Phase sequence topology identification method, device and electronic equipment for transformer area

Abstract

The present invention discloses a phase sequence topology identification method, device and electronic device for a substation, the method comprising: numbering the feeders of the target substation, and obtaining the voltage array and active power array of the feeders; labeling each user meter under the target bifurcation point in the feeder with feeders and phase sequence, obtaining multiple label meters, and obtaining representative label meters and label meter voltages and label meter active power; adaptively clustering other user meters in the substation except the label meters, obtaining multiple meter clustering clusters, and obtaining representative meters and representative voltages and representative active power; establishing a preset phase sequence topology identification model for the representative meter, and identifying the phase sequence of the meter clustering cluster according to the preset phase sequence topology identification model; sorting and outputting the phase sequence topology identification results of the user meters. The present invention uses voltage and active power to realize phase sequence topology identification based on impedance stability analysis, which is conducive to improving the accuracy of phase sequence identification.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network substation topology identification, and in particular to a substation phase sequence topology identification method, device and electronic equipment. Background Art

[0002] The construction of digital power grid has promoted the construction of physical information system of low-voltage distribution network. By using digital analysis methods for distribution network, the operation status of low-voltage distribution network can be perceived by analyzing power consumption data. In digital analysis technology, the substation topology information plays a very important basic supporting role in line loss analysis, three-phase imbalance analysis and fault analysis of low-voltage substations. Therefore, it is of great significance to study substation topology analysis technology.

[0003] Substation phase sequence topology is a branch of substation topology analysis. It uses the power consumption data of each node in the substation to analyze the associated information of the substation phase sequence topology. At present, the following three methods are mainly used to analyze the phase sequence topology of redundant power consumption data in the substation:

[0004] The first is the current method. Based on the principle of current supply and output balance, a matching model of the phase sequence total meter current and the user meter current is proposed, which can solve the power supply phase sequence of the user meter. The problem is that this method is overly dependent on the error between the total meter current and the user meter current. A large current error can easily lead to model matching errors.

[0005] The second is the voltage method, which directly performs unsupervised clustering on the user voltage and redistributes the phase sequence to the meter clusters. The problem is that it is difficult to determine the number of clusters. If the number of clusters is too small, it is easy for out-of-phase meters to be clustered as the same phase. If the number of clusters is too large, it is easy for each cluster to be difficult to analyze the phase sequence, affecting the phase sequence recognition result.

[0006] The third method is the voltage-current method. First, the user meters are clustered based on voltage using the similarity of voltage fluctuations of adjacent users on the same phase line, thereby reducing the dimension of the solution variable. Then, a matching model with the phase sequence total meter current is established for the clustered meter set. The problem is that since there are a large number of user meters under the same phase sequence, if there is a measurement error in each user meter, the error between the sum of the current of the user meter and the phase sequence total meter current will be amplified, resulting in a current model matching error. In addition, the electrical distance between the meter at the head end of the substation and the busbar is too close, which makes the voltage similarity of the out-of-phase meters very high, resulting in clustering errors in the clustering link, affecting the subsequent phase sequence identification results. Summary of the invention

[0007] The present invention provides a phase sequence topology identification method, device and electronic equipment for a transformer substation, so as to solve the problem of large model matching error in the existing phase sequence analysis method, and improve the accuracy of phase sequence identification.

[0008] According to one aspect of the present invention, a method for identifying phase sequence topology of a substation is provided, comprising: numbering the feeders of a target substation and obtaining a voltage array and an active power array of the feeders; performing feeder and phase sequence labeling processing on each user meter under a target bifurcation point in the feeder to obtain a plurality of labeled meters, and obtaining the representative labeled meter and the labeled meter voltage and labeled meter active power of the representative labeled meter; performing adaptive clustering on user meters other than the labeled meters in the substation to obtain a plurality of meter clustering clusters, and obtaining the representative meter of the meter clustering cluster and the representative voltage and representative active power corresponding to the representative meter; establishing a preset phase sequence topology identification model for the representative meter, and identifying the phase sequence of the meter clustering cluster according to the preset phase sequence topology identification model, wherein the preset phase sequence topology identification model is established based on the loop voltage equation between the representative labeled meter and the representative meter and a preset impedance stability index function; and sorting and outputting the phase sequence topology identification results of the user meters.

