CN113469488B - Online diagnosis and analysis system for topological structure of power distribution network equipment - Google Patents
Online diagnosis and analysis system for topological structure of power distribution network equipment Download PDFInfo
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Abstract
The invention provides an online diagnosis and analysis system for a topological structure of power distribution network equipment, and belongs to the technical field of operation and maintenance of power distribution networks. The method comprises the following steps: the power supply point automatic identification module is used for identifying the users corresponding to the intervals according to the total similarity value and identifying the intervals corresponding to the users according to the total similarity value, so that the verification work of the distribution network line transformation relation can be automated, and the bidirectional tracing of the main network power supply point and the users is realized; the user load reversing behavior monitoring module timely masters the abnormity of the line-to-room relation of the high (middle) pressure side and the line-to-room relation of the low pressure side caused by the reversing of the user load, ensures the consistency of the system hanging relation and the site, and effectively solves the problem that the system data is inconsistent with the site caused by the adjustment of the internal load of the user for a long time.
Description
Technical Field
The invention relates to the technical field of operation and maintenance of power distribution networks, in particular to an online diagnosis and analysis system for a topological structure of power distribution network equipment.
Background
With the construction of strong smart grids and power internet of things, the popularization coverage of various smart meters and smart terminals, the popularization of an HPLC carrier collection mode, the investment of new equipment and new technologies such as the trial application of a station area intelligent sensing terminal and the like, the automation, informatization and digitization levels of power utilization information collection of a power distribution station area are further improved, and the calculation precision of the line loss rate of the station area is improved.
The line loss is a core economic and technical index for measuring power supply enterprises and reflects the comprehensive management level of electric power. When the hooking relation of a 'line-transformer' in a power grid GIS system is inconsistent with that in an actual field, the synchronous line loss of 10kV branching lines cannot reach the standard and is slowly managed, and line loss statistics cannot truly reflect the operation condition, so that the verification of the variable relation of the distribution network lines is a necessary step for improving the lean management of the line loss. The traditional scheme for checking the variable relation of the distribution network line is manual checking, the corresponding relation between the 10kV line and a client, on-site meter reading and the actual influence of the running modes of a high-voltage distribution room and a low-voltage distribution room of a community on line loss need to be checked one by one, the workload is huge, the time and the labor are consumed, and the instantaneity is difficult to guarantee.
Disclosure of Invention
In view of this, the invention provides an online diagnosis and analysis system for a topological structure of a power distribution network device, which can automate the verification work of the distribution network line transformation relation and realize the bidirectional tracing of a main network power supply point and a user; the method can timely know the relation abnormity of the high-voltage side line-to-user relation and the low-voltage side line-to-user relation caused by the load reversal of the user, and effectively solves the problem that the system data is inconsistent with the site caused by the internal load adjustment of the user for a long time.
The technical scheme adopted by the embodiment of the invention for solving the technical problem is as follows:
distribution network equipment topological structure on-line diagnosis analytic system includes:
the power supply point automatic identification module is used for identifying a user corresponding to the interval according to a total similarity value and identifying the interval corresponding to the user according to the total similarity value, wherein the total similarity value is obtained by calculation according to an interval outgoing line parameter and a user high-voltage incoming line parameter;
the user load shedding behavior monitoring module is used for analyzing the user load shedding behavior according to the working state of the main transformer and the standby transformer of the user; and when the load shedding behavior occurs, generating early warning information and reporting the early warning information to the system so as to prompt managers to update the marketing platform-to-user relationship and the GIS system topological relationship in time.
Preferably, the power supply point automatic identification module includes:
the parameter acquisition unit is used for acquiring the interval outgoing parameters and the user high-voltage incoming parameters, the interval outgoing parameters comprise an outgoing line voltage curve, an outgoing line current curve and an outgoing line power curve, and the user high-voltage incoming parameters comprise an incoming line voltage curve, an incoming line current curve and an incoming line power curve;
a curve similarity calculation unit for calculating the similarity r of the voltage curve according to the outgoing line voltage curve and the incoming line voltage curve U (ii) a And the voltage curve similarity r is calculated according to the outgoing line current curve and the incoming line current curve I (ii) a And calculating power curve similarity r according to the outgoing line power curve and the incoming line power curve P ；
A total similarity value calculation unit for calculating the similarity r according to the voltage curve U The voltage curve similarity r I The power curve similarity r P The total value r of the similarity is calculated,
r＝0.2×r U +0.4×r I +0.4×r P
the selecting unit is used for selecting N users as the users corresponding to the interval according to the sequence of the total similarity value r from high to low when the users corresponding to the interval are searched;
the selecting unit is further configured to select N intervals as the intervals corresponding to the user according to a sequence from high to low of the total similarity value r when the interval corresponding to the user is searched.
