CN114400766A - OMS scheduling intelligent analysis system and method - Google Patents
OMS scheduling intelligent analysis system and method Download PDFInfo
- Publication number
- CN114400766A CN114400766A CN202111316450.8A CN202111316450A CN114400766A CN 114400766 A CN114400766 A CN 114400766A CN 202111316450 A CN202111316450 A CN 202111316450A CN 114400766 A CN114400766 A CN 114400766A
- Authority
- CN
- China
- Prior art keywords
- line
- trip
- data
- distribution network
- accident
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
-
- 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
- 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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- 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
- Y04S10/16—Electric power substations
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to an OMS (operation management system) scheduling intelligent analysis system and method. The invention can monitor all 10kV lines of the distribution network in real time, is convenient for a dispatcher to carry out statistical analysis on the heavily-overloaded lines and provide a correction suggestion, effectively shortens the time for the dispatcher to search and record information, improves the working efficiency of a regulator, liberates manpower, further perfects an intelligent alarm module, enables the dispatcher to quickly locate faults, and commands field first-aid repair personnel to quickly search and isolate the faults.
Description
Technical Field
The invention relates to the field of scheduling analysis, in particular to an OMS scheduling intelligent analysis system and method.
Background
With the continuous expansion of the distribution network scale and the continuous promotion of the improvement of the distribution network rack of the Kunming power supply office, the following problems still exist in partial 10kV lines:
1. the situation that the line diameter is small, the line current-carrying capacity is low and the transfer cannot be realized exists in the line with frequent heavy overload in winter, and a dispatcher cannot quickly and effectively control the load when the line is heavily overloaded.
2. The problem that partial single radiation and head end contact 10kV lines cannot be supplied or are insufficient in power supply is solved.
3. At present, the number of the users of the distribution network lines, the number of the users of the switch power supply and the distribution condition of the distribution transformer are not clear for a dispatcher, power failure events and grades caused by the tripping of the distribution network switches cannot be evaluated quickly when a fault tripping occurs, and a large amount of time and energy of the dispatcher need to be consumed for the statistics of tripping line data afterwards.
Disclosure of Invention
In order to solve the problems, the invention provides an OMS scheduling intelligent analysis system and method, which comprehensively analyze the number of power supply users and distribution transformer number of all section switches and branch switches of a distribution network, automatically evaluate the event grade caused by tripping of each distribution network switch based on the number of users influenced by power failure, perform statistics and reason analysis on frequent tripping circuits and automatically generate tripping data, can effectively reduce the workload of a dispatcher, and improve the working quality and efficiency.
The technical scheme of the invention is as follows:
an OMS dispatching intelligent analysis system comprises a data acquisition unit and a processing unit, wherein the processing unit comprises a heavy overload monitoring module and a fault tripping analysis module;
wherein: the method comprises the steps that a data acquisition unit acquires various real-time or historical data of a 10kV line of the transformer substation;
the heavy overload monitoring module performs the following processing: acquiring real-time data of a three-phase current of a 10kV outgoing line, and storing the acquired data in a distribution network OMS system; comparing and analyzing the 10kV outgoing line three-phase current with data of a distribution network 10kV line CT database; recording overload or overload information;
the fault trip analysis module performs the following processing:
when the trip data of a 10kV line is acquired, if the trip line is detected to be a power protection line, the generated trip record is matched with the trip accident event grade, and an accident trip grade is generated;
automatically counting the trip times of the 10kV line, matching the counted times with the trip accident event grade except for successful coincidence, and generating the accident trip grade and the trip times in trip information when the trip times of a certain 10kV line exceed the accident grade within 1 month;
after the 10kV line of the distribution network is tripped, calculating the load of line loss according to the acquired alarm message and the current and voltage data, and recording and counting the reason causing the trip after the fault is found, so that a dispatcher can conveniently analyze the problems of the line.
Furthermore, the system also comprises an entry unit, and the entry unit is used for carrying out statistical entry on the CT fixed values of all 10kV lines administered by the power supply local distribution network, matching and corresponding the 10kV lines with the CT values thereof, and forming a distribution network 10kV line CT database.