[0009] According to another aspect of the present invention, a phase sequence topology identification device for a substation is provided, comprising: a feeder parameter acquisition unit, used to number the feeders of a target substation and obtain a voltage array and an active power array of the feeders; a tag meter parameter acquisition unit, used to perform feeder and phase sequence tagging processing on each user meter under a target bifurcation point in the feeder to obtain a plurality of tag meters, and obtain the tag meter voltage and tag meter active power of a representative tag meter and the representative tag meter; a representative meter parameter acquisition unit, used to perform feeder and phase sequence tagging processing on each user meter under a target bifurcation point in the feeder to obtain a plurality of tag meters, and obtain the tag meter voltage and tag meter active power of the representative tag meter and the representative tag meter; Perform adaptive clustering to obtain multiple meter clustering clusters, and obtain the representative meter of the meter clustering cluster and the representative voltage and representative active power corresponding to the representative meter; a phase sequence identification unit is used to establish a preset phase sequence topology identification model for the representative meter, and identify the phase sequence of the meter clustering cluster according to the preset phase sequence topology identification model, and the preset phase sequence topology identification model is established based on the loop voltage equation between the representative tag meter and the representative meter and a preset impedance stability index function; a phase sequence topology output unit is used to organize and output the phase sequence topology identification results of the user meter.

[0010] According to another aspect of the present invention, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned substation phase sequence topology identification method.

[0011] The technical solution of the embodiment of the present invention is to number the feeders of the target substation and obtain the voltage array and active power array of the feeders; perform feeder and phase sequence labeling on each user meter under the target bifurcation point in the feeder to obtain multiple labeled meters, and obtain the representative labeled meter and the labeled meter voltage and labeled meter active power of the representative labeled meter; perform adaptive clustering on the user meters other than the labeled meter in the substation to obtain multiple meter clustering clusters, and obtain the representative meter of the meter clustering cluster and the representative voltage and representative active power corresponding to the representative meter; A preset phase sequence topology recognition model is established for the meter, and the preset phase sequence topology recognition model is established based on the loop voltage equation representing the tag meter and the representative meter and a preset impedance stability index function; the phase sequence of the meter clustering cluster is identified according to the preset phase sequence topology recognition model, and the meter is stored in the meter phase sequence set; the phase sequence topology recognition results of the user meter are sorted and output, which solves the problem of large model matching error in the existing phase sequence analysis method, can improve the accuracy of phase sequence recognition, and directly analyze the feeder and user meter data, which has high engineering application value.

[0012] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0014] Figure 1 This is a flow chart of a method for identifying phase sequence topology of a transformer area provided in the first embodiment of the present invention;

[0015] Figure 2 is a flow chart of another method for identifying phase sequence topology of a transformer area provided in the first embodiment of the present invention;

[0016] Figure 3 This is a flow chart of another method for identifying phase sequence topology of a transformer area provided in the first embodiment of the present invention;

[0017] Figure 4 This is a flow chart of another method for identifying phase sequence topology of a transformer area provided in the first embodiment of the present invention;

[0018] Figure 5 It is a structural schematic diagram of a phase sequence topology identification device for a transformer area provided in Embodiment 2 of the present invention;

[0019] Figure 6 It is a structural schematic diagram of an electronic device provided in Example 3 of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0022] Embodiment 1

[0023] Figure 1 It is a flow chart of a substation phase sequence topology identification method provided in Example 1 of the present invention. This embodiment can be applicable to application scenarios of substation phase sequence topology analysis based on line segment impedance stability analysis. The method can be executed by a substation phase sequence topology identification device. The substation phase sequence topology identification device can be implemented in the form of hardware and / or software. The substation phase sequence topology identification device can be configured in a computer device.