Preferably, the parameter acquiring unit includes:
the acquisition unit is used for acquiring the spaced outgoing line voltage, the spaced outgoing line current and the spaced outgoing line power in the spaced outgoing line parameters from the spaced outgoing lines, wherein the acquisition frequency of the spaced outgoing line parameters is once every 15 minutes, and the spaced outgoing line voltage, the spaced outgoing line current and the spaced outgoing line power at 96 acquisition time points are obtained;
the acquisition unit is used for acquiring user incoming line voltage, user incoming line current and user incoming line power in the user high-voltage incoming line parameter parameters from a user high-voltage incoming line, and the acquisition frequency of the interval outgoing line parameters is once every 15 minutes, so that the user incoming line voltage, the user incoming line current and the user incoming line power at 96 acquisition time points are obtained;
a daily characteristic curve drawing unit, configured to draw the outgoing line voltage curve according to the interval outgoing line voltages at the 96 collection time points; the line outgoing current curve is drawn according to the interval line outgoing currents of the 96 acquisition time points; the device is also used for drawing the outgoing line power curve according to the interval outgoing line power of the 96 acquisition time points; the incoming line voltage curve is drawn according to the incoming line voltages of the users at the 96 acquisition time points; the system is also used for drawing an incoming line current curve according to the user incoming line currents of the 96 acquisition time points; and the incoming line power curve is drawn according to the user incoming line power of the 96 acquisition time points.
Preferably, the user overload behavior monitoring module includes:
the transformer information acquisition unit is used for acquiring a transformer information list of power supply sides in a primary-standby relationship with each other from the system;
the transformer parameter acquisition unit is used for acquiring high-power supply and low-power supply metering and checking tables of two transformers which are in a primary-standby relationship in the transformer information list, wherein the two transformers which are in the primary-standby relationship are a first transformer and a second transformer, and the high-power supply and low-power supply metering and checking tables acquired by the transformer parameter acquisition unit comprise a first high-power supply and low-power supply metering and checking table of the first transformer and a second high-power supply and low-power supply metering and checking table of the second transformer;
a user load shedding behavior analysis unit for calculating the first high supply and low supply according to the first high supply and low supply evaluation table and the second high supply and low supplyThe counting and checking table analyzes the user load shedding behavior; when the current value in the first high supply and low supply count check table and the current value in the second high supply and low supply count check table are simultaneously higher than the current threshold value, the analysis result of the user load shedding behavior analysis unit is that the main transformer and the standby transformer run simultaneously, and the load shedding behavior does not exist; at t i At the moment, when the current value in the first high-supply low-count examination table suddenly increases and the current value in the second high-supply low-count examination table suddenly decreases, the analysis result of the user load shedding behavior analysis unit is t i At the moment, the variable load of the second transformer is reversed to the first transformer, and the load reversing behavior occurs; or, at said t i At the moment, when the current value in the second high-power supply and low-power supply metering and checking table is constantly 0 and the current value in the first high-power supply and low-power supply metering and checking table is constantly not 0, the analysis result of the user load shedding behavior analysis unit is that a single transformer operates, and the load shedding behavior occurs;
the output unit is used for outputting the load shedding user list with the load shedding behavior;
and the early warning reporting unit is used for generating the early warning information and reporting the early warning information to a system, wherein the early warning information carries the overload user list.
