CN111781463A - Auxiliary diagnosis method for abnormal line loss of transformer area - Google Patents
Auxiliary diagnosis method for abnormal line loss of transformer area Download PDFInfo
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Abstract
The invention relates to a line loss abnormity auxiliary diagnosis method for a transformer area, which comprises automatic diagnosis of a line loss abnormity transformer area and line loss fluctuation abnormity analysis, wherein the line loss abnormity transformer area is subjected to auxiliary analysis based on a transformer area line loss theoretical value, a transformer area line loss abnormity analysis process is combed, line loss abnormity reasons are combed from the aspects of statistical factors, metering factors, marketing and distribution through factors, electricity stealing factors, technical factors and the like, according to a transformer area line loss abnormity treatment method, and by combining file information of an acquisition system, marketing file information, a debugging work order, meter reading data, an abnormal event, a metering fault, data abnormity acquisition and an abnormity elimination scheme, the line loss abnormity transformer area is subjected to the following steps: and the three types of statistics, high loss and negative loss can not be automatically diagnosed respectively, and automatic diagnosis of the line loss abnormal distribution room is carried out. Aiming at the abnormal defect elimination result of the collected feedback, the automatic diagnosis rule is perfected and optimized. The invention realizes the personalized evaluation, intelligent diagnosis and lean management of the abnormal line loss problem of the transformer area.
Description
Technical Field
The invention relates to the field of power systems, in particular to an auxiliary diagnosis method for abnormal line loss of a transformer area.
Background
The transformer area refers to a power supply range or area of a transformer, and a plurality of subordinate concentrators are arranged under one transformer area and used for collecting and forwarding information of the electric energy meter to a main station of the power consumption information acquisition system. The line loss of the transformer area is the loss of the power supply and sale amount caused by impedance action or management reasons in the transmission process of the power in the transformer area, and directly reflects the technology and management level of a power grid. The line loss rate is the percentage of line loss electricity quantity in the power supply quantity, and the calculation formula is as follows: the line loss rate is the line loss power/power supply.
The line loss management of the transformer area is a very concerned problem for power grid enterprises, has an important influence on the economic benefit of the power grid enterprises, and is also an important work for constructing a conservation-oriented society and promoting energy conservation and emission reduction. The existing power grid loss mostly occurs in medium and low voltage distribution networks, particularly the line loss rate of the 0.4kV low voltage distribution network is very large and is a main link for line loss occurrence, so that the line loss management of a low voltage transformer area is an important link for line loss management.
At present, the power consumption information acquisition system of each company of a national power grid has a line loss calculation basic function, and line loss is calculated according to the power supply point and the reactive forward/reverse electric energy data of the power receiving point and the power supply point and the power receiving point. The low-voltage distribution network line topology is complex, and constantly expands and changes, and the line topology probably has the mistake, probably has the mistake problem of copying because of the equipment reason in the in-process of checking meter, leads to the line loss to calculate and has great error or mistake, brings the interference to line loss analysis afterwards to lack deep analysis function module, most local office staff relies on empirical analysis at present, and scientific integrality is not enough. The research on the fluctuation rate of the line loss of the transformer area is less at home and abroad, the problems that how to reasonably and quantitatively analyze the line loss fluctuation, how to determine the influence factors of the line loss fluctuation, how to take effective measures to reduce the influence of the adverse factors and the like are not reasonably analyzed, and therefore the development of the analysis work of the line loss fluctuation of the transformer area has important significance for reducing the line loss rate of power supply enterprises. The method can not meet various service requirements which are developed day by day, and line loss auxiliary diagnosis is required.
Disclosure of Invention
In view of this, the present invention provides an auxiliary diagnosis method for line loss abnormality of a distribution room, so as to implement personalized evaluation, intelligent diagnosis and lean management of the line loss abnormality problem of the distribution room.
The invention is realized by adopting the following scheme: an auxiliary diagnosis method for abnormal line loss of a transformer area comprises the following steps:
step S1: data acquisition: acquiring station area file information, user power consumption data, a theoretical line loss value, a line loss curve, an acquisition success rate and transformer operation condition data in an electricity utilization information acquisition system, and acquiring external weather data; the user power consumption data comprises: active power, reactive power, head end voltage (24 points), current (24 points), power supply quantity, power consumption quantity, line loss rate and wiring mode;
step S2: the line loss abnormal region is according to the line loss abnormal type: the method comprises the steps that three station area types of statistics, high loss and negative loss cannot be diagnosed respectively, line loss fluctuation abnormity analysis is carried out on the high loss and negative loss station areas, and a diagnosis list is output;
step S3: sending an exception diagnosis list, establishing a case base according to a feedback result of line loss exception deletion, providing a line loss exception handling suggestion by combining historical similar cases, providing a manual entry exception handling measure for the condition without similar cases, regularly sorting and updating the case base, and perfecting a diagnosis rule.
Further, the step S2 specifically includes the following steps:
step S21: respectively carrying out abnormality diagnosis on the line loss abnormal transformer area according to three transformer area types of failure statistics, high loss and negative loss, and respectively executing the step S22 and the step S23;
step S22: if the diagnosis is that the statistics cannot be carried out, entering an abnormal diagnosis flow which cannot be carried out, judging the specific type of the station area which cannot be carried out, outputting an abnormal diagnosis list, and otherwise, entering the next judgment;
step S23: if the high loss or negative loss is diagnosed to be abnormal, entering a high loss or negative loss abnormal diagnosis process, and outputting an abnormal diagnosis list;
step S24: and judging the line loss fluctuation abnormity of the transformer area, if the line loss fluctuation abnormity is judged to be the line loss fluctuation abnormity, analyzing the line loss fluctuation abnormity, otherwise, not analyzing, outputting an abnormity diagnosis list, and ending the process.
