CN116565814A - Distribution line voltage abnormality analysis method, device, electronic equipment and storage medium - Google Patents
Distribution line voltage abnormality analysis method, device, electronic equipment and storage medium Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/22—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for distribution gear, e.g. bus-bar systems; for switching devices
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
Abstract
The invention discloses a distribution line voltage anomaly analysis method, a device, electronic equipment and a storage medium, wherein reactive power flow simulation is carried out through actual measurement voltage of nodes of a distribution line and a simulation model of the distribution line to determine a problem point set, time dimension, electric distance dimension, impedance dimension and distributed power decoupling analysis are carried out on the problem point set to determine main factor, secondary factor and non-factor state calibration of bus voltage, distributed power voltage, node power supply radius and cable diameter on voltage anomaly influence, so as to obtain a distribution line voltage anomaly analysis result.
Description
Technical Field
The invention relates to the technical field of power grid operation anomaly analysis, in particular to a distribution line voltage anomaly analysis method, a distribution line voltage anomaly analysis device, electronic equipment and a storage medium.
Background
Node voltage fluctuation and out-of-limit on the 10kV side of a distribution line are one of important reasons for causing the failure of the qualification rate of the outlet voltage on the 400V side of a distribution transformer, and are particularly obvious on the distribution line of a distributed power supply such as small hydropower with 10kV grid connection, so that the analysis of the node voltage fluctuation and out-of-limit on the 10kV side is particularly important.
At present, the factor analysis of node voltage fluctuation and out-of-limit at the 10kV side is mainly realized by constructing a coefficient matrix between node voltage of a distribution transformer area and line global voltage, then adopting a ridge regression algorithm to realize multiple linear regression model parameter estimation and feature selection, solving the magnitude of each independent variable in a relation function on global voltage influence factors, thereby determining main and secondary reasons causing voltage quality problems.
Disclosure of Invention
The invention provides a distribution line voltage abnormality analysis method, a distribution line voltage abnormality analysis device, electronic equipment and a storage medium, which are used for solving the problems of inaccurate and insufficient detailed analysis results caused by single dimension and lack of simulation in node voltage fluctuation and out-of-limit cause analysis in the prior art.
In a first aspect, the present invention provides a method for analyzing abnormal voltage of a distribution line, including:
s1, acquiring power parameters, topological relation data and actual measurement operation data of each node of a power distribution line to be analyzed, wherein the actual measurement operation data comprise actual measurement voltages of the nodes;
s2, generating a problem point set P1 according to the actual measurement voltage of the node and a preset voltage threshold;
s3, carrying out reactive power flow simulation, a voltage threshold value and a problem point set P1 based on a simulation model of a distribution line to determine a problem point set P2, wherein the simulation model is constructed based on the power parameters and the topological relation data;
s4, performing time dimension analysis on the problem point set P2 to obtain main cause, secondary cause and non-cause state calibration of bus voltage and distributed power grid-connected voltage on the voltage abnormality problem;
s5, carrying out electric distance dimension analysis on the problem point set P2 to obtain the calibration of the node power supply radius on the states of the main factor, the secondary factor and the non-factor of the voltage abnormality problem;
S6, carrying out impedance dimension analysis on the problem point set P2 to obtain the calibration of the main cause, the secondary cause and the non-cause of the abnormal voltage problem of the cable diameter;
s7, carrying out distributed power decoupling analysis on the problem point set P2, and determining whether analysis results of steps S4, S5 and S6 are consistent before and after the distributed power decoupling so as to determine the influence of the distributed power decoupling on the voltage abnormality problem;
and S8, sequencing the calibration states of the bus voltage, the distributed power supply voltage, the node power supply radius and the cable diameter to obtain a distribution line voltage abnormality analysis result.
In a second aspect, the present invention provides a distribution line voltage abnormality analysis apparatus, comprising:
the power distribution line data acquisition module is used for acquiring power parameters, topological relation data and actual measurement operation data of each node of the power distribution line to be analyzed, wherein the actual measurement operation data comprise actual measurement voltages of the nodes;
the problem point set P1 generation module is used for generating a problem point set P1 according to the actual measurement voltage of the node and a preset voltage threshold;
the problem point set P2 determining module is used for carrying out reactive power flow simulation, voltage threshold and problem point set P1 based on a simulation model of the distribution line to determine a problem point set P2, wherein the simulation model is constructed based on the power parameters and the topological relation data;
The time dimension analysis module is used for performing time dimension analysis on the problem point set P2 to obtain the state calibration of the bus voltage and the distributed power grid-connected voltage on the main cause, the secondary cause and the non-cause of the voltage abnormality problem;
the electrical distance dimension analysis module is used for carrying out electrical distance dimension analysis on the problem point set P2 to obtain the state calibration of the node power supply radius on the main cause, the secondary cause and the non-cause of the voltage abnormality problem;
the impedance dimension analysis module is used for carrying out impedance dimension analysis on the problem point set P2 to obtain the state calibration of the main factor, the secondary factor and the non-factor of the cable diameter to the voltage abnormality problem;
the distributed power supply decoupling analysis module is used for carrying out distributed power supply decoupling analysis on the problem point set P2, determining whether analysis results of the time dimension analysis module, the electric distance dimension analysis module and the impedance dimension analysis module before and after decoupling of the distributed power supply are consistent or not so as to determine the influence of the distributed power supply decoupling on the voltage abnormality problem;
and the analysis result determining module is used for sequencing the bus voltage, the distributed power supply voltage, the node power supply radius and the calibration state of the cable diameter to obtain the distribution line voltage abnormality analysis result.
