CN116633017B - Load monitoring and early warning method and system for branch lines of distribution transformer area - Google Patents
Load monitoring and early warning method and system for branch lines of distribution transformer area Download PDFInfo
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Abstract
The invention discloses a load monitoring and early warning method and a system for branch lines of a distribution area, and relates to the technical field of operation and maintenance of low-voltage distribution networks; calculating an inter-phase unbalance value based on load operation data, and comparing the inter-phase unbalance value with a preset unbalance threshold value to obtain the deviation degree of the inter-phase unbalance value; grading according to the deviation degree, and marking the early warning characteristic of the branch line in a first period; carrying out relevance analysis on early warning characteristics of all branch lines to obtain an early warning trend chart; determining a load-adjusted commutation priority sequence based on the early warning trend graph; the system is a virtual device of the method. The early warning method and the early warning system can reflect the degree of three-phase unbalance to the early warning trend graph, and can schedule personnel according to the early warning trend graph, so that higher scheduling optimality is achieved.
Description
Technical Field
The invention relates to the technical field of operation and maintenance of low-voltage distribution networks, in particular to a load monitoring and early warning method and system for branch lines of a distribution area.
Background
The low-voltage distribution network in China supplies power to users through a 10kV/0.4kV transformer in a three-phase four-wire system, and is a power supply network for mixing three-phase production power and single-phase load power. Because the low-voltage distribution network in China has wide coverage area, different running environments, numerous and scattered power users and a large amount of single-phase loads with unbalanced space-time distribution, the power utilization habit difference of residents and the high randomness of the loads can cause the overstandard branch loads and the unbalanced three-phase loads, namely the power utilization loads cannot be uniformly distributed on each phase, and the power utilization system is a main cause for the generation of the unbalanced three-phase problems.
In the prior art, one of the solutions to the problem of three-phase unbalance is to manually adjust the load phase sequence, namely, to manually adjust the load of A, B, C three phases on a line to achieve three-phase load balance, and the balance is to judge whether the balance is achieved or not approximately according to the three-phase current at the outlet side of the power distribution cabinet. Because domestic and civil electric loads are affected by seasons, time points and other factors, the load amounts of all users are inconsistent and the electricity utilization time is inconsistent in actual life, and the manual commutation link needs to collect data frequently and calculate repeatedly. At present, a part of areas adopt an online monitoring means to complete a link of continuously collecting data so as to ensure timely calculation and monitoring of three-phase unbalance degree, thereby being convenient for the arrangement operation and maintenance personnel to carry out manual phase change in a targeted manner.
However, in the above operation modes, there is a problem that the manual commutation scheduling optimality is not high, for example, how to determine where the manual commutation urgency is higher and how to ensure that the manual commutation operation at different places is completed with higher efficiency on the premise of limited operation and maintenance personnel.
In view of this, the present application is specifically proposed.
Disclosure of Invention
The invention aims to provide a load monitoring and early warning method and system for branch lines of a power distribution station, and the early warning method and system can reflect the degree of three-phase unbalance to an early warning trend graph, and can perform personnel scheduling according to the early warning trend graph so as to achieve higher scheduling optimality.
Embodiments of the present invention are implemented as follows:
in a first aspect, a load monitoring and early warning method for branch lines of a distribution area, the method includes the following steps: continuously acquiring load operation data of each branch line in a first period, wherein the load operation data refers to three-phase load operation data of the branch line; calculating an inter-phase unbalance value based on load operation data, and comparing the inter-phase unbalance value with a preset unbalance threshold value to obtain the deviation degree of the inter-phase unbalance value; grading according to the deviation degree, and marking the early warning characteristic of the branch line in a first period; carrying out relevance analysis on early warning characteristics of all branch lines to obtain an early warning trend chart; and determining a phase-change priority sequence of load adjustment based on the early warning trend graph.
In an alternative embodiment, comparing the inter-phase imbalance value with a preset imbalance threshold value, and obtaining the deviation degree of the inter-phase imbalance value includes the following steps: acquiring the distance between the inter-phase unbalance value and a preset unbalance threshold value, performing interval locking based on the distance, and endowing the interval with a deviation attribute; wherein, interval locking refers to matching the value of the distance characterization to the corresponding value interval.