[0024] like Figure 1 As shown, the phase sequence topology identification method of the transformer area specifically includes the following steps:

[0025] Step S1: number the feeders in the target substation and obtain the voltage array and active power array of the feeders.

[0026] Among them, the voltage array is an array established based on the voltage parameters of each feedback line A phase, B phase and C phase collected at different collection times, and the active power array is an array established based on the active power parameters of each feedback line A phase, B phase and C phase collected at different collection times.

[0027] In this step, the voltage acquisition device can be used to collect the voltage parameters of each feedback line, and the power acquisition terminal can be used to collect the active power parameters of the feeder line. All voltage parameters are established to obtain a voltage array. All active power data are used to build an active power array

[0028] In one embodiment, obtaining a voltage array and an active power array of a feeder includes: sequentially obtaining voltage parameters and active power parameters of phase A, phase B, and phase C of the feeder at T acquisition moments, wherein T is the number of sampling points in a single acquisition cycle, T is a positive integer greater than 3, and T is an integer multiple of 3; establishing a voltage array based on the voltage parameters of phase A, phase B, and phase C at T acquisition moments; establishing an active power array based on the active power parameters of phase A, phase B, and phase C at T acquisition moments.

[0029] For example, the total number of feeders connected to the power supply bus in the target substation is defined as L, where L is a positive integer greater than or equal to 1, and the feeder identifier k is defined. When obtaining the voltage array and active power array of the feeder, the feeder identifier k is traversed from 1 to L in sequence, and the voltage parameters and active power parameters of the kth feedback line A phase, B phase and C phase T collection time are collected to establish the voltage array and active array as follows:

[0030]

[0031]

[0032] in, represents the voltage parameter of phase A of the kth feedback line at the Tth collection moment; It represents the active power parameter of phase A of the kth feedback line at the Tth collection moment.

[0033] Step S2: perform feeder and phase sequence labeling processing on each user meter under the target bifurcation point in the feeder to obtain multiple labeled meters, and obtain the representative labeled meter and the labeled meter voltage and labeled meter active power of the representative labeled meter.

[0034] The labeling process refers to a method of adding feeder and phase sequence labels to the voltage and active power of each meter under the target bifurcation point.

[0035] The label meter is a meter with feeder and phase sequence labels added; the representative label meter is a virtual meter established by merging the label meters at the target bifurcation point.

[0036] In one embodiment, the target bifurcation point may be the first bifurcation node in each feedback line. The number of representative tag meters may be equal to three times the total number of feeder lines, that is, a representative tag meter may be established for each phase sequence of each feedback line.

[0037] For example, define the feeder and phase sequence labels Where k is the feeder identifier, is the phase sequence identifier, Indicates the kth feedback line After labeling, the label meter voltage can be expressed as The tag meter active power can be expressed as

[0038] In this step, label the meter voltage It can be the voltage of the meter with the largest average voltage during the acquisition period. Tags: electric meter, active It can be the sum of the active power of each meter within the collection period.

[0039] Step S3: adaptively clustering the user meters other than the tagged meter in the substation area to obtain multiple meter clusters, and obtaining representative meters of the meter clusters and representative voltages and representative active power corresponding to the representative meters.

[0040] The adaptive clustering refers to a method of adaptively determining the number of clusters by comparing the characteristic parameters between the electricity meters without presetting the number of clusters.

[0041] In this step, the electric meter clusters may be clustered based on the voltage similarity coefficient, and the representative electric meter may be the electric meter with the largest average voltage in each electric meter cluster during the collection period.

[0042] For example, the number of adaptive clusters is defined to be equal to N, and the N electric meter clusters are represented as Ω1, Ω2, ..., Ω N After obtaining the representative meter of each meter cluster, sort the N representative meters from large to small according to the average voltage value in the acquisition period, and label the sorted representative meters from 1 to N, where N is a positive integer greater than or equal to 1. The cluster identifier is defined as z, and the meter cluster where the representative meter z belongs can be expressed as Ω z When obtaining the representative voltage and the representative active power, the cluster identifier z is traversed from 1 to N in sequence, and the representative voltage can be expressed as U M,z , It represents the representative voltage at the Tth acquisition moment; the representative active power can be expressed as P M,z ,

[0043] Step S4: establishing a preset phase sequence topology recognition model for the representative electric meter, and identifying the phase sequence of the electric meter cluster according to the preset phase sequence topology recognition model.

