CN108665186B - Distribution transformer overload power failure monitoring method and device based on metering automation system - Google Patents
Distribution transformer overload power failure monitoring method and device based on metering automation system Download PDFInfo
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- CN108665186B CN108665186B CN201810497367.7A CN201810497367A CN108665186B CN 108665186 B CN108665186 B CN 108665186B CN 201810497367 A CN201810497367 A CN 201810497367A CN 108665186 B CN108665186 B CN 108665186B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a distribution transformer overload power failure monitoring method based on a metering automation system, which comprises the following steps: acquiring load data of the distribution transformer at every preset data acquisition moment, and judging whether the distribution transformer is a heavy-load distribution transformer or an overload distribution transformer according to the load data; and acquiring power failure event information, analyzing the overload distribution transformer and the overload distribution transformer by combining the power failure event information, and screening out the distribution transformer with power failure caused by heavy overload. The invention can greatly improve the technical means of monitoring the distribution transformer heavy overload, realize the real-time monitoring of the distribution transformer load rate running state by means of data analysis, greatly improve the monitoring efficiency, accuracy and reliability, and simultaneously can accurately comb out the power failure distribution transformer caused by heavy overload when the abnormal power failure reason of the distribution transformer is analyzed, thereby effectively improving the defect processing of the power failure distribution transformer.
Description
Technical Field
The invention relates to the technical field of metering automation, in particular to a distribution transformer overload power failure monitoring method and device based on a metering automation system.
Background
The metering automation system realizes the acquisition of related original data of metering equipment of an electric power system, covers all transformer substations, power plants, special transformers, public transformers and low-voltage transformer district users in an area range, integrates related functions of metering systems and electric energy data platforms of original various cities by a provincial level centralized metering system, realizes the provincial management of metering services and data, realizes data interaction and information integration with external systems such as a network level electric energy data platform system, a provincial level marketing management information system and the like, provides comprehensive metering service application and data analysis, and provides technical means for the fine management of the provincial level regional metering services.
Distribution transformers (hereinafter referred to as distribution transformers) are important power supply equipment in a power distribution network system, a Guangdong power grid metering automation system achieves full coverage of a total-provincial distribution transformer terminal, and the system collects distribution transformer operation data through a metering automation distribution transformer monitoring terminal installed on site and monitors operation states. The online rate of the distribution and transformation monitoring terminal of the metering automation system is more than 98%, the data acquisition integrity rate is more than 99%, and the real-time performance and integrity of data acquisition lay a solid foundation for the completion of the monitoring of the distribution and transformation running state of the metering system.
At present, no effective method exists for monitoring overload and overload of the distribution transformer operation state, and the overload prediction is still the traditional manual analysis and empirical judgment. Meanwhile, due to the lack of a real-time load rate monitoring means of the distribution transformer, the analysis accuracy of reasons after abnormal power failure of the distribution transformer is low, the efficiency is low, the error is large, and the reliability is low.
Therefore, at present, the heavy load and overload of the distribution transformer can only be predicted by manual experience, and whether the power failure of the distribution transformer is caused by long-term heavy load and overload can not be analyzed, which is a technical problem to be solved by technical personnel in the field.
Disclosure of Invention
The invention provides a distribution transformer heavy overload and power failure monitoring method and device based on a metering automation system, which are used for solving the technical problems that the current distribution transformer heavy load and overload can only be predicted by manual experience, and whether the distribution transformer power failure is caused by long-term heavy load and overload can not be analyzed.
The invention provides a distribution transformer overload power failure monitoring method based on a metering automation system, which comprises the following steps:
acquiring load data of distribution transformers once every preset data acquisition moment, judging whether more than n continuous distribution transformer load rates ranging from 80% to 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as heavy-load distribution transformer, and simultaneously judging whether more than n continuous distribution transformer load rates larger than 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as overload distribution transformer, wherein n is a preset parameter;
and acquiring power failure event information, analyzing the overload distribution transformer and the overload distribution transformer by combining the power failure event information, and screening out the distribution transformer with power failure caused by heavy overload.