In an alternative embodiment, the grading is performed according to the deviation degree, and the marking the early warning characteristic of the branch line in the first period includes the following steps: acquiring interval deviation attributes corresponding to the deviation degree, and determining a deviation grade based on the severity degree of the deviation represented by the interval deviation attributes; determining a basic characteristic parameter corresponding to the deviation grade, wherein the basic characteristic parameter refers to a basic early warning value of the branch line in a first period; and (5) again giving a first early warning mark to the basic characteristic parameter based on the result of the interval locking as the early warning characteristic of the branch line.
In an alternative embodiment, determining the deviation frequency of the branch line in the first period, and additionally giving a second early warning mark to the basic characteristic parameter as the early warning characteristic of the branch line; the offset frequency refers to the frequency of the same offset degree of the inter-phase imbalance value of the branch line in the first period.
In an alternative embodiment, determining a deviation peak value of the branch line in a first period, and additionally giving a third early warning mark to the basic characteristic parameter as an early warning characteristic of the branch line; the off-peak value refers to a concentration of the degree of deviation of the inter-phase imbalance value of the branch line in the first period.
In an alternative embodiment, the correlation analysis of the early warning characteristics of all branch lines includes the following steps: and acquiring each characterization attribute of the early warning characteristic, carrying out concentration degree representation on all the characterization attributes, and classifying the early warning characteristic represented by the characterization attribute with the concentration degree exceeding a preset threshold.
In an alternative embodiment, after classifying the early warning characteristic represented by the characterization attribute with the concentration degree exceeding the preset threshold value, the method further comprises the following steps: carrying out dimension splitting on the early warning characteristic to respectively obtain early warning characteristic sub-items with a first early warning mark, a second early warning mark or a third early warning mark; comparing all the early warning characteristic sub-items of each dimension; and finely classifying the early warning characteristic sub-items with the same dimension.
In an alternative embodiment, after dimension splitting is performed on the early warning characteristic, a weight ratio sequence of the first early warning mark, the second early warning mark and the third early warning mark is obtained, the early warning characteristic is pre-classified based on the weight ratio sequence, and the classification result is given to the early warning trend graph.
In an alternative embodiment, the method for determining the load-adjusted commutation priority sequence based on the early warning trend graph comprises the following steps: and acquiring time and space attributes of the commutation operation, and adjusting the commutation priority sequence by combining the time and space attributes with the early warning trend graph.
In a second aspect, a load monitoring and early warning system for branch lines of a distribution transformer area includes:
a first acquisition module for continuously acquiring load operation data of each branch line in a first period, wherein the load operation data refers to three-phase load operation data of the branch line;
the second acquisition module is used for calculating an inter-phase unbalance value based on the load operation data, comparing the inter-phase unbalance value with a preset unbalance threshold value and acquiring the deviation degree of the inter-phase unbalance value;
the first processing module is used for grading according to the deviation degree and marking the early warning characteristic of the branch line in the first period;
the third acquisition module is used for carrying out correlation analysis on the early warning characteristics of all branch lines to obtain an early warning trend graph;
and the second processing module is used for determining a phase-change priority sequence of load adjustment based on the early warning trend graph.
The embodiment of the invention has the beneficial effects that:
according to the load monitoring and early warning method and system for the branch lines of the distribution transformer area, the load operation data of each branch line are obtained, the inter-phase unbalance values can be calculated on line in different time periods and recorded continuously, so that the deviation degree of the three-phase unbalance of each time point of the branch line is obtained, the early warning characteristic of the branch line is represented through the deviation degree, the background server can know the three-phase unbalance condition of the branch line qualitatively, the severity, the concentration degree, the emergency degree and the like of a target area can be considered when personnel schedule the branch line, the optimal scheduling priority is achieved, and the integral efficiency of manual phase-change operation is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of main steps of a monitoring and early warning method according to an embodiment of the present invention;
fig. 2 is an exemplary block diagram of a monitoring and early warning system according to an embodiment of the present invention.