In a third aspect, the present invention provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the distribution line voltage anomaly analysis method of the first aspect of the present invention.
In a fourth aspect, the present invention provides a computer readable storage medium storing computer instructions for causing a processor to implement the distribution line voltage anomaly analysis method according to the first aspect of the present invention when executed.
According to the embodiment of the invention, the reactive power flow simulation is carried out based on the actual measurement voltage of the node of the distribution line and the simulation model of the distribution line to determine the problem point set of the distribution line, the time dimension, the electric distance dimension, the impedance dimension and the distributed power supply decoupling analysis are further carried out on the problems in the problem point set, so that the main factor, the secondary factor and the non-factor of the abnormal influence of the bus voltage, the distributed power supply voltage, the node power supply radius and the cable diameter on the distribution line voltage are determined, the analysis result of the distribution line voltage abnormality is obtained, the topological relation, the electric power parameters and the actual measurement data of the distribution line are integrated, the main factor calibration is carried out on the distribution line voltage abnormality problem by combining the simulation data of the distribution line, and the problems of inaccurate and insufficient analysis result caused by single analysis dimension and lack of simulation of the conventional cause are solved, and the accuracy and the efficiency of the analysis result of the distribution line voltage abnormality cause are improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for analyzing abnormal voltage of a distribution line according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a mean and standard deviation control chart in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a distribution line voltage anomaly analysis device according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Example 1
Fig. 1 is a flowchart of a method for analyzing abnormal voltage of a distribution line according to an embodiment of the present invention, where the method may be performed by a device for analyzing abnormal voltage of a distribution line, the device may be implemented in hardware and/or software, and the device may be configured in an electronic device. As shown in fig. 1, the distribution line voltage anomaly analysis method includes:
s1, acquiring power parameters, topological relation data and actual measurement operation data of each node of a power distribution line to be analyzed, wherein the actual measurement operation data comprise actual measurement voltages of the nodes.
The distribution line to be analyzed can be a distribution line with a voltage abnormality problem, and the electric power parameters can be nameplate parameters and name number information of the line and distribution equipment. The nameplate parameter may include at least one of a wire/cable model, a wire diameter, a length, a distribution transformer model, a capacity, a wiring group, a short circuit impedance, no-load loss, and the like, and the name number information may include information such as a user number, a user name, a metering mode, a property, a line, a distribution transformer name, and the like, which are acquired through a metering automation and the like.
The topological relation data can be the upper and lower level attribution and connection relation of a transformer substation-feeder-transformer-low-voltage user in power transmission and distribution, wherein the topological relation comprises a 10kV grid-connected distributed power supply and a 10kV line transfer interconnection point.
The actually measured operation data may be electrical quantity collection data of a 10kV feeder gateway, an automatic terminal (FTU/DTU) gateway, a distribution transformer gateway and a distributed power grid-connected gateway, wherein the electrical quantity collection data comprises actually measured data such as voltage, current, active power, reactive power, power factor and the like of nodes obtained by AMI measurement, SCADA, metering automation and the like, the nodes refer to impedance discontinuous points in a distribution line, such as wire cable diameter change, branch fire connection points, distribution transformer load endpoints and the like, the average sampling precision is 96 points/day, namely, the actually measured operation data is collected once every 15 minutes to obtain actually measured operation data with a plurality of time sections.
In an alternative embodiment, after the actually measured operation data is collected, the actually measured operation data can be subjected to cleaning treatment such as de-duplication, deficiency compensation, unified dimension and the like, so that the actually measured operation data is more accurate, wherein actually measured voltage of each node in the actually measured operation data can be converted into a per unit value of a 10kV side.
S2, generating a problem point set P1 according to the actual measurement voltage of the node and a preset voltage threshold.
In this embodiment, taking voltage anomaly analysis of the distribution line at the 10kV side as an example, the voltage threshold may refer to an upper voltage limit value and a lower voltage limit value of nodes such as the head end of a 10kV feeder (10 kV busbar of a substation), the 10kV side of a distribution transformer, the 10kV grid-connected side of a distributed power supply, and the like, and in one example, the voltage threshold is as shown in the following table 1:
table 1:
| type(s) | Voltage lower limit value | Upper voltage limit |
| 10kV feeder head end | 10.2kV | 10.7kV |
| Distribution transformer 10kV side | 9.75kV | 10.7kV |
| Distributed power grid-connected side | 9.3kV | 10.7kV |
Based on the above table 1, a set of problem points may be determined by using a metering value control chart method, where the control chart is a statistical control method for measuring, recording, and evaluating a process quality characteristic value, so as to monitor whether the process is in a control state. The average value control chart and the standard deviation control chart have good control precision and high identification accuracy in the metering value control chart, as shown in fig. 2, the average value control chart and the standard deviation control chart are respectively provided with an upper control line and a lower control line, a sub-data set is formed every 15 minutes through actual measurement operation data of all the ports in S1, the average value and the standard deviation of the sub-data set are drawn in the average value control chart and the standard deviation control chart in fig. 2, and when any control chart in the average value control chart and the standard deviation control chart has a description point outside UCL (upper control line) and LCL (lower control line), the voltage abnormality in the time period is indicated, and the voltage abnormality problem can be effectively screened and disturbance data can be extracted through control of the double charts.