Further, the step of determining that the specific type of the distribution area cannot be counted in step S22 specifically includes the following steps:
step Sa: judging whether metering exists in the area management and control, if metering is not related to the port metering, judging that the class A cannot count the area, and prompting: if the station area can not be counted for the class A, the judgment is finished regardless of port measurement;
and Sb: judging the power supply quantity of the distribution room, if the power supply quantity of the distribution room is empty, judging that the distribution room can not be counted by class B, otherwise, judging that the distribution room can not be counted by class C, and prompting: if the station area cannot be counted for the class C, the power supply amount of the station area is zero, the power selling amount is empty, and the meter counting is not zero, the judgment is finished;
step Sc: if the station area cannot be counted in the type B, continuously checking whether gateway table acquisition abnormity exists or not, and whether reverse walking, flying walking and stopping walking fields exist or not, and if yes, prompting: if the gateway table is abnormal in acquisition and the sites of backward walking, flying walking and stopping walking exist, the judgment is finished; otherwise, continuously judging whether an in-transit process exists, and if so, prompting: if the in-transit process exists, the judgment is finished; if no in-transit flow and prompt exist, continuously calling and measuring voltage and current to judge whether a value exists or not, judging whether a line loss statistical problem exists or not, and if the voltage and the current cannot be called and measured, prompting: skipping to the collection of intelligent operation and maintenance, troubleshooting delivery parameter problems, triggering a work order, and sending the work order to a maintenance department for troubleshooting hardware problems; otherwise, executing step Sd;
step Sd: if the calling voltage and the current have values, continuing calling an alternating current acquisition day freezing indicating value, and if the alternating current acquisition day freezing indicating value exists, prompting: successfully freezing the recruitment date and the alternate collection date, and finishing the judgment; if the zero-crossing point power failure is prompted, the judgment is finished; if no zero-crossing power failure exists, the terminal clock comparison is continued, whether the clock deviation exists in the terminal is checked, and if no clock deviation exists, the following prompt is given: if the terminal is in a problem, the terminal asks for tracking the subsequent line loss rate to update, and the judgment is finished; if clock deviation exists, remote time synchronization is carried out, if the remote time synchronization fails, a work order is triggered, the time synchronization of a maintainer on site is required, and the judgment is finished; if the time synchronization is successful, prompting that the remote time synchronization is successful, and ending the judgment.
Further, the method for diagnosing high-loss or negative-loss abnormality in step S23 specifically includes
The following steps:
step S231: judging whether the power utilization information acquisition system successfully acquires the data, if the acquisition success rate is less than 100%, determining that the acquisition fails, otherwise, executing the step S232; if the acquisition fails, displaying a failed user, triggering a work order, prompting to jump to acquisition operation and maintenance, and ending judgment;
step S232: if the acquisition is successful, judging a high loss or negative loss type, judging the high loss or negative loss type as a negative loss distribution area when the line loss rate is less than 0, and judging the high loss distribution area as a typical S being 7% when the line loss rate is greater than a threshold S; and meanwhile, performing operation and acquisition file comparison, flow judgment, gateway table abnormity, photovoltaic power utilization check and low-voltage meter abnormity check in parallel, and judging the type and the reason of high loss or negative loss.
Further, in step S232, the mining file comparison rule is: comparing whether the file information of the marketing system is inconsistent with the file information of the acquisition system, wherein the file information comprises the electric energy meter number, the running capacity, the meter count, the three-phase meter multiplying power and the gateway meter multiplying power; if the inconsistency information is displayed, ending the judgment; otherwise, entering a flow judgment; the flow judgment process is to judge whether a filed flow and an in-transit flow exist from the day when the offline loss of the transformer area is abnormal to the previous 3 days, and prompt detailed flow information after the judgment; judging a high loss or negative loss type, judging the high loss or negative loss type as a negative loss distribution area when the line loss rate is less than 0, and judging the high loss distribution area when the line loss rate is greater than a threshold value S, wherein the typical S is 7%; checking the wiring of the gateway table aiming at the abnormal problem of the gateway table, and finishing judgment if the wiring problem of the gateway table prompts the wiring problem of the gateway table; if the wiring problem of the gateway table is not related, other abnormal analysis of the gateway table is continued, the abnormal type of the gateway table is judged to be high loss or negative loss according to the table 2, and the abnormity of the gateway table is prompted; the photovoltaic power utilization is checked, whether photovoltaic collection is successful or not is checked, whether a reverse power collection task is configured or not is checked, whether a line loss statistical timing is added to be an internet gateway metering point or not is judged, whether a power generation gateway metering point is configured or not is judged, and photovoltaic abnormal information is prompted.
