based on the initial measurement value group of the target power grid line; divide the initial measurement value group into A initial measurement value groups based on the A initial group midpoints; perform cyclic grouping on the A initial measurement value groups according to the target model to obtain A target message groups; and arrange the measurement value objects in the A target message groups according to the time sequence to obtain the power grid line attribute map.

[0040] Preferably, the first acquisition module is further configured to acquire the process change position on the power grid line attribute diagram, including: using each measured value object on the power grid line attribute diagram as a pre-set process change position, acquiring the subtraction of the two process derivative values ​​and the subtraction of the two process attribute values ​​corresponding to each pre-set process change position; if the subtraction of the current two process derivative values ​​corresponding to the current pre-set process change position is higher than a pre-set value one, and the subtraction of the two process attribute values ​​corresponding to the current pre-set process change position is higher than a pre-set value two, then the current pre-set process change position is taken as the process change position on the power grid line attribute diagram.

[0041] Preferably, the fitting module is further configured to: when the power grid line attribute map has no process change position, treat the power grid line attribute map as a process fitting line; when the power grid line attribute map includes a process change position, treat the fitting line between the starting position and the process change position of the power grid line attribute map as process fitting line one, and the fitting line between the process change position and the ending position of the power grid line attribute map as process fitting line two; when the power grid line attribute map includes two process change positions, treat the fitting line between the starting position and the first process change position of the power grid line attribute map as process fitting line one, the fitting line between the first process change position and the second process change position as process fitting line two, and the fitting line between the second process change position and the ending position of the power grid line attribute map as process fitting line three.

[0042] Preferably, the second acquisition module is further configured to acquire the difference between the attribute quantity at the end position and the attribute quantity at the start position of each process fitting line; acquire the difference between the time point at the end position and the time point at the start position of each process fitting line; and acquire the current usefulness of the target power grid line based on the quotient of the difference between ...

[0043] A terminal, comprising a processor and a storage medium;

[0044] The storage medium is used to store instructions;

[0045] The processor is configured to perform operations according to the instructions to execute the steps of the line loss analysis method.

[0046] A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the method for analyzing line loss.

[0047] The beneficial effects of this invention are that, compared with the prior art, the line loss analysis method of this invention performs group analysis on a group of initial measurement values ​​generated by several types of log measurement values ​​and current actual measurement values ​​of the power grid line to obtain a power grid line attribute map; then, based on the process change position on the power grid line attribute map, the power grid line process is segmented, and the running trend is determined for each process fitting line, thereby obtaining the current usefulness of the power grid line; the usefulness determination method constructed by this invention based on the power grid line measurement values ​​can truly, accurately and reasonably determine the usefulness of the power grid line, thereby improving the function and accuracy of power grid line usefulness determination and meeting the requirements of modern power grid for power grid line detection. Attached Figure Description

[0048] Figure 1 This is an overall flowchart of steps 1 to 4 in this invention;

[0049] Figure 2 This is a module structure diagram of the line loss analysis device described in this invention. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, other embodiments obtained by those skilled in the art without creative effort are all within the protection scope of this invention.

[0051] like Figure 1 As shown, the present invention provides a method for analyzing line loss, comprising:

[0052] Step 1: Obtain the power grid line attribute map based on the initial measurement value group of the target power grid line; the target power grid line is the power grid line for which the usefulness determination will be performed. The line loss analysis method runs on an analysis terminal such as a PC or industrial control computer.

[0053] In a preferred but non-limiting embodiment of the present invention, obtaining the power grid line attribute map based on the initial measurement value group of the target power grid line includes:

[0054] Step 1-1: Based on the initial measurement value group of the target power grid line, select A initial group midpoints; A is a positive integer.