In one embodiment, the node is determined to exist when the measured voltage value of the node is greater than the upper voltage limit value by the control diagramGenerating an overvoltage problem point set H1 when the overvoltage problem occurs, determining that the node has a low voltage problem when the measured voltage value of the node is smaller than the voltage lower limit value, generating a low voltage problem point set L1, summarizing the overvoltage problem point set H1 and the low voltage problem point set L1 into a problem point set P0= (L1, H1), and recording P0= (t) k ，N k ，P num )，t k Indicating the time section in which the voltage problem occurs, N k Node name, P, representing the occurrence of a voltage problem num The number of times of voltage problem occurrence is represented, and abnormal value rejection is performed on the problem point set P0 to obtain a problem point set P1.
In one embodiment, the abnormal value elimination of the problem point set P0 may be to eliminate abnormal high or abnormal low voltage of the node due to metering problem, 10kV side line break fault, planned power failure, etc., where abnormal high voltage refers to actual measurement voltage of the node being greater than or equal toThe abnormal low voltage means that the measured voltage of the node is less than or equal to 0.5ue, and ue is the rated voltage.
Outlier rejection is performed on the problem point set P0 to obtain a problem point set p1= (L1, H1), and p1= (t) k ，N k ，P num )。
And S3, carrying out reactive power flow simulation, voltage threshold and problem point set P1 based on a simulation model of the distribution line to determine a problem point set P2.
In an alternative embodiment, according to the power parameters and the topology relation data, an OpenDSS software is adopted to construct a simulation model of the distribution line, reactive power flow simulation is performed based on the simulation model to obtain a simulation voltage of a node of the distribution line, a problem point set P3 is generated according to the simulation voltage of the node and a preset voltage threshold, and a union of the problem point set P3 and the problem point set P1 is taken to obtain a problem point set P2.
Specifically, after the simulation voltage of each node of the distribution line is obtained by the simulation, a problem point set P3 may be generated by referring to step S2, and a union set may be calculated for the problem point set P3 and the problem point set P1, where, for the same node in the problem point set P3 and the problem point set P1, the data in the problem point set P1 is used as reference, so that the obtained problem point set P2 is more perfect and comprehensive by taking the simulation as the supplement of actual measurement.
S4, performing time dimension analysis on the problem point set P2 to obtain main cause, secondary cause and non-cause state calibration of bus voltage and distributed power grid-connected voltage on the voltage abnormality problem.
In one embodiment, the problem point set p2= (t k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group, and the element P in the low-voltage problem group and the high-voltage problem group is treated by the method k According to the time section t k Performing homonymy alignment to obtain a same time section t k Total number of voltage problems S k ＝Σp num To generate a time sequence problem point set T f ＝(T 1 ,T 2 ,T 3 ...T k ...T n ) Wherein T is k ＝(t k ,S k ) Acquiring bus time sequence voltage T Ub And a distributed power supply timing voltage T Ud Wherein T is Ub ＝(T Ub1 ,T Ub2 ,T Ub3 ...T Ubk ...T Ubn )，T Ubk ＝(t k ,U bk )，T Ud ＝(T Ud1 ,T Ud2 ,T Ud3 ...T Udk ...T Udn )，T Udk ＝(t k ,U dk )，U bk For a time section t k Bus voltage at time, U dk For a time section t k The grid-connected voltage of the distributed power supply at the time is calculated to be a time sequence problem point set T through the following formula f With bus time sequence voltage T Ub Pearson correlation coefficient rU of (2) b ：
In the above formula, U bi Bus voltage of ith time section, S i For the total number of voltage problems occurring at the ith time section,for the desired value of the bus voltage, +.>Is the expected value of the number of voltage problems.
Calculating a time sequence problem point set T by the following formula f And distributed power supply timing voltage T Ud Pearson correlation coefficient rU of (2) d ；
In the above formula, U di Grid-connected voltage for i-th time section distributed power supply, S i For the total number of voltage problems occurring at the ith time section,for the desired value of the grid-connected voltage of the distributed power supply, < >>Is the expected value of the number of voltage problems.
In calculating the pearson correlation coefficient rU b And pearson correlation coefficient rU d After that, the method can be based on the Pearson correlation coefficient rU b Pearson correlation coefficient rU d And determining main cause, secondary cause and non-cause state calibration of bus voltage and distributed power grid-connected voltage on the voltage abnormality problem by the coefficient threshold, wherein the specific calibration mode is shown in the following table 2:
table 2:
from Table 2 above, the pearson correlation coefficient rU can be calculated b Pearson correlation coefficient rU d And coefficient threshold determining main cause, secondary cause and non-cause state calibration of bus voltage and distributed power grid-connected voltage to voltage abnormality problem, for example, if time section t k Bus voltage U at the time bk Below the lower voltage limit, pearson correlation coefficient rU b When the voltage is negative and the absolute value is greater than or equal to 0.7, the influence of the bus voltage on the voltage abnormality is determined as a main factor, and other cases are analogized according to table 2.
