CN105305613A - Intelligent power transformation and distribution monitoring method after reconstruction, expansion and increasing of traditional power grid - Google Patents
Intelligent power transformation and distribution monitoring method after reconstruction, expansion and increasing of traditional power grid Download PDFInfo
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- CN105305613A CN105305613A CN201510401521.2A CN201510401521A CN105305613A CN 105305613 A CN105305613 A CN 105305613A CN 201510401521 A CN201510401521 A CN 201510401521A CN 105305613 A CN105305613 A CN 105305613A
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- Y02E60/7853—
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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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The invention provides an intelligent power transformation and distribution monitoring method after reconstruction, expansion and increasing of the traditional power grid. The method particularly comprises five steps of power grid basic data acquisition, computer simulation model building, data calculus, recording and storing. The method of the invention is simple; the data monitoring efficiency is high; on one hand, various operation data monitoring information after the power grid is expanded can be acquired timely and high efficiently, the automatic degree during the monitoring process is high, operation parameters of each device in the power grid can be obtained intuitively, inadequate structure construction after the power grid is reconstructed and hidden operation fault dangers of the reconstructed device can be pre-judged, and thus integrity and reliability of the power grid structure are improved; and on the other hand, the power grid operation fault rate is reduced, and power grid operation stability and safety are improved.
Description
Technical field
The present invention relates to the method for managing and monitoring after the enlarging of a kind of electrical network, is exactly that a kind of traditional electrical network reorganization and expansion increases Allocation transformer intelligent control method.
Background technology
Current electric energy is one of important energy source of society, have and apply very widely, when carrying out electric energy supply, the power supply grid by coverage rate is larger is often needed to carry out electric energy supply to power consumer, find in the actual motion of electrical network, the change of power consumer situation is frequent, energy consumption gathers way comparatively fast, therefore often need to carry out dilatation plant retrofit to the power supply capacity of electrical network, and after transformation, power supply compatibility between the reconstruction part that electrical network increases newly and original electrical network becomes the major issue perplexing electrical network dilatation plant retrofit, but because the coverage rate territory of electrical network is extremely wide, therefore number of devices included in electrical network and kind is caused how, and dilatation plant retrofit flexibility in position has a very wide distribution by force, therefore the rear power system monitor difficulty of enlarging is exacerbated further, great burden is caused to operation of power networks, power system monitor mode conventional at present mainly relies on manually to be monitored each transformer and distribution power station in network system, therefore data acquisition inefficiency is caused, and be easily affected by human factors, data acquisition precision is low, very efficiently can not obtain the visual data of operation of power networks easily, thus add the work load of electrical network supervision, simultaneously, due to data acquisition not in time, data volume is huge, therefore also result in grid equipment potential faults anticipation work delayed, therefore operation of power networks potential faults cannot be found timely and effectively, for this present situation, in the urgent need to developing the method for managing and monitoring after the enlarging of a kind of brand-new electrical network, with the needs that satisfied reality uses.
Summary of the invention
The object of this invention is to provide and the invention provides a kind of traditional electrical network reorganization and expansion increasing Allocation transformer intelligent control method.