Preferably, the acquiring the outage event information, analyzing the overload distribution transformer and the overload distribution transformer by combining the outage event information, and screening out the distribution transformer with outage caused by heavy overload specifically includes:
acquiring power failure event information corresponding to the heavy-load distribution transformer and the overload distribution transformer, extracting the heavy-load distribution transformer or the overload distribution transformer to be analyzed one by one, and executing the following judgment steps:
judging whether the continuous power failure duration of the distribution transformer is greater than a first preset time or not according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extracting step;
judging whether other distribution transformers in the same line of the distribution transformer have power failure events within a preset time range before and after the power failure time according to the power failure event information corresponding to the distribution transformer, if not, entering the next step, and if so, returning to the extraction step;
judging whether the distribution transformer load rate corresponding to a first preset number of data acquisition moments before power failure of the distribution transformer is greater than the maximum load rate of the corresponding natural day multiplied by 85% according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extracting step;
and recording the distribution change as the distribution change with power failure caused by heavy overload, and returning to the extraction step.
Preferably, before recording that the distribution transformer is a distribution transformer with power failure caused by heavy overload, the method further comprises the following judging steps:
and judging whether the distribution transformer load rate corresponding to a second preset number of data acquisition moments before power failure is greater than 100% or not according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extraction step.
Preferably, before recording that the distribution transformer is a distribution transformer with power failure caused by heavy overload, the method further comprises the following judging steps:
and judging whether the load curves of the distribution transformer on two natural days before and after power failure have breakpoint intervals or not according to the power failure event information corresponding to the distribution transformer, wherein the breakpoint intervals are more than the preset number, if not, entering the next step, and if so, returning to the extraction step.
Preferably, before recording the distribution change as a distribution change with power failure caused by heavy overload, the method further comprises a rejection step:
and judging whether the load of the distribution transformer is 0, if so, recording that the distribution transformer is not the distribution transformer with power failure caused by heavy overload, returning to the extraction step, and if not, entering the next step.
Preferably, before recording the distribution change as a distribution change with power failure caused by heavy overload, the method further comprises a rejection step:
and judging whether the maximum load of the natural day corresponding to the distribution transformer power failure is greater than the maximum load of the day 15 before the natural day, if so, recording that the distribution transformer is not the distribution transformer with power failure caused by heavy overload, returning to the extraction step, and if not, entering the next step.
Preferably, before recording the distribution change as a distribution change with power failure caused by heavy overload, the method further comprises a rejection step:
and judging whether the load of a third preset number of data acquisition times before the power failure time of the distribution transformer is smaller than the maximum load of 15 days before the natural day corresponding to the power failure of the distribution transformer, if so, recording that the distribution transformer is not the power failure distribution transformer caused by heavy overload, returning to the extraction step, and if not, entering the next step.
Preferably, the distribution transformation load rate is calculated by the following formula: the distribution transformer load rate is equal to the apparent power output by the transformer divided by the rated capacity of the transformer.
The invention provides a distribution transformer overload power failure monitoring device based on a metering automation system, which comprises:
a memory to store instructions;
a processor coupled to the memory, the processor configured to perform a method implemented as described above based on instructions stored by the memory.
The invention provides a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the distribution transformer overload and power failure monitoring method based on the metering automation system.
According to the technical scheme, the invention has the following advantages:
the invention provides a distribution transformer overload power failure monitoring method based on a metering automation system, which comprises the following steps: acquiring load data of distribution transformers once every preset data acquisition moment, judging whether more than n continuous distribution transformer load rates ranging from 80% to 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as heavy-load distribution transformer, and simultaneously judging whether more than n continuous distribution transformer load rates larger than 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as overload distribution transformer, wherein n is a preset parameter; and acquiring power failure event information, analyzing the overload distribution transformer and the overload distribution transformer by combining the power failure event information, and screening out the distribution transformer with power failure caused by heavy overload. The invention can greatly improve the technical means of monitoring the distribution transformer heavy overload, realize the real-time monitoring of the distribution transformer load rate running state by means of data analysis, greatly improve the monitoring efficiency, accuracy and reliability, and simultaneously can accurately comb out the power failure distribution transformer caused by heavy overload when the abnormal power failure reason of the distribution transformer is analyzed, thereby effectively improving the defect processing of the power failure distribution transformer.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a schematic diagram of an embodiment of a distribution transformer overload and power outage monitoring method based on a metering automation system according to the present invention;
fig. 2 is a schematic diagram of another embodiment of a distribution transformer overload and power outage monitoring method based on a metering automation system according to the present invention.
