An OMS scheduling intelligent analysis system and method

Abstract

The present invention relates to an OMS dispatching intelligent analysis system and method, the system includes a data acquisition unit and a processing unit, and the processing unit includes a heavy overload monitoring module and a fault tripping analysis module. The present invention can perform real-time monitoring of heavy overloads on all 10kV lines of the distribution network, which is convenient for dispatchers to perform statistical analysis on heavy overload lines and put forward rectification suggestions, effectively shortening the time for dispatchers to find and record information, improving the work efficiency of dispatchers, freeing up manpower and further improving the intelligent alarm module, so that dispatchers can quickly locate faults and command on-site repair personnel to quickly find and isolate faults.

Description

Technical Field

[0001] The present invention relates to the field of scheduling analysis, and in particular to an OMS scheduling intelligent analysis system and method. Background Art

[0002] With the continuous expansion of the distribution network scale and the continuous advancement of the distribution network transformation of Kunming Power Supply Bureau, some 10kV lines still have the following problems:

[0003] 1. In winter, lines that are frequently overloaded have small wire diameters, low current carrying capacity, and cannot be transferred. When a line is overloaded, the dispatcher cannot quickly and effectively control the load.

[0004] 2. Some single-radiation and head-end connected 10kV lines have the problem of being unable to transfer power or having insufficient transfer capacity.

[0005] 3. Currently, dispatchers are not clear about the number of users of distribution network lines, the number of users powered by switches, and the distribution of distribution transformers. When a fault occurs, it is impossible to quickly assess the power outage event and level caused by the distribution network switch tripping. The subsequent statistics of the tripped line data require a lot of time and energy for dispatchers. Summary of the invention

[0006] In order to solve the above problems, the present invention provides an OMS dispatching intelligent analysis system and method, which comprehensively analyzes the number of power supply users and the number of distribution transformers of all section switches and branch switches in the distribution network, automatically evaluates the event level caused by the tripping of each distribution network switch based on the number of users affected by the power outage, performs statistics and cause analysis on frequently tripping lines, and automatically generates tripping data, which can effectively reduce the workload of dispatchers and improve work quality and efficiency.

[0007] The technical solution of the present invention is as follows:

[0008] 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;

[0009] Among them: the data acquisition unit obtains various real-time or historical data of the substation 10kV line;

[0010] The heavy overload monitoring module performs the following processing: obtains the real-time data of the three-phase current of the 10kV outgoing line, and stores the obtained data in the distribution network OMS system; compares and analyzes the three-phase current of the 10kV outgoing line with the data in the CT database of the 10kV line of the distribution network; records the heavy load or overload information;

[0011] The fault trip analysis module performs the following processing:

[0012] When the tripping data of the 10kV line is obtained, if it is detected that the tripped line is a power supply protection line, the generated tripping record is matched with the tripping accident event level, and the accident tripping level is generated;

[0013] The tripping times of 10kV lines are automatically counted, except for those with successful reclosing, and the statistical times are matched with the level of tripping accidents. When the tripping times of a 10kV line within one month exceeds the accident level, the accident tripping level and tripping times will be generated in the tripping information;

[0014] When a 10kV line in the distribution network trips, the line load loss is calculated based on the alarm message and current and voltage data obtained. After the fault is found, the cause of the trip is recorded and counted to facilitate the dispatcher to analyze the problems on the line.

[0015] Furthermore, the system also includes an input unit, through which the CT constants of all 10kV lines under the power supply bureau's distribution network are statistically input, the 10kV lines are matched with their CT values, and a distribution network 10kV line CT database is formed.

[0016] Furthermore, under normal operating conditions, with the line current carrying capacity as the reference value, a feeder current exceeding 80% of the reference value for more than 15 minutes within one day is considered heavy load; a feeder current exceeding 100% of the reference value for more than 15 minutes is considered overload; and a heavy and overload monitoring module identifies heavy load or overload information.