Icon: 600-monitoring and early warning system; 610-a first acquisition module; 620-a second acquisition module; 630-a first processing module; 640-a third processing module; 650-a second processing module.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It is to be understood that the terms "system," "apparatus," and/or "module" as used herein are intended to be one way of distinguishing between different components, elements, parts, portions, or assemblies of different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
As used herein and in the claims, the terms "a," "an," "the," and/or "the" are not specific to the singular, but may include the plural, unless the context clearly dictates otherwise. Generally, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
A flowchart is used in the present invention to describe the operations performed by the system according to embodiments of the present application. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
Examples
Aiming at the problem of three-phase unbalance, the manual phase change mode adopted before has some disadvantages, for example, three-phase load adjustment generally reaches a distribution substation for manual measurement after power failure caused by exceeding of branch load, then the load distribution is manually adjusted according to the measurement result, the whole process is labor-consuming and time-consuming, the timeliness is extremely low, the load adjustment is lagged, and the pertinence is poor; for example, at present, most distribution transformer areas are only provided with load monitoring devices at the low-voltage side of the distribution transformer, and load conditions of all branch lines of an outlet switch of the distribution transformer area cannot be timely and continuously obtained due to complex field operation conditions and low priority. Aiming at the defects, the technology capable of monitoring the load data of each branch line in real time is adopted, and the three-phase unbalance condition of the branch line can be effectively monitored on line, so that operation and maintenance personnel can be purposefully arranged to perform manual commutation operation after the three-phase unbalance exceeds the standard, and the target effectiveness is greatly improved.
Aiming at the above-mentioned online operation mode, we find that, along with the increase of the input number of the online monitoring device, the background displays the unbalanced three-phase line and increases accordingly, which brings about the scheduling optimization problem of manual phase change, for example, on the premise of limited operation and maintenance personnel, how to judge where the manual phase change is urgent and how to ensure that the manual phase change operation at different places is completed more efficiently.
Referring specifically to fig. 1, the method for monitoring and early warning load of branch lines of a power distribution area according to the present embodiment includes the following steps:
s100: continuously acquiring load operation data of each branch line in a first period, wherein the load operation data refers to three-phase load operation data of the branch line; this step represents the load data acquisition of the branch line where the on-line monitoring device is arranged, for example, the current operation data in a first period of time, and it should be noted that the first period of time refers to the data acquired continuously and continuously in a certain period of time (not limited to a certain period of time, but may be any period of 24 hours a day), and the time interval is, for example, in the range of 1-10 min.
S200: calculating an inter-phase unbalance value based on the load operation data, and comparing the inter-phase unbalance value with a preset unbalance threshold value to obtain the deviation degree of the inter-phase unbalance value; in the step, the phase-to-phase unbalance value is used for representing the value of the three-phase unbalance, for example, the calculating method is that the difference value between the maximum current and the average current in the three phases is calculated, and then the calculated value is compared with the average current value of the three phases; for example, the ratio of the difference value of the three-phase maximum current and the minimum current to the average value is used; for example, the ratio of the difference value between the maximum current and the minimum current of the three phases to the maximum phase current is used; for example, the absolute value of the difference between the current of each phase and the average current is compared with the average current, and the maximum value is obtained. In any of the above calculation methods, the object is to obtain the phase-to-phase imbalance value, and the above calculation method is not limited thereto.
The inter-phase imbalance value is compared with a preset imbalance threshold value, which may be represented by a difference value or a ratio, wherein the preset imbalance threshold value is a value determined in advance, and is determined to be in a range of 10-15% according to different standards of different regions. The degree of deviation is determined according to the comparison result, and can be represented qualitatively or quantitatively.
S300: grading according to the deviation degree, and marking the early warning characteristic of the branch line in the first period; the step represents attribute depiction according to the deviation degree of the branch line in a first period, and the deviation degree is also a section value of a plurality of columns because the deviation degree is continuously acquired in a certain period, the section value is subjected to data processing, the deviation situation of the branch line can be represented according to a preset rule, the early warning characteristic is defined according to the preset rule, and the attribute depiction of the early warning characteristic comprises at least one synthetic situation such as intermittent deviation, continuous deviation, progressive deviation, wavy deviation, short burst separation and the like, so that the three-phase imbalance situation of the branch line in the period (in a history period can be acquired) can be known, wherein the mark marks are marking ways such as colors, numerical values, patterns and the like, and the background data analysis can be given to a way which is convenient for quick understanding.