Detailed Description
The invention provides a distribution transformer heavy overload and power failure monitoring method and device based on a metering automation system, which are used for solving the technical problems that the current distribution transformer heavy load and overload can only be predicted by manual experience, and whether the distribution transformer power failure is caused by long-term heavy load and overload can not be analyzed.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of a distribution transformer overload and power outage monitoring method based on a metering automation system according to the present invention includes:
101. acquiring load data of distribution transformers once every preset data acquisition moment, judging whether more than n continuous distribution transformer load rates ranging from 80% to 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as heavy-load distribution transformer, and simultaneously judging whether more than n continuous distribution transformer load rates larger than 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as overload distribution transformer, wherein n is a preset parameter;
102. and acquiring power failure event information, analyzing the overload distribution transformer and the overload distribution transformer by combining the power failure event information, and screening out the distribution transformer with power failure caused by heavy overload.
n can be 3, and the preset data acquisition time can be 15 minutes, namely 1 time of acquisition of distribution load data every 15 minutes.
The above is a detailed description of an embodiment of the distribution transformer overload and power outage monitoring method based on the metering automation system, and the following is a detailed description of another embodiment of the distribution transformer overload and power outage monitoring method based on the metering automation system.
Referring to fig. 2, another embodiment of the distribution transformer overload and power outage monitoring method based on a metering automation system according to the present invention includes:
201. acquiring load data of distribution transformers once every preset data acquisition moment, judging whether more than n continuous distribution transformer load rates ranging from 80% to 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as heavy-load distribution transformer, and simultaneously judging whether more than n continuous distribution transformer load rates larger than 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as overload distribution transformer, wherein n is a preset parameter;
202. acquiring power failure event information corresponding to the heavy-load distribution transformer and the overload distribution transformer, and extracting the heavy-load distribution transformer or the overload distribution transformer to be analyzed one by one; (can be extracted and analyzed one by one or simultaneously)
203. Judging whether the continuous power failure duration of the distribution transformer is greater than a first preset time or not according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extracting step;
the first preset time can be 2 hours, the time for rush repair based on overload burning of distribution transformer is generally more than 2 hours, and 2 hours is the optimal value;
204. judging whether other distribution transformers in the same line of the distribution transformer have power failure events within a preset time range before and after the power failure time according to the power failure event information corresponding to the distribution transformer, if not, entering the next step, and if so, returning to the extraction step;
the preset time range before and after the power failure time refers to a time (generally 5 minutes) which is continued before and after the power failure time is taken as a reference, for example, the power failure time is 3 to 5 points, and the preset time range before and after the power failure time can be 2 to 55 to 5 points; the method comprises the steps of (the power failure of a transformer hung below a line can be caused by the power failure of the line, generally, the power failure of the transformer hung below the line is within 2 minutes of the power failure starting time of the transformer under the same line, and the influence of the power failure of the line is eliminated through the rule.
205. Judging whether the distribution transformer load rate corresponding to a first preset number of data acquisition moments before power failure of the distribution transformer is greater than the maximum load rate of the corresponding natural day multiplied by 85% according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extracting step;
the first preset number may be 2;
206. and judging whether the distribution transformer load rate corresponding to a second preset number of data acquisition moments before power failure is greater than 100% or not according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extraction step.
The second preset number may be 2; namely, the distribution transformer is in an overload state before power failure;
207. and judging whether the load curves of the distribution transformer on two natural days before and after power failure have breakpoint intervals or not according to the power failure event information corresponding to the distribution transformer, wherein the breakpoint intervals are more than the preset number, if not, entering the next step, and if so, returning to the extraction step.
The preset number may be 2; because the field distribution transformer monitoring terminal and the metering system master station interact through a wireless public network (GPRS/CDMA) of an operator, unstable communication possibly exists in part of regions due to busy wireless public network, and further the distribution transformer load data acquisition loss in the metering system is caused.
208. And judging whether the load of the distribution transformer is 0, if so, recording that the distribution transformer is not the distribution transformer with power failure caused by heavy overload, returning to the extraction step, and if not, entering the next step.