[0017] The present invention also relates to an OMS scheduling intelligent analysis method, which is performed as follows:

[0018] Obtain various real-time or historical data of the substation 10kV line;

[0019] The heavy overload monitoring module performs the following processing: obtains the real-time data of the three-phase current of the 10kV outgoing line, and stores the obtained data in the distribution network OMS system; compares and analyzes the three-phase current of the 10kV outgoing line with the data in the CT database of the 10kV line of the distribution network; records the heavy load or overload information;

[0020] When the tripping data of the 10kV line is obtained, if it is detected that the tripped line is a power supply protection line, the generated tripping record is matched with the tripping accident event level, and the accident tripping level is generated;

[0021] The tripping times of 10kV lines are automatically counted, except for those with successful reclosing, and the statistical times are matched with the level of tripping accidents. When the tripping times of a 10kV line within one month exceeds the accident level, the accident tripping level and tripping times will be generated in the tripping information;

[0022] When a 10kV line in the distribution network trips, the line load loss is calculated based on the alarm message and current and voltage data obtained. After the fault is found, the cause of the trip is recorded and counted to facilitate the dispatcher to analyze the problems on the line.

[0023] The present invention also relates to a computer system, comprising a memory, a processor, and a computer program on the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0024] The present invention also relates to an electronic device, comprising a memory, a processor, and a computer program on the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0025] The present invention also relates to a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned method are implemented.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0027] 1. The present invention can monitor all 10kV lines in the distribution network in real time for heavy overloads, making it convenient for dispatchers to conduct statistical analysis on heavy overload lines and put forward rectification suggestions.

[0028] Since the launch in June 2021, a total of 31 10kV lines in the world have experienced severe overloads. A preliminary analysis of the lines with frequent severe overloads found that some lines had small CT transformation ratios, no contact points for power transfer, and uneven load distribution for dual power users. Further analysis and research are needed on areas where the lines need to be improved.

[0029] 2. Through the fault tripping analysis module of the present invention, the dispatcher can quickly analyze the generated accident tripping information, effectively shortening the time for the dispatcher to find and record information, improving the work efficiency of the dispatcher, freeing up manpower and further improving the intelligent alarm module, so that the dispatcher can quickly locate the fault and command the on-site repair personnel to quickly find and isolate the fault.

[0030] 3. Based on the rectification suggestions proposed in the present invention, the grid structure of Kunming power grid can be upgraded and reconstructed, thereby improving the power supply reliability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a system block diagram of the OMS scheduling intelligent analysis system of the present invention;

[0032] Figure 2 is one of the heavy overload monitoring results of this embodiment;

[0033] Figure 3 This is one of the fault tripping analysis results of this embodiment. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] Unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present application should be understood by people with ordinary skills in the field. The words "first", "second" and similar words used in this embodiment do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Install", "connect", "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be the internal connection of two elements. "Up", "down", "left", "right", "horizontal" and "vertical" are only used relative to the orientation of the components in the drawings. These directional terms are relative concepts. They are used for description and clarification relative to the components, and they can change accordingly according to the change of the orientation of the components in the drawings.

[0036] The OMS dispatching intelligent analysis system of this embodiment, based on the existing technology, is based on the distribution network construction and the OMS dispatching office system to upgrade the grid structure of the Kunming power grid and improve the power supply reliability of the power grid. According to the current situation of heavy overload of 10kV lines, statistical analysis is conducted on some heavy overload, single radiation and head-end transfer lines, and solutions and rectification suggestions are proposed.

[0037] like Figure 1 As shown, the OMS dispatching intelligent analysis system of this embodiment includes a data acquisition unit, an input unit and a processing unit. The processing unit includes a heavy overload monitoring module and a fault tripping analysis module.

[0038] Among them: the data acquisition unit obtains various real-time or historical data of the substation 10kV line.

[0039] The heavy overload monitoring module performs the following processing: obtains the real-time data of the three-phase current of the 10kV outgoing line, and stores the obtained data in the distribution network OMS system; compares and analyzes the three-phase current of the 10kV outgoing line with the data in the CT database of the distribution network 10kV line; records heavy load or overload information; under normal operation, taking the current carrying capacity of the line as the reference value, it is considered heavy load when the feeder current exceeds 80% of the reference value for more than 15 minutes within 1 day; it is considered overload when it exceeds 100% of the reference value for more than 15 minutes; the heavy overload monitoring module identifies heavy load or overload information.