[0044] Among them, the preset phase sequence topology recognition model is established based on the loop voltage equation representing the tag meter and the representative meter and the preset impedance stability index function.

[0045] Step S5: sorting and outputting the phase sequence topology identification results of the user's electric meter.

[0046] In this step, the user meter phase sequence topology identification result can be output in the form of a user meter phase sequence list.

[0047] In one embodiment, the phase sequence topology identification results of user meters are sorted and output, including: storing tagged meters in a meter phase sequence set according to phase sequence; storing meters whose phase sequences are identified according to a preset phase sequence topology identification model in a meter phase sequence set according to phase sequence; and outputting a user meter phase sequence list of the target substation from the meter phase sequence set according to phase sequence.

[0048] Specifically, the preset phase sequence topology recognition model can be used to identify the voltage of the tag meter at different collection times. Tags: electric meter, active Represents voltage U M,z and represents the active power P M,z The impedance value is solved by constructing the loop equation, and the impedance value is substituted into the preset impedance stability index function to calculate whether the impedance value at different acquisition times is stable. If the impedance value is stable, the phase sequence of the meters in the meter cluster can be determined, and the meters in the cluster are stored in the meter phase sequence set; if the impedance value is unstable, the meters in the cluster are not stored in the meter phase sequence set. By collecting the voltage parameters and active parameters of the user's meter and feeder, a phase sequence topology recognition model is constructed by combining the voltage parameters and active parameters. The phase sequence topology recognition model recognizes the phase sequence through impedance stability analysis, which solves the problem of large model matching error in the existing phase sequence analysis method, can improve the accuracy of phase sequence recognition, directly analyze the feeder and user meter data, and has high engineering application value.

[0049] Optionally, Figure 2 is a flow chart of another method for identifying phase sequence topology of a transformer area provided in the first embodiment of the present invention. Figure 1 Based on this, a specific implementation method of constructing a phase sequence topology identification model is exemplarily shown.

[0050] like Figure 2 As shown, the above step S4 includes the following steps:

[0051] Step S401: assigning values ​​to the impedance stability threshold and the traversal identifier, the traversal identifier includes the feeder identifier k, the phase sequence pointer c, the cluster identifier z and the tag meter identifier

[0052] Step S402: Based on the kth feedback line The loop voltage equation is established based on the label meter voltage and label meter active power of the representative label meter of the phase, and the representative voltage and representative active power of the representative meter of the zth meter cluster.

[0053] Step S403: solving the impedance value according to the loop voltage equation.

[0054] Step S404: Substituting the impedance value into a preset impedance stability index function to calculate an impedance stability factor.

[0055] Exemplarily, the preset impedance stability index function may satisfy the following formula:

[0056]

[0057] in, e=1,2,…,s-1, is the label representing the tagged electric meter, z is the number of the electric meter cluster; T is the number of sampling points in a single collection cycle.

[0058] It should be noted that the preset impedance stability index function may also be a function reflecting the discreteness of the impedance value, such as a mean square error function, and there is no limitation to this.

[0059] Step S405: determining whether the impedance stability factor is greater than or equal to the impedance stability threshold.

[0060] If the impedance stability factor is greater than or equal to the impedance stability threshold, step S406 is executed; otherwise, step S407 is executed.

[0061] Step S406: Determine the phase sequence corresponding to the phase sequence pointer c as the phase sequence of the electric meter cluster.

[0062] Step S407: Electricity meter clustering Ω z The electric meter is not stored in the electric meter phase sequence set.

