Regional power auxiliary monitoring system based on transformer monitoring

Abstract

The application discloses a regional power auxiliary monitoring system based on transformer monitoring and relates to the technical field of power monitoring.The technical problem that in the specific monitoring process, power parameters may be misjudged due to value fluctuation, and in the actual processing process, the corresponding abnormal branch cannot be quickly found, which may affect the actual processing efficiency of the abnormal branch is solved.The abnormal electric energy meter with fluctuation is confirmed according to the obtained electric energy meter parameter value, the monitoring mode of layer-by-layer screening is adopted, the abnormal branch existing in the corresponding monitoring micro-period can be quickly found, the abnormal electric energy meter with fluctuation existing in the abnormal branch can also be quickly found, data of multiple different monitoring micro-periods are processed at the same time, the coverage of data processing is improved, all circuits and all electric energy meters can be covered, the effectiveness of transformer power auxiliary monitoring is improved, the efficiency of power auxiliary monitoring is improved to a certain extent, and external personnel can operate conveniently.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power monitoring, and particularly relates to a regional power auxiliary monitoring system based on transformer monitoring. BACKGROUND

[0002] A transformer is a device for changing alternating current voltage by using the principle of electromagnetic induction, and main components are a primary coil, a secondary coil and a core. Main functions include voltage transformation, current transformation, impedance transformation, isolation and voltage stabilization.

[0003] The application with the patent publication number CN111813005A belongs to the technical field of power monitoring, and particularly discloses an intelligent auxiliary cabinet type power monitoring system with 5G technology for a residential office, which comprises a backup power supply, an environment monitoring module and a voltage detection module. The backup power supply is electrically connected with the intelligent screen cabinet module through wires. The environment monitoring module is electrically connected with an alarm and early warning module, and the environment monitoring module is electrically connected with the intelligent screen cabinet module through wires. The voltage detection module is electrically connected with the alarm and early warning module through wires, and the voltage detection module is electrically connected with the intelligent screen cabinet module through wires. The monitoring module based on power monitoring can process the transmitted signals through an independent 5G chip, calculate the abnormal conditions at high speed, compare the historical data, control the monitoring computer through a remote control background, and make judgments and instructions for the monitoring system.

[0004] In the transformer monitoring area, an electric power auxiliary monitoring system is needed to monitor the electric power parameters. However, in the specific monitoring process, the electric power parameters may be misjudged due to the fluctuation of the values. In the actual processing process, the corresponding abnormal sub-meter cannot be quickly found, which affects the actual processing efficiency of the abnormal sub-meter. SUMMARY

[0005] The application aims to solve at least one of the technical problems in the prior art. To this end, the application provides a regional power auxiliary monitoring system based on transformer monitoring, which is used to solve the technical problem that in the specific monitoring process, the electric power parameters may be misjudged due to the fluctuation of the values, and in the actual processing process, the corresponding abnormal sub-meter cannot be quickly found, which affects the actual processing efficiency of the abnormal sub-meter.

[0006] To achieve the above-mentioned purpose, according to the embodiment of the first aspect of the application, a regional power auxiliary monitoring system based on transformer monitoring is provided, which comprises a branch data acquisition end, a power monitoring center and a display terminal.

[0007] The power monitoring center comprises a branch data analysis unit, a cycle planning unit, an abnormal branch confirmation unit, a power monitoring unit, a sub-meter recording unit and a sub-meter data analysis unit.

[0008] The shunt data acquisition end is configured to receive a plurality of output shunt current data of the transformer and transmit the received plurality of output shunt current data to the power monitoring center.

[0009] The shunt data analysis unit is configured to receive the transmitted plurality of output shunt current data, analyze the plurality of output shunt current data through a monitoring period determined by the period determination unit, determine abnormal shunts in different monitoring periods, and transmit the determined abnormal shunts to the abnormal shunt confirmation unit.

[0010] The abnormal shunt confirmation unit is configured to confirm abnormal shunts belonging to a monitoring micro-period according to the transmitted abnormal shunts of the monitoring micro-period, obtain a plurality of electric energy meter numbers of the abnormal shunts, and transmit the obtained plurality of electric energy meter numbers to the power monitoring unit.