[0040] The fault trip analysis module performs the following processing:

[0041] When the tripping data of the 10kV line is obtained, if it is detected that the tripped line is a power supply protection line, the generated tripping record is matched with the tripping accident event level, and the accident tripping level is generated;

[0042] The tripping times of 10kV lines are automatically counted, except for those with successful reclosing, and the statistical times are matched with the level of tripping accidents. When the tripping times of a 10kV line within one month exceeds the accident level, the accident tripping level and tripping times will be generated in the tripping information;

[0043] When a 10kV line in the distribution network trips, the line load loss is calculated based on the alarm message and current and voltage data obtained. After the fault is found, the cause of the trip is recorded and counted to facilitate the dispatcher to analyze the problems on the line.

[0044] The CT constants of all 10kV lines under the power supply bureau's distribution network are statistically entered through the input unit, and the 10kV lines are matched with their CT values ​​to form a distribution network 10kV line CT database.

[0045] This embodiment obtains various real-time or historical data of the substation 10kV line through the interface between the OPEN3000 system and the distribution network OMS system. After obtaining the above information, a distribution network 10kV line database is established, and the collected data is logically analyzed through the database, and the heavy overload situation of the distribution network line is analyzed in real time. When the line is heavily overloaded, the fault information is transmitted to the corresponding OMS module through the intelligent alarm module to generate corresponding records; when the distribution network line trips, the various data before and after the trip are compared, and the distribution network trip accident level is automatically generated and the cause of the trip is automatically counted.

[0046] The OMS scheduling intelligent analysis method of this embodiment includes the following contents:

[0047] 1. Heavy overload monitoring

[0048] 1. Data collection

[0049] The current and voltage data of the 10kV line of the distribution network are collected through the OPEN3000 system, and the collected data are stored in the distribution network OMS system. The various data of the OMS dispatching intelligent analysis unit are extracted from the distribution network OMS system.

[0050] 2. Establishing a database

[0051] 1. Data Entry

[0052] By statistically entering the CT constants of all 10kV lines under the jurisdiction of the Kunming Power Supply Bureau's distribution network, the 10kV lines are matched with their CT values ​​to form a CT database for the distribution network's 10kV lines.

[0053] 2. Data Analysis

[0054] (1) The real-time data of the three-phase (A, B, C) current of the 10 kV outgoing line is obtained through the OPEN3000 system, and the obtained data is stored in the distribution network OMS system.

[0055] (2) The 10 kV outgoing line three-phase (A, B, C) current extracted by the distribution network OMS system is compared with the data in the distribution network 10 kV line CT database.

[0056] (3) Under normal operation, with the line current carrying capacity as the reference value, when the feeder current exceeds 80% (100%) of the reference value for more than 15 minutes within one day, it is called heavy load (overload).

[0057] 3. Analysis and Identification

[0058] 1. Keyword recognition "overload", "overload"

[0059] (1) When the OMS system recognizes the keyword "overload" signal, the signal is pushed to the feeder overload module, and the overload information is generated in the OMS system overload module.

[0060] (2) When the OMS system recognizes the keyword "overload" signal, the signal is pushed to the feeder overload module, and the overload information is generated in the OMS system overload module.

[0061] 2. Discriminant logic analysis

[0062] (1) Determine the line current carrying capacity based on the CT ratio;

[0063] (2) If the feeder current value exceeds the safe current carrying capacity (reference value) by 80%-100% for 15 consecutive minutes, the line is judged to be overloaded and an "overload" signal is sent;

[0064] (3) If the feeder current value exceeds the safe current carrying capacity (reference value) by 100% for 15 consecutive minutes, the line is judged to be overloaded and an "overload" signal is sent.

[0065] 2. Fault tripping analysis

[0066] 1. Data collection

[0067] The current and voltage data of the 10kV line of the distribution network are collected through the OPEN3000 system, and the collected data are stored in the distribution network OMS system. The various data of the OMS dispatching intelligent analysis unit are extracted from the distribution network OMS system.

[0068] 2. Establishing a database

[0069] 1. Tripping accident

[0070] (1) When a 10 kV distribution network line trips, if the line is a power supply line, there is a possibility of causing a power production safety accident (not reaching the accident level to level one).

[0071] (2) When a 10kV line in the distribution network trips, if the same 10kV line trips frequently within one month (except for successful reclosing), there is a possibility of causing a power production safety accident (not reaching the accident level of level 6).

[0072] (3) When a 10kV line in the distribution network trips, if the loss load is large and affects many users, there is a possibility of causing a power production safety accident (not reaching the accident level of level 6)

[0073] 2. Multi-system data collection

[0074] The alarm message information and current and voltage data are collected through the OPEN3000 system, distribution network OMS system and metering automation system, and the collected data are stored in the distribution network OMS system. The various data of the OMS dispatching intelligent analysis unit are extracted from the distribution network OMS system.

[0075] 3. Tripping analysis

[0076] When a 10kV line in the distribution network trips, the distribution network OMS system collects and stores the alarm messages and current and voltage data sent by the OPEN3000 system; based on the 10kV line tripping data and alarm messages, the tripping line information is pushed to the accident tripping module through the OMS intelligent alarm module to form a record.

[0077] (1) When the OMS system obtains the tripping data of the 10kV line, if it is detected that the tripped line is a power supply protection line, the tripping record generated by the OMS intelligent alarm module will automatically match the tripping accident event level and generate an accident tripping level (which can be changed manually);

[0078] (2) When the OMS system obtains the tripping data of the 10kV line, the system will automatically count the number of tripping times of the 10kV line (except for successful reclosing), and match the statistical number with the level of the tripping accident event. When the number of tripping times of a 10kV line within one month exceeds the accident rating, the accident tripping level (which can be manually changed) and the number of tripping times will be automatically generated in the tripping information.

[0079] (3) When a 10kV line in the distribution network trips, the OMS system will automatically calculate the line load loss based on the alarm message and current and voltage data obtained. After finding the fault, it will record and compile statistics on the cause of the trip, making it easier for the dispatcher to analyze the problems on the line.

[0080] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or physically separated. Moreover, these modules can be all implemented in the form of software calling through processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software calling through processing elements, and some modules can be implemented in the form of hardware.

[0081] The processing element described here can be an integrated circuit with signal processing capability. In the implementation process, each step of the above method or each module can be completed by an integrated logic circuit of hardware in the processor element or an instruction in software form.

[0082] 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 (ASIC), or one or more microprocessors (digital signal processors, DSP), or one or more field programmable gate arrays (FPGA), etc. For another example, when a module above is implemented in the form of a processing element scheduling program 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. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0083] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can 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 the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, 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 a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integration. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0084] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0085] Optionally, an embodiment of the present application further provides a storage medium, in which instructions are stored, and when the storage medium is run on a computer, the computer executes the method of the embodiment shown above.

[0086] Optionally, an embodiment of the present application further provides a chip for running instructions, wherein the chip is used to execute the method of the embodiment shown above.

[0087] An embodiment of the present application also provides a program product, which includes a computer program. The computer program is stored in a storage medium. At least one processor can read the computer program from the storage medium. When the at least one processor executes the computer program, the method of the above embodiment can be implemented.

[0088] The specific application examples of this embodiment are as follows:

[0089] Heavy overload monitoring:

[0090] like Figure 2 As shown in the figure, assuming that the rated CT value of a 10kV line is N, when this line operates normally, the data of its 10kV outgoing line three-phase (A, B, C) current I is acquired in real time and stored in the distribution network OMS system. The 10kV outgoing line three-phase (A, B, C) current I is compared with the CT value N in the database in real time. When a heavy overload occurs, the heavy overload information is generated in the OMS heavy overload module.

[0091] (1) When I / N < 80, it indicates that the line is not heavily (over) loaded;

[0092] (2) When 80

[0093] (3) When 100

[0094] Fault trip analysis:

[0095] like Figure 3 As shown, the main grid dispatcher notified that at XX:XX, the 10kV XX line of the XX substation tripped and the reclosing action failed.

[0096] (1) When the OMS system obtains the tripping data of the 10kV XX line, the OMS system will automatically compare the power supply guarantee ledger to determine whether the line is a power supply guarantee line. If it is not a power supply guarantee line, the accident level module will not be triggered; if it is a power supply guarantee line, the accident level module will be triggered to automatically determine the accident level.

[0097] (2) The OMS system records the number of tripping times of the line in one month to determine whether it exceeds the accident level. If it does not exceed the specified number, the accident level module is not triggered; if it exceeds the specified number, the accident level module is triggered and the accident level is automatically determined.

[0098] ​​(3) When the tripping information is generated by the distribution network intelligent alarm module, the load of the line before and after the tripping is compared. The current before the tripping is I1, and the current after the tripping is I2. The loss load is Is=I2 / I1. Statistics are performed after the cause of the fault is found.

[0099] The tripping information is: at XX hours and XX minutes, the XX protection of the 10kV XX line of the XX substation tripped, and the reclosing action was unsuccessful. In X month, the 10kV XX line tripped a total of N times, causing an accident level of XX and a loss load ratio of Is.

[0100] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An OMS scheduling intelligent analysis system, characterized by: It includes a data acquisition unit and a processing unit, and the processing unit includes a heavy overload monitoring module and a fault tripping analysis module; Among them: the data acquisition unit obtains various real-time or historical data of the substation 10kV line; The heavy overload monitoring module performs the following processing: obtains the real-time data of the three-phase current of the 10kV outgoing line, and stores the obtained data in the distribution network OMS system; compares and analyzes the three-phase current of the 10kV outgoing line with the data in the CT database of the 10kV line of the distribution network; records the heavy load or overload information; The fault trip analysis module performs the following processing: When the tripping data of the 10kV line is obtained, if it is detected that the tripped line is a power supply protection line, the generated tripping record is matched with the tripping accident event level, and the accident tripping level is generated; The tripping times of 10kV lines are automatically counted, except for those with successful reclosing, and the statistical times are matched with the level of tripping accidents. When the tripping times of a 10kV line within one month exceeds the accident level, the accident tripping level and tripping times will be generated in the tripping information; When a 10kV line in the distribution network trips, the line load loss is calculated based on the alarm message and current and voltage data obtained. After the fault is found, the cause of the trip is recorded and counted to facilitate the dispatcher to analyze the problems on the line.

2. The system according to claim 1, characterized in that: The system also includes an input unit, through which the CT constants of all 10kV lines under the power supply bureau's distribution network are statistically input, the 10kV lines are matched with their CT values, and a distribution network 10kV line CT database is formed.

3. The system according to claim 1, characterized in that: Under normal operation, with the line current carrying capacity as the reference value, if the feeder current exceeds 80% of the reference value for more than 15 minutes within 1 day, it is considered heavy load; if it exceeds 100% of the reference value for more than 15 minutes, it is considered overload; the heavy and overload monitoring module identifies heavy load or overload information.

4. An analysis method based on the OMS scheduling intelligent analysis system according to claim 1, characterized in that: Proceed as follows: Obtain various real-time or historical data of the substation 10kV line; The heavy overload monitoring module performs the following processing: obtains the real-time data of the three-phase current of the 10kV outgoing line, and stores the obtained data in the distribution network OMS system; compares and analyzes the three-phase current of the 10kV outgoing line with the data in the CT database of the 10kV line of the distribution network; records the heavy load or overload information; When the tripping data of the 10kV line is obtained, if it is detected that the tripped line is a power supply protection line, the generated tripping record is matched with the tripping accident event level, and the accident tripping level is generated; The tripping times of 10kV lines are automatically counted, except for those with successful reclosing, and the statistical times are matched with the level of tripping accidents. When the tripping times of a 10kV line within one month exceeds the accident level, the accident tripping level and tripping times will be generated in the tripping information; When a 10kV line in the distribution network trips, the line load loss is calculated based on the alarm message and current and voltage data obtained. After the fault is found, the cause of the trip is recorded and counted to facilitate the dispatcher to analyze the problems on the line.

5. A computer system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to claim 4 are implemented.

6. An electronic device comprising a memory, a processor, and a computer program on the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to claim 4 are implemented.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method as claimed in claim 4 are implemented.

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