Further, the specific content of judging whether the type of the gateway table is high loss or negative loss is as follows: if the gateway meter wiring is abnormal, namely the voltage, the current, the voltage phase angle, the current phase angle and the power factor of the gateway meter are not in the normal range, judging that the gateway meter is high-loss or negative-loss; the normal ranges of the voltage, the current, the voltage phase angle, the current phase angle and the power factor of the gateway meter are respectively as follows: voltage of gateway meter: the three-phase voltage is normal within the range of + 7% to-10% under the standard of 220V; current: three-phase current>0, calling and measuring zero sequence current and zero sequence current<0.1 is normal; voltage ofPhase angle: u shapeA＝0°，UB＝120±5°，UCNormal at 240 ± 5 °; current phase angle: i isA＝30±20°，IB＝150±20°，ICThe method comprises the steps of determining the normal state of a three-phase four-wire system at 270 +/-20 degrees, determining the power factor of more than 0.8, determining the normal state as high loss if the three-phase imbalance degree is larger than 15%, namely the imbalance degree of three-phase current for 2 continuous hours is larger than 15%, determining the high loss or the negative loss if the three-phase imbalance degree is larger than × 100%, determining the high loss or the negative loss if the three-phase imbalance degree is larger than 1.6 times of the rated capacity within 0.5 continuous hours, determining the negative loss if the three-phase imbalance degree is larger than 90%, determining the negative loss if the voltage anomaly occurs, namely the outlet voltage for 3 continuous hours is smaller than the rated voltage, determining the negative loss if the voltage phase failure occurs for 6 continuous hours, determining the phase failure if any one-phase voltage curve is all 0 or all empty, and determining the phase failure if all ABC three-phases of.
Further, in step S232, the specific content of the low pressure gauge abnormality check is: if the meter exceeds the capacity, namely a three-phase meter: considering the maximum demand and the user installation capacity as the excess capacity, wherein the maximum demand is multiplied by the magnification to be larger than the installation capacity; single-phase meter: the electric quantity is greater than 0.5 multiplied by contract capacity multiplied by 24h, hour freezing indication value collection is made, hour-level average load is calculated to be greater than the contract capacity, and if the capacity is considered to be over capacity, high loss or negative loss is judged; if the ammeter flies, namely (the electric quantity of the current day-the electric quantity of the yesterday) multiplied by the comprehensive multiplying power is larger than the maximum current multiplied by the rated voltage multiplied by 24 hours multiplied by 2, the judgment is made as negative loss; if the electric meter falls away, namely a single-phase user: judging whether the daily positive active total electric energy indicating value and the reverse active total electric energy indicating value are smaller than the previous day indicating value of-1;
three-phase users: judging that the daily positive/negative active total electric energy indication value and the forward (combined) reactive total electric energy indication value are less than the previous day indication value of-1, and judging that the loss is high; if the electricity meter stops running, namely the difference value of the positive and active total electric energy indication values of the electricity meter in one month is equal to 0, and any 1 point of the monitored current in the time period is more than 0.1A, judging that the loss is high; if the meter clock deviation, namely the absolute value of the difference value between the standard time and the calendar clock of the electric energy meter exceeds a threshold value K, and the value range of the K is 5min, judging that the loss is high or negative; if the zero live wire current abnormity occurs, the single-phase meter: if the zero line current is larger than or equal to the live line current multiplied by 1.5, the zero line current is judged to be high loss; if reverse word walking occurs, namely the non-photovoltaic users have no forward electric quantity and have reverse electric quantity, and the accumulated reverse electric quantity is greater than 0.1kWh in 7 days, the high loss is judged.
Further, the specific content of step S24 is:
the high-loss or negative-loss transformer area usually fluctuates along with line loss, the line loss rate of one transformer area per month is selected as a line loss curve, and the data integrity of the line loss curve is required to be 100%; analyzing the abnormal condition of line loss fluctuation by adopting a difference coefficient; the difference coefficient is the ratio of the standard deviation and the mean of a set of data, and is calculated as follows:
selecting a certain area line loss rate of N days as a statistical object, wherein X isiThe line loss rate of a certain area on the ith day, typically N is the number of days of a month,
the average of the line loss rate of the station area in N days, the difference coefficient is an index for measuring and calculating the dispersion degree of the data, the size of the ratio represents the dispersion degree, the larger the absolute value of the difference coefficient is, the larger the dispersion degree of the data is, otherwise, the smaller the dispersion degree is; if the difference coefficient is larger than 0.3, the suspected abnormality is considered, and in order to more accurately judge the fluctuation abnormality, the threshold value is set to be 0.5; judging the existence of the abnormal point to enable the result to be more accurate, and generally determining the measuring point with the line loss rate value exceeding the average value plus two times of the standard deviation as the abnormal point; the transformer area comprises abnormal points which are line loss fluctuation transformer areas; if the line loss fluctuation abnormality of the transformer area is judged, analyzing the correlation of the line loss fluctuation abnormality, and otherwise, not analyzing;
aiming at the abnormal distribution room with line loss rate fluctuation, a Pearson correlation analysis algorithm is adopted to respectively analyze the influence degree of factors such as the electric quantity of each user under the distribution room, the acquisition success rate and the weather on the line loss of the distribution room, analyze the influence reasons of the line loss fluctuation of the distribution room and judge whether the line loss fluctuation of the distribution room is normal or not;
pearson's correlation coefficient formula:
in the formula XiIs the value of the i-th day line loss rate, YiThe related quantity for comparison comprises the electric quantity of the user, the acquisition success rate and the weather; if the correlation coefficient r is [0.8,1 ]]The interval shows a very strong positive correlation, if the correlation coefficient r is [ -0.8, -1 [)]Expressed as a very strong negative correlation, if the correlation coefficient r is [ -0.2,0.2 [)]Indicating very weak or no correlation, if the correlation coefficient r indicates weak correlation in other intervals.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can carry out personalized evaluation: and calculating the theoretical line loss of the transformer area, formulating scientific and reasonable line loss assessment reference indexes for the theoretical line loss of the transformer area, and realizing the personalized management of the line loss of the transformer area.
2. The invention can carry out intelligent diagnosis: and automatically diagnosing the abnormal line loss distribution room, analyzing the line loss fluctuation reason of the distribution room, realizing automatic intelligent diagnosis of the abnormal line loss, and realizing the change of the work gravity center from abnormal analysis to fault rectification and daily monitoring.