Further, in a normal operation mode, the current-carrying capacity of the line is taken as a reference value, and the heavy load is realized when 80% of the feeder current exceeding the reference value within 1 day exceeds 15 minutes; overload is carried out when 100% of the reference value is exceeded and 15 minutes are exceeded; the heavy overload monitoring module identifies heavy load or overload information.
The invention also relates to an OMS scheduling intelligent analysis method, which is carried out as follows:
acquiring various real-time or historical data of a 10kV line of a transformer substation;
the heavy overload monitoring module performs the following processing: acquiring real-time data of a three-phase current of a 10kV outgoing line, and storing the acquired data in a distribution network OMS system; comparing and analyzing the 10kV outgoing line three-phase current with data of a distribution network 10kV line CT database; recording overload or overload information;
when the trip data of a 10kV line is acquired, if the trip line is detected to be a power protection line, the generated trip record is matched with the trip accident event grade, and an accident trip grade is generated;
automatically counting the trip times of the 10kV line, matching the counted times with the trip accident event grade except for successful coincidence, and generating the accident trip grade and the trip times in trip information when the trip times of a certain 10kV line exceed the accident grade within 1 month;
after the 10kV line of the distribution network is tripped, calculating the load of line loss according to the acquired alarm message and the current and voltage data, and recording and counting the reason causing the trip after the fault is found, so that a dispatcher can conveniently analyze the problems of the line.
The invention also relates to a computer system comprising a memory, a processor and a computer program running on the memory and on the processor, the processor implementing the steps of the above method when executing the computer program.
The invention also relates to an electronic device comprising a memory, a processor and a computer program running on the memory and on the processor, the processor implementing the steps of the method when executing the computer program.
The invention also relates to a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method.
Compared with the prior art, the invention has the following beneficial effects:
the invention can carry out real-time heavy overload monitoring on all 10kV lines of the distribution network, and is convenient for a dispatcher to carry out statistical analysis on the heavy overload lines and put forward an amendment suggestion.
In the 6 th month on line in 2021, until now, 31 lines in total of 10kV lines have a heavy overload condition, the lines with frequent heavy overload are preliminarily analyzed to find that the conditions of small CT transformation ratio, no contact point, incapability of transferring, uneven load distribution of dual-power users and the like exist in some lines, and the places to be improved in the lines need to be continuously analyzed and researched.
Through the fault trip analysis module, a dispatcher can quickly analyze the generated fault trip information, so that the time for the dispatcher to search and record information is effectively shortened, the working efficiency of a controller is improved, manpower is liberated, the intelligent alarm module is further improved, the dispatcher can quickly locate a fault, and field rush-repair personnel are instructed to quickly search and isolate the fault.
And thirdly, based on the rectification suggestion provided by the invention, the grid structure of the Kunming power grid can be upgraded and reformed, and the power supply reliability of the power grid is improved.
Drawings
FIG. 1 is a system block diagram of an OMS dispatch intelligence analysis system of the present invention;
fig. 2 shows a heavy overload monitoring result according to the present embodiment;
fig. 3 shows one of the results of the fault trip analysis of the present embodiment.
Detailed Description
The technical solutions in the embodiments will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples without making any creative effort, shall fall within the protection scope of the present application.
Unless otherwise defined, technical or scientific terms used in the embodiments of the present application should have the ordinary meaning as understood by those having ordinary skill in the art. The use of "first," "second," and similar terms in the present embodiments does not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. "mounted," "connected," and "coupled" are to be construed broadly and may, for example, be fixedly coupled, detachably coupled, or integrally coupled; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. "Upper," "lower," "left," "right," "lateral," "vertical," and the like are used solely in relation to the orientation of the components in the figures, and these directional terms are relative terms that are used for descriptive and clarity purposes and that can vary accordingly depending on the orientation in which the components in the figures are placed.