In order to achieve the above object, the invention provides following technical scheme:
A kind of traditional electrical network reorganization and expansion increases Allocation transformer intelligent control method, comprises the steps:
The first step, obtain electrical network basic data, according to electric network composition to be monitored, respectively the data after data before electrical network reconstruction and reconstruction are gathered, then the data collected are compared, draw supplemental characteristic change before and after electrical network reconstruction, and remote detection terminal is established to the electric equipment of reconstruction position;
Second step, set up computer simulation model, utilize computer by the electric equipment operation data of the data after data before the reconstruction of Network Capture electrical network and reconstruction with reconstruction position, and set up grid simulation data model respectively according to the data after data before the reconstruction of collected electrical network and reconstruction, and according to the rear electrical network actual operation parameters of reconstruction, to before reconstruction, rear grid simulation data model carries out operation and comparison with reconstruction simultaneously, and the another electric equipment operation data to reconstructing position carry out complete monitoring simultaneously;
3rd step, data are calculated, compare according to the parameter that before reconstruction, rear grid simulation data model simulation run obtains with reconstruction, running status after reconstructing with electrical network before the reconstruction of checking electrical network, and record is carried out to the deficiency that electrical network after reconstruction exists, another by power equipment, the use allowance for depreciation of service cable etc., running wastage and theoretical service life etc., data were incorporated in the rear grid simulation data model of reconstruction, and with the synchronous computing of operation of power networks simulation model simulation run after reconstruction, and obtain theoretical depreciation data and the fault data of each equipment, thus show that theoretical power supply unit runs hidden danger point and the ticket reserving time occurs fault,
4th step, on-site verification, according to the calculation data obtained in the 3rd step, on the one hand secondary transformation is carried out to the deficiency that electrical network after reconstruction exists, on the other hand according to theoretical power supply unit, hidden danger point and fault generation ticket reserving time are run to each electric equipment of electric equipment of reconstruction position, carry out on-the-spot Site Detection, then get rid of in time when the equipment of detecting exists potential faults and in operation of power networks simulation model this device location place mark, and recalculate the theoretical power supply unit operation hidden danger point and fault generation ticket reserving time that draw this equipment according to the time point after maintenance simultaneously, if during fault-free hidden danger, then in operation of power networks simulation model, this device location place carries out potential faults mark, and carry out special project monitoring, simultaneously after completing electric grid secondary reconstruction and potential faults eliminating, another data being reintroduced back in the 3rd step calculates,
5th step, record is preserved, and regularly preserves operation of power networks simulation model service data and maintenance of equipment data, and data preservation is not more than 24 hours update time, and the data retention over time stored is by being not less than
3 years.
Further, the data gathered in the described first step are included in the transformer and distribution power stations at different levels of this electrical network, electric power delivery circuit and power consumer power data.
Further, the network in described second step is SPGuru power dispatch data network, Internet of Things or wireless data communication network.
The inventive method is simple, data monitoring efficiency is high, the every service data monitor message after electrical network enlarging can be obtained on the one hand in time efficiently, and monitor procedure automaticity is high, can intuitively to draw in electrical network while each equipment operational factor, separately can carry out anticipation to structure construction deficiency after electrical network reconstruction and reconstruction equipment operation failure hidden danger, thus contribute to improving electric network composition integrality and reliability, separately contribute to reducing operation of power networks failure rate simultaneously, improve operation of power networks stability and fail safe.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is present invention process flow chart.
Embodiment
Be clearly and completely described technical scheme of the present invention below in conjunction with accompanying drawing of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
One tradition electrical network reorganization and expansion as shown in Figure 1 increases Allocation transformer intelligent control method, comprises the steps:
The first step, obtain electrical network basic data, according to electric network composition to be monitored, respectively the data after data before electrical network reconstruction and reconstruction are gathered, then the data collected are compared, draw supplemental characteristic change before and after electrical network reconstruction, and remote detection terminal is established to the electric equipment of reconstruction position;
Second step, set up computer simulation model, utilize computer by the electric equipment operation data of the data after data before the reconstruction of Network Capture electrical network and reconstruction with reconstruction position, and set up grid simulation data model respectively according to the data after data before the reconstruction of collected electrical network and reconstruction, and according to the rear electrical network actual operation parameters of reconstruction, to before reconstruction, rear grid simulation data model carries out operation and comparison with reconstruction simultaneously, and the another electric equipment operation data to reconstructing position carry out complete monitoring simultaneously;