3. The invention can carry out lean management: and the work order is adopted to realize line loss abnormity closed-loop management, the line loss abnormity defect elimination feedback result of the distribution room is collected, the line loss abnormity automatic diagnosis rule is iteratively optimized, and support is provided for further accurate loss reduction.
Drawings
FIG. 1 is a general flow diagram of an embodiment of the present invention.
FIG. 2 is a flow chart of the failure to diagnose an anomaly according to the embodiment of the present invention.
Fig. 3 is a flow chart of high loss and negative loss determination according to an embodiment of the present invention.
Fig. 4 is a flowchart illustrating a line loss fluctuation anomaly analysis according to an embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1, the present embodiment provides an auxiliary diagnosis method for line loss abnormality of a distribution room, including the following steps:
step S1: data acquisition: acquiring station area file information, user power consumption data, a theoretical line loss value, a line loss curve, an acquisition success rate and transformer operation condition data in an electricity utilization information acquisition system, and acquiring external weather data; the user power consumption data comprises: active power, reactive power, head end voltage (24 points), current (24 points), power supply quantity, power consumption quantity, line loss rate and wiring mode;
step S2: the line loss abnormal region is according to the line loss abnormal type: the method comprises the steps that three station area types of statistics, high loss and negative loss cannot be diagnosed respectively, line loss fluctuation abnormity analysis is carried out on the high loss and negative loss station areas, and a diagnosis list is output;
step S3: sending an exception diagnosis list, establishing a case base according to a feedback result of line loss exception deletion, providing a line loss exception handling suggestion by combining historical similar cases, providing a manual entry exception handling measure for the condition without similar cases, regularly sorting and updating the case base, and perfecting a diagnosis rule.
As shown in fig. 1, in this embodiment, the step S2 specifically includes the following steps:
step S21: respectively carrying out abnormality diagnosis on the line loss abnormal transformer area according to three transformer area types of failure statistics, high loss and negative loss, and respectively executing the step S22 and the step S23;
step S22: if the diagnosis is that the statistics cannot be carried out, entering an abnormal diagnosis flow which cannot be carried out, judging the specific type of the station area which cannot be carried out, outputting an abnormal diagnosis list, and otherwise, entering the next judgment;
step S23: if the high loss or negative loss is diagnosed to be abnormal, entering a high loss or negative loss abnormal diagnosis process, and outputting an abnormal diagnosis list;
step S24: and judging the line loss fluctuation abnormity of the transformer area, if the line loss fluctuation abnormity is judged, analyzing the line loss fluctuation abnormity, and if not, not analyzing and ending the process.
As shown in fig. 2, in this embodiment, the step of determining that the specific type of the distribution area cannot be counted in step S22 specifically includes the following steps:
step Sa: judging whether metering exists in the area management and control, if metering is not related to the port metering, judging that the class A cannot count the area, and prompting: if the station area can not be counted for the class A, the judgment is finished regardless of port measurement;
and Sb: judging the power supply quantity of the distribution room, if the power supply quantity of the distribution room is empty, judging that the distribution room can not be counted by class B, otherwise, judging that the distribution room can not be counted by class C, and prompting: if the station area cannot be counted for the class C, the power supply amount of the station area is zero, the power selling amount is empty, and the meter counting is not zero, the judgment is finished;
step Sc: if the station area cannot be counted in the type B, continuously checking whether gateway table acquisition abnormity exists or not, and whether reverse walking, flying walking and stopping walking fields exist or not, and if yes, prompting: if the gateway table is abnormal in acquisition and the sites of backward walking, flying walking and stopping walking exist, the judgment is finished; otherwise, continuously judging whether an in-transit process exists, and if so, prompting: if the in-transit process exists, the judgment is finished; if no in-transit flow and prompt exist, continuously calling and measuring voltage and current to judge whether a value exists or not, judging whether a line loss statistical problem exists or not, and if the voltage and the current cannot be called and measured, prompting: skipping to the collection of intelligent operation and maintenance, troubleshooting delivery parameter problems, triggering a work order, and sending the work order to a maintenance department for troubleshooting hardware problems; otherwise, executing step Sd;
step Sd: if the calling voltage and the current have values, continuing calling an alternating current acquisition day freezing indicating value, and if the alternating current acquisition day freezing indicating value exists, prompting: successfully freezing the recruitment date and the alternate collection date, and finishing the judgment; if the zero-crossing point power failure is prompted, the judgment is finished; if no zero-crossing power failure exists, the terminal clock comparison is continued, whether the clock deviation exists in the terminal is checked, and if no clock deviation exists, the following prompt is given: if the terminal is in a problem, the terminal asks for tracking the subsequent line loss rate to update, and the judgment is finished; if clock deviation exists, remote time synchronization is carried out, if the remote time synchronization fails, a work order is triggered, the time synchronization of a maintainer on site is required, and the judgment is finished; if the time synchronization is successful, prompting that the remote time synchronization is successful, and ending the judgment.
As shown in fig. 3, in this embodiment, the method for diagnosing the high loss or negative loss abnormality in step S23 specifically includes the following steps:
step S231: judging whether the power utilization information acquisition system successfully acquires the data, if the acquisition success rate is less than 100%, determining that the acquisition fails, otherwise, executing the step S232; if the acquisition fails, displaying a failed user, triggering a work order, prompting to jump to acquisition operation and maintenance, and ending judgment;
step S232: if the acquisition is successful, judging a high loss or negative loss type, judging the high loss or negative loss type as a negative loss distribution area when the line loss rate is less than 0, and judging the high loss distribution area as a typical S being 7% when the line loss rate is greater than a threshold S; and meanwhile, performing operation and acquisition file comparison, flow judgment, gateway table abnormity, photovoltaic power utilization check and low-voltage meter abnormity check in parallel, and judging the type and the reason of high loss or negative loss.