The OMS scheduling intelligent analysis system of this embodiment, on prior art's basis, based on joining in marriage net rack construction condition and OMS scheduling office system, carries out the upgrading transformation to the spatial grid structure of Kunming electric wire netting, improves the power supply reliability of electric wire netting. According to the heavy overload condition of the current 10kV line, statistical analysis is carried out on partial heavy overload, single radiation and head end transfer lines, and solution and rectification opinions are provided.
As shown in fig. 1, the OMS scheduling intelligent analysis system of this embodiment includes a data acquisition unit, an entry unit, and a processing unit, where the processing unit includes a heavy overload monitoring module and a fault trip analysis module.
Wherein: the data acquisition unit acquires various real-time or historical data of the 10kV line of the transformer substation.
The heavy overload monitoring module performs the following processing: acquiring real-time data of a three-phase current of a 10kV outgoing line, and storing the acquired data in a distribution network OMS system; comparing and analyzing the 10kV outgoing line three-phase current with data of a distribution network 10kV line CT database; recording overload or overload information; under a normal operation mode, taking the current-carrying capacity of a line as a reference value, and under the condition that the current of a feeder exceeds 80% of the reference value within 1 day and exceeds 15 minutes, the feeder is heavy; overload is carried out when 100% of the reference value is exceeded and 15 minutes are exceeded; the heavy overload monitoring module identifies heavy load or overload information.
The fault trip analysis module performs the following processing:
when the trip data of a 10kV line is acquired, if the trip line is detected to be a power protection line, the generated trip record is matched with the trip accident event grade, and an accident trip grade is generated;
automatically counting the trip times of the 10kV line, matching the counted times with the trip accident event grade except for successful coincidence, and generating the accident trip grade and the trip times in trip information when the trip times of a certain 10kV line exceed the accident grade within 1 month;
after the 10kV line of the distribution network is tripped, calculating the load of line loss according to the acquired alarm message and the current and voltage data, and recording and counting the reason causing the trip after the fault is found, so that a dispatcher can conveniently analyze the problems of the line.
And counting and recording the CT fixed values of all 10kV lines administered by the distribution network of the power supply office through a recording unit, and matching and corresponding the 10kV lines with the CT values thereof to form a distribution network 10kV line CT database.
In this embodiment, each item of real-time or historical data of a 10kV line of a transformer substation is acquired through an OPEN3000 system and a distribution network OMS system interface. After the information is acquired, a distribution network 10kV line database is established, the acquired data is logically analyzed through the database, the distribution network line heavy overload condition is analyzed in real time, and when the line is heavily overloaded, the fault information is transmitted to a corresponding OMS module through an intelligent alarm module to generate a corresponding record; and when the distribution network line trips, comparing various data before and after tripping, automatically generating a distribution network tripping accident grade and automatically counting tripping reasons.
The OMS scheduling intelligent analysis method of the embodiment comprises the following contents:
first, heavy overload monitoring
Data acquisition
The current and voltage data of a 10kV line of a distribution network are collected through an OPEN3000 system, the collected data are stored in a distribution network OMS system, and all data of an OMS scheduling intelligent analysis unit are extracted from the distribution network OMS system.
(II) establishing a database
1. Data entry
The CT fixed values of all 10kV lines governed by the distribution network of the Kunming power supply office are counted and recorded, and the 10kV lines are matched with the CT values of the 10kV lines to form a distribution network 10kV line CT database.
2. Data analysis
(1) Real-time data of 10kV outgoing line three-phase (A, B, C) current is acquired through an OPEN3000 system, and the acquired data are stored in a distribution network OMS system.
(2) And comparing and analyzing the 10kV outgoing line three-phase (A, B, C) current extracted by the distribution network OMS system with the data of the distribution network 10kV line CT database.
(3) In the normal operation mode, when the current capacity of the line is taken as a reference value, 80% (100%) of the feeder current exceeding the reference value within 1 day exceeds 15 minutes, the load is called overload.
(III) analysis and identification
1. Key word recognition of heavy load and overload "
(1) When the OMS system identifies a keyword heavy load signal, the signal is pushed to the feeder line heavy load module, and heavy load information is generated in the OMS system heavy load module.
(2) And when the OMS system identifies the keyword overload signal, pushing the signal to a feeder line heavy overload module, and generating overload information in the OMS system heavy overload module.