S5, carrying out electric distance dimension analysis on the problem point set P2 to obtain the state calibration of the node power supply radius on the main cause, the secondary cause and the non-cause of the voltage abnormality problem.
In one embodiment, each node N may be determined k Electrical distance l from the feed line head end k Form an electric distance set L k ＝(N k ，l k ) Problem point set p2= (t k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group, and the element P in the low-voltage problem group and the high-voltage problem group is treated by the method k According to the node name N k Performing homography alignment to obtain the same node N k Total number of voltage problems S k ＝Σp num To generate a set of problem points C ordered by node name f ＝(C 1 ,C 2 ,C 3 ...C k ...C n ) Wherein C k ＝(N k ,S k ) Calculate the electrical distance set L k And problem point set C f And determining the state calibration of the main factor, the secondary factor and the non-factor of the node power supply radius to the voltage abnormality problem according to the Pearson correlation coefficient rl and the coefficient threshold.
Wherein the electrical distance set L is calculated by the following formula k And problem point set C f Pearson correlation coefficient rl:
in the above formula, l i For the electrical distance of the ith node, S i For the total number of voltage problems that occur at the ith node,is the desired value of the electrical distance, < >>Is the expected value of the number of voltage problems.
The main factor, the secondary factor and the non-factor state calibration of the node power supply radius to the voltage abnormality problem are determined according to the following table 3:
table 3:
exemplary, if node N k When the bus voltage of the node is lower than the lower limit voltage, and the pearson correlation coefficient rl is positive and the absolute value is greater than or equal to 0.7 and smaller than or equal to 1, the influence of the node power supply radius on the voltage abnormality of the node is determined as a main factor, and other cases are analogized according to table 3.
S6, carrying out impedance dimension analysis on the problem point set P2 to obtain the state calibration of the main cause, the secondary cause and the non-cause of the cable diameter to the voltage abnormality problem.
In one embodiment, when reactive power flow simulation can be performed through a simulation model, determining the equivalent impedance z of a line between a node and a power supply point of each node in reactive power flow k Form an equivalent impedance set Z k ＝(N k ，z k ) Problem point set p2= (t k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group, and the element P in the low-voltage problem group and the high-voltage problem group is treated by the method k According to the node name N k Performing homography alignment to obtain the same node N k Total number of voltage problems S k ＝Σp num To generate a set of problem points ordered by node nameC f ＝(C 1 ,C 2 ,C 3 ...C k ...C n ) Wherein C k ＝(N k ,S k ) Calculate the equivalent impedance set Z k And problem point set C f And determining the state calibration of the main factor, the secondary factor and the non-factor of the cable diameter to the voltage abnormality problem according to the Pearson correlation coefficient rz and the coefficient threshold.
Wherein the equivalent impedance set Z can be calculated by the following formula k And problem point set C f Pearson correlation coefficient rz:
in the above formula, z i Is the equivalent impedance of the ith node, S i For the total number of voltage problems that occur at the ith node, Is the expected value of the equivalent impedance +.>Is the expected value of the number of voltage problems.
The main cause, secondary cause and non-cause state calibration of the cable diameter to the voltage abnormality problem is determined through the following table 4:
table 4:
exemplary, if node N k When the bus voltage of the cable is lower than the lower limit voltage, the pearson correlation coefficient rz is positive and the absolute value is larger than or equal to 0.7 and smaller than or equal to 1, the voltage difference of the cable diameter to the node is determinedThe usual effect is the main cause, and the other cases are analogized according to Table 4.
S7, carrying out distributed power decoupling analysis on the problem point set P2, and determining whether analysis results of steps S4, S5 and S6 are consistent before and after the distributed power decoupling so as to determine the influence of the distributed power decoupling on the voltage abnormality problem.
Optionally, reactive power flow simulation can be performed after the distributed power supply is decoupled in the simulation model, so as to obtain simulation voltages of all nodes after the distributed power supply is off-grid, and the steps S4, S5 and S6 are re-executed through the simulation voltages of all nodes after the distributed power supply is off-grid, so as to obtain the main cause, the secondary cause and the non-cause of the abnormal voltage problem caused by the bus voltage, the distributed power supply grid-connected voltage, the node power supply radius and the main cause, the secondary cause and the non-cause of the abnormal voltage problem caused by the distributed power supply grid-connected voltage, and determine the influence of the distributed power supply on the abnormal voltage problem caused by the grid-connected voltage.