As shown in fig. 3 and 4, in the present embodiment, the mining file comparison rule in step S232 is: comparing whether the file information of the marketing system is inconsistent with the file information of the acquisition system, wherein the file information comprises the electric energy meter number, the running capacity, the meter count, the three-phase meter multiplying power and the gateway meter multiplying power; if the inconsistency information is displayed, ending the judgment; otherwise, entering a flow judgment; the flow judgment process is to judge whether a filed flow and an in-transit flow exist from the day when the offline loss of the transformer area is abnormal to the previous 3 days, and prompt detailed flow information after the judgment; judging a high loss or negative loss type, judging the high loss or negative loss type as a negative loss distribution area when the line loss rate is less than 0, and judging the high loss distribution area when the line loss rate is greater than a threshold value S, wherein the typical S is 7%; checking the wiring of the gateway table aiming at the abnormal problem of the gateway table, and finishing judgment if the wiring problem of the gateway table prompts the wiring problem of the gateway table; if the wiring problem of the gateway table is not related, other abnormal analysis of the gateway table is continued, the abnormal type of the gateway table is judged to be high loss or negative loss according to the table 2, and the abnormity of the gateway table is prompted; the photovoltaic power utilization is checked, whether photovoltaic collection is successful or not is checked, whether a reverse power collection task is configured or not is checked, whether a line loss statistical timing is added to be an internet gateway metering point or not is judged, whether a power generation gateway metering point is configured or not is judged, and photovoltaic abnormal information is prompted.
Table 1: flow judgment check list
As shown in table 2, in the present embodiment: the specific content for judging whether the abnormal type of the gateway table is high loss or negative loss is as follows: if the gateway meter wiring is abnormal, namely the voltage, the current, the voltage phase angle, the current phase angle and the power factor of the gateway meter are not in the normal range, judging that the gateway meter is high-loss or negative-loss; the normal ranges of the voltage, the current, the voltage phase angle, the current phase angle and the power factor of the gateway meter are respectively as follows: voltage of gateway meter: the three-phase voltage is normal within the range of + 7% to-10% under the standard of 220V; current: three-phase current>0, calling and measuring zero sequence current and zero sequence current<0.1 is normal; voltage phase angle: u shapeA＝0°，UB＝120±5°，UCNormal at 240 ± 5 °; current phase angle: i isA＝30±20°，IB＝150±20°，ICThe method comprises the steps of judging the normal condition of 270 +/-20 degrees, judging the normal condition of a power factor of more than 0.8, judging the high loss if three-phase unbalance is generated, namely the unbalance degree of three-phase current for 2 continuous hours is more than 15%, judging the unbalance degree of the three-phase current as (maximum single-phase current-minimum single-phase current)/maximum single-phase current × 100%, and judging the load exceeds rated capacity within 0.5 continuous hours if serious overload is generated1.6 times, judging the loss is high loss or negative loss; if the voltage is abnormal, namely the outlet voltage for 3 continuous hours is less than 90% of the rated voltage, the voltage is judged to be negative loss; if the voltage phase failure occurs, namely, the voltage phase failure is continuous for 6 hours, if any one-phase voltage curve is all 0 or all empty, the voltage phase failure is determined, if all the ABC three phases of the three-phase four-wire are empty, the phase failure is not counted, and the negative loss is determined.
TABLE 2 gateway table anomaly determination rules
As shown in table 3, in this embodiment, the specific contents of the abnormality check of the low pressure gauge in step S232 are: if the meter exceeds the capacity, namely a three-phase meter: considering the maximum demand and the user installation capacity as the excess capacity, wherein the maximum demand is multiplied by the magnification to be larger than the installation capacity; single-phase meter: the electric quantity is greater than 0.5 multiplied by contract capacity multiplied by 24h, hour freezing indication value collection is made, hour-level average load is calculated to be greater than the contract capacity, and if the capacity is considered to be over capacity, high loss or negative loss is judged; if the ammeter flies, namely (the electric quantity of the current day-the electric quantity of the yesterday) multiplied by the comprehensive multiplying power is larger than the maximum current multiplied by the rated voltage multiplied by 24 hours multiplied by 2, the judgment is made as negative loss; if the electric meter falls away, namely a single-phase user: judging whether the daily positive active total electric energy indicating value and the reverse active total electric energy indicating value are smaller than the previous day indicating value of-1;
three-phase users: judging that the daily positive/negative active total electric energy indication value and the forward (combined) reactive total electric energy indication value are less than the previous day indication value of-1, and judging that the loss is high; if the electricity meter stops running, namely the difference value of the positive and active total electric energy indication values of the electricity meter in one month is equal to 0, and any 1 point of the monitored current in the time period is more than 0.1A, judging that the loss is high; if the meter clock deviation, namely the absolute value of the difference value between the standard time and the calendar clock of the electric energy meter exceeds a threshold value K, and the value range of the K is 5min, judging that the loss is high or negative; if the zero live wire current abnormity occurs, the single-phase meter: if the zero line current is larger than or equal to the live line current multiplied by 1.5, the zero line current is judged to be high loss; if reverse word walking occurs, namely the non-photovoltaic users have no forward electric quantity and have reverse electric quantity, and the accumulated reverse electric quantity is greater than 0.1kWh in 7 days, the high loss is judged.