[0063] Specifically, the impedance stability threshold can be defined as γ0, the traversal identifier can be assigned a value, the initial value of the cluster identifier z can be defined as 1, and the tag meter identifier The initial value of the phase sequence pointer c is 1; define the initial value of the feeder identifier k to be 1; define φ = {A, B, C}, the initial value of the phase sequence pointer c is 1; define the phase sequence identifier Establish kth feedback line The loop voltage equation between the representative label meter of the phase and the representative meter of the zth meter cluster is shown in Formula 1:

[0064]

[0065] in, Indicates the kth feedback line The voltage at the bifurcation point of the phase representative tag meter at the Tth acquisition time; Indicates the kth feedback line at the Tth acquisition time The bifurcation point voltage of the phase representative tag meter; represents the feeder current of the kth feedback line φ(c) phase at the Tth acquisition moment; Indicates the zth meter cluster Ω at the Tth collection time z The representative voltage of the meter z.

[0066] definition

[0067]

[0068] x=[x1 … x e … x s ], in,

[0069] Simplifying formula 1, we get formula 2 as shown below:

[0070]

[0071] Solve formula 2 to obtain the impedance values ​​corresponding to different acquisition parameters.

[0072] Substitute the impedance value into the preset impedance stability index function to calculate the impedance stability factor γ. If the impedance stability factor γ is greater than or equal to the impedance stability threshold γ0, the phase sequence φ(c) corresponding to the current phase sequence pointer c is determined as the meter cluster Ω. z The phase sequence of the meters is then clustered into clusters Ω z The electric meters are stored in the electric meter phase sequence set; if the impedance stability factor γ is less than the impedance stability threshold γ0, the electric meter cluster Ω z The meter is not stored in the meter phase sequence set, the traversal identifier is reassigned, the preset phase sequence topology recognition model is updated according to the new pointer symbol, and the impedance stability factor γ is recalculated until the meter phase sequence is identified.

[0073] It should be noted that, when the phase sequence pointer c is less than 3, c=c+1 is used to reassign the phase sequence pointer c; when the phase sequence pointer c=3, k=k+1 is used to reassign the feeder identifier.

[0074] Optionally, Figure 3 is a flow chart of another method for identifying phase sequence topology of a transformer area provided in the first embodiment of the present invention. Figure 2 Based on this, another specific implementation method of constructing a phase sequence topology identification model is exemplarily shown.

[0075] like Figure 3 As shown, after the above step S406, the method further includes the following steps:

[0076] Step S408: replacing the representative electricity meter of the electricity meter cluster with a new representative label electricity meter.

[0077] Step S409: Based on the updated tagged meter voltage and tagged meter active power, a preset phase sequence topology recognition model is established for the representative meter of the z+1th meter cluster.

[0078] Specifically, when the impedance stability factor γ is greater than or equal to the impedance stability threshold γ0, the meter cluster Ω z The electric meters are stored in the electric meter phase sequence set, and at the same time, the electric meters are clustered into clusters Ω z The representative meter z is updated to the new representative label meter Tag meter identifier Reassign the value At the same time, the voltage and active variable symbols representing meter z are changed to represent the label meter The voltage and active variable signs of Change to Will Change to Using the modified variable symbols, cluster Ω of the z+1th meter z The representative electric meter z+1 re-establishes the preset phase sequence topology recognition model, and identifies the phase sequence according to the preset phase sequence topology recognition model. The method for identifying the phase sequence is the same as that in the above embodiment and will not be repeated here.

[0079] Optionally, Figure 4 is a flow chart of another method for identifying phase sequence topology of a transformer area provided in the first embodiment of the present invention. Figure 1 Based on this, a specific implementation of adaptive clustering is exemplarily shown.

[0080] like Figure 4 As shown, the above step S3 includes the following steps:

[0081] Step S301: Establishing a voltage correlation coefficient matrix between the voltages of all user electric meters in the target area.

[0082] Step S302: performing a traversal comparison between the voltage correlation coefficient between any two electric meters and a preset correlation coefficient threshold.

[0083] Step S303: adaptively clustering the user's electricity meters according to the traversal comparison results.

[0084] Step S304: obtaining a representative electric meter of the electric meter cluster and a representative voltage and a representative active power corresponding to the representative electric meter.