2. Discriminant logic analysis
(1) Judging the current-carrying capacity of the line according to the CT transformation ratio;
(2) when the current value of the feeder line continuously exceeds the safe current-carrying capacity (reference value) by 80-100% for 15 minutes, judging that the line is overloaded, and sending a 'overloading' signal;
(3) the current value of the feeder line continuously exceeds the safe current-carrying capacity (reference value) by 100 percent for 15 minutes, the overload of the line is judged, and an overload signal is sent.
Second, fault trip analysis
Data acquisition
The current and voltage data of a 10kV line of a distribution network are collected through an OPEN3000 system, the collected data are stored in a distribution network OMS system, and all data of an OMS scheduling intelligent analysis unit are extracted from the distribution network OMS system.
(II) establishing a database
1. Trip accident event
(1) When a distribution network 10kV line trips, if the line is a power protection line, a possibility of causing a power production safety accident exists (the accident level is not reached to one level).
(2) When a 10kV line of a distribution network trips, if the same 10kV line trips frequently within 1 month (except for successful coincidence), the possibility of causing a power production safety accident exists (the accident level is not reached to six levels).
(3) When the 10kV line of the distribution network is tripped, if the loss load is large, more users are influenced, and the possibility of causing power production safety accidents exists (the accident level is not reached to six level)
2. Multi-system data acquisition
Alarm message information and current and voltage data are collected through an OPEN3000 system, a distribution network OMS system and a metering automation system, the collected data are stored in the distribution network OMS system, and all data of an OMS scheduling intelligent analysis unit are extracted from the distribution network OMS system.
3. Trip analysis
When a 10kV line of a distribution network trips, a distribution network OMS system collects and stores alarm messages and current and voltage data sent by an OPEN3000 system; and pushing the trip circuit information to an accident trip module through an OMS intelligent alarm module to form a record according to the data and the alarm message of the 10kV circuit trip.
(1) When the OMS system obtains the trip data of a 10kV line, if the fact that the trip line is a power protection line is detected, the trip record generated by the OMS intelligent alarm module is automatically matched with the trip accident event grade to generate an accident trip grade (which can be manually changed);
(2) when the OMS system obtains the trip data of the 10kV line, the system automatically counts the trip times of the 10kV line (except for successful coincidence), the counted times are matched with the trip accident level, and when the trip times of a certain 10kV line exceed the accident level within 1 month, the accident trip level (which can be manually changed) and the trip times are automatically generated in the trip information.
(3) After the 10kV line of the distribution network is tripped, the OMS system can automatically calculate the load of the line loss according to the acquired alarm message and the current and voltage data, and record and count the reason causing the trip after the fault is found out, so that a dispatcher can conveniently analyze the problems of the line.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware.
The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when some of the above modules are implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a readable storage medium or transmitted from one readable storage medium to another readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
Optionally, an embodiment of the present application further provides a storage medium, where instructions are stored, and when the storage medium is run on a computer, the storage medium causes the computer to execute the method according to the embodiment described above.
Optionally, an embodiment of the present application further provides a chip for executing the instruction, where the chip is configured to execute the method in the foregoing illustrated embodiment.
The embodiments of the present application also provide a program product, where the program product includes a computer program, where the computer program is stored in a storage medium, and at least one processor can read the computer program from the storage medium, and when the at least one processor executes the computer program, the at least one processor can implement the method of the above-mentioned embodiments.
The specific application example of this embodiment is as follows:
heavy overload monitoring:
as shown in fig. 2, a rated CT value of a certain 10kV line is set as N, when the line normally operates, data of current I of 10kV outgoing line three-phase (A, B, C) is acquired in real time and stored in a distribution network OMS system, the current I of 10kV outgoing line three-phase (A, B, C) is compared with the CT value N in a database in real time, and heavy overload information is generated in an OMS heavy overload module when heavy overload occurs.