[0011] The power monitoring unit is configured to receive the plurality of electric energy meter numbers, obtain different electric energy meter parameters of the abnormal shunts of the monitoring micro-period from the meter record unit according to the received electric energy meter numbers, and transmit the obtained different electric energy meter parameters of the abnormal shunts of the monitoring micro-period to the meter data analysis unit.

[0012] The meter data analysis unit is configured to receive the different electric energy meter parameters obtained by the power monitoring unit, confirm abnormal electric energy meters according to the received different electric energy meter parameters, and transmit the determined abnormal electric energy meter numbers and corresponding abnormal values to the display terminal.

[0013] Preferably, the specific manner of analyzing the plurality of output shunt current data by the shunt data analysis unit is as follows:

[0014] The monitoring period is determined by the period determination unit, wherein the monitoring period is set as T, the value of T is generally 12h, and the monitoring period T is divided into 12 monitoring micro-periods, each monitoring micro-period is separated by 1h.

[0015] A group of monitoring micro-periods is limited, and different output shunt current data is marked as FL i-k , wherein i represents different output shunts, k represents different time periods, and a group of time periods is provided in a group of monitoring micro-periods, each group of time periods is separated by 1s.

[0016] The plurality of output shunt current data FL i-k is sequentially compared with a preset parameter Y1, wherein the preset parameter Y1 is a preset value, when FL i-k < Y1, no processing is performed, otherwise, the corresponding output shunt current data FLi-k Marked as exceeding warning data;

[0017] Get the number of times the warning data exceeds the limit and the corresponding time parameters, and mark the number as CS i , mark the time parameter as SS i , using BD i =CS i ×C1+SS i ×C2 obtains the comparison parameter BD of different output branches i , where C1 and C2 are both preset fixed coefficient factors;

[0018] The comparison parameter BD i Compare with the preset parameter Y2, where the preset parameter Y2 is the preset value. i When <Y2, no processing is performed. Otherwise, the corresponding output branch is marked as an abnormal branch, and the abnormal branch i belonging to this monitoring microcycle is transmitted to the abnormal branch confirmation unit.

[0019] Preferably, the sub-meter recording unit records the parameters of multiple different electric energy sub-meters in the area monitored by the transformer, stores the recorded data, and retrieves it to the power monitoring unit.

[0020] Preferably, the sub-meter data analysis unit confirms the abnormal electricity consumption of the electric energy sub-meter in the following specific manner:

[0021] Mark different electric energy meter parameters as FB i-t-k , where t represents different electric energy sub-meters, k represents different time periods, i represents different abnormal branches, and the interval between each group of time periods is 1s;

[0022] The energy sub-meter parameters FB belonging to the same energy sub-meter i-t-k In chronological order, several groups of electric energy meter parameters FB are recorded. i-t-k Perform difference processing, and then perform absolute value processing after difference processing to obtain the fluctuation value BDZ of this electric energy sub-meter in different time periods k i-t-(k-1) , because k groups of electric energy meter parameters are processed by difference, k-1 groups of difference are obtained, so the fluctuation value BDZ i-t-(k-1) The subscript of is k-1;

[0023] The fluctuation values ​​BDZ of several groups belonging to the same electric energy sub-meter i-t-(k-1) Perform mean processing to obtain the fluctuation mean DBD to be compared i-t ;

[0024] The fluctuation mean DBD to be compared i-t Compare with the preset parameter Y3, where the preset parameter Y3 is the preset value. When DBD i-tWhen Y3, it represents that the fluctuation of the electric energy sub-meter is normal.

[0025] Preferably, the specific manner of confirming the electric energy sub-meter with power consumption anomaly by the sub-meter data analysis unit further comprises:

[0026] When DBD i-t When Y3, it represents that the fluctuation of the electric energy sub-meter is abnormal.

[0027] The number of the electric energy sub-meter with fluctuation anomaly is extracted and transmitted to the display terminal for external personnel to take timely countermeasures.

[0028] Compared with the prior art, the beneficial effects of the present application are that: through the monitoring period determined by the period determination unit, the output branch current data is analyzed to determine the abnormal branch in different monitoring periods, and the determined abnormal branch is transmitted to the abnormal branch confirmation unit, the number of occurrence of the abnormal branch alarm data and the time parameter are obtained, thereby obtaining the comparison reference value of different output branches, and the comparison reference value is compared with the preset parameter, the numerical value monitoring processing method makes the analyzed numerical value more accurate, and error caused by numerical value fluctuation is avoided.