209. And judging whether the maximum load of the natural day corresponding to the distribution transformer power failure is greater than the maximum load of the day 15 before the natural day, if so, recording that the distribution transformer is not the distribution transformer with power failure caused by heavy overload, returning to the extraction step, and if not, entering the next step.
210. And judging whether the load of a third preset number of data acquisition times before the power failure time of the distribution transformer is smaller than the maximum load of 15 days before the natural day corresponding to the power failure of the distribution transformer, if so, recording that the distribution transformer is not the power failure distribution transformer caused by heavy overload, returning to the extraction step, and if not, entering the next step.
The third preset number may be 2;
211. and recording the distribution change as the distribution change with power failure caused by heavy overload, and returning to the extraction step.
The calculation formula of the distribution transformer load rate is as follows: the distribution transformer load rate is equal to the apparent power output by the transformer divided by the rated capacity of the transformer.
According to the present embodiment, the following application example can be obtained:
the metering automation system collects 1 time of distribution and transformation load data every 15 minutes, and when the single-day occurrence of continuous 3 or more collection times (namely 30 minutes) is measured that the distribution and transformation load rate is more than 80% and less than or equal to 100%, the distribution and transformation is regarded as the heavy-load distribution and transformation; when the load rate of the distribution transformer is more than 100%, the distribution transformer is considered as overload distribution transformer. The transformer load factor is the ratio of the apparent power output by the transformer to the rated capacity of the transformer, i.e. the load factor is 100% of the apparent power/rated capacity. The rated capacity is the property of the equipment when the distribution transformer is generated, the apparent power is the square root of the square sum of the active power and the reactive power, the active power is the voltage multiplied by the current multiplied by the power factor, and the apparent power is the voltage vector multiplied by the current vector.
And the metering system monitors the heavy overload information of the distribution transformer in real time and carries out alarm reminding on the distribution transformer with overload.
And the metering system power failure event automatic counting function analyzes the distribution transformer with overload and screens out the distribution transformer with power failure in the overload distribution transformer. Based on the principle that power failure can be caused by overload burning of the distribution transformer, the distribution transformer with power failure caused by overload is preliminarily screened out according to the following judgment conditions by combining with the power failure event.
Judgment condition 1: the continuous power failure duration is more than 2 hours (the judgment condition is that the time for carrying out emergency repair based on the overload burning of the distribution transformer is generally more than 2 hours).
Judgment condition 2: the method is characterized in that the transformer power failure caused by non-line power failure (the line power failure can cause the power failure of the transformer hung below the line, generally, the power failure influence of the transformer under the same line is eliminated within 2 minutes of the power failure starting time of the transformer under the same line, namely, whether the other distribution transformers under the same distribution transformer have the same power failure at the similar time (considering the signal reporting time, the threshold value can be determined to be 5 minutes) is judged, and if the power failure starting time is similar and the power restoration time is also similar, the power failure of the line is judged.
Judgment condition 3: the distribution and transformation load is greater than 85% of the maximum load on the day at 2 data acquisition times before the power failure time. (or the distribution transformation load rate is greater than the maximum load rate 85% on the day at 2 data acquisition moments before the power failure moment, namely the distribution transformation load rate is in a continuous heavy overload state).
Judgment condition 4: the load rates of 2 data acquisition times before the power failure of the distribution transformer exceed 100 percent, namely the distribution transformer is in an overload state before the power failure.
Judgment condition 5: the number of load curve breakpoint intervals before and after the day of power failure of the distribution transformer is larger than 2. The judgment condition is based on the fact that a site distribution transformer monitoring terminal and a metering system master station interact through a wireless public network (GPRS/CDMA) of an operator, and communication instability possibly exists in a part of regions due to busy wireless public network, so that the distribution transformer load data acquisition loss in the metering system is caused.
Based on the judgment conditions, the statistical analysis of the power failure of the heavy overload distribution transformer is realized by using a metering system, and the judged distribution transformer is subjected to elimination operation according to the following 3 elimination conditions:
1) and (4) eliminating the distribution transformer with the load of 0, wherein the distribution transformer does not run when the load of 0 is 0.
2) The maximum load of the distribution transformer on the day is smaller than the maximum load of the first 15 days.
3) And the loads of the two acquisition moments before the power failure moment of the distribution transformer are smaller than the maximum load of the first 15 days.