3rd step, data are calculated, compare according to the parameter that before reconstruction, rear grid simulation data model simulation run obtains with reconstruction, running status after reconstructing with electrical network before the reconstruction of checking electrical network, and record is carried out to the deficiency that electrical network after reconstruction exists, another by power equipment, the use allowance for depreciation of service cable etc., running wastage and theoretical service life etc., data were incorporated in the rear grid simulation data model of reconstruction, and with the synchronous computing of operation of power networks simulation model simulation run after reconstruction, and obtain theoretical depreciation data and the fault data of each equipment, thus show that theoretical power supply unit runs hidden danger point and the ticket reserving time occurs fault,
4th step, on-site verification, according to the calculation data obtained in the 3rd step, on the one hand secondary transformation is carried out to the deficiency that electrical network after reconstruction exists, on the other hand according to theoretical power supply unit, hidden danger point and fault generation ticket reserving time are run to each electric equipment of electric equipment of reconstruction position, carry out on-the-spot Site Detection, then get rid of in time when the equipment of detecting exists potential faults and in operation of power networks simulation model this device location place mark, and recalculate the theoretical power supply unit operation hidden danger point and fault generation ticket reserving time that draw this equipment according to the time point after maintenance simultaneously, if during fault-free hidden danger, then in operation of power networks simulation model, this device location place carries out potential faults mark, and carry out special project monitoring, simultaneously after completing electric grid secondary reconstruction and potential faults eliminating, another data being reintroduced back in the 3rd step calculates,
5th step, record is preserved, and regularly preserves operation of power networks simulation model service data and maintenance of equipment data, and data preservation is not more than 24 hours update time, and the data retention over time stored is by being not less than 3 years.
In the present embodiment, the data gathered in the described first step are included in the transformer and distribution power stations at different levels of this electrical network, electric power delivery circuit and power consumer power data.
In the present embodiment, the network in described second step is SPGuru power dispatch data network, Internet of Things or wireless data communication network.
The inventive method is simple, data monitoring efficiency is high, the every service data monitor message after electrical network enlarging can be obtained on the one hand in time efficiently, and monitor procedure automaticity is high, can intuitively to draw in electrical network while each equipment operational factor, separately can carry out anticipation to structure construction deficiency after electrical network reconstruction and reconstruction equipment operation failure hidden danger, thus contribute to improving electric network composition integrality and reliability, separately contribute to reducing operation of power networks failure rate simultaneously, improve operation of power networks stability and fail safe.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with the protection range of claim.
Claims (3)
1. traditional electrical network reorganization and expansion increases an Allocation transformer intelligent control method, it is characterized in that: described traditional electrical network reorganization and expansion increases Allocation transformer intelligent control method and comprises the steps:
The first step, obtain electrical network basic data, according to electric network composition to be monitored, respectively the data after data before electrical network reconstruction and reconstruction are gathered, then the data collected are compared, draw supplemental characteristic change before and after electrical network reconstruction, and remote detection terminal is established to the electric equipment of reconstruction position;
Second step, set up computer simulation model, utilize computer by the electric equipment operation data of the data after data before the reconstruction of Network Capture electrical network and reconstruction with reconstruction position, and set up grid simulation data model respectively according to the data after data before the reconstruction of collected electrical network and reconstruction, and according to the rear electrical network actual operation parameters of reconstruction, to before reconstruction, rear grid simulation data model carries out operation and comparison with reconstruction simultaneously, and the another electric equipment operation data to reconstructing position carry out complete monitoring simultaneously;
3rd step, data are calculated, compare according to the parameter that before reconstruction, rear grid simulation data model simulation run obtains with reconstruction, running status after reconstructing with electrical network before the reconstruction of checking electrical network, and record is carried out to the deficiency that electrical network after reconstruction exists, another by power equipment, the use allowance for depreciation of service cable etc., running wastage and theoretical service life etc., data were incorporated in the rear grid simulation data model of reconstruction, and with the synchronous computing of operation of power networks simulation model simulation run after reconstruction, and obtain theoretical depreciation data and the fault data of each equipment, thus show that theoretical power supply unit runs hidden danger point and the ticket reserving time occurs fault,
4th step, on-site verification, according to the calculation data obtained in the 3rd step, on the one hand secondary transformation is carried out to the deficiency that electrical network after reconstruction exists, on the other hand according to theoretical power supply unit, hidden danger point and fault generation ticket reserving time are run