[0085] For example, the number of electric meters in the target area is defined as D, and the voltage correlation coefficient between user electric meter i and user electric meter j is defined as r ij , r ij Satisfies the following formula 3:

[0086]

[0087] Among them, u it 、u jt is the voltage value of user meter i and user meter j at sampling time t, i≠j, and i, j=1,2,…,D, t=1,2,…,T.

[0088] Based on the voltage correlation coefficient between all user meters in the target area, r ij Establish the voltage correlation coefficient matrix R, as shown in Formula 4:

[0089]

[0090] Combined with formula 4, traverse i from 1 to D and j from 1 to D, and compare the voltage correlation coefficient of meter i and meter j to be r ij With the preset correlation coefficient threshold If r ij Greater than or equal to Then the electric meter i and the electric meter j belong to the same electric meter cluster Ω z If r ij Less than Then the meter i belongs to the meter cluster Ω z , meter j does not belong to the meter cluster Ω z Through adaptive clustering, it is possible to avoid the situation where the number of clusters is too small, resulting in different-phase meters being clustered as the same phase, or too many clusters, which makes it difficult to analyze the phase sequence of each cluster, which is beneficial to improving the accuracy of the phase sequence recognition results.

[0091] Embodiment 2

[0092] Based on the above embodiments, embodiment 2 of the present invention provides a phase sequence topology identification device for a substation. The phase sequence topology identification device for a substation provided by the embodiment of the present invention can execute the phase sequence topology identification method for a substation provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0093] Figure 5It is a structural schematic diagram of a phase sequence topology identification device for a transformer area provided in Embodiment 2 of the present invention.

[0094] like Figure 5 As shown, the phase sequence topology identification device 100 of the substation includes: a feeder parameter acquisition unit 101, a tag meter parameter acquisition unit 102, a representative meter parameter acquisition unit 103, a phase sequence identification unit 104 and a phase sequence topology output unit 105.

[0095] Among them, the feeder parameter acquisition unit 101 is used to number the feeders of the target substation and obtain the voltage array and active power array of the feeders; the tag meter parameter acquisition unit 102 is used to perform feeder and phase sequence tagging processing on each user meter under the target bifurcation point in the feeder to obtain multiple tag meters, and obtain the representative tag meter and the tag meter voltage and tag meter active power of the representative tag meter; the representative meter parameter acquisition unit 103 is used to adaptively cluster other user meters in the substation except the tag meter to obtain multiple meter clustering clusters, and obtain the representative meter of the meter clustering cluster and the representative voltage and representative active power corresponding to the representative meter; the phase sequence identification unit 104 is used to establish a preset phase sequence topology identification model for the representative meter, and identify the phase sequence of the meter clustering cluster according to the preset phase sequence topology identification model, and the preset phase sequence topology identification model is established based on the loop voltage equation of the representative tag meter and the representative meter and the preset impedance stability index function; the phase sequence topology output unit 105 is used to organize and output the user meter phase sequence topology identification results.

[0096] Optionally, a preset phase sequence topology recognition model is established for the representative electric meter, and the phase sequence of the electric meter cluster cluster is identified according to the preset phase sequence topology recognition model, including: assigning values ​​to the impedance stability threshold and the traversal identifier, the traversal identifier includes the feeder identifier k, the phase sequence pointer c, the cluster identifier z and the tag electric meter identifier Based on the kth feedback line A loop voltage equation is established based on the tag meter voltage and tag meter active power of the representative tag meter of the phase, and the representative voltage and representative active power of the representative meter of the zth meter cluster; the impedance value is solved according to the loop voltage equation; the impedance value is substituted into a preset impedance stability index function to calculate the impedance stability factor; when the impedance stability factor is greater than or equal to the impedance stability threshold, the phase sequence corresponding to the phase sequence pointer c is determined as the phase sequence of the meter cluster.

[0097] Optionally, the phase sequence identification unit 104 is further used to replace the representative meter of the meter cluster with a new representative tag meter, and establish a preset phase sequence topology identification model for the representative meter of the z+1th meter cluster based on the updated tag meter voltage and tag meter active power.