S400: carrying out relevance analysis on early warning characteristics of all branch lines to obtain an early warning trend chart; the step represents linking the attribute descriptions of all branch lines, finding out the branch lines with similarity (or similar deviation degree, or similar deviation moment, or similar deviation frequency, etc.), so as to construct an early warning trend graph, where the early warning trend graph is the result of integrating on the power cable wiring graph, and can perform global overview on each section of power cable, so that the step S500 is convenient to perform: and determining a phase-change priority sequence of load adjustment based on the early warning trend graph, wherein the phase-change priority sequence of load adjustment can globally control the three-phase imbalance conditions of all branch lines, and the mastered information is wider and finer, so that the auxiliary optimization effect on the adjustment decision can be realized after the relevance analysis.
Through above technical scheme, compare before this to the unbalanced branch line early warning of three-phase after direct arrangement fortune dimension personnel manual commutation's mode, this mode possesses higher wisdom degree of arranging for personnel's dispatch is more reasonable scientific, can handle personnel to send to certain target block terminal place with pertinence, improve the personnel effect ratio under the limited prerequisite of fortune dimension personnel better, adjust the different dispatch priority of urgent nature and be responsible for the processing sequence when certain district changes phase and adjusts the operation and guarantee the problem of operating efficiency, thereby avoid appearing frequent circumstances of having a power failure, realize the dispatch and arrange the strategy of more optimality.
In some embodiments, in step S200, the comparing the inter-phase imbalance value with a preset imbalance threshold value, and obtaining the deviation degree of the inter-phase imbalance value includes the following steps: and obtaining the distance between the inter-phase unbalance value and the preset unbalance threshold value, wherein the distance can be a difference value of two values or Euclidean distance of two coordinates. Performing interval locking based on the distance, and endowing the interval deviation attribute; the interval locking means that the values of the distance representation are matched into corresponding value intervals, the obtained difference value is defined in a certain value interval, and the value interval is endowed with a deviation attribute, for example, the deviation attribute adopts serious, general, slight and normal to represent the deviation situation of three-phase imbalance at the moment, so that the attribute description is conveniently formed, and whether the interval is intermittent deviation, continuous deviation, progressive deviation, wavy deviation or short burst separation is judged.
Based on the above scheme, in step S300, the grading according to the deviation degree, and marking the early warning characteristic of the branch line in the first period includes the following steps:
s310: acquiring interval deviation attributes corresponding to the deviation degree, and determining a deviation grade based on the severity degree of the deviation represented by the interval deviation attributes; this step represents the deviation attribute at that time to define a deviation grade, where the deviation grade may employ a lower characterization indicator that represents the severity of the deviation, such as severity 1, severity 2, slightly 1, generally 3, etc.
S320: determining a basic characteristic parameter corresponding to the deviation grade, wherein the basic characteristic parameter refers to a basic early warning value of the branch line in the first period; this step represents that each level corresponds to a base value and end points floating above and below the base value, wherein the base value, i.e. the interval formed by the end points, represents the base characteristic parameter.
S330: and based on the result of the interval locking, a first early warning mark is again given to the basic characteristic parameter as the early warning characteristic of the branch line. The step shows that the reference section locking result carries out similarity correction on the section formed by the basic value, namely the end point value, and sub-grades with different grades are defined, so that the difference of each deviation degree in each large grade is more carefully mastered, and the first early warning mark, such as intermittent deviation, is conveniently given to the early warning characteristic of the branch line +1 Progressive deviation +3 Or short burst separation -1 And the like.
Through the steps S310-S330, the first type of mark can be given to each early warning characteristic, and the severity of each early warning characteristic can be further mastered in the background, so that a better auxiliary effect is achieved on the final scheduling decision.