And the metering system master station monitors and analyzes the distribution transformer with power failure caused by heavy overload according to the judgment condition and the elimination condition.
Meanwhile, for the prediction of the change trend of the distribution transformer load rate, the related method is as follows:
the method comprises the following steps: according to the load data of the metering automation system, the load measurement data is compared with the measurement data in the same period of the last two years, the load increase rate is predicted, and then according to the load situation of the distribution transformer in the special period of the last two years (such as spring festival and Qingming festival), the maximum load of the distribution transformer in the recent period or the special period is predicted according to the predicted load increase rate. When the maximum load of the distribution transformer is predicted, the metering system can set factors such as weather and air temperature parameters, load property parameters of an access user, electric quantity growth rate parameters and the like to form a comprehensive judgment system, and a load prediction result is corrected.
The method 2 comprises the following steps: for the distribution transformer mainly supplying power to low-voltage resident users, the recent maximum load of the distribution transformer can be predicted according to the product of the number of users accessed by the distribution transformer, the power consumption of each user and the power consumption synchronization rate, the regional power quantity growth trend and the like.
The key points of the method are as follows:
1. the design of real-time monitoring of distribution transformer weight overload based on a metering system master station;
2. based on the judgment condition and the realization mode of the metering system for power failure caused by distribution transformer heavy overload;
3. based on the removing condition of the metering system to the overload and power failure of the distribution transformer;
4. the distribution transformer overload monitoring method and the technical means based on the metering automation master station system with high reliability and convenience are provided;
the method provides the distribution transformer overload power failure monitoring method based on the metering automation system, realizes the technical support of the metering system on the distribution transformer overload running state, greatly improves the monitoring efficiency and accuracy of the distribution transformer running state, improves the efficiency of the distribution transformer running state monitoring and operation and maintenance assistance, and reduces the manpower resource waste of the actual operation and maintenance work.
The invention provides a distribution transformer overload power failure monitoring device based on a metering automation system, which comprises:
a memory to store instructions;
a processor coupled to the memory, the processor configured to execute, based on instructions stored by the memory, a method of monitoring distribution transformer overload and power outage implementing a metering automation system based distribution transformer as described above.
The invention provides a computer readable storage medium, a computer program is stored on the computer readable storage medium, and the computer program is executed by a processor to realize the steps of the distribution transformer overload power failure monitoring method based on the metering automation system.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. Distribution transformer overload power failure monitoring method based on metering automation system is characterized by comprising the following steps:
acquiring load data of distribution transformers once every preset data acquisition moment, judging whether more than n continuous distribution transformer load rates ranging from 80% to 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as heavy-load distribution transformer, and simultaneously judging whether more than n continuous distribution transformer load rates larger than 100% exist in a natural day corresponding to each distribution transformer in the load data, if so, recording the distribution transformer as overload distribution transformer, wherein n is a preset parameter;
acquiring power failure event information corresponding to the heavy-load distribution transformer and the overload distribution transformer, extracting the heavy-load distribution transformer or the overload distribution transformer to be analyzed one by one, and executing the following judgment steps:
judging whether the continuous power failure duration of the distribution transformer is greater than a first preset time or not according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extracting step;
judging whether other distribution transformers in the same line of the distribution transformer have power failure events within a preset time range before and after the power failure time according to the power failure event information corresponding to the distribution transformer, if not, entering the next step, and if so, returning to the extraction step;
judging whether the distribution transformer load rate corresponding to a first preset number of data acquisition moments before power failure of the distribution transformer is greater than the maximum load rate of the corresponding natural day multiplied by 85% according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extracting step;
judging whether the maximum load of the natural day corresponding to the distribution transformer power failure is larger than the maximum load of the 15 days before the natural day, if so, recording that the distribution transformer is not the distribution transformer with power failure caused by heavy overload, and returning to the extraction step, otherwise, entering the next step;
judging whether the load of a third preset number of data acquisition moments before the power failure moment of the distribution transformer is smaller than the maximum load of 15 days before the natural day corresponding to the power failure of the distribution transformer, if so, recording that the distribution transformer is not the power failure distribution transformer caused by heavy overload, returning to the extraction step, and if not, entering the next step;
and recording the distribution change as the distribution change with power failure caused by heavy overload, and returning to the extraction step.