TABLE 3 Low-pressure gage anomaly determination rules
As shown in fig. 4, in this embodiment, the specific content of step S24 is:
the high-loss or negative-loss transformer area usually fluctuates along with line loss, the line loss rate of one transformer area per month is selected as a line loss curve, and the data integrity of the line loss curve is required to be 100%; analyzing the abnormal condition of line loss fluctuation by adopting a difference coefficient; the difference coefficient is the ratio of the standard deviation and the mean of a set of data, and is calculated as follows:
selecting a certain area line loss rate of N days as a statistical object, wherein X isiThe line loss rate of a certain area on the ith day, typically N is the number of days of a month,
the average of the line loss rate of the station area in N days, the difference coefficient is an index for measuring and calculating the dispersion degree of the data, the size of the ratio represents the dispersion degree, the larger the absolute value of the difference coefficient is, the larger the dispersion degree of the data is, otherwise, the smaller the dispersion degree is; if the difference coefficient is larger than 0.3, the suspected abnormality is considered, and in order to more accurately judge the fluctuation abnormality, the threshold value is set to be 0.5; judging the existence of the abnormal point to enable the result to be more accurate, and generally determining the measuring point with the line loss rate value exceeding the average value plus two times of the standard deviation as the abnormal point; the transformer area comprises abnormal points which are line loss fluctuation transformer areas; if the line loss fluctuation abnormality of the transformer area is judged, analyzing the correlation of the line loss fluctuation abnormality, and otherwise, not analyzing;
aiming at the abnormal distribution room with line loss rate fluctuation, a Pearson correlation analysis algorithm is adopted to respectively analyze the influence degree of factors such as the electric quantity of each user under the distribution room, the acquisition success rate and the weather on the line loss of the distribution room, analyze the influence reasons of the line loss fluctuation of the distribution room and judge whether the line loss fluctuation of the distribution room is normal or not;
pearson's correlation coefficient formula:
in the formula XiIs the value of the i-th day line loss rate, YiThe related quantity for comparison comprises the electric quantity of the user, the acquisition success rate and the weather; if the correlation coefficient r is [0.8,1 ]]The interval shows a very strong positive correlation, if the correlation coefficient r is [ -0.8, -1 [)]Expressed as a very strong negative correlation, if the correlation coefficient r is [ -0.2,0.2 [)]Indicating very weak or no correlation, if the correlation coefficient r indicates weak correlation in other intervals.
Preferably, in this embodiment, based on the theoretical value of the line loss of the distribution room, the line loss abnormal analysis of the abnormal distribution room is performed, the line loss abnormal analysis process of the distribution room is combed, the reason for the line loss abnormal is combed from the aspects of statistical factors, metering factors, marketing and distribution through factors, electricity stealing factors, technical factors and the like, and according to the management method of the line loss abnormal of the distribution room, the automatic diagnosis of the abnormal distribution room of the line loss is performed by combining the file information of the acquisition system, the marketing file information, the debugging work order, the meter reading data, the abnormal event, the metering fault, the abnormal acquisition data and the abnormal defect elimination scheme. Aiming at the abnormal defect elimination result of the collected feedback, the automatic diagnosis rule is perfected and optimized.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.
Claims (8)
1. A transformer area line loss abnormity auxiliary diagnosis method is characterized by comprising the following steps: the method comprises the following steps:
step S1: data acquisition: acquiring station area file information, user power consumption data, a theoretical line loss value, a line loss curve, an acquisition success rate and transformer operation condition data in an electricity utilization information acquisition system, and acquiring external weather data; the user power consumption data comprises: active power, reactive power, head end voltage, current, power supply quantity, power consumption quantity, line loss rate and wiring mode;
step S2: the line loss abnormal region is according to the line loss abnormal type: the method comprises the steps that three station area types of statistics, high loss and negative loss cannot be diagnosed respectively, line loss fluctuation abnormity analysis is carried out on the high loss and negative loss station areas, and a diagnosis list is output;
step S3: sending an exception diagnosis list, establishing a case base according to a feedback result of line loss exception deletion, providing a line loss exception handling suggestion by combining historical similar cases, providing a manual entry exception handling measure for the condition without similar cases, regularly sorting and updating the case base, and perfecting a diagnosis rule.
2. The auxiliary diagnosis method for line loss abnormality of transformer area according to claim 1, characterized in that: the step S2 specifically includes the following steps:
step S21: respectively carrying out abnormality diagnosis on the line loss abnormal transformer area according to three transformer area types of failure statistics, high loss and negative loss, and respectively executing the step S22 and the step S23;
step S22: if the diagnosis is that the statistics cannot be carried out, entering an abnormal diagnosis flow which cannot be carried out, judging the specific type of the station area which cannot be carried out, outputting an abnormal diagnosis list, and otherwise, entering the next judgment;
step S23: if the high loss or negative loss is diagnosed to be abnormal, entering a high loss or negative loss abnormal diagnosis process, and outputting an abnormal diagnosis list;
step S24: and judging the line loss fluctuation abnormity of the transformer area, if the line loss fluctuation abnormity is judged to be the line loss fluctuation abnormity, analyzing the line loss fluctuation abnormity, otherwise, not analyzing, outputting an abnormity diagnosis list, and ending the process.