In addition, in addition to assigning the first type of signature to the early warning characteristic, other signatures may be assigned, for example, in some embodiments, further including determining a frequency of deviation of the branch line during a first period of time, and additionally assigning a second early warning signature to the base characteristic parameter as an early warning characteristic of the branch line; wherein the offset frequency refers to a frequency at which the inter-phase imbalance values of the branch line occur to the same degree of offset in the first period. According to the technical scheme, a time period unit which is smaller in a first time period for the early warning characteristic of the type is an analysis object, whether the intermittent deviation, the continuous deviation, the progressive deviation, the wavy deviation and the short burst separation phenomenon are of the frequent type or not is indicated, the frequent degree can be determined to serve as a second early warning mark to prompt operation and maintenance personnel, the possibility of electricity stealing and leakage in long-term operation and maintenance operation can exist, or the problem that the operation and maintenance problem is not solved in time can be solved.
In addition, on the basis of the scheme, more early warning marks can be given, namely, the deviation peak value of the branch line in the first period is determined, and a third early warning mark is given to the basic characteristic parameter to serve as the early warning characteristic of the branch line; wherein the deviated peak value refers to a concentrated condition of the degree of deviation of the inter-phase imbalance value of the branch line in the first period. That is, it means that no matter which one or more of intermittent deviation, continuous deviation, progressive deviation, wavy deviation or short burst separation is involved, it is necessary to analyze the amplitude and width of the deviation peak, so as to grasp the preference of deviation in the early warning characteristic, and thus, the operation and maintenance personnel meeting the requirements can be purposefully arranged to go to the rapid processing.
By considering the fact that a series of early warning mark endowing modes are provided for the characteristic dimension of the early warning characteristic, the specific situation and the characteristic of the three-phase imbalance of the branch line can be mastered as far as possible from the deviation degree. However, there is some room for further optimization as an optimization method of the scheduling scheme only from the deviation, that is, in this embodiment, in combination with the above-mentioned technical scheme, in the step S400, the correlation analysis of the early warning characteristics of all branch lines includes the following steps: the method comprises the steps of obtaining each characterization attribute of the early warning characteristic, wherein the characterization attribute refers to a space-time attribute (time attribute and space attribute) of the early warning characteristic, such as deviation from the time period, deviation from the geographic position of occurrence, deviation from the time interval of last phase change from occurrence or deviation from the power grid structure of the occurrence area, and the like, so as to find the similarity of the early warning characteristic of each branch line in the dimension beyond the deviation degree.
And then, carrying out concentration degree representation on all the characterization attributes, classifying the early warning characteristics represented by the characterization attributes with the concentration degree exceeding a preset threshold, namely, classifying each characterization attribute in all the early warning characteristics, and associating all the early warning characteristics represented by a certain category exceeding the preset threshold, so that more similar processing can be carried out on branch lines under the category in a subsequent scheduling strategy.
On the basis of the scheme, after the preliminary classification is made, the method can further classify each class, namely after classifying the early warning characteristics represented by the characterization attribute with the concentration degree exceeding a preset threshold, the method further comprises the following steps:
carrying out dimension splitting on the early warning characteristics to respectively obtain early warning characteristic sub-items with a first early warning mark, a second early warning mark or a third early warning mark; comparing all the early warning characteristic sub-items of each dimension; and finely classifying the early warning characteristic sub-items with the same dimension. Through the technical scheme, the operation and maintenance personnel can be classified according to the overlapping condition of the early warning marks (the first early warning mark, the second early warning mark or the third early warning mark) under the category of large dimension, and the operation and maintenance personnel can have further phase change treatment order and countermeasure.
And further, after dimension splitting is carried out on the early warning characteristics, a weight ratio sequence of the first early warning mark, the second early warning mark and the third early warning mark is obtained, the early warning characteristics are graded in advance based on the weight ratio sequence, and the early warning trend graph is endowed with a grading result. I.e. the priority of the process (corresponding to the branch line represented by the early warning characteristic) is determined according to the proportion and the weight of the first early warning mark, the second early warning mark and the third early warning mark. The priority can be expressed in the early warning trend graph, so that when the overall scheduling decision is made, the main objective or the problem of the gravity center in the current round of scheduling phase-change operation can be subjected to matching decision.