2. The metering automation system-based distribution transformer heavy overload power outage monitoring method as claimed in claim 1, wherein the method further comprises a judging step before recording the distribution transformer as a distribution transformer with power outage caused by heavy overload:
and judging whether the distribution transformer load rate corresponding to a second preset number of data acquisition moments before power failure is greater than 100% or not according to the power failure event information corresponding to the distribution transformer, if so, entering the next step, and if not, returning to the extraction step.
3. The metering automation system-based distribution transformer heavy overload power outage monitoring method as claimed in claim 1, wherein the method further comprises a judging step before recording the distribution transformer as a distribution transformer with power outage caused by heavy overload:
and judging whether the load curves of the distribution transformer on two natural days before and after power failure have breakpoint intervals or not according to the power failure event information corresponding to the distribution transformer, wherein the breakpoint intervals are more than the preset number, if not, entering the next step, and if so, returning to the extraction step.
4. The metering automation system-based distribution transformer heavy overload power outage monitoring method as claimed in claim 1, wherein the method further comprises a rejection step before the recording of the distribution transformer as the distribution transformer with power outage caused by heavy overload:
and judging whether the load of the distribution transformer is 0, if so, recording that the distribution transformer is not the distribution transformer with power failure caused by heavy overload, returning to the extraction step, and if not, entering the next step.
5. The metering automation system-based distribution transformer overload and power failure monitoring method according to claim 1, wherein the distribution transformer load rate is calculated by the following formula: the distribution transformer load rate is equal to the apparent power output by the transformer divided by the rated capacity of the transformer.
6. Join in marriage transformer heavy overload power failure monitoring devices based on measurement automation system, its characterized in that includes:
a memory to store instructions;
a processor coupled to the memory, the processor configured to perform implementing the method of any of claims 1-5 based on instructions stored by the memory.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the metering automation system based distribution weight overload and power outage monitoring method according to any one of claims 1 to 5.
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| CN109583086A (en) * | 2018-11-30 | 2019-04-05 | 国网河北省电力有限公司电力科学研究院 | Distribution transformer heavy-overload prediction technique and terminal device |
| CN109583790A (en) * | 2018-12-21 | 2019-04-05 | 广东电网有限责任公司 | Power distribution network active O&M method and system based on real-time monitoring |
| CN109919523A (en) * | 2019-04-10 | 2019-06-21 | 广州锐敏信息科技有限公司 | The power grid peak load and heavy-overload big data analysis method calculated based on MapReduce polymerization |
| CN110850199B (en) * | 2019-10-28 | 2022-03-08 | 国网福建省电力有限公司 | Power distribution network line heavy overload monitoring method |
| CN110807550B (en) * | 2019-10-30 | 2023-11-24 | 国网上海市电力公司 | Distribution transformer overload recognition and early warning method based on neural network and terminal equipment |
| CN110990387B (en) * | 2019-11-29 | 2024-02-27 | 广东电网有限责任公司 | Power failure record error processing method and device for electric energy metering equipment |
| CN112800577A (en) * | 2020-12-17 | 2021-05-14 | 北京国电通网络技术有限公司 | Method and device for analyzing overload reason of distribution transformer and electronic equipment |
| CN113434496A (en) * | 2021-07-15 | 2021-09-24 | 广东电网有限责任公司 | Distribution transformer weight overload real-time monitoring system method, system and computer medium |
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| CN101846708B (en) * | 2010-05-05 | 2012-02-01 | 广东电网公司电力科学研究院 | Method for detecting power-failure counting function of distribution transformer terminals in batch |
| CN106557991B (en) * | 2016-11-04 | 2020-09-22 | 广东电网有限责任公司电力科学研究院 | Voltage monitoring data platform |
| CN106707100A (en) * | 2016-12-07 | 2017-05-24 | 广东电网有限责任公司湛江供电局 | Method and system for implementing power failure judgement of 10kV branch line |
| CN107147215A (en) * | 2017-05-16 | 2017-09-08 | 国网山东省电力公司 | The Distribution Fault Location System and method of combined circuit overload data analysis |
| CN107862626A (en) * | 2017-11-03 | 2018-03-30 | 广东电网有限责任公司电力科学研究院 | A kind of real-time power failure monitoring method and device based on measuring terminal warning information |
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