Specifically, the simulation model of the distribution line is adjusted so as to enable the distributed power supply to be off-grid in the simulation model, reactive power flow simulation is then carried out to obtain simulation voltages of all nodes, steps S4, S5 and S6 are re-executed to obtain main factor, secondary factor and non-factor calibration of the bus voltage, the distributed power supply grid-connected voltage, the node power supply radius and the cable diameter on the voltage abnormality problem, whether the calibration states of the distributed power supply before off-grid and after off-grid are consistent is judged, if so, the distributed power supply is determined to have no influence on node voltage abnormality, otherwise, the distributed power supply is determined to have influence, and the method is specifically shown in the following table 5:
table 5:
and S8, sequencing the calibration states of the busbar voltage, the distributed power supply, the node power supply radius and the cable diameter to obtain a distribution line voltage abnormality analysis result.
Specifically, the causes at the time of voltage abnormality of each node may be ranked in order of ranking of the main cause, the secondary cause, and the non-cause, or the nodes whose main cause is the bus voltage may be ranked, etc., so as to obtain the distribution line voltage abnormality analysis result, and the ranking manner is not limited in this embodiment.
According to the embodiment of the invention, the reactive power flow simulation is carried out based on the actual measurement voltage of the node of the distribution line and the simulation model of the distribution line to determine the problem point set of the distribution line, the time dimension, the electric distance dimension, the impedance dimension and the distributed power supply decoupling analysis are further carried out on the problems in the problem point set, so that the main factor, the secondary factor and the non-factor of the abnormal influence of the bus voltage, the distributed power supply voltage, the node power supply radius and the cable diameter on the distribution line voltage are determined, the analysis result of the distribution line voltage abnormality is obtained, the topological relation, the electric power parameters and the actual measurement data of the distribution line are integrated, the main factor calibration is carried out on the distribution line voltage abnormality problem by combining the simulation data of the distribution line, and the problems of inaccurate and insufficient analysis result caused by single analysis dimension and lack of simulation of the conventional cause are solved, and the accuracy and the efficiency of the analysis result of the distribution line voltage abnormality cause are improved.
Example III
Fig. 3 is a schematic structural diagram of a distribution line voltage anomaly analysis device according to a third embodiment of the present invention. As shown in fig. 3, the distribution line voltage abnormality analysis device includes:
the distribution line data acquisition module 301 is configured to acquire power parameters, topology relationship data, and actual measurement operation data of each node of a distribution line to be analyzed, where the actual measurement operation data includes actual measurement voltages of the nodes;
the problem point set P1 generating module 302 is configured to generate a problem point set P1 according to the measured voltage of the node and a preset voltage threshold;
the problem point set P2 determining module 303 is configured to perform reactive power flow simulation, a voltage threshold, and a problem point set P1 based on a simulation model of the distribution line to determine a problem point set P2, where the simulation model is constructed based on the power parameter and the topology relationship data;
the time dimension analysis module 304 is configured to perform time dimension analysis on the problem point set P2 to obtain a main cause, a secondary cause, and a non-cause of the voltage abnormality problem caused by the bus voltage and the distributed power grid-connected voltage;
the electrical distance dimension analysis module 305 is configured to perform electrical distance dimension analysis on the problem point set P2, and obtain state calibration of the node power supply radius on the main cause, the secondary cause and the non-cause of the voltage abnormality problem;
The impedance dimension analysis module 306 is configured to perform impedance dimension analysis on the problem point set P2, so as to obtain calibration of states of main cause, secondary cause and non-cause of the cable path to the voltage abnormality problem;
the distributed power supply decoupling analysis module 307 is configured to perform distributed power supply decoupling analysis on the problem point set P2, determine whether analysis results of the time dimension analysis module, the electric distance dimension analysis module, and the impedance dimension analysis module before and after decoupling of the distributed power supply are consistent, and determine an influence of the distributed power supply decoupling on the voltage abnormality problem;
the analysis result determining module 308 is configured to sort the bus voltage, the distributed power supply voltage, the node power supply radius, and the calibration state of the cable diameter, so as to obtain an abnormal analysis result of the distribution line voltage.
Optionally, the problem point set P1 generating module 302 includes:
a voltage threshold determining unit for determining an upper voltage limit value and a lower voltage limit value of each node;
the overvoltage problem point set generating unit is used for determining that the node has an overvoltage problem when the measured voltage value of the node is larger than the upper voltage limit value and generating an overvoltage problem point set H1;
the low-voltage problem point set generating unit is used for determining that the node has a low-voltage problem when the measured voltage value of the node is smaller than the voltage lower limit value and generating a low-voltage problem point set L1;
A problem summarizing unit for summarizing the overvoltage problem point set H1 and the low-voltage problem point set L1 into a problem point set p0= (L1, H1), and recording p0= (t) k ，N k ，P num )，t k Indicating the time section in which the voltage problem occurs, N k Node name, P, representing the occurrence of a voltage problem num Indicating the number of times a voltage problem occurs;
and the outlier removing unit is used for removing outliers from the problem point set P0 to obtain a problem point set P1.
Optionally, the problem point set P2 determining module 303 includes:
the simulation model construction unit is used for constructing a simulation model of the distribution line by adopting OpenDSS software according to the power parameters and the topological relation;
the simulation unit is used for carrying out reactive power flow simulation based on the simulation model to obtain the simulation voltage of the node of the distribution line;
the problem point set P3 generating unit is used for generating a problem point set P3 according to the simulation voltage of the node and a preset voltage threshold;
and the problem point set merging unit is used for taking the union set of the problem point set P3 and the problem point set P1 to obtain a problem point set P2.