[0098] Optionally, the preset impedance stability index function is a function that characterizes a discrete program of impedance values.

[0099] Optionally, obtaining the tag meter representing the tag meter and the tag meter voltage and tag meter active power of the tag meter representing the tag meter includes: traversing the kth feedback line of the target station area Each user meter under the target phase bifurcation point is labeled with feeder and phase sequence labels. Get multiple tag meters; determine the representative tag meter based on the tag meters, and the number of representative tag meters is equal to three times the total number of feeders; determine the voltage of the meter with the largest average voltage during the collection period as the tag meter voltage representing the tag meter; determine the sum of the active powers of each tag meter during the collection period as the tag meter active power representing the tag meter.

[0100] Optionally, the representative meter parameter acquisition unit 103 includes a cluster analysis subunit, which is used to establish a voltage correlation coefficient matrix between the voltages of all user meters in the target area; compare the voltage correlation coefficient between any two meters with a preset correlation coefficient threshold; and adaptively cluster the user meters based on the comparison result.

[0101] Optionally, the voltage array is an array established based on voltage parameters collected from each feedback line A phase, B phase and C phase at different collection times; the active power array is an array established based on active power parameters collected from each feedback line A phase, B phase and C phase at different collection times.

[0102] Optionally, the phase sequence topology output unit 105 is used to store the tagged meters into a meter phase sequence set according to phase sequence; store the meters whose phase sequence is identified according to a preset phase sequence topology recognition model into a meter phase sequence set according to phase sequence; and output the meter phase sequence set into a user meter phase sequence list of the target substation according to phase sequence.

[0103] Embodiment 3

[0104] Based on any of the above embodiments, embodiment three of the present invention provides an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned substation phase sequence topology identification method.

[0105] Figure 6: is a schematic diagram of the structure of an electronic device provided in Example 3 of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0106] like Figure 6 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0107] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0108] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as the phase sequence topology identification method of the substation.

[0109] In some embodiments, the phase sequence topology identification method of the substation may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the phase sequence topology identification method of the substation described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the phase sequence topology identification method of the substation in any other appropriate manner (e.g., by means of firmware).

[0110] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0111] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0112] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0113] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0114] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0115] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0116] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0117] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for identifying phase sequence topology of a transformer area, characterized in that: include: Number the feeders in the target substation area and obtain the voltage array and active power array of the feeders; Perform feeder and phase sequence labeling processing on each user meter under the target bifurcation point in the feeder to obtain multiple labeled meters, and obtain the representative labeled meter and the labeled meter voltage and the labeled meter active power of the representative labeled meter; Adaptively clustering the user meters other than the tagged meter in the area to obtain multiple meter clusters, and obtaining representative meters of the meter clusters and representative voltages and representative active power corresponding to the representative meters; Establishing a preset phase sequence topology recognition model for the representative electric meter, and identifying the phase sequence of the electric meter cluster according to the preset phase sequence topology recognition model, wherein the preset phase sequence topology recognition model is established based on the loop voltage equation between the representative tag electric meter and the representative electric meter and a preset impedance stability index function; Arrange and output the phase sequence topology identification results of user electricity meters; The method of establishing a preset phase sequence topology recognition model for the representative electric meter and identifying the phase sequence of the electric meter cluster according to the preset phase sequence topology recognition model includes: Assign values ​​to the impedance stability threshold and the traversal identifier, wherein the traversal identifier includes the feeder identifier k, the phase sequence pointer c, the cluster identifier z and the tag meter identifier Based on the kth feedback line The tag meter voltage and tag meter active power of the representative tag meter of the phase, and the representative voltage and representative active power of the representative meter of the z-th meter cluster are used to establish a loop voltage equation; Solving the impedance value according to the loop voltage equation; Substituting the impedance value into the preset impedance stability index function to calculate an impedance stability factor; When the impedance stability factor is greater than or equal to the impedance stability threshold, the phase sequence corresponding to the phase sequence pointer c is determined as the phase sequence of the electric meter cluster.