[0055] In a preferred but non-limiting embodiment of the present invention, the initial measurement value group includes several types of log measurement values ​​and several types of actual measurement values. Here, the several types of actual measurement values ​​include different categories of measurement values ​​such as line loss rate, heat value, and humidity value of the target power grid line collected at different times in the present. The log measurement values ​​include different categories of measurement values ​​such as line loss rate, heat value, and humidity value of the target power grid line collected at different times in the past. The line loss rate, heat value, and humidity value are collected and transmitted to the analysis terminal via a line loss measuring instrument, a heat sensor, and a humidity sensor that are respectively connected to the analysis terminal for communication.

[0056] The initial measurement value group contains b measurement value objects, where b is a positive integer, i.e., C = [C1, C2, C3...Cb]. Each measurement value object here is a d-type measurement value, where d is a positive integer, i.e., C1 = [c1, c2, c3...cd]. Here, c1, c2...cd represent different types of measurement values ​​such as line loss rate, heat value, and humidity value collected at a certain point in time. C1, C2, C3...Cb represent measurement value groups collected at different points in time, including log measurement values ​​and actual measurement values. Within the initial measurement value group, A measurement value objects are arbitrarily selected as the starting group midpoint, i.e., E = [E1, E2...EA].

[0057] Step 1-2: Based on the midpoints of the A initial groups, divide the initial measurement value group into A initial measurement value groups;

[0058] Furthermore, based on the midpoints of the A initial groups, the objects of each measurement value within the initial measurement value group are grouped and segmented according to the size of the interval dispersion as the dispersion measure.

[0059] In a preferred but non-limiting embodiment of the present invention, the cut measurement value group is represented by F, where F = [fl, l = 1, 2...A], that is, the b measurement value objects in the initial measurement value group are cut into A measurement value groups. Each cut group can be represented by fl, and each group contains a midpoint hp. The common derivation method generally chooses the size of the interval dispersion as the dispersion measure. The dispersion I(hA) of the measurement value objects in each group fl to the midpoint hp of the group can be derived by the following equation:

[0060]

[0061] Steps 1-3: Perform cyclic grouping on the A initial measurement value groups according to the target model to obtain A target message groups;

[0062] In a preferred but non-limiting embodiment of the present invention, the midpoints and groups are re-identified based on the target model until the dispersion of each measured object from the corresponding group midpoint is minimized, thereby identifying the optimal group midpoint. The target model is represented by the following equation:

[0063]

[0064] Here, if j l ∈fl, at this time s pl If it is one; otherwise, s pl The value is zero. The midpoint hp of each group is the mean of all measured objects in each group; I(F) represents the total dispersion of each measured object in the group to its midpoint. To make the grouping of the cut most accurate, the sum of the dispersion of each measured object in the group to its midpoint should be the lowest, that is, the objective model such as I(F) should be optimal.

[0065] On the other hand, the class represents the abnormal independent variable. Since different power grid lines have different abnormal independent variables, the dispersion is derived accordingly. The representatives proceeded from the first group to the last group. Representing the total dispersion within a group, it is equivalent to If j l ∈fl, that is, the measured object of l belongs to group l, then s pl If it is one; otherwise, that is, the measured object does not belong to group l, s pl If the value is zero, then there is no need to derive the dispersion of the measured object to the midpoint of the group.

[0066] Steps 1-4: Arrange the measured values ​​in the A target message groups according to the order of time points to obtain the power grid line attribute map.

[0067] In a preferred but non-limiting embodiment of the present invention, the measured values ​​within the A target message groups are arranged according to their time sequence to obtain the power grid line attribute map. This includes: determining whether each target message group meets the process segmentation criteria based on the start time, end time, and number of measured values ​​within each target message group; if all target message groups meet the process segmentation criteria, the measured values ​​within the A target message groups are arranged according to their time sequence to obtain the power grid line attribute map. The horizontal axis of each point in the power grid line attribute map represents the time point, and the vertical axis represents the measured value corresponding to that time point. The fitted line formed by fitting the points is the power grid line attribute map.