By the above technical solution, after considering the characteristics of the deviation degree of the branch line and the characteristic attribute of the deviation, in some embodiments, the matching degree of the operation and maintenance personnel when being scheduled may be further considered, that is, the phase-change priority sequence for determining the load adjustment based on the early warning trend graph includes the following steps: the technical scheme is characterized in that factors such as the position of an operation and maintenance person, the arrival time, the processing time of the phase change operation, the working characteristics and the like can be used as combination to carry out auxiliary adjustment on the preliminary scheduling decision which is already made according to the early warning trend graph, so that the final scheduling strategy is more optimized and reasonable.
In this embodiment, a load monitoring and early warning system 600 of a branch line of a power distribution substation is further provided, please refer to a modularized schematic diagram of the load monitoring and early warning system 600 of the branch line of the power distribution substation in fig. 2, which is mainly used for dividing functional modules of the load monitoring and early warning system 600 of the branch line of the power distribution substation according to the embodiment of the method described above. For example, each functional module may be divided, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, the division of the modules in the present invention is illustrative, and is merely a logic function division, and other division manners may be implemented in practice. For example, in the case of dividing the respective functional modules by the respective functions, fig. 2 shows only a schematic system/apparatus, wherein the load monitoring and early warning system 600 of the branch line of the distribution substation may include a first acquiring module 610, a second acquiring module 620, a first processing module 630, a third acquiring module 640, and a second processing module 650. The functions of the respective unit modules are explained below.
A first obtaining module 610, configured to continuously obtain load operation data of each branch line in a first period, where the load operation data refers to three-phase load operation data of the branch line. The second obtaining module 620 is configured to calculate an inter-phase imbalance value based on the load operation data, compare the inter-phase imbalance value with a preset imbalance threshold value, and obtain a deviation degree of the inter-phase imbalance value; the second obtaining module 620 is further configured to obtain a distance between the inter-phase imbalance value and the preset imbalance threshold value, perform interval locking based on the distance, and assign the interval deviation attribute; wherein, the interval locking means that the numerical value of the distance representation is matched into a corresponding numerical value interval.
The first processing module 630 is configured to grade according to the deviation degree, and mark the early warning characteristic of the branch line in the first period; the first processing module 630 is further configured to obtain a section deviation attribute corresponding to the deviation degree, and determine a deviation level based on the severity of the deviation represented by the section deviation attribute; determining a basic characteristic parameter corresponding to the deviation grade, wherein the basic characteristic parameter refers to a basic early warning value of the branch line in the first period; based on the result of the interval locking, a first early warning mark is given to the basic characteristic parameter again to serve as the early warning characteristic of the branch line; determining the deviation frequency of the branch line in the first period, and additionally endowing the basic characteristic parameter with a second early warning mark as the early warning characteristic of the branch line; wherein the deviation frequency refers to the frequency of the same deviation degree of the inter-phase unbalance value of the branch line in the first period; determining a deviation peak value of the branch line in the first period, and additionally giving a third early warning mark to the basic characteristic parameter as an early warning characteristic of the branch line; wherein the deviated peak value refers to a concentrated condition of the degree of deviation of the inter-phase imbalance value of the branch line in the first period.
The third obtaining module 640 is configured to perform correlation analysis on early warning characteristics of all branch lines, and obtain an early warning trend chart; the third obtaining module 640 is further configured to obtain each characterization attribute of the early warning characteristic, perform concentration degree representation on all characterization attributes, and classify the early warning characteristic represented by the characterization attribute with the concentration degree exceeding a preset threshold; carrying out dimension splitting on the early warning characteristics to respectively obtain early warning characteristic sub-items with a first early warning mark, a second early warning mark or a third early warning mark; comparing all the early warning characteristic sub-items of each dimension; finely classifying the early warning characteristic sub-items with the same dimension; after dimension splitting is carried out on the early warning characteristics, a weight proportion sequence of the first early warning mark, the second early warning mark and the third early warning mark is obtained, pre-grading is carried out on the early warning characteristics based on the weight proportion sequence, and a grading result is given to the early warning trend graph; and acquiring time and space attributes of the commutation operation, and adjusting the commutation priority sequence by combining the time and space attributes with the early warning trend graph.