Preferably, the user load shedding behavior analysis unit is configured to obtain a first current curve of the first transformer according to the current value in the first high-supply and low-supply metering and checking table, and obtain a second current curve of the second transformer according to the current value in the second high-supply and low-supply metering and checking table;
the user load shedding behavior analysis unit is also used for judging the t i An overall trend of the first current curve at the moment; the overall trend of the first current curve is at the t i When the time becomes rising, the analysis result of the user load shedding behavior analysis unit is at the t i The current value in the first high-supply low-supply test check table is suddenly increased at the moment;
the user load shedding behavior analysis unit is also used for judging the t i At the moment of time the overall trend of the second current curveA potential; the overall trend of the second current curve is at the t i When the time becomes descending, the analysis result of the user load shedding behavior analysis unit is at the t i And at the moment, the current value in the second high/low supply count check table suddenly drops.
According to the technical scheme, the power distribution network equipment topological structure on-line diagnosis analysis system provided by the embodiment of the invention can automate the verification work of the distribution network line variable relation, and realizes the two-way tracing of a main network power supply point and a user; the method can timely know the relation abnormity of the high-voltage side line-to-user relation and the low-voltage side line-to-user relation caused by the load reversal of the user, and effectively solves the problem that the system data is inconsistent with the site caused by the internal load adjustment of the user for a long time.
Drawings
Fig. 1 is a structural diagram of an online diagnosis and analysis system for a topological structure of power distribution network equipment.
FIG. 2 is a graph showing the similarity between curves according to the present invention.
Fig. 3 is a power point automatic identification interface diagram of the present invention.
Fig. 4 is a first load reversing current curve diagram of the main-standby transformer according to the present invention.
Fig. 5 is a second inverse load current curve diagram of the main-standby transformer according to the present invention.
Fig. 6 is a third inverse load current curve diagram of the main-standby transformer according to the present invention.
FIG. 7 is a user analysis interface diagram for load shedding behavior in accordance with the present invention.
Detailed Description
The technical scheme and the technical effect of the invention are further elaborated in the following by combining the drawings of the invention.
In order to expand loss reduction space, improve loss reduction benefits and control daily line loss electric quantity to the maximum extent, the embodiment of the invention improves the two aspects of automatic power supply point identification and user reversed load analysis to improve the marketing and distribution work efficiency, and realizes data modeling analysis on various electrical operation parameters of marketing PMS and marketing electricity utilization information acquisition by acquiring and accessing data of a PMS system on a power grid production side and a power utilization acquisition system on a marketing side and displaying the data in a visual mode.
As shown in fig. 1, an embodiment of the present invention provides an online diagnosis and analysis system for a topology structure of power distribution network equipment, including a power point automatic identification module 11 and a user overload behavior monitoring module 12.
In each professional system of the power grid, the name of a marketing system user is determined according to a user registration name, the name of a scheduling professional power supply point is named according to the actual name of a user after a production professional site is surveyed, the name is simplified for convenience of signal monitoring and ordering, so that the name of the marketing system user and the name of a distribution automation system cannot be matched in a one-to-one correspondence mode, in the process of marketing and distribution data checking, a producer cannot accurately position a corresponding user of the marketing system through an interval name of the distribution automation system, a marketing worker cannot accurately find a production side power supply point through the name of the user, particularly for an urban area with high cable coverage rate, the topological connection condition of the user cannot be confirmed visually, the topological connection condition of the user can not be confirmed generally through means such as user contract searching, personnel experience analysis or cable tracker detection, and the like, and the working efficiency and the accuracy cannot be guaranteed.
In the embodiment of the present invention, the power point automatic identification module 11 is configured to identify a user corresponding to the interval according to the total similarity value, and identify the interval corresponding to the user according to the total similarity value, so as to implement bidirectional tracing between the main network power point and the user. The total similarity value is obtained by calculating the similarity of the current curve, the voltage curve and the power curve, the similarity of the two curves is calculated by simple correlation coefficients, and the voltage curve, the current curve and the power curve of a power supply point and a user are highly consistent in the same time period (such as one hour and the same day).