2. The method according to claim 1, characterized in that After identifying the phase sequence of the electric meter cluster according to the preset phase sequence topology identification model, the method further includes: Replacing the representative electric meter of the electric meter cluster with a new representative label electric meter; Based on the updated tagged meter voltage and tagged meter active power, a preset phase sequence topology recognition model is established for the representative meter of the z+1th meter cluster.

3. The method according to claim 1, characterized in that The preset impedance stability index function is a function that characterizes the discrete process of the impedance value.

4. The method according to claim 1, characterized in that: The method of obtaining the representative tag meter and the tag meter voltage and tag meter active power of the representative tag meter includes: Traverse the kth feedback line of the target area Each user meter under the target phase bifurcation point is labeled with feeder and phase sequence labels. Get multiple tag meters; Determine representative tag meters according to the tag meters, where the number of representative tag meters is equal to three times the total number of feeders; Determine the voltage of the tag meter with the largest average voltage during the collection period as the tag meter voltage of the representative tag meter; The sum of the active powers of the tagged meters within a collection period is determined as the tagged meter active power of the representative tagged meter.

5. The method according to claim 1, characterized in that Adaptive clustering of other user meters in the area except the tagged meters, including: Establishing a voltage correlation coefficient matrix between the voltages of all user electric meters in the target area; comparing the voltage correlation coefficient between any two electric meters with a preset correlation coefficient threshold; The user's electricity meters are adaptively clustered according to the comparison results.

6. The method according to any one of claims 1 to 5, characterized in that The voltage array is an array established based on the voltage parameters of each feedback line A phase, B phase and C phase collected at different collection times; The active power array is an array established based on active power parameters of each feedback line A phase, B phase and C phase collected at different collection times.

7. The method according to any one of claims 1 to 5, characterized in that The collating and outputting of the user meter phase sequence topology identification result includes: Storing the tag electric meters in an electric meter phase sequence set according to phase sequence; The electric meters whose phase sequences are identified according to the preset phase sequence topology identification model are stored in the electric meter phase sequence set according to the phase sequence; The meter phase sequence set is output according to the phase sequence to form a user meter phase sequence list in the target area.

8. A phase sequence topology identification device for a transformer area, characterized in that: include: A feeder parameter acquisition unit is used to number the feeders in the target substation area and obtain the voltage array and active power array of the feeders; A tag meter parameter acquisition unit, used for performing feeder and phase sequence tagging processing on each user meter under the target bifurcation point in the feeder to obtain multiple tag meters, and obtaining the tag meter voltage and tag meter active power of the representative tag meter and the representative tag meter; A representative meter parameter acquisition unit is used to adaptively cluster other user meters in the area except the tag meter to obtain multiple meter clusters, and obtain the representative meter of the meter cluster and the representative voltage and representative active power corresponding to the representative meter; A phase sequence identification unit, used to establish a preset phase sequence topology identification model for the representative electric meter, and identify the phase sequence of the electric meter cluster according to the preset phase sequence topology identification model, wherein the preset phase sequence topology identification model is established based on the loop voltage equation between the representative tag electric meter and the representative electric meter and a preset impedance stability index function; Phase sequence topology output unit, used to sort out and output the phase sequence topology identification results of the user's electric meter; The method of establishing a preset phase sequence topology recognition model for the representative electric meter and identifying the phase sequence of the electric meter cluster according to the preset phase sequence topology recognition model includes: Assign values ​​to the impedance stability threshold and the traversal identifier, wherein the traversal identifier includes the feeder identifier k, the phase sequence pointer c, the cluster identifier z and the tag meter identifier Based on the kth feedback line The tag meter voltage and tag meter active power of the representative tag meter of the phase, and the representative voltage and representative active power of the representative meter of the z-th meter cluster are used to establish a loop voltage equation; Solving the impedance value according to the loop voltage equation; Substituting the impedance value into the preset impedance stability index function to calculate an impedance stability factor; When the impedance stability factor is greater than or equal to the impedance stability threshold, the phase sequence corresponding to the phase sequence pointer c is determined as the phase sequence of the electric meter cluster.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the phase sequence topology identification method of any one of claims 1-7.

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