The second processing module 650 is configured to determine a load-adjusted commutation priority sequence based on the early warning trend graph.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to encompass such modifications and variations.
Claims (2)
1. The load monitoring and early warning method for the branch lines of the distribution transformer area is characterized by comprising the following steps:
continuously acquiring load operation data of each branch line in a first period, wherein the load operation data refers to three-phase load operation data of the branch line;
calculating an inter-phase unbalance value based on the load operation data, and comparing the inter-phase unbalance value with a preset unbalance threshold value to obtain the deviation degree of the inter-phase unbalance value;
grading according to the deviation degree, and marking the early warning characteristic of the branch line in the first period;
carrying out relevance analysis on early warning characteristics of all branch lines to obtain an early warning trend chart;
determining a load-adjusted commutation priority sequence based on the early warning trend graph;
comparing the inter-phase unbalance value with a preset unbalance threshold value, and obtaining the deviation degree of the inter-phase unbalance value comprises the following steps:
acquiring the distance between the inter-phase unbalance value and the preset unbalance threshold value, performing interval locking based on the distance, and endowing the interval with an interval deviation attribute; wherein, the interval locking means that the numerical value of the distance representation is matched into a corresponding numerical value interval;
the grading is carried out according to the deviation degree, and the marking of the early warning characteristic of the branch line in the first period of time comprises the following steps:
acquiring interval deviation attributes corresponding to the deviation degree, and determining a deviation grade based on the severity degree of the deviation represented by the interval deviation attributes;
determining a basic characteristic parameter corresponding to the deviation grade, wherein the basic characteristic parameter refers to a basic early warning value of the branch line in the first period;
based on the result of the interval locking, a first early warning mark is given to the basic characteristic parameter again to serve as the early warning characteristic of the branch line;
determining the deviation frequency of the branch line in the first period, and additionally endowing the basic characteristic parameter with a second early warning mark as the early warning characteristic of the branch line; wherein the deviation frequency refers to the frequency of the same deviation degree of the inter-phase unbalance value of the branch line in the first period;
determining a deviation peak value of the branch line in the first period, and additionally giving a third early warning mark to the basic characteristic parameter as an early warning characteristic of the branch line; wherein the deviation peak value refers to the concentration condition of the deviation degree of the inter-phase imbalance value of the branch line in the first period;
the correlation analysis of the early warning characteristics of all branch lines comprises the following steps: acquiring each characterization attribute of the early warning characteristic, carrying out concentration degree representation on all characterization attributes, and classifying the early warning characteristic represented by the characterization attribute with the concentration degree exceeding a preset threshold;
after classifying the early warning characteristics represented by the characterization attribute with the concentration degree exceeding a preset threshold value, the method further comprises the following steps:
carrying out dimension splitting on the early warning characteristics to respectively obtain early warning characteristic sub-items with a first early warning mark, a second early warning mark or a third early warning mark; comparing all the early warning characteristic sub-items of each dimension; finely classifying the early warning characteristic sub-items with the same dimension;
after dimension splitting is carried out on the early warning characteristics, a weight proportion sequence of the first early warning mark, the second early warning mark and the third early warning mark is obtained, pre-grading is carried out on the early warning characteristics based on the weight proportion sequence, and a grading result is given to the early warning trend graph;
the method for determining the load-adjusted commutation priority sequence based on the early warning trend graph comprises the following steps: and acquiring time and space attributes of the commutation operation, and adjusting the commutation priority sequence by combining the time and space attributes with the early warning trend graph.