Specifically, the power supply point automatic identification module 11 realizes the identification corresponding operation through the parameter obtaining unit 111, the curve similarity calculation unit 112, the total similarity calculation unit 113, and the selection unit 114:
the parameter acquiring unit 111 is configured to acquire an interval outgoing line parameter and a user high-voltage incoming line parameter, where the interval outgoing line parameter includes an outgoing line voltage curve, an outgoing line current curve and an outgoing line power curve, and the user high-voltage incoming line parameter includes an incoming line voltage curve, an incoming line current curve and an incoming line power curve;
a curve similarity calculation unit 112 for calculating a voltage curve similarity r according to the outgoing line voltage curve and the incoming line voltage curve U (ii) a And is also used for calculating the similarity r of the voltage curve according to the outgoing line current curve and the incoming line current curve I (ii) a And is also used for calculating the similarity r of the power curve according to the outgoing line power curve and the incoming line power curve P 。r I 、r U 、r P All adopt formula (1):
degree of similarity r i The absolute value of (a) is between 0 and 1, and the larger the value, the stronger the correlation between the two curves. As shown in fig. 2, curve Y 1 Similarity to the curve Y is r 1 Curve Y 2 Similarity to curve Y is r 2 。
A total similarity value calculating unit 113 for calculating the similarity r according to the voltage curve U Voltage curve similarity r I Power curve similarity r P The total value r of the similarity is calculated,
r＝0.2×r U +0.4×r I +0.4×r P (2)
the selecting unit 114 is configured to select N users as the users corresponding to the interval according to a sequence from high to low of the total similarity value r when searching for the users corresponding to the interval; and when the interval corresponding to the user is searched, the N intervals are selected as the intervals corresponding to the user according to the sequence of the total similarity value r from high to low.
Specifically, the parameter obtaining unit 111 obtains each curve parameter for calculating the total similarity value through the collecting unit 115 and the daily characteristic curve drawing unit 116:
the acquisition unit 115 is used for acquiring the interval outgoing line voltage, the interval outgoing line current and the interval outgoing line power in the interval outgoing line parameters from the interval outgoing line, wherein the acquisition frequency of the interval outgoing line parameters is once every 15 minutes, and the interval outgoing line voltage, the interval outgoing line current and the interval outgoing line power at 96 acquisition time points are obtained;
the acquisition unit 115 is used for acquiring user incoming line voltage, user incoming line current and user incoming line power in user high-voltage incoming line parameter parameters from a user high-voltage incoming line, wherein the acquisition frequency of interval outgoing line parameters is once every 15 minutes, and the user incoming line voltage, the user incoming line current and the user incoming line power at 96 acquisition time points are obtained;
a daily characteristic curve drawing unit 116, configured to draw a line voltage curve according to the line voltage drawn at intervals of 96 acquisition time points; drawing a line current curve according to the line current at intervals of 96 acquisition time points; drawing a line outgoing power curve according to the line outgoing power at intervals of 96 acquisition time points; drawing an incoming line voltage curve according to the incoming line voltages of the users at 96 acquisition time points; drawing an incoming line current curve according to the incoming line currents of the users at 96 acquisition time points; and drawing an inlet wire power curve according to the user inlet wire power of 96 acquisition time points.
The current, voltage and power data of the power utilization information acquisition system are acquired once every 15 minutes, and 96 points are acquired in total one day; data of current, voltage and power curves of the distribution automation system are collected in real time, the data volume is large, data every 15 minutes are incomplete, and sampling needs to be carried out on a large amount of data. For the data point which is not collected by the whole point data, the value of the adjacent point with the minimum time difference is taken (for the adjacent point with the minimum time difference, the data of one point is randomly taken). And 96 data points in the power utilization information acquisition system are line-type data, and the data in the power distribution automation system is line-type data, and row-to-column or column-to-row data matching is needed, and then similarity calculation is carried out. In the similarity calculation, some points with null data acquisition values are involved, and the null values need to be filled or discarded. For data with few values in one day, a method that the data is not added into similarity calculation is adopted, and as long as the numerical value of any point in the day of the electricity utilization information acquisition system or the power distribution automation system is null, the data of the point does not participate in the similarity calculation. Meanwhile, if 20% of the numerical values of the points (19) at 96 points in a day are not collected successfully, the numerical values in the day do not participate in the calculation of the similarity.
Since the current, voltage, power curves relate to phase a, phase B and phase C currents, voltage, active power, reactive power and total active and reactive power. The method can adopt a method of firstly comparing single-phase A, B and C phases respectively and then comprehensively comparing.