Optionally, the time dimension analysis module 304 includes:
a problem grouping unit configured to group the problem points p2= (t) k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group;
A time sequence problem point set generating unit for generating a time sequence problem point set for the element P in the low-voltage problem group and the high-voltage problem group k According to the time section t k Performing homonymy alignment to obtain a same time section t k Total number of voltage problems S k ＝Σp num To generate a time sequence problem point set T f ＝(T 1 ,T 2 ,T 3 ...T k ...T n ) Wherein T is k ＝(t k ,S k )；
A time sequence voltage acquisition unit for acquiring bus time sequence voltage T Ub And a distributed power supply timing voltage T Ud Wherein T is Ub ＝(T Ub1 ,T Ub2 ,T Ub3 ...T Ubk ...T Ubn )，T Ubk ＝(t k ,U bk )，T Ud ＝(T Ud1 ,T Ud2 ,T Ud3 ...T Udk ...T Udn )，T Udk ＝(t k ,U dk )，U bk For a time section t k Bus voltage at time, U dk For a time section t k Grid-connected voltage of the distributed power supply;
pearson correlation coefficient rU b A calculation unit for calculating the time sequence problem point set T f With bus time sequence voltage T Ub Pearson correlation coefficient rU of (2) b ；
Pearson correlation coefficient rU d A calculation unit for calculating the time sequence problem point set T f With bus time sequence voltage T Ud Pearson correlation coefficient rU of (2) d ；
A first state calibration unit for calibrating the first state according to the Pearson correlation coefficient rU b Pearson correlation coefficient rU d And determining the main factor, the secondary factor and the non-factor of the voltage abnormality problem by the bus voltage and the distributed power grid-connected voltage through the coefficient threshold value.
Optionally, the electrical distance dimension analysis module 305 includes:
an electrical distance set determining unit for determining each node N k Electrical distance l from the feed line head end k Form an electric distance set L k ＝(N k ，l k )；
A problem grouping unit configured to group the problem points p2= (t) k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group;
node name problem point set generating unit for generating element P in low-voltage problem group and high-voltage problem group k According to the sectionPoint name N k Performing homography alignment to obtain the same node N k Total number of voltage problems S k ＝Σp num To generate a set of problem points C ordered by node name f ＝(C 1 ,C 2 ,C 3 ...C k ...C n ) Wherein C k ＝(N k ,S k )；
A pearson correlation coefficient rl calculating unit for calculating an electric distance set L k And problem point set C f Pearson correlation coefficient rl;
and the second state calibration unit is used for determining the state calibration of the main factor, the secondary factor and the non-factor of the node power supply radius to the voltage abnormality problem according to the Pearson correlation coefficient rl and the coefficient threshold value.
Optionally, the impedance dimension analysis module 306 includes:
an equivalent impedance set determining unit for determining the equivalent impedance z of the line between the node and the power supply point when each node is reactive power flow k Form an equivalent impedance set Z k ＝(N k ，z k )；
A problem grouping unit configured to group the problem points p2= (t) k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group;
Node name problem point set generating unit for generating element P in low-voltage problem group and high-voltage problem group k According to the node name N k Performing homography alignment to obtain the same node N k Total number of voltage problems S k ＝Σp num To generate a set of problem points C ordered by node name f ＝(C 1 ,C 2 ,C 3 ...C k ...C n ) Wherein C k ＝(N k ,S k )；
A pearson correlation coefficient rz calculation unit for calculating an equivalent impedance set Z k And problem point set C f Is a pearson correlation coefficient rz;
and the third state calibration unit is used for determining the main factor, the secondary factor and the non-factor of the cable diameter to the voltage abnormality problem according to the Pearson correlation coefficient rz and the coefficient threshold value.
Optionally, the distributed power decoupling analysis module 307 includes:
the decoupling simulation unit is used for performing reactive power flow simulation after decoupling the distributed power supply in the simulation model to obtain simulation voltages of all nodes after the distributed power supply is off-grid;
executing the time dimension analysis module 304, the electric distance dimension analysis module 305 and the impedance dimension analysis module 306 again through the simulation voltage of each node after the distributed power supply is off-grid to obtain the main cause, the secondary cause and the non-cause state calibration of the bus voltage, the distributed power supply grid-connected voltage, the node power supply radius and the cable diameter to the voltage abnormality problem after the distributed power supply is off-grid;
The consistency judging unit is used for determining the influence of the distributed power supply on the voltage abnormality problem through consistency of state calibration of main cause, secondary cause and non-cause of the voltage abnormality problem by the bus voltage before and after the distributed power supply is off-grid, the grid-connected voltage of the distributed power supply, the power supply radius of the node and the cable diameter.
The distribution line voltage abnormality analysis device provided by the embodiment of the invention can execute the distribution line voltage abnormality analysis method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 shows a schematic diagram of an electronic device 40 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, etc., in which the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from the storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 may also be stored. The processor 41, the ROM 42 and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.