3. The auxiliary diagnosis method for line loss abnormality of transformer area according to claim 2, characterized in that: the step of determining that the specific type of the distribution area cannot be counted in step S22 specifically includes the following steps:
step Sa: judging whether metering exists in the area management and control, if metering is not related to the port metering, judging that the class A cannot count the area, and prompting: if the station area can not be counted for the class A, the judgment is finished regardless of port measurement;
and Sb: judging the power supply quantity of the distribution room, if the power supply quantity of the distribution room is empty, judging that the distribution room can not be counted by class B, otherwise, judging that the distribution room can not be counted by class C, and prompting: if the station area cannot be counted for the class C, the power supply amount of the station area is zero, the power selling amount is empty, and the meter counting is not zero, the judgment is finished;
step Sc: if the station area cannot be counted in the type B, continuously checking whether gateway table acquisition abnormity exists or not, and whether reverse walking, flying walking and stopping walking fields exist or not, and if yes, prompting: if the gateway table is abnormal in acquisition and the sites of backward walking, flying walking and stopping walking exist, the judgment is finished; otherwise, continuously judging whether an in-transit process exists, and if so, prompting: if the in-transit process exists, the judgment is finished; if no in-transit flow and prompt exist, continuously calling and measuring voltage and current to judge whether a value exists or not, judging whether a line loss statistical problem exists or not, and if the voltage and the current cannot be called and measured, prompting: skipping to the collection of intelligent operation and maintenance, troubleshooting delivery parameter problems, triggering a work order, and sending the work order to a maintenance department for troubleshooting hardware problems; otherwise, executing step Sd;
step Sd: if the calling voltage and the current have values, continuing calling an alternating current acquisition day freezing indicating value, and if the alternating current acquisition day freezing indicating value exists, prompting: successfully freezing the recruitment date and the alternate collection date, and finishing the judgment; if the zero-crossing point power failure is prompted, the judgment is finished; if no zero-crossing power failure exists, the terminal clock comparison is continued, whether the clock deviation exists in the terminal is checked, and if no clock deviation exists, the following prompt is given: if the terminal is in a problem, the terminal asks for tracking the subsequent line loss rate to update, and the judgment is finished; if clock deviation exists, remote time synchronization is carried out, if the remote time synchronization fails, a work order is triggered, the time synchronization of a maintainer on site is required, and the judgment is finished; if the time synchronization is successful, prompting that the remote time synchronization is successful, and ending the judgment.
4. The auxiliary diagnosis method for line loss abnormality of transformer area according to claim 2, characterized in that: the method for diagnosing the high loss or negative loss abnormality in the step S23 specifically includes the following steps:
step S231: judging whether the power utilization information acquisition system successfully acquires the data, if the acquisition success rate is less than 100%, determining that the acquisition fails, otherwise, executing the step S232; if the acquisition fails, displaying a failed user, triggering a work order, prompting to jump to acquisition operation and maintenance, and ending judgment;
step S232: if the acquisition is successful, judging a high loss or negative loss type, judging the high loss or negative loss type as a negative loss distribution area when the line loss rate is less than 0, and judging the high loss distribution area as a typical S being 7% when the line loss rate is greater than a threshold S; and meanwhile, performing operation and acquisition file comparison, flow judgment, gateway table abnormity, photovoltaic power utilization check and low-voltage meter abnormity check in parallel, and judging the type and the reason of high loss or negative loss.
5. The auxiliary diagnosis method for line loss abnormality of transformer area according to claim 4, characterized in that: in step S232, the operation and acquisition archive comparison rule is as follows: comparing whether the file information of the marketing system is inconsistent with the file information of the acquisition system, wherein the file information comprises the electric energy meter number, the running capacity, the meter count, the three-phase meter multiplying power and the gateway meter multiplying power; if the inconsistency information is displayed, ending the judgment; otherwise, entering a flow judgment; the flow judgment process is to judge whether a filed flow and an in-transit flow exist from the day when the offline loss of the transformer area is abnormal to the previous 3 days, and prompt detailed flow information after the judgment; judging a high loss or negative loss type, judging the high loss or negative loss type as a negative loss distribution area when the line loss rate is less than 0, and judging the high loss distribution area when the line loss rate is greater than a threshold value S, wherein the typical S is 7%; checking the wiring of the gateway table aiming at the abnormal problem of the gateway table, and finishing judgment if the wiring problem of the gateway table prompts the wiring problem of the gateway table; if the wiring problem of the gateway table is not related, other abnormal analysis of the gateway table is continued, the abnormal type of the gateway table is judged to be high loss or negative loss according to the table 2, and the abnormity of the gateway table is prompted; the photovoltaic power utilization is checked, whether photovoltaic collection is successful or not is checked, whether a reverse power collection task is configured or not is checked, whether a line loss statistical timing is added to be an internet gateway metering point or not is judged, whether a power generation gateway metering point is configured or not is judged, and photovoltaic abnormal information is prompted.