For curve drawing of power, active power and reactive power information are synthesized, power curve similarity comparison is carried out, apparent power is taken as a curve drawing element, wherein,
in practical application, as shown in fig. 3, the name of an interval of a station room is arbitrarily input, and in a certain time period (96 voltage, current and power curves of the whole day before the comparison can be made), the most similar user is synthesized by the voltage, current and power curves of the 10kV special transformer and distribution transformer in the system and the voltage, current and power curves of the interval of the distribution automation, and information such as a user number, a user name, a metering point number and a table number is displayed; or, a user number or a station area number is input arbitrarily, and the interval which is most similar to the voltage, current and power curve in the user acquisition system in the distribution automation is compared in a certain time period (96 voltage, current and power curves of the whole day before can be compared), and information such as the name of the interval, the name of a station room to which the interval belongs, the name of a line to which the interval belongs, an operation and maintenance unit and the like is displayed. The embodiment shown in fig. 3 respectively displays the interval or user data with the total similarity value r of the first 5, compares the similarity of the voltage, the current and the power of the distribution area power supply gateway table acquired by the distribution automation power supply interval outgoing line and the power utilization information in the observation time window through simple correlation coefficient ratio calculation, provides the information of the interval or the distribution area power supply gateway table of the first five similarities, and realizes the bidirectional tracing of the main network power supply point and the user.
Through the power supply point automatic identification module 11, the correctness of checking the relation of line-to-variable-household in the operation and distribution through basic data checking work can be effectively realized, the checking intellectualization of the corresponding relation of line-to-variable-household is realized, the problem of source tracing difficulty of the power supply point and a user can be solved, the checking management of the line-to-variable relation of the development of business personnel is assisted, the working quality of the checked finished line is checked, and the power failure condition of the user is judged through data checking.
The user load shedding behavior monitoring module 12 is configured to analyze a user load shedding behavior according to a working state of the primary and secondary transformers of a user; and when the load shedding behavior occurs, generating early warning information and reporting the early warning information to the system so as to prompt managers to update the marketing platform-to-user relationship and the GIS system topological relationship in time. The working state of the main transformer and the standby transformer is the change condition of the current of the main transformer and the standby transformer area of a client.
At present, two load shedding behaviors exist on a user side, one is to carry out load shedding through a high-voltage switching station or a high-voltage side of a distribution room, and the other is to carry out load shedding from a low-voltage side of a transformer.
The method comprises the steps of collecting lists of a power supply side and a platform area, importing the lists into a platform, respectively obtaining current 96-point curve data in a user electricity information collection system in the lists and archive data of a marketing service system according to a period, scanning currents of two transformers which are mutually active and standby at the same time, analyzing a back-load user list, monitoring and early warning behaviors of back-load loads of a high-voltage side and a low-voltage side in a user, timely finding out abnormal line-to-house relation of the high-voltage side and the low-voltage side caused by the back-load of the user, timely adjusting line-to-house relation and variable-to-house relation, and ensuring consistency of system hanging relation and site.
Preferably, the user overload behavior monitoring module 12 includes:
a transformer information obtaining unit 121, configured to obtain a transformer information list of power source sides in a primary-backup relationship with each other from a system;
the transformer parameter obtaining unit 122 is configured to obtain the high-low metering and checking tables of the two transformers in the primary-secondary relationship in the transformer information list, for example, the two transformers in the primary-secondary relationship may be a first transformer and a second transformer, and the high-low metering and checking tables obtained by the transformer parameter obtaining unit include a first high-low metering and checking table of the first transformer and a second high-low metering and checking table of the second transformer;
the user load shedding behavior analysis unit 123 is configured to analyze the user load shedding behavior according to the first high supply and low supply evaluation table and the second high supply and low supply evaluation table:
as shown in fig. 4, at 0-t i In a time period, the current value in the first high-voltage supply and low-voltage supply metering and testing table and the current value in the second high-voltage supply and low-voltage supply metering and testing table are simultaneously higher than a current threshold value (0A or 0.5A), the analysis result of the user load shedding behavior analysis unit 123 is that the main transformer and the standby transformer run simultaneously, and no load shedding behavior exists; at t i At the moment, the current value in the first high-low supply count check table suddenly increases, and the current value in the second high-low supply count check table suddenly decreases, and the analysis result of the user inverse load behavior analysis unit 123 is at t i And at the moment, the second transformer becomes loaded and is inverted to the first transformer, and the load inverting action is generated. In fig. 4, after the current value of the second transformer is reduced to 0A, the current value in the second high supply and low supply count check table is constantly 0, and the current value in the first high supply and low supply count check table is constantly not 0, so that after the current value of the second transformer is reduced to 0A, the analysis result of the user load shedding behavior analysis unit 123 is that a single transformer is operated, which is the load shedding behavior.