Various components in electronic device 40 are connected to I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 41 may be various general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 41 performs the various methods and processes described above, such as the distribution line voltage anomaly analysis method.
In some embodiments, the distribution line voltage anomaly analysis method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the distribution line voltage anomaly analysis method described above may be performed. Alternatively, in other embodiments, the processor 41 may be configured to perform the distribution line voltage anomaly analysis method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out 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, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can 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 a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, 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, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for analyzing a distribution line voltage anomaly, comprising:
s1, acquiring power parameters, topological relation data and actual measurement operation data of each node of a power distribution line to be analyzed, wherein the actual measurement operation data comprise actual measurement voltages of the nodes;
s2, generating a problem point set P1 according to the actual measurement voltage of the node and a preset voltage threshold;
s3, carrying out reactive power flow simulation, a voltage threshold value and a problem point set P1 based on a simulation model of a distribution line to determine a problem point set P2, wherein the simulation model is constructed based on the power parameters and the topological relation data;
S4, performing time dimension analysis on the problem point set P2 to obtain main cause, secondary cause and non-cause state calibration of bus voltage and distributed power grid-connected voltage on the voltage abnormality problem;
s5, carrying out electric distance dimension analysis on the problem point set P2 to obtain the calibration of the node power supply radius on the states of the main factor, the secondary factor and the non-factor of the voltage abnormality problem;
s6, carrying out impedance dimension analysis on the problem point set P2 to obtain the calibration of the main cause, the secondary cause and the non-cause of the abnormal voltage problem of the cable diameter;
s7, carrying out distributed power decoupling analysis on the problem point set P2, and determining whether analysis results of steps S4, S5 and S6 are consistent before and after the distributed power decoupling so as to determine the influence of the distributed power decoupling on the voltage abnormality problem;
and S8, sequencing the calibration states of the bus voltage, the distributed power grid-connected voltage, the node power supply radius and the cable diameter to obtain a distribution line voltage abnormality analysis result.
2. The method for analyzing abnormal voltage of distribution line according to claim 1, wherein the generating the problem point set P1 according to the measured voltage of the node and the preset voltage threshold value comprises:
determining the upper voltage limit value and the lower voltage limit value of each node;
When the measured voltage value of the node is larger than the upper voltage limit value, determining that the node has an overvoltage problem, and generating an overvoltage problem point set H1;
when the measured voltage value of the node is smaller than the voltage lower limit value, determining that the node has a low-voltage problem, and generating a low-voltage problem point set L1;
summarizing the overvoltage problem point set H1 and the low-voltage problem point set L1 into a problem point set P0= (L1, H1), and recording P0= (t) k ，N k ，P num )，t k Indicating the time section in which the voltage problem occurs, N k Node name, P, representing the occurrence of a voltage problem num Indicating the number of times a voltage problem occurs;
and removing abnormal values from the problem point set P0 to obtain a problem point set P1.
3. The method for analyzing abnormal voltage of distribution line according to claim 1, wherein the step of performing reactive power flow simulation, voltage threshold and problem point set P1 based on the simulation model of distribution line to determine problem point set P2 comprises:
according to the power parameters and the topological relation data, an OpenDSS software is adopted to construct a simulation model of the distribution line;
carrying out reactive power flow simulation based on the simulation model to obtain simulation voltage of nodes of the distribution line;
generating a problem point set P3 according to the simulation voltage of the node and a preset voltage threshold;
And taking the union set of the problem point set P3 and the problem point set P1 to obtain a problem point set P2.
4. The method for analyzing abnormal voltage of distribution line according to claim 1, wherein the step of performing time dimension analysis on the problem point set P2 to obtain the calibration of the main cause, the secondary cause and the non-cause of the bus voltage and the distributed power grid-connected voltage on the abnormal voltage problem comprises the following steps:
the problem point set p2= (t k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group;
for element P in low-voltage problem group and high-voltage problem group k According to the time section t k Performing homonymy alignment to obtain a same time section t k Total number of voltage problems S k ＝Σp num To generate a time sequence problem point set T f ＝(T 1 ,T 2 ,T 3 ...T k ...T n ) Wherein T is k ＝(t k ,S k )；
Acquiring bus time sequence voltage T Ub And a distributed power supply timing voltage T Ud Wherein T is Ub ＝(T Ub1 ,T Ub2 ,T Ub3 ...T Ubk ...T Ubn )，T Ubk ＝(t k ,U bk )，T Ud ＝(T Ud1 ,T Ud2 ,T Ud3 ...T Udk ...T Udn )，T Udk ＝(t k ,U dk )，U bk For a time section t k Bus voltage at time, U dk For a time section t k Grid-connected voltage of the distributed power supply;
calculating the time sequence problem point set T f With bus time sequence voltage T Ub Pearson correlation coefficient rU of (2) b ；
Calculating the time sequence problem point set T f With bus time sequence voltage T Ud Pearson correlation coefficient rU of (2) d ；
According to the pearson correlation coefficient rU b Pearson correlation coefficient rU d And determining the main factor, the secondary factor and the non-factor of the voltage abnormality problem by the bus voltage and the distributed power grid-connected voltage through the coefficient threshold value.