[0029] The electric energy meter parameters allocated by the abnormal branch are obtained, and the electric energy meter with fluctuation anomaly is confirmed according to the obtained electric energy meter parameter value, the layer-by-layer screening monitoring method can quickly find the abnormal branch existing in the corresponding monitoring micro-period, and can quickly find the electric energy meter with fluctuation anomaly existing in the abnormal branch, and at the same time, the data of multiple different monitoring micro-periods is processed, the coverage of data processing is improved, all circuits and all electric energy meters can be covered, the effectiveness of transformer power auxiliary monitoring is improved, and the efficiency of power auxiliary monitoring is improved to a certain extent, which is convenient for external personnel to operate. BRIEF DESCRIPTION OF DRAWINGS

[0030] Figure 1 It is a schematic diagram of the principle framework of the present application. DETAILED DESCRIPTION

[0031] The technical solutions of the present application will be described below in conjunction with embodiments. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0032] Please refer to Figure 1 The present application provides a regional power auxiliary monitoring system based on transformer monitoring, which comprises a branch data acquisition end, a power monitoring center and a display terminal.

[0033] The shunt data acquisition end is electrically connected with the power monitoring center input end, and the power monitoring center is electrically connected with the display terminal input end;

[0034] The power monitoring center comprises a shunt data analysis unit, a cycle planning unit, an abnormal shunt confirmation unit, a power monitoring unit, a meter recording unit and a meter data analysis unit;

[0035] The shunt data analysis unit is electrically connected with the cycle planning unit input end, the shunt data analysis unit is electrically connected with the abnormal shunt confirmation unit input end, the abnormal shunt confirmation unit is electrically connected with the power monitoring unit input end, the power monitoring unit is bidirectionally connected with the meter recording unit, and the power monitoring unit is electrically connected with the meter data analysis unit input end;

[0036] The shunt data acquisition end is used for receiving a plurality of output shunt current data of the transformer, and transmitting the received plurality of output shunt current data to the power monitoring center;

[0037] The shunt data analysis unit receives the transmitted plurality of output shunt current data, analyzes the plurality of output shunt current data through the monitoring cycle planned by the cycle planning unit, determines the abnormal shunt in different monitoring cycles, and transmits the determined abnormal shunt to the abnormal shunt confirmation unit, wherein the specific way of analysis is:

[0038] The external personnel plans the monitoring cycle through the cycle planning unit, wherein the monitoring cycle is set as T, the value of T is generally 12h, and the monitoring cycle T is divided into 12 monitoring micro-periods, and each monitoring micro-period is 1h apart;

[0039] Limiting a group of monitoring micro-periods, different output shunt current data are marked as FL i-k , wherein i represents different output shunts, k represents different time periods, and a plurality of time periods are provided in a group of monitoring micro-periods, and each group of time periods is 1s apart;

[0040] The plurality of output shunt current data FL i-k are sequentially compared with a preset parameter Y1, wherein the preset parameter Y1 is a preset value, and the specific value is planned by the operator according to experience, when FL i-k <Y1, no processing is performed, otherwise, the corresponding output shunt current data FL i-k is marked as super alarm data;

[0041] The number of times of obtaining the super alarm data and the corresponding time parameter are obtained, and the number of times is marked as CS i , and the time parameter is marked as SS i, adopt BD i = CS i ×C1+SS i ×C2 get different output branch of the comparison of the value of BD i , wherein C1 and C2 are both preset fixed coefficient factor;

[0042] The comparison of the value of BD i With the preset parameter Y2, wherein the preset parameter Y2 is a preset value, and the specific value of the preset parameter Y2 is determined by the operator according to experience, when BD i When Y2, no processing is performed, otherwise, the corresponding output branch is marked as an abnormal branch, and the abnormal branch i belonging to the monitoring microcycle is transmitted to the abnormal branch confirmation unit.