The user load shedding behavior analysis unit 123 is configured to obtain a first current curve of the first transformer according to the current value in the first high supply and low supply count check table, and obtain a second current curve of the second transformer according to the current value in the second high supply and low supply count check table; judging t i An overall trend of the first current curve at time; the overall trend of the first current curve is at t i When the time point becomes high, the analysis result of the user load shedding behavior analysis unit 123 is at t i The current value in the first high-low supply count check table is suddenly increased at the moment; determine t i An overall trend of the second current curve at the moment; the overall trend of the second current curve is at t i When the time point becomes lower, the analysis result of the user load shedding behavior analysis unit is at t i And at the moment, the second high and low supply counts the sudden drop of the current value in the check table.
In order to avoid that the current value of a single phase (A phase, B phase or C phase) is empty or zero when the current is collected, the three-phase currents can be added and then analyzed.
In order to judge the rising and falling trends of the current curve and avoid the one-sidedness of the single-point slope of the curve, the overall trend of the curve is judged by fitting a linear equation through a trend analysis method and a least square method, as shown in formula (3) and formula (4):
y＝ax+b (3)
the deviation in the curve fitting problem is as in equation (5):
a and b are obtained by the least square method when R is the minimum value.
The condition for taking the minimum value of R is as follows:
solving an equation set to obtain a and b, and if a is greater than 0, the overall rising trend of the curve is rising; if a <0, the overall upward trend of the curve is downward.
As shown in fig. 5, first, the first transformer current value is 0A, the second transformer current value is not 0A, and the second transformer is in the single-unit operation state from t i The current integral trend of the first transformer is increased at the moment, as shown by a first trend line, the current integral trend of the second transformer is decreased to 0, as shown by a second trend line, then the current tends to be stable, the current value of the first transformer is not 0A, the current value of the second transformer is 0A, and the load shedding behavior of a user is changed into the single operation state of the first transformer.
In fig. 6, the first transformer and the second transformer are main and standby transformers, and as can be seen from the trend lines of the two curves in the figure, the trend line of the current cur1 of the first transformer is in a descending trend, the trend line of the current cur2 of the second transformer is in an ascending trend, the current of the first transformer suddenly drops to 0 at 50 points, and the current continues to be 0 until 96 points; the current of the second transformer rises after 50 points, and the current suddenly increases. Reading and extending the service rules, and analyzing and verifying the characteristics of current curves when the main transformer and the standby transformer are overloaded to generate the following three judgment rules:
judgment rule 1: the high-power supply and low-power supply metering and checking meter of the first transformer and the second transformer collects currents with a value of 0 and a value greater than 0; judgment rule 2: the integral slope of the linear equation slope fitted by the current curve collected by the first transformer and the second transformer high-power supply low-power metering check table is positive and negative, namely rising and falling; judgment rule 3: if the slope of the equation of once for which the two current curves fit is positive-negative (increasing-decreasing). The curve with positive slope has a point after the point +2 of maximum amplification and no current is 0; the curve with negative slope is a little after the maximum decrease point +2 and the current is all 0. And if the three judgment rules are simultaneously satisfied, judging that the user is overloaded.
An output unit 124, configured to output a list of the overload users with the overload behavior;
and an early warning reporting unit 125, configured to generate early warning information and report the early warning information to the system, where the early warning information carries the list of the overload users.
The interface shown in fig. 7 shows the operation state of the transformer and other relevant parameter data and analysis data of the transformer in the form of icons.