2. A load monitoring and early warning system for branch lines of a distribution substation, comprising:
a first acquisition module, configured to continuously acquire load operation data of each branch line in a first period, where the load operation data refers to three-phase load operation data of the branch line;
the second acquisition module is used for calculating an inter-phase unbalance value based on the load operation data, comparing the inter-phase unbalance value with a preset unbalance threshold value and acquiring the deviation degree of the inter-phase unbalance value;
the first processing module is used for grading according to the deviation degree and marking the early warning characteristic of the branch line in the first period;
the third acquisition module is used for carrying out correlation analysis on the early warning characteristics of all branch lines to obtain an early warning trend graph;
the second processing module is used for determining a phase-change priority sequence of load adjustment based on the early warning trend graph;
comparing the inter-phase unbalance value with a preset unbalance threshold value, and obtaining the deviation degree of the inter-phase unbalance value comprises the following steps:
acquiring the distance between the inter-phase unbalance value and the preset unbalance threshold value, performing interval locking based on the distance, and endowing the interval with an interval deviation attribute; wherein, the interval locking means that the numerical value of the distance representation is matched into a corresponding numerical value interval;
the grading is carried out according to the deviation degree, and the marking of the early warning characteristic of the branch line in the first period of time comprises the following steps:
acquiring interval deviation attributes corresponding to the deviation degree, and determining a deviation grade based on the severity degree of the deviation represented by the interval deviation attributes;
determining a basic characteristic parameter corresponding to the deviation grade, wherein the basic characteristic parameter refers to a basic early warning value of the branch line in the first period;
based on the result of the interval locking, a first early warning mark is given to the basic characteristic parameter again to serve as the early warning characteristic of the branch line;
determining the deviation frequency of the branch line in the first period, and additionally endowing the basic characteristic parameter with a second early warning mark as the early warning characteristic of the branch line; wherein the deviation frequency refers to the frequency of the same deviation degree of the inter-phase unbalance value of the branch line in the first period;
determining a deviation peak value of the branch line in the first period, and additionally giving a third early warning mark to the basic characteristic parameter as an early warning characteristic of the branch line; wherein the deviation peak value refers to the concentration condition of the deviation degree of the inter-phase imbalance value of the branch line in the first period;
the correlation analysis of the early warning characteristics of all branch lines comprises the following steps: acquiring each characterization attribute of the early warning characteristic, carrying out concentration degree representation on all characterization attributes, and classifying the early warning characteristic represented by the characterization attribute with the concentration degree exceeding a preset threshold;
after classifying the early warning characteristics represented by the characterization attribute with the concentration degree exceeding a preset threshold value, the method further comprises the following steps:
carrying out dimension splitting on the early warning characteristics to respectively obtain early warning characteristic sub-items with a first early warning mark, a second early warning mark or a third early warning mark; comparing all the early warning characteristic sub-items of each dimension; finely classifying the early warning characteristic sub-items with the same dimension;
after dimension splitting is carried out on the early warning characteristics, a weight proportion sequence of the first early warning mark, the second early warning mark and the third early warning mark is obtained, pre-grading is carried out on the early warning characteristics based on the weight proportion sequence, and a grading result is given to the early warning trend graph;
the method for determining the load-adjusted commutation priority sequence based on the early warning trend graph comprises the following steps: and acquiring time and space attributes of the commutation operation, and adjusting the commutation priority sequence by combining the time and space attributes with the early warning trend graph.
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| CN112542889A (en) * | 2020-12-10 | 2021-03-23 | 国网辽宁省电力有限公司抚顺供电公司 | Three-phase load unbalance monitoring system |
| CN113162075A (en) * | 2021-04-16 | 2021-07-23 | 西安理工大学 | Three-phase imbalance active treatment method and device based on matching of transformer area characteristics and commutation targets |
| CN113555886A (en) * | 2021-07-30 | 2021-10-26 | 南方电网电力科技股份有限公司 | Load data-based three-phase imbalance control method, system and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112542889A (en) * | 2020-12-10 | 2021-03-23 | 国网辽宁省电力有限公司抚顺供电公司 | Three-phase load unbalance monitoring system |
| CN113162075A (en) * | 2021-04-16 | 2021-07-23 | 西安理工大学 | Three-phase imbalance active treatment method and device based on matching of transformer area characteristics and commutation targets |
| CN113555886A (en) * | 2021-07-30 | 2021-10-26 | 南方电网电力科技股份有限公司 | Load data-based three-phase imbalance control method, system and equipment |
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