[0043] The abnormal branch confirmation unit, according to the transmitted abnormal branch i of the monitoring microcycle, confirms the abnormal branch belonging to the monitoring microcycle, and obtains the multiple electric energy meter numbers of the abnormal branch, and transmits the obtained multiple electric energy meter numbers to the power monitoring unit;

[0044] The meter recording unit records the different electric energy meter parameters of multiple places in the monitored area of the transformer, and stores the recorded data for the power monitoring unit to retrieve;

[0045] The power monitoring unit receives multiple electric energy meter numbers, and according to the received electric energy meter numbers, obtains different electric energy meter parameters of the monitoring microcycle from the meter recording unit, and transmits the obtained different electric energy meter parameters of the abnormal branch belonging to the monitoring microcycle to the meter data analysis unit;

[0046] The meter data analysis unit receives different electric energy meter parameters obtained by the power monitoring unit, and according to the received different electric energy meter parameters, confirms the abnormal electric energy meter, and transmits the determined abnormal electric energy meter number and the corresponding abnormal value to the display terminal for external personnel to view, wherein the specific way of confirmation is:

[0047] Mark different electric energy meter parameters as FB i-t-k , wherein t represents different electric energy meters, k represents different time periods, and i represents different abnormal branches, wherein each group of time periods is separated by 1s;

[0048] The electric energy meter parameters FB i-t-k Belonging to the same electric energy meter are sequentially processed in the order of time, and several groups of electric energy meter parameters FB i-t-k Are processed by difference, and then by absolute value, to obtain the fluctuation value BDZi-t-(k-1) , because k groups of electric energy meter parameters are processed by difference, k-1 groups of difference are obtained, so the fluctuation value BDZ i-t-(k-1) The subscript is k-1 (k is 1 FB i-t-1 FB with k=2 i-t-2 Perform difference processing to obtain BDZ i-t-1 , FB with k=2 i-t-k FB with k=3 i-t-k Perform difference processing, and the difference processing method is based on the sorting method of k values);

[0049] The fluctuation values ​​BDZ of several groups belonging to the same electric energy sub-meter i-t-(k-1) Perform mean processing to obtain the fluctuation mean DBD to be compared i-t ;

[0050] The fluctuation mean DBD to be compared i-t Compare with the preset parameter Y3, where the preset parameter Y3 is a preset value, and the specific value of the preset parameter Y3 is determined by the operator based on experience. i-t When ≤Y3, it means the fluctuation of this electric energy sub-meter is normal; otherwise, it means the fluctuation of this electric energy sub-meter is abnormal;

[0051] The electric energy sub-meter numbers with abnormal fluctuations are extracted and transmitted to the display terminal so that external personnel can take timely response measures.

[0052] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0053] The working principle of the present invention is as follows: a plurality of output shunt current data transmitted are received in advance, and the plurality of output shunt current data are analyzed according to the monitoring period planned by the period planning unit, the abnormal shunts in different monitoring periods are determined, and the determined abnormal shunts are transmitted to the abnormal shunt confirmation unit, and the abnormal shunts are obtained according to the number of occurrences of the abnormal shunt over-alarm data and the time parameters, so as to obtain comparison parameters of different output shunts, and then the comparison parameters are compared with the preset parameters. By adopting this numerical monitoring and processing method, the analyzed numerical values ​​are made more accurate and no errors are caused by numerical fluctuations;

[0054] The electric energy meter parameters dispatched by the abnormal shunt are acquired again, and the electric energy meter with abnormal fluctuation is confirmed according to the acquired electric energy meter parameter values. In a layer-by-layer screening monitoring manner, the abnormal shunt existing in the corresponding monitoring micro-period can be quickly found, and the fluctuation abnormal electric energy meter existing in the abnormal shunt can also be quickly found. Meanwhile, the data of multiple different monitoring micro-periods are processed, the coverage of data processing is improved, all circuits and all electric energy meters can be covered, the effectiveness of transformer power auxiliary monitoring is improved, and the efficiency of power auxiliary monitoring is improved to a certain extent, which is convenient for external personnel to operate.