The online diagnosis and analysis system for the topological structure of the power distribution network equipment also provides data applications and services such as intelligent query, statistical reports, data import and export and the like. In the statistical report service, the system supports a periodic report statistical function and supports a statistical report function with time dimensions and region dimensions of days, months, seasons, years and the like; in the intelligent query service, the system supports a multi-dimensional intelligent query function of data mining analysis result detail, supports multi-angle self-service data query by dimensions such as users, transformer, region, time and the like, and supports data export and printing; in the data import and export service, the system provides batch import and export service of data; in the visual display service, the system provides means such as two-dimensional and three-dimensional graphs, tables and GIS maps to visually display the system mining analysis result. In the report display service, the system supports two-dimensional, three-dimensional and multi-dimensional report display functions; in the chart display service, the system supports various chart display modes such as a bar chart, a line chart, a pie chart, a bar chart, an area chart and a scatter chart, and meets the visualization requirements of various user requirements.
The online diagnosis and analysis system for the topological structure of the power distribution network equipment, provided by the embodiment of the invention, can automate the verification work of the variable relation of the power distribution network line, and realize the bidirectional tracing of a main network power supply point and a user; by monitoring and early warning the behavior of the reverse switching load of the high-voltage side and the low-voltage side in the user, the abnormity of the line-to-line change of the high (middle) voltage side and the 'to-the-house' relation of the low-voltage side caused by the reverse switching of the load of the user can be known in time, the consistency of the hanging relation of the system and the site is ensured, and the problem that the system data is inconsistent with the site due to the adjustment of the internal load of the user for a long time is effectively solved; the working efficiency and the working quality are improved, the first-line workload is reduced, and meanwhile, the error risk caused by artificial checking is avoided.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (3)
1. Distribution network equipment topological structure on-line diagnosis analytic system, its characterized in that includes:
the power supply point automatic identification module is used for identifying a user corresponding to the interval according to a total similarity value and identifying the interval corresponding to the user according to the total similarity value, wherein the total similarity value is obtained by calculation according to an interval outgoing line parameter and a user high-voltage incoming line parameter;
the user load shedding behavior monitoring module is used for analyzing the user load shedding behavior according to the working state of the main transformer and the standby transformer of the user; when the load shedding behavior occurs, generating early warning information and reporting the early warning information to a system so as to prompt managers to update the marketing platform relationship and the GIS system topological relationship in time;
the user load shedding behavior monitoring module comprises:
the transformer information acquisition unit is used for acquiring a transformer information list of which power supply sides are in a master-slave relationship with each other from a system;
the transformer parameter acquisition unit is used for acquiring high-voltage supply and low-voltage supply metering and checking tables of two transformers which are in a primary-secondary relationship in the transformer information list, wherein the two transformers which are in the primary-secondary relationship are a first transformer and a second transformer, and the high-voltage supply and low-voltage supply metering and checking tables acquired by the transformer parameter acquisition unit comprise a first high-voltage supply and low-voltage supply metering and checking table of the first transformer and a second high-voltage supply and low-voltage supply metering and checking table of the second transformer;
the user load shedding behavior analysis unit is used for analyzing the user load shedding behavior according to the first high supply and low supply counting and checking table and the second high supply and low supply counting and checking table; when the current value in the first high-voltage supply and low-voltage metering and examination table and the current value in the second high-voltage supply and low-voltage metering and examination table are simultaneously higher than the current threshold value, the analysis result of the user unloading behavior analysis unit is that the main transformer and the standby transformer are simultaneously usedRunning, the unloading behavior is not existed; at t i At the moment, when the current value in the first high-supply low-count examination table suddenly increases and the current value in the second high-supply low-count examination table suddenly decreases, the analysis result of the user load shedding behavior analysis unit is t i The second transformer is changed to load and is reversed to the first transformer at any moment, and the load reversing behavior occurs; or, at said t i At the moment, when the current value in the second high-voltage supply and low-voltage supply metering and checking table is constantly 0 and the current value in the first high-voltage supply and low-voltage supply metering and checking table is constantly not 0, the analysis result of the user load shedding behavior analysis unit is that a single transformer runs, and the load shedding behavior occurs;