[0068] Furthermore, the grouped measurement values ​​retain their grouped content and are arranged in chronological order. It is determined whether each destination message group meets the process segmentation specification. If it does, the midpoint of the group is maintained, and a new midpoint is added synchronously to find the next process. In a preferred but non-limiting embodiment of the present invention, the criterion for determining whether each destination message group meets the process segmentation specification is shown in the following equation:

[0069]

[0070] Here, R1 and R2 are the start and end times of the grouped measurement objects, respectively, R is the number of grouped measurement objects, and R3 is the set threshold.

[0071] Since the determination of whether process segmentation is satisfied is based on whether the number of groups significantly generates the process, the group only needs to have a concentration, that is, the number of group measurement objects (group measurement objects are the measurement objects within the group) between the start and end points of the group is greater than R3, to mean that the group satisfies process segmentation; the setting of R3 is determined by the number of all measurement objects; when Q is one, it means that the current target message group satisfies process segmentation, and when Q is zero, it means that the current target message group does not satisfy the process segmentation specification.

[0072] In a preferred but non-limiting embodiment of the present invention, when there is a target message group that does not meet the process segmentation specification within the A target message groups, a newly collected measurement value group C is added. 1 This set of measurements is constructed from an actual measurement, that is... The midpoint of the group that was not maintained is arbitrarily selected from the newly collected measurements, and cyclic grouping is performed until the midpoint of the optimal group is found.

[0073] Step 2: Obtain the location of process changes on the power grid line attribute map;

[0074] In a preferred but non-limiting embodiment of the present invention, obtaining the process change position on the power grid line attribute diagram includes: using each measured value object on the power grid line attribute diagram as a pre-set process change position, obtaining the subtraction of the two process derivative values ​​and the subtraction of the two process attribute values ​​corresponding to each pre-set process change position; if the subtraction of the current two process derivative values ​​corresponding to the current pre-set process change position is higher than a pre-set quantity one, and the subtraction of the two process attribute values ​​corresponding to the current pre-set process change position is higher than a pre-set quantity two, then the current pre-set process change position is taken as the process change position on the power grid line attribute diagram. The two process derivative values ​​are the two derivative values ​​of the fitting line of the two processes fitted relative to both sides of the process change position at that position. The two process derivative values ​​of the two process attribute values ​​are the points where the fitting lines of the two processes fitted relative to both sides of the process change position intersect the X-axis. In the present invention, the subtraction is always a larger number minus a smaller number. The pre-set quantity one and the pre-set quantity two are both positive numbers.

[0075] Furthermore, the process change position is the point where the process changes direction after going through several different processes. By identifying this position, the process can be divided into two different processes.

[0076] Step 3: Based on the overall process change location, obtain the fitting lines for each process in the power grid line attribute diagram;

[0077] In a preferred but non-limiting embodiment of the present invention, when the power grid line attribute diagram has no process change position, the power grid line attribute diagram is regarded as a process fitting line; when the power grid line attribute diagram includes a process change position, the fitting line between the starting position and the process change position of the power grid line attribute diagram is regarded as process fitting line one, and the fitting line between the process change position and the ending position of the power grid line attribute diagram is regarded as process fitting line two; when the power grid line attribute diagram includes two process change positions, the fitting line between the starting position and the first process change position of the power grid line attribute diagram is regarded as process fitting line one, the fitting line between the first process change position and the second process change position is regarded as process fitting line two, and the fitting line between the second process change position and the ending position of the power grid line attribute diagram is regarded as process fitting line three.

[0078] Step 4: Perform operational trend determination on each process fitting line to obtain the current usefulness of the target power grid line.

[0079] In a preferred but non-limiting embodiment of the present invention, performing operational trend determination on each process fitting line to obtain the current usefulness of the target power grid line includes: obtaining a subtraction of the attribute quantity at the end position and the attribute quantity at the start position of each process fitting line; obtaining a subtraction of the time point at the end position and the time point at the start position of each process fitting line; and obtaining the current usefulness of the target power grid line based on the quotient of the subtraction of the first subtraction and the second subtraction.