[0055] The above embodiments are only used to illustrate the technical method of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A regional power auxiliary monitoring system based on transformer monitoring, characterized in that, The power monitoring center comprises a branch data analysis unit, a cycle planning unit, an abnormal branch confirmation unit, a power monitoring unit, a meter record unit and a meter data analysis unit. The branch data acquisition end is configured to receive a plurality of output branch current data of the transformer and transmit the received plurality of output branch current data to the power monitoring center. The branch data analysis unit receives the transmitted plurality of output branch current data, analyzes the plurality of output branch current data through the monitoring cycle planned by the cycle planning unit, determines abnormal branches in different monitoring cycles, and transmits the determined abnormal branches to the abnormal branch confirmation unit. The abnormal branch confirmation unit confirms the abnormal branches belonging to the monitoring microcycle according to the transmitted abnormal branches of the monitoring microcycle, obtains a plurality of electric energy meter numbers of the abnormal branches, and transmits the obtained plurality of electric energy meter numbers to the power monitoring unit. The power monitoring unit receives the plurality of electric energy meter numbers, obtains different electric energy meter parameters of the monitoring microcycle from the meter record unit according to the received electric energy meter numbers, and transmits the obtained different electric energy meter parameters of the abnormal branches belonging to the monitoring microcycle to the meter data analysis unit. The branch data analysis unit receives the different electric energy meter parameters obtained by the power monitoring unit, confirms the electric energy meter with abnormal power consumption according to the received different electric energy meter parameters, and transmits the determined abnormal electric energy meter number and corresponding abnormal value to the display terminal. The branch data analysis unit analyzes the plurality of output branch current data in the following specific manner:

2. The transformer monitoring based regional power assistance monitoring system according to claim 1, characterized in that, The cycle planning unit plans the monitoring cycle, wherein the monitoring cycle is set as T, the value of T is generally 12h, and the monitoring cycle T is divided into 12 monitoring microcycles, each monitoring microcycle is separated by 1h. The meter record unit records a plurality of different electric energy meter parameters in the monitored area of the transformer, stores the record data, and provides the power monitoring unit with the record data. Define a single set of monitoring micro-periods, mark different output branch current data as FL i-k Where i represents different output branches, k represents different time periods, and there are several time periods in a single set of monitoring micro-periods, and each set of time periods is separated by 1s. sequentially comparing a plurality of output branch current data FL i-k with preset parameter Y1, wherein the preset parameter Y1 is a preset value, when FL i-k <Y1, no processing is performed, otherwise, the corresponding output branch current data FL i-k is marked as super warning data; Get the number of times the warning data exceeds the limit and the corresponding time parameters, and mark the number as CS i , mark the time parameter as SS i , using BD i =CS i ×C1+SS i ×C2 obtains the comparison parameter BD of different output branches i , where C1 and C2 are both preset fixed coefficient factors; comparing the reference value BD i with a preset parameter Y2, wherein the preset parameter Y2 is a preset value, and when BD i < Y2, no processing is performed, otherwise, the corresponding output branch is marked as an abnormal branch, and the abnormal branch i belonging to the monitoring micro-period is transmitted to the abnormal branch confirmation unit.

3. The transformer monitoring based regional power assistance monitoring system of claim 2, wherein, The meter data analysis unit confirms the electric energy meter with abnormal power consumption in the following specific manner:

4. The transformer monitoring based regional power assistance monitoring system of claim 3, wherein, The meter data analysis unit confirms the electric energy meter with abnormal power consumption in the following specific manner: Different electric energy sub-meter parameters are marked as FB i-t-k wherein t represents different electric energy sub-meters, k represents different time periods, and i represents different abnormal branch circuits, wherein each set of time periods is separated by 1 s; The electric energy sub-meter parameters FB belonging to the same electric energy sub-meter i-t-k In the order of time, a plurality of groups of electric energy sub-meter parameters FB are sequentially obtained i-t-k The difference value processing is performed, and then the absolute value processing is performed, to obtain the fluctuation value BDZ of the electric energy sub-meter in different time periods k i-t-(k-1) Because the difference value processing is performed on the k groups of electric energy sub-meter parameters, k-1 groups of difference values are obtained, so that the subscript of the fluctuation value BDZ is k-1 i-t-(k-1) ; several groups of fluctuation values BDZ belonging to the same electric energy sub-meter i-t-(k-1) mean value processing is performed to obtain the mean value DBD of the to-be-compared fluctuation i-t ; The DBD to be compared is compared with a preset parameter Y3, where the preset parameter Y3 is a preset value, and when DBD i-t is less than Y3, it represents that the fluctuation of the electric energy distribution table is normal. i-t is less than Y3, it represents that the fluctuation of the electric energy distribution table is normal.

5. The transformer monitoring based regional power assistance monitoring system of claim 4, wherein, The meter data analysis unit extracts the electric energy meter number with fluctuation abnormality, transmits the extracted electric energy meter number to the display terminal, and provides external personnel with timely response measures. When DBD i-t Y3 represents that the electric energy sub-meter fluctuation is abnormal; ​

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