the output unit is used for outputting the list of the load shedding users with the load shedding behaviors;
the early warning reporting unit is used for generating the early warning information and reporting the early warning information to a system, wherein the early warning information carries the overload user list;
the user load shedding behavior analysis unit is used for obtaining a first current curve of the first transformer according to the current value in the first high-power supply and low-power supply metering and checking table and obtaining a second current curve of the second transformer according to the current value in the second high-power supply and low-power supply metering and checking table;
the user load shedding behavior analysis unit is also used for judging the t i An overall trend of the first current curve at a time; the overall trend of the first current curve is at the t i When the time becomes rising, the analysis result of the user load shedding behavior analysis unit is at the t i The current value in the first high-supply low-supply test check table is suddenly increased at the moment;
the user load shedding behavior analysis unit is also used for judging the t i An overall trend of the second current curve at the moment; the overall trend of the second current curve is at the t i When the time becomes descending, the analysis result of the user load shedding behavior analysis unit is t i At the moment, the current value in the second high-low supply counting check table suddenly drops;
the overall trend of the second current curve is judged by fitting a linear equation through a trend analysis method and a least square method:
y＝ax+b
a. the value b is a solving result which enables the minimum value of R to be a target based on the principle of a least square method, wherein the condition that the minimum value of R is:
after a and b are solved, if a is greater than 0, the overall trend of the second current curve is rising; if a <0, the overall trend of the second current curve is decreasing.
2. The system for online diagnosis and analysis of topology of power distribution network equipment according to claim 1, wherein said power point automatic identification module comprises:
the parameter acquisition unit is used for acquiring the interval outgoing parameters and the user high-voltage incoming parameters, the interval outgoing parameters comprise an outgoing line voltage curve, an outgoing line current curve and an outgoing line power curve, and the user high-voltage incoming parameters comprise an incoming line voltage curve, an incoming line current curve and an incoming line power curve;
a curve similarity calculation unit for calculating the voltage curve similarity r according to the outgoing line voltage curve and the incoming line voltage curve U (ii) a And calculating the similarity r of the current curve according to the outgoing current curve and the incoming current curve I (ii) a And calculating power curve similarity r according to the outgoing line power curve and the incoming line power curve P ；
A total similarity value calculation unit for calculating the similarity r according to the voltage curve U The current curve similarity r I The power curve similarity r P The total value r of the similarity is calculated,
r＝0.2×r U +0.4×r I +0.4×r P
the selecting unit is used for selecting N users as the users corresponding to the interval according to the sequence of the total similarity value r from high to low when the users corresponding to the interval are searched;
the selecting unit is further configured to select N intervals as the intervals corresponding to the user according to a sequence from high to low of the total similarity value r when the interval corresponding to the user is searched.
3. The system for online diagnosis and analysis of topology of power distribution network equipment according to claim 2, wherein said parameter obtaining unit comprises:
the acquisition unit is used for acquiring the spaced outgoing line voltage, the spaced outgoing line current and the spaced outgoing line power in the spaced outgoing line parameters from the spaced outgoing lines, wherein the acquisition frequency of the spaced outgoing line parameters is once every 15 minutes, and the spaced outgoing line voltage, the spaced outgoing line current and the spaced outgoing line power at 96 acquisition time points are obtained;
the acquisition unit is used for acquiring user incoming line voltage, user incoming line current and user incoming line power in the user high-voltage incoming line parameter parameters from a user high-voltage incoming line, and the acquisition frequency of the interval outgoing line parameters is once every 15 minutes, so that the user incoming line voltage, the user incoming line current and the user incoming line power at 96 acquisition time points are obtained;
a daily characteristic curve drawing unit, configured to draw the outgoing line voltage curve according to the interval outgoing line voltages at the 96 collection time points; the sampling circuit is also used for drawing the outgoing line current curve according to the interval outgoing line currents of the 96 acquisition time points; the device is also used for drawing the outgoing line power curve according to the interval outgoing line power of the 96 acquisition time points; the incoming line voltage curve is also drawn according to the incoming line voltages of the users at the 96 acquisition time points; the system is also used for drawing an incoming line current curve according to the user incoming line currents of the 96 acquisition time points; and the incoming line power curve is drawn according to the user incoming line power of the 96 acquisition time points.
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|---|
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