[0080] Furthermore, the attribute diagrams of power grid lines will differ depending on their specifications, operating conditions, and power supply conditions; however, the overall operating cycle remains consistent. Based on the lifespan of the power grid line, its operating cycle is divided into three periods: effective state, aging state, and useless state. Different operating cycles result in different characteristics on the attribute diagrams, which is a key basis for identifying different operating cycles. The attribute diagrams of power grid lines show either an upward or downward trend; different processes exhibit different trends in the fitted lines, corresponding to different rates of aging of the power grid line. Therefore, in a preferred but non-limiting embodiment of the present invention, the method for determining the current usefulness of the target power grid line by performing operational trend determination on the fitted lines of each process is illustrated by the following equation:

[0081] XQ = |(Z1-Z2) / (H1-H2)|

[0082] Here, XQ is the operational trend determination factor; Z1 is the attribute quantity at the end position of the process fitting line; Z2S is the data attribute quantity at the start position of the process fitting line; H1 is the termination point of the process fitting line; H2 is the start point of the process fitting line. If the operational trend determination factor tends to 0 (the determination of tending to 0 can be set with a quantity such as 0.0001 to compare with XQ; if XQ is lower than 0.0001, it means it is tending to 0), it means that the power grid line's operational trend is reliable, and the current measurement of the power grid line's current usefulness is in an effective state. When the operational trend determination factor is constant, the current measurement of the power grid line's current usefulness is in an aging state. If the current operational trend determination factor changes abruptly compared to the previous operational trend determination factor, the current measurement of the power grid line's current usefulness is in a useless state. An effective state means the power grid line is operating effectively, an aging state means the power grid line is aging, and a useless state means the power grid line can no longer operate.

[0083] This method for determining the usefulness of power grid lines involves grouping and analyzing a group of initial measurement values ​​generated from several types of log measurements and current actual measurements of the power grid lines to obtain a power grid line attribute map. Then, based on the process change locations on the power grid line attribute map, the power grid line process is segmented, and the operational trend of each process fitting line is determined, thereby obtaining the current usefulness of the power grid line. This invention, based on power grid line measurement values, provides a usefulness determination method that can accurately and reasonably determine the usefulness of power grid lines, thus improving the functionality and accuracy of power grid line usefulness determination and meeting the requirements of modern power grids for power grid line detection.

[0084] like Figure 2 As shown, the present invention provides a line loss analysis device, comprising:

[0085] The selection module is used to select A initial group midpoints based on the initial measurement values ​​of the target power grid line;

[0086] Module 1 is used to obtain the location of process changes on the power grid line attribute map;

[0087] The fitting module is used to obtain the fitting lines for each process in the power grid line attribute diagram based on the position of all process changes.

[0088] Module 2 is used to perform operational trend determination on the fitting lines of each process to obtain the current usefulness of the target power grid line.

[0089] In a preferred but non-limiting embodiment of the present invention, the selection module is further configured to: select A initial group midpoints based on the initial measurement value group of the target power grid line; divide the initial measurement value group into A initial measurement value groups based on the A initial group midpoints; perform cyclic grouping on the A initial measurement value groups according to the target model to obtain A target message groups; and arrange the measurement value objects in the A target message groups according to the time sequence to obtain the power grid line attribute map.

[0090] In a preferred but non-limiting embodiment of the present invention, the first acquisition module is further configured to acquire the process change position on the power grid line attribute diagram, including: using each measured value object on the power grid line attribute diagram as a pre-set process change position, acquiring the subtraction of the two process derivative values ​​and the subtraction of the two process attribute values ​​corresponding to each pre-set process change position; if the subtraction of the current two process derivative values ​​corresponding to the current pre-set process change position is higher than a pre-set value one, and the subtraction of the two process attribute values ​​corresponding to the current pre-set process change position is higher than a pre-set value two, then the current pre-set process change position is taken as the process change position on the power grid line attribute diagram.