(1) When I/N <80, it shows that the line is not overloaded;
(2) when the I/N is more than 80 and less than 100 and the continuous operation is carried out for more than 15 minutes, pushing a line heavy-load signal, and generating heavy-load information through a feeder line heavy-load module;
(3) when the I/N is 100< I/N and the continuous operation is carried out for more than 15 minutes, a line overload signal is pushed, and overload information is generated through a feeder line overload module.
Fault trip analysis:
as shown in fig. 3, when receiving notification of XX from the master network dispatcher, the XX branch substation 10kV XX line trips, and the reclosing action is unsuccessful.
(1) When the OMS system obtains the trip data of the 10kV XX line, the OMS system automatically compares a protection power supply account to judge whether the line is a protection power supply line or not, and an accident grade module is not triggered when the line is detected not to be the protection power supply line; if the power supply line is protected, the accident grade module is triggered to automatically judge the accident grade.
(2) The OMS system records the trip times of the line for 1 month, judges whether the trip times exceed an accident rating, and if the trip times do not exceed the specified trip times, an accident rating module is not triggered; if the number of times exceeds the specified number, the accident grade module is triggered to automatically judge the accident grade.
(3) When the distribution network intelligent alarm module generates tripping information, loads before and after tripping of the line are compared, the current before tripping Is I1, the current after tripping Is I2, the loss load Is = I2/I1, and statistics Is carried out after the fault reason Is found.
The trip information is: and in XX, XX protection actions of an XX line of a 10kV XX transformer substation are tripped in XX, reclosing actions are unsuccessful, and 10kV XX line Is tripped for N times in X month, so that the accident grade Is XX and the loss load ratio Is.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. An OMS scheduling intelligent analysis system is characterized in that: the system comprises a data acquisition unit and a processing unit, wherein the processing unit comprises a heavy overload monitoring module and a fault tripping analysis module;
wherein: the method comprises the steps that a data acquisition unit acquires various real-time or historical data of a 10kV line of the transformer substation;
the heavy overload monitoring module performs the following processing: acquiring real-time data of a three-phase current of a 10kV outgoing line, and storing the acquired data in a distribution network OMS system; comparing and analyzing the 10kV outgoing line three-phase current with data of a distribution network 10kV line CT database; recording overload or overload information;
the fault trip analysis module performs the following processing:
when the trip data of a 10kV line is acquired, if the trip line is detected to be a power protection line, the generated trip record is matched with the trip accident event grade, and an accident trip grade is generated;
automatically counting the trip times of the 10kV line, matching the counted times with the trip accident event grade except for successful coincidence, and generating the accident trip grade and the trip times in trip information when the trip times of a certain 10kV line exceed the accident grade within 1 month;
after the 10kV line of the distribution network is tripped, calculating the load of line loss according to the acquired alarm message and the current and voltage data, and recording and counting the reason causing the trip after the fault is found, so that a dispatcher can conveniently analyze the problems of the line.
2. The system of claim 1, wherein: the system also comprises an input unit, wherein the input unit is used for carrying out statistical input on the CT fixed values of all 10kV lines administered by the power supply local distribution network, and the 10kV lines are matched with the CT values of the 10kV lines to form a distribution network 10kV line CT database.
3. The system of claim 1, wherein: under a normal operation mode, taking the current-carrying capacity of a line as a reference value, and under the condition that the current of a feeder exceeds 80% of the reference value within 1 day and exceeds 15 minutes, the feeder is heavy; overload is carried out when 100% of the reference value is exceeded and 15 minutes are exceeded; the heavy overload monitoring module identifies heavy load or overload information.
4. An OMS scheduling intelligent analysis method is characterized in that: the method comprises the following steps:
acquiring various real-time or historical data of a 10kV line of a transformer substation;
the heavy overload monitoring module performs the following processing: acquiring real-time data of a three-phase current of a 10kV outgoing line, and storing the acquired data in a distribution network OMS system; comparing and analyzing the 10kV outgoing line three-phase current with data of a distribution network 10kV line CT database; recording overload or overload information;
when the trip data of a 10kV line is acquired, if the trip line is detected to be a power protection line, the generated trip record is matched with the trip accident event grade, and an accident trip grade is generated;
automatically counting the trip times of the 10kV line, matching the counted times with the trip accident event grade except for successful coincidence, and generating the accident trip grade and the trip times in trip information when the trip times of a certain 10kV line exceed the accident grade within 1 month;
after the 10kV line of the distribution network is tripped, calculating the load of line loss according to the acquired alarm message and the current and voltage data, and recording and counting the reason causing the trip after the fault is found, so that a dispatcher can conveniently analyze the problems of the line.