5. The method for analyzing abnormal voltage of distribution line according to claim 1, wherein the step of performing electrical distance dimension analysis on the problem point set P2 to obtain the state calibration of the node power supply radius on the main factor, the secondary factor and the non-factor of the abnormal voltage problem comprises the following steps:
determining each node N k Electrical distance l from the feed line head end k Form an electric distance set L k ＝(N k ，l k )；
The problem point set p2= (t k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group;
for element P in low-voltage problem group and high-voltage problem group k According to the node name N k Performing homography alignment to obtain the same node N k Total number of voltage problems S k ＝Σp num To generate a set of problem points C ordered by node name f ＝(C 1 ,C 2 ,C 3 ...C k ...C n ) Wherein C k ＝(N k ,S k )；
Calculating an electrical distance set L k And problem point set C f Pearson correlation coefficient rl;
and determining the main factor, the secondary factor and the non-factor of the node power supply radius to the voltage abnormality problem according to the Pearson correlation coefficient rl and the coefficient threshold value.
6. The method for analyzing abnormal voltage of distribution line according to claim 1, wherein the step of performing impedance dimension analysis on the problem point set P2 to obtain the calibration of the states of main cause, secondary cause and non-cause of the abnormal voltage problem by the cable path comprises the steps of:
Determining the line equivalent impedance z between the node and the power supply point of each node in reactive power flow k Form an equivalent impedance set Z k ＝(N k ，z k )；
The problem point set p2= (t k ，N k ，P num ) The problems in (1) are divided into a low-voltage problem group and a high-voltage problem group;
for element P in low-voltage problem group and high-voltage problem group k According to the node name N k Performing homography alignment to obtain the same node N k Total number of voltage problems S k ＝Σp num To generate a set of problem points C ordered by node name f ＝(C 1 ,C 2 ,C 3 ...C k ...C n ) Wherein C k ＝(N k ,S k )；
Calculate the equivalent impedance set Z k And problem point set C f Is a pearson correlation coefficient rz;
and determining the main factor, the secondary factor and the non-factor state calibration of the cable diameter to the voltage abnormality problem according to the Pearson correlation coefficient rz and the coefficient threshold.
7. The method for analyzing abnormal voltage of distribution line according to claim 1, wherein the step of performing distributed power decoupling analysis on the problem point set P2 to determine whether the analysis results of steps S4, S5, S6 before and after the distributed power decoupling are consistent, includes:
decoupling the distributed power supply in the simulation model and then carrying out reactive power flow simulation to obtain simulation voltages of all nodes after the distributed power supply is off-grid;
s4, S5 and S6 are re-executed through the simulation voltage of each node after the distributed power supply is off-grid, so that the state calibration of the main cause, the secondary cause and the non-cause of the bus voltage, the distributed power supply grid-connected voltage, the node power supply radius and the cable diameter to the voltage abnormality problem after the distributed power supply is off-grid is obtained;
And determining the influence of the distributed power supply on the voltage abnormality problem through the consistency of the state calibration of the main factor, the secondary factor and the non-factor of the voltage abnormality problem caused by the distributed power supply before and after the grid-off, the grid-connected voltage of the distributed power supply, the power supply radius of the node and the cable diameter.
8. A distribution line voltage anomaly analysis device, comprising:
the power distribution line data acquisition module is used for acquiring power parameters, topological relation data and actual measurement operation data of each node of the power distribution line to be analyzed, wherein the actual measurement operation data comprise actual measurement voltages of the nodes;
the problem point set P1 generation module is used for generating a problem point set P1 according to the actual measurement voltage of the node and a preset voltage threshold;
the problem point set P2 determining module is used for carrying out reactive power flow simulation, voltage threshold and problem point set P1 based on a simulation model of the distribution line to determine a problem point set P2, wherein the simulation model is constructed based on the power parameters and the topological relation data;
the time dimension analysis module is used for performing time dimension analysis on the problem point set P2 to obtain the state calibration of the bus voltage and the distributed power grid-connected voltage on the main cause, the secondary cause and the non-cause of the voltage abnormality problem;
The electrical distance dimension analysis module is used for carrying out electrical distance dimension analysis on the problem point set P2 to obtain the state calibration of the node power supply radius on the main cause, the secondary cause and the non-cause of the voltage abnormality problem;
the impedance dimension analysis module is used for carrying out impedance dimension analysis on the problem point set P2 to obtain the state calibration of the main factor, the secondary factor and the non-factor of the cable diameter to the voltage abnormality problem;
the distributed power supply decoupling analysis module is used for carrying out distributed power supply decoupling analysis on the problem point set P2, determining whether analysis results of the time dimension analysis module, the electric distance dimension analysis module and the impedance dimension analysis module before and after decoupling of the distributed power supply are consistent or not so as to determine the influence of the distributed power supply decoupling on the voltage abnormality problem;
and the analysis result determining module is used for sequencing the bus voltage, the distributed power supply voltage, the node power supply radius and the calibration state of the cable diameter to obtain the distribution line voltage abnormality analysis result.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the distribution line voltage anomaly analysis method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the distribution line voltage anomaly analysis method of any one of claims 1-7.
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