[0091] In a preferred but non-limiting embodiment of the present invention, the fitting module is further configured to: when the power grid line attribute diagram has no process change position, treat the power grid line attribute diagram as a process fitting line; when the power grid line attribute diagram includes a process change position, treat the fitting line between the starting position and the process change position of the power grid line attribute diagram as process fitting line one, and the fitting line between the process change position and the ending position of the power grid line attribute diagram as process fitting line two; when the power grid line attribute diagram includes two process change positions, treat the fitting line between the starting position and the first process change position of the power grid line attribute diagram as process fitting line one, the fitting line between the first process change position and the second process change position as process fitting line two, and the fitting line between the second process change position and the ending position of the power grid line attribute diagram as process fitting line three.

[0092] In a preferred but non-limiting embodiment of the present invention, the second acquisition module is further configured to acquire the difference between the attribute quantity at the end position and the attribute quantity at the start position of each process fitting line; acquire the difference between the time point at the end position and the time point at the start position of each process fitting line; and acquire the current usefulness of the target power grid line based on the quotient of the difference between the difference and the difference.

[0093] The present invention provides a terminal, including a processor and a storage medium;

[0094] The storage medium is used to store instructions;

[0095] The processor is configured to perform operations according to the instructions to execute the steps of the line loss analysis method.

[0096] The present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the line loss analysis method.

[0097] The beneficial effects of this invention are that, compared with the prior art, the line loss analysis method of this invention performs group analysis on a group of initial measurement values ​​generated by several types of log measurement values ​​and current actual measurement values ​​of the power grid line to obtain a power grid line attribute map; then, based on the process change position on the power grid line attribute map, the power grid line process is segmented, and the running trend is determined for each process fitting line, thereby obtaining the current usefulness of the power grid line; the usefulness determination method constructed by this invention based on the power grid line measurement values ​​can truly, accurately and reasonably determine the usefulness of the power grid line, thereby improving the function and accuracy of power grid line usefulness determination and meeting the requirements of modern power grid for power grid line detection.

[0098] This disclosure can be a system, method, and / or computer program product. A computer program product can include a computer-readable storage medium having computer-readable program instructions stored thereon for causing a processor to implement various aspects of this disclosure.

[0099] A computer-readable storage medium can be a tangible electrical circuit capable of holding and storing instructions executed by an electrical circuit. A computer-readable storage medium can be, for example, but not limited to, electrical storage circuits, magnetic storage circuits, optical storage circuits, electromagnetic storage circuits, semiconductor storage circuits, or any suitable combination thereof. Further examples of computer-readable storage media (a non-exhaustive list) include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanically encoded electrical circuits, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination thereof. The computer-readable storage medium used herein is not to be construed as a transient signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0100] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing power lines, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage power line. The network can include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. Network adapter cards or network interfaces in each computing / processing power line receive the computer-readable program instructions from the network and forward them to the computer-readable storage media in each computing / processing power line.

[0101] The computer program instructions used to perform the operations of this disclosure can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, scenario setup data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Standard A, C++, etc., and conventional procedural programming languages ​​such as "C" or similar languages. The computer-readable program instructions can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAb) or a wide area network (WAb)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuits, such as programmable logic circuits, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), are personalized by utilizing status information from computer-readable program instructions, which can execute computer-readable program instructions to implement various aspects of this disclosure.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific embodiments of the present invention without departing from the spirit and scope of the present invention. Any modifications or equivalent substitutions should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for analyzing line loss, characterized in that, include: Step 1: Obtain the power grid line attribute map based on the initial measurement values ​​of the target power grid line; Step 2: Obtain the location of process changes on the power grid line attribute map; Step 3: Based on the overall process change location, obtain the fitting lines for each process in the power grid line attribute diagram; Step 4: Perform operational trend determination on each process fitting line to obtain the current usefulness of the target power grid line; The process of obtaining a power grid line attribute map based on the initial measurement value group of the target power grid line includes: Step 1-1: Based on the initial measurement values ​​of the target power grid line, select A initial group midpoints; Step 1-2: Based on the midpoints of the A initial groups, divide the initial measurement value group into A initial measurement value groups; Steps 1-3: Perform cyclic grouping on the A initial measurement value groups according to the target model to obtain A target message groups; Steps 1-4: Arrange the measured values ​​in the A target message groups according to the order of time points to obtain the power grid line attribute map.

2. The method for analyzing line loss according to claim 1, characterized in that, The initial measurement value group includes several types of log measurement values ​​and several types of actual measurement values; The initial measurement value group contains b measurement value objects, that is, C=[C1, C2, C3...Cb]. Each measurement value object here is a d-type measurement value, that is, C1=[c1, c2, c3...cd]. Here, c1, c2...cd represent different types of measurement values ​​such as line loss rate, heat value and humidity value collected at a certain point in time. C1, C2, C3...Cb represent measurement value groups collected at different points in time, including log measurement values ​​and actual measurement values. A measurement value objects are arbitrarily selected from the initial measurement value group as the starting group midpoint, that is, E=[E1, E2...EA].

3. The method for analyzing line loss according to claim 2, characterized in that, The cut measurement value group is represented by F, F=[fl, l=1, 2...A], which means cutting the b measurement value objects in the initial measurement value group into A measurement value groups. Each cut group can be represented by fl, and each group contains a midpoint hp. The dispersion I(hp) of the measurement value objects in each group fl to the midpoint hp is derived by the following equation: I(hp)= 。 4. The method for analyzing line loss according to claim 3, characterized in that, Based on the objective model, the midpoints and groups are re-identified until the dispersion of each measured object from the corresponding group midpoint is minimized, thereby determining the optimal group midpoint. The objective model is represented by the following equation: I(F)= = = Here, if At this time One; otherwise, It is zero.

5. The method for analyzing line loss according to claim 3, characterized in that, The measurement objects within the A target message groups are arranged according to their time sequence to obtain the power grid line attribute map. This includes: determining whether each target message group meets the process cutting specifications based on the start time, end time, and number of measurement objects within each target message group; if each target message group meets the process cutting specifications, the measurement objects within the A target message groups are arranged according to their time sequence to obtain the power grid line attribute map.

6. The method for analyzing line loss according to claim 4, characterized in that, The criteria for determining whether each destination message group meets the process segmentation specification are shown in the following equation: Q= Here, R1 and R2 are the start and end times of the grouped measurement objects, respectively, R is the number of grouped measurement objects, and R3 is the set threshold.

7. The method for analyzing line loss according to claim 6, characterized in that, When there is a destination message group within the A destination message groups that does not meet the process segmentation specifications, collect the newly collected measurement value group and add measurement value group C. 1 This set of measurements is constructed from an actual measurement, namely C. 1 =[ The midpoint of the group that was not maintained can be arbitrarily selected from the newly collected measurements, and cyclic grouping is performed until the midpoint of the optimal group is found.

8. The method for analyzing line loss according to claim 6, characterized in that, Obtaining the process change position on the power grid line attribute map includes: using each measured value object on the power grid line attribute map as a pre-set process change position, obtaining the subtraction of the two process derivative values ​​and the subtraction of the two process attribute values ​​corresponding to each pre-set process change position; if the subtraction of the current two process derivative values ​​corresponding to the current pre-set process change position is higher than a pre-set value one, and the subtraction of the two process attribute values ​​corresponding to the current pre-set process change position is higher than a pre-set value two, then the current pre-set process change position is taken as the process change position on the power grid line attribute map.

9. The method for analyzing line loss according to claim 6, characterized in that, When the power grid line attribute diagram has no process change position, the power grid line attribute diagram is regarded as a process fitting line; when the power grid line attribute diagram includes a process change position, the fitting line between the starting position and the process change position of the power grid line attribute diagram is regarded as process fitting line one, and the fitting line between the process change position and the ending position of the power grid line attribute diagram is regarded as process fitting line two; when the power grid line attribute diagram includes two process change positions, the fitting line between the starting position and the first process change position of the power grid line attribute diagram is regarded as process fitting line one, the fitting line between the first process change position and the second process change position is regarded as process fitting line two, and the fitting line between the second process change position and the ending position of the power grid line attribute diagram is regarded as process fitting line three.

10. The method for analyzing line loss according to claim 9, characterized in that, Performing operational trend determination on each process fitting line to obtain the current usefulness of the target power grid line includes: obtaining a subtraction of the attribute quantity at the end position and the attribute quantity at the start position of each process fitting line; obtaining a subtraction of the time point at the end position and the time point at the start position of each process fitting line; and obtaining the current usefulness of the target power grid line based on the quotient of the subtraction of the first subtraction and the second subtraction.

11. The method for analyzing line loss according to claim 9, characterized in that, The method for determining the current usefulness of the target power grid line by performing operational trend determination on the fitted lines of each process is illustrated by the following equation: XQ= Here, XQ is the dynamic determination factor, Z1 is the attribute quantity at the end position of the process fitting line; Z2 is the data attribute quantity at the start position of the process fitting line; H1 is the time point at which the process fitting line ends; H2 is the time point at which the process fitting line begins. If the operational trend identification factor tends to 0, the current usefulness of the current measurement of the power grid line is in an effective state; if the operational trend identification factor is constant, the current usefulness of the current measurement of the power grid line is in an aging state; if the current operational trend identification factor changes abruptly compared to the previous operational trend identification factor, the current usefulness of the current measurement of the power grid line is in a useless state.

12. A line loss analysis device, characterized in that, include: The selection module is used to select A initial group midpoints based on the initial measurement values ​​of the target power grid line; Module 1 is used to obtain the location of process changes on the power grid line attribute map; The fitting module is used to obtain the fitting lines for each process in the power grid line attribute diagram based on the position of all process changes. Module 2 is used to perform operational trend determination on the fitting lines of each process to obtain the current usefulness of the target power grid line; The selection module is further configured to select A initial group midpoints based on the initial measurement value group of the target power grid line; to divide the initial measurement value group into A initial measurement value groups based on the A initial group midpoints; and to perform cyclic grouping on the A initial measurement value groups according to the target model to obtain A target message groups. This is used to arrange the various measurement objects in the A target message groups according to the order of time points, and obtain the power grid line attribute map.

13. The line loss analysis apparatus according to claim 12, characterized in that, The first acquisition module is further used to acquire the process change position on the power grid line attribute diagram, including: using each measured value object on the power grid line attribute diagram as a pre-set process change position, acquiring the subtraction of the two process derivative values ​​and the subtraction of the two process attribute values ​​corresponding to each pre-set process change position; if the subtraction of the current two process derivative values ​​corresponding to the current pre-set process change position is higher than a pre-set value one, and the subtraction of the two process attribute values ​​corresponding to the current pre-set process change position is higher than a pre-set value two, then the current pre-set process change position is taken as the process change position on the power grid line attribute diagram.

14. The line loss analysis apparatus according to claim 12, characterized in that, The fitting module is further configured to: when the power grid line attribute map has no process change position, treat the power grid line attribute map as a process fitting line; when the power grid line attribute map includes a process change position, treat the fitting line between the starting position and the process change position of the power grid line attribute map as process fitting line one, and the fitting line between the process change position and the ending position of the power grid line attribute map as process fitting line two; when the power grid line attribute map includes two process change positions, treat the fitting line between the starting position and the first process change position of the power grid line attribute map as process fitting line one, the fitting line between the first process change position and the second process change position as process fitting line two, and the fitting line between the second process change position and the ending position of the power grid line attribute map as process fitting line three.

15. The line loss analysis apparatus according to claim 12, characterized in that, The second acquisition module is also used to acquire the difference between the attribute quantity at the end position and the attribute quantity at the start position of each process fitting line; to acquire the difference between the time point at the end position and the time point at the start position of each process fitting line; and to acquire the current usefulness of the target power grid line based on the quotient of the difference between ...

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