5. A computer system comprising a memory, a processor, and a computer program that is executable on the memory and on the processor, wherein: the processor, when executing the computer program, performs the steps of the method of claim 4.
6. An electronic device comprising a memory, a processor, and a computer program that is executable on the memory and on the processor, wherein: the processor, when executing the computer program, performs the steps of the method of claim 4.
7. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that: which computer program, when being executed by a processor, carries out the steps of the method as claimed in claim 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111316450.8A CN114400766A (en) | 2021-11-08 | 2021-11-08 | OMS scheduling intelligent analysis system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111316450.8A CN114400766A (en) | 2021-11-08 | 2021-11-08 | OMS scheduling intelligent analysis system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114400766A true CN114400766A (en) | 2022-04-26 |
Family
ID=81225316
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111316450.8A Pending CN114400766A (en) | 2021-11-08 | 2021-11-08 | OMS scheduling intelligent analysis system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114400766A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114693183A (en) * | 2022-05-31 | 2022-07-01 | 广东电网有限责任公司佛山供电局 | Automatic analysis method, system and equipment for distribution network line operation problems |
-
2021
- 2021-11-08 CN CN202111316450.8A patent/CN114400766A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114693183A (en) * | 2022-05-31 | 2022-07-01 | 广东电网有限责任公司佛山供电局 | Automatic analysis method, system and equipment for distribution network line operation problems |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111038291B (en) | Intelligent diagnosis system and method for charging fault of electric automobile | |
| CN108988487B (en) | Power grid power failure event identification method based on multidimensional data | |
| CN108665186A (en) | Distribution transforming heavy-overload blackouts monitoring method and device based on metering automation system | |
| CN103326467A (en) | Protection action report implementation method based on information protection main station device recorded information | |
| CN110137958B (en) | User voltage sag analysis method and system | |
| CN114693183B (en) | Automatic analysis method, system and equipment for distribution network line operation problems | |
| CN110378801A (en) | A kind of intelligent scheduling predetermined plan management method and platform | |
| CN114400766A (en) | OMS scheduling intelligent analysis system and method | |
| CN113992602B (en) | Cable monitoring data uploading method, device, equipment and storage medium | |
| CN111049131A (en) | Method and system for generating regional power grid online fault disposal plan | |
| CN114493238A (en) | Power supply service risk prediction method, system, storage medium and computer equipment | |
| CN108768995A (en) | Substation adaptive access main website method | |
| CN108763304B (en) | Blood-cause relationship-based power standing book data verification method and device | |
| CN105867270A (en) | Power transmission and transformation equipment state abnormity identification and emergency response scheme automatic pushing method | |
| CN106199251A (en) | A kind of distribution network failure early warning system analyzed based on adaptive modeling and method | |
| CN115795359A (en) | Signal type distinguishing method and device and computer equipment | |
| CN112821566B (en) | Intelligent statistical method and device for remote control intervention processing of distribution network faults | |
| CN203102357U (en) | An accident auxiliary processing system of a high-voltage DC convertor station | |
| CN112001588A (en) | Accident event online pre-judging method and device based on N-1 state | |
| CN116418121B (en) | Substation secondary security system, method, device and computer equipment | |
| Liu et al. | Statistical and estimation platform for low-voltage distribution network outages based on process management | |
| CN113139729A (en) | Power grid operation risk analysis method, system, terminal and storage medium | |
| CN112510818B (en) | Intelligent power system monitoring method and device | |
| CN113239097A (en) | Transformer area leakage potential safety hazard analysis method and system | |
| CN207039292U (en) | A kind of ± 500kV DC line state automatic recognition systems based on remote motion signal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |