CN115561550A - Data diagnosis method for direct current system of transformer substation - Google Patents
Data diagnosis method for direct current system of transformer substation Download PDFInfo
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- CN115561550A CN115561550A CN202211192699.7A CN202211192699A CN115561550A CN 115561550 A CN115561550 A CN 115561550A CN 202211192699 A CN202211192699 A CN 202211192699A CN 115561550 A CN115561550 A CN 115561550A
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- direct current
- current system
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/268—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured for dc systems
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- 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
- H02J1/00—Circuit arrangements for dc mains or dc distribution networks
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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
- Y04S10/16—Electric power substations
Abstract
The invention provides a data diagnosis method for a direct current system of a transformer substation, which comprises the steps of constructing a diagnosis model corresponding to the direct current system; taking the input parameters of the direct current system as the input parameters of a diagnosis model to perform diagnosis operation; constructing a diagnosis node in the diagnosis model corresponding to the acquisition point of the direct current system; calculating an operating parameter at the diagnostic node; and comparing the acquired real-time parameters of the direct current system with the operation parameters at the diagnosis node, and performing early warning and reminding when the comparison result exceeds a preset range. According to the method, the actual input of the direct current system is used as input by constructing a diagnosis model, theoretical operating parameters of the monitoring point during operation according to the actual parameters are calculated, the real-time parameters monitored in real time and the calculated operating parameters are compared and analyzed, diagnosis and early warning of the monitoring data collected by the direct current system are realized, intervention processing is conveniently carried out after the monitoring data are found to be abnormal in time, and the influence of the monitoring data abnormality caused by the abnormality of monitoring equipment on the actual is avoided.
Description
Technical Field
The invention relates to the field of transformer substations, in particular to a transformer substation direct current system data diagnosis method.
Background
The direct current system is a very important component of a transformer substation, and the main task of the direct current system is to provide power for a relay protection device, a breaker operation and various signal loops. The dc system generally includes a charging unit, a storage battery, a dc loop, etc., and whether the dc system is normally operated or not may affect the safe operation of the substation and even the whole power grid in relation to the relay protection and the correct operation of the breaker. Especially, the extensive adoption of unattended transformer substations and comprehensive automatic transformer substations, the popularization and application of programmed transformer substations and digital transformer substations, the development of intelligent power grids and intelligent transformer substations, the continuous improvement of the automation level of the transformer substations, the gradual appearance of the problems of a direct current system and the more and more prominent importance are achieved.
The stable operation of the direct current system is related to the safe operation of the transformer substation, so the monitoring work of the direct current system is particularly important, and the current direct current system carries out data monitoring so as to avoid the occurrence of faults or analyze and judge fault points according to collected historical data and the like after the occurrence of the faults. The dependence on the accuracy of the monitoring data is large in the process, and the analysis and judgment can be misled if the acquired data is abnormal.
Disclosure of Invention
In order to solve the problems in the background art, the invention provides a transformer substation direct current system data diagnosis method.
A data diagnosis method for a direct current system of a transformer substation is characterized in that a diagnosis model is built corresponding to the direct current system; taking the input parameters of the direct current system as the input parameters of a diagnosis model to perform diagnosis operation; constructing a diagnosis node in the diagnosis model corresponding to the acquisition point of the direct current system; calculating an operating parameter at the diagnostic node; and comparing the acquired real-time parameters of the direct current system with the operation parameters at the diagnosis node, and performing early warning and reminding when the comparison result exceeds a preset range.
Based on the above, the diagnostic model is constructed to form a model corresponding to the charging unit, the storage battery, the direct current loop and the actual device parameters of the direct current system.
Based on the above, calculation models are constructed at the diagnosis nodes, and each calculation model calculates the operation parameters at the diagnosis node according to the associated equipment parameter information and input parameter information of the construction model in the diagnosis model.
Based on the above, the calculation model further associates the environmental information at the diagnosis node and the environmental information of the device corresponding to the composition model associated with the diagnosis node.
Based on the above, the difference threshold value of the operation parameter and the real-time parameter is set, and when the comparison result exceeds the set difference threshold value, early warning reminding is carried out.
Based on the above, a historical database is constructed, real-time parameter information of the associated time information and corresponding operation parameter information are recorded and stored, and the real-time parameter information and the corresponding operation parameter information are stored according to a time period.
Based on the above, the obtained real-time parameter information and the corresponding operation parameter information are compared with the corresponding real-time parameter information and the corresponding operation parameter information in the historical database at the same period, and early warning and reminding are performed when the comparison result exceeds a preset range.
Based on the above, the difference range of the operation parameters, the real-time parameters and the historical periodic data is set, and when the comparison result exceeds the set difference range, early warning reminding is carried out.
Based on the above, the newly acquired real-time parameters and the corresponding operating parameters are stored in a historical database.
Compared with the prior art, the method has outstanding substantive characteristics and remarkable progress, and particularly, the method realizes diagnosis and early warning of the collected monitoring data of the direct current system by constructing a diagnosis model, taking the actual input of the direct current system as input, calculating theoretical operating parameters at the monitoring point according to the actual parameter during operation, and comparing and analyzing the real-time parameters monitored in real time with the calculated operating parameters, so that the intervention processing is conveniently carried out after the monitoring data are found to be abnormal in time, and the influence of the abnormal monitoring data caused by the abnormality of monitoring equipment on the actual is avoided.
Drawings
FIG. 1 is a block schematic flow diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, in the method for diagnosing the data of the direct current system of the transformer substation, a diagnosis model is constructed corresponding to the direct current system; taking the input parameters of the direct current system as the input parameters of a diagnosis model to perform diagnosis operation; constructing a diagnosis node in the diagnosis model corresponding to the acquisition point of the direct current system; calculating an operating parameter at the diagnostic node; and comparing the acquired real-time parameters of the direct current system with the operation parameters at the diagnosis node, and performing early warning and reminding when the comparison result exceeds a preset range.
The method comprises the steps of constructing diagnosis models corresponding to a power module, a storage battery, a direct current loop and the like in a direct current system, constructing each construction model in the diagnosis models corresponding to an actual construction part in the direct current system, taking actual input parameters of the direct current system as input parameters of the diagnosis models, and theoretically enabling operation parameters of all parts of the diagnosis models to be consistent with real-time parameters of all parts of the direct current system. In reality, a panoramic data acquisition system is constructed for the direct current system, and the requirements of real-time monitoring, accident or abnormal condition analysis of the direct current system of the transformer substation and the like are met through complete data acquisition. And respectively setting diagnosis nodes at the actual sampling detection points of the direct current system in the diagnosis model, configuring a calculation model at the diagnosis nodes, and taking parameters of each device or component and the like in the direct current system corresponding to the nodes into consideration to calculate according to the actual functions and the like of the devices or components and obtain theoretical operating parameters at the diagnosis nodes. And comparing the operation parameters with the real-time parameters collected in real time, if the comparison result is within a preset range, indicating that the collected and monitored real-time data are normal and can be normally used, and if the comparison result exceeds the preset range, indicating that the collected and monitored real-time data or the calculated operation data of the diagnosis model are abnormal, and reminding a worker to perform intervention processing at the moment.
And constructing calculation models at the diagnosis nodes, wherein each calculation model calculates the operation parameters at the diagnosis nodes according to the associated equipment parameter information and input parameter information of the construction model in the diagnosis model. The device parameters refer to actual parameters corresponding to each component in the direct current system, such as rated power of the device, and the input parameter information refers to original input parameter information of the direct current system, such as charging current, battery supply current and voltage. Preferably, the calculation model further associates environmental information at the diagnosis node and environmental information of equipment corresponding to the configuration model associated with the diagnosis node, where the environmental information refers to external factors that may affect the operation of the dc system, and needs to consider environmental temperature information, ventilation and cooling information, etc. in a calculation range of the calculation model, during calculation, heating value and the like are calculated according to input parameters and other information, temperature information at this time is estimated according to ventilation and cooling capabilities and the like, and the estimated temperature information is compared with the monitored and collected temperature information. Meanwhile, when the influence of the temperature on the running power and the like is calculated, the calculated temperature information is also used for calculation, so that the situation that the collected and monitored data is directly used for calculation is avoided.
In practice, a difference threshold value of the operation parameter and the real-time parameter is set in the diagnosis model, and when the comparison result exceeds the set difference threshold value, early warning reminding is carried out. If the comparison result is smaller than the difference threshold, the collected and monitored real-time data are normal and can be used normally, and if the comparison result is larger than the difference threshold, the collected and monitored real-time data or the calculated operation data of the diagnosis model are abnormal, and at the moment, the staff is reminded to intervene.
Preferably, a historical database is constructed, real-time parameter information of the associated time information and corresponding operation parameter information are recorded and stored, and the real-time parameter information and the corresponding operation parameter information are stored according to a time period. And comparing the acquired real-time parameter information and the corresponding operation parameter information with the corresponding real-time parameter information and the corresponding operation parameter information in the same period in the historical database, and performing early warning and reminding when the comparison result exceeds a preset range. And setting the difference range of the operation parameters, the real-time parameters and the historical periodic data, and carrying out early warning reminding when the comparison result exceeds the set difference range. For example, real-time parameters and corresponding operating parameters of a certain day of the actual month of march are respectively compared with real-time parameters and corresponding operating parameters of the same year and the like, the difference of the same time environment of the same equipment is within a certain range. If the comparison result is within the preset range, the collected and monitored real-time data are normal and can be normally used, and if the comparison result exceeds the preset range, the collected and monitored real-time data or the calculated operation data of the diagnosis model are abnormal, and at the moment, the staff is reminded to intervene. The real-time parameters and the operation parameters are diagnosed again respectively through historical same-period data, and double diagnosis fully guarantees the reliability of diagnosis.
In practice, the newly acquired real-time parameters and the corresponding operating parameters are associated with time and then stored in a historical database, so that the historical data is enriched, and subsequent use, query and the like are facilitated.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (9)
1. A data diagnosis method for a direct current system of a transformer substation is characterized by comprising the following steps:
constructing a diagnosis model corresponding to the direct current system;
taking the input parameters of the direct current system as the input parameters of a diagnosis model to perform diagnosis operation;
constructing a diagnosis node in the diagnosis model corresponding to the acquisition point of the direct current system;
calculating an operating parameter at the diagnostic node;
and comparing the acquired real-time parameters of the direct current system with the operation parameters at the diagnosis node, and performing early warning and reminding when the comparison result exceeds a preset range.
2. The substation direct current system data diagnosis method of claim 1, characterized in that: and constructing a model in the diagnosis model respectively corresponding to the charging unit, the storage battery, the direct current loop and the actual equipment parameters of the direct current system.
3. The substation direct current system data diagnosis method of claim 1, characterized in that: and constructing calculation models at the diagnosis nodes, wherein each calculation model calculates the operation parameters at the diagnosis nodes according to the associated equipment parameter information and input parameter information of the construction model in the diagnosis model.
4. The substation direct current system data diagnosis method of claim 3, characterized in that: the computational model also associates environmental information at the diagnostic node and environmental information of the device corresponding to the constituent model associated with the diagnostic node.
5. The substation direct current system data diagnosis method of claim 1, characterized in that: and setting a difference threshold value of the operation parameters and the real-time parameters, and carrying out early warning reminding when the comparison result exceeds the set difference threshold value.
6. The substation direct current system data diagnosis method of claim 1, characterized in that: and constructing a historical database, recording and storing the real-time parameter information of the associated time information and the corresponding operation parameter information, and storing according to a time period.
7. The substation direct current system data diagnosis method of claim 6, characterized in that: and comparing the acquired real-time parameter information and the corresponding operation parameter information with the corresponding real-time parameter information and the corresponding operation parameter information in the same period in the historical database, and performing early warning and reminding when the comparison result exceeds a preset range.
8. The substation direct current system data diagnosis method of claim 7, characterized in that: and setting the difference range of the operation parameters, the real-time parameters and the historical periodic data, and carrying out early warning reminding when the comparison result exceeds the set difference range.
9. The substation direct current system data diagnosis method of claim 6, characterized in that: and storing the newly acquired real-time parameters and the corresponding operating parameters into a historical database.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211192699.7A CN115561550A (en) | 2022-09-28 | 2022-09-28 | Data diagnosis method for direct current system of transformer substation |
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| CN202211192699.7A CN115561550A (en) | 2022-09-28 | 2022-09-28 | Data diagnosis method for direct current system of transformer substation |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116976854A (en) * | 2023-07-31 | 2023-10-31 | 深圳市科荣软件股份有限公司 | Intelligent inspection system for water works based on Internet of things |
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- 2022-09-28 CN CN202211192699.7A patent/CN115561550A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116976854A (en) * | 2023-07-31 | 2023-10-31 | 深圳市科荣软件股份有限公司 | Intelligent inspection system for water works based on Internet of things |
| CN116976854B (en) * | 2023-07-31 | 2024-03-19 | 深圳市科荣软件股份有限公司 | Intelligent inspection system for water works based on Internet of things |
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