6. The auxiliary diagnosis method for line loss abnormality of transformer area according to claim 5, wherein: the specific content for judging whether the abnormal type of the gateway table is high loss or negative loss is as follows: if the wiring of the gateway meter is abnormal, the voltage, the current, the voltage phase angle, the current phase angle and the power factor of the gateway meter are not in the normal rangeIf the internal loss is high or negative, judging the loss to be high or negative; the normal ranges of the voltage, the current, the voltage phase angle, the current phase angle and the power factor of the gateway meter are respectively as follows: voltage of gateway meter: the three-phase voltage is normal within the range of + 7% to-10% under the standard of 220V; current: three-phase current>0, calling and measuring zero sequence current and zero sequence current<0.1 is normal; voltage phase angle: u shapeA＝0°，UB＝120±5°，UCNormal at 240 ± 5 °; current phase angle: i isA＝30±20°，IB＝150±20°，ICThe method comprises the steps of determining the normal state of a three-phase four-wire system at 270 +/-20 degrees, determining the power factor of more than 0.8, determining the normal state as high loss if the three-phase imbalance degree is larger than 15%, namely the imbalance degree of three-phase current for 2 continuous hours is larger than 15%, determining the high loss or the negative loss if the three-phase imbalance degree is larger than × 100%, determining the high loss or the negative loss if the three-phase imbalance degree is larger than 1.6 times of the rated capacity within 0.5 continuous hours, determining the negative loss if the three-phase imbalance degree is larger than 90%, determining the negative loss if the voltage anomaly occurs, namely the outlet voltage for 3 continuous hours is smaller than the rated voltage, determining the negative loss if the voltage phase failure occurs for 6 continuous hours, determining the phase failure if any one-phase voltage curve is all 0 or all empty, and determining the phase failure if all ABC three-phases of.
7. The auxiliary diagnosis method for line loss abnormality of transformer area according to claim 4, characterized in that: in step S232, the specific contents of the low pressure gauge abnormality check are: if the meter exceeds the capacity, namely a three-phase meter: considering the maximum demand and the user installation capacity as the excess capacity, wherein the maximum demand is multiplied by the magnification to be larger than the installation capacity; single-phase meter: the electric quantity is greater than 0.5 multiplied by contract capacity multiplied by 24h, hour freezing indication value collection is made, hour-level average load is calculated to be greater than the contract capacity, and if the capacity is considered to be over capacity, high loss or negative loss is judged; if the ammeter flies, namely (the electric quantity of the current day-the electric quantity of the yesterday) multiplied by the comprehensive multiplying power is larger than the maximum current multiplied by the rated voltage multiplied by 24 hours multiplied by 2, the judgment is made as negative loss; if the electric meter falls away, namely a single-phase user: judging whether the daily positive active total electric energy indicating value and the reverse active total electric energy indicating value are smaller than the previous day indicating value of-1;
three-phase users: judging that the daily positive/negative active total electric energy indication value and the forward (combined) reactive total electric energy indication value are less than the previous day indication value of-1, and judging that the loss is high; if the electricity meter stops running, namely the difference value of the positive and active total electric energy indication values of the electricity meter in one month is equal to 0, and any 1 point of the monitored current in the time period is more than 0.1A, judging that the loss is high; if the meter clock deviation, namely the absolute value of the difference value between the standard time and the calendar clock of the electric energy meter exceeds a threshold value K, and the value range of the K is 5min, judging that the loss is high or negative; if the zero live wire current abnormity occurs, the single-phase meter: if the zero line current is larger than or equal to the live line current multiplied by 1.5, the zero line current is judged to be high loss; if reverse word walking occurs, namely the non-photovoltaic users have no forward electric quantity and have reverse electric quantity, and the accumulated reverse electric quantity is greater than 0.1kWh in 7 days, the high loss is judged.
8. The auxiliary diagnosis method for line loss abnormality of transformer area according to claim 2, characterized in that: the specific content of step S24 is:
the high-loss or negative-loss transformer area usually fluctuates along with line loss, the line loss rate of one transformer area per month is selected as a line loss curve, and the data integrity of the line loss curve is required to be 100%; analyzing the abnormal condition of line loss fluctuation by adopting a difference coefficient; the difference coefficient is the ratio of the standard deviation and the mean of a set of data, and is calculated as follows:
selecting a certain area line loss rate of N days as a statistical object, wherein X isiThe line loss rate of a certain area on the ith day, typically N is the number of days of a month,
the average of the line loss rate of the station area in N days, the difference coefficient is an index for measuring and calculating the dispersion degree of the data, the size of the ratio represents the dispersion degree, the larger the absolute value of the difference coefficient is, the larger the dispersion degree of the data is, otherwise, the smaller the dispersion degree is; if the difference coefficient is larger than 0.3, the suspected abnormality is considered, and in order to more accurately judge the fluctuation abnormality, the threshold value is set to be 0.5; then, by judging the existence of the abnormal point,the result is more accurate, and the measuring point with the line loss rate value exceeding the average value plus two times of the standard deviation is generally regarded as an abnormal point; the transformer area comprises abnormal points which are line loss fluctuation transformer areas; if the line loss fluctuation abnormality of the transformer area is judged, analyzing the correlation of the line loss fluctuation abnormality, and otherwise, not analyzing;
aiming at the abnormal distribution room with line loss rate fluctuation, a Pearson correlation analysis algorithm is adopted to respectively analyze the influence degree of factors such as the electric quantity of each user under the distribution room, the acquisition success rate and the weather on the line loss of the distribution room, analyze the influence reasons of the line loss fluctuation of the distribution room and judge whether the line loss fluctuation of the distribution room is normal or not;
pearson's correlation coefficient formula:
in the formula XiIs the value of the i-th day line loss rate, YiThe related quantity for comparison comprises the electric quantity of the user, the acquisition success rate and the weather; if the correlation coefficient r is [0.8,1 ]]The interval shows a very strong positive correlation, if the correlation coefficient r is [ -0.8, -1 [)]Expressed as a very strong negative correlation, if the correlation coefficient r is [ -0.2,0.2 [)]Indicating very weak or no correlation, if the correlation coefficient r indicates weak correlation in other intervals.
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| CN116699499B (en) * | 2023-05-29 | 2024-04-12 | 浙江东鸿电子股份有限公司 | Ammeter precision and reliability automatic detection system |
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Application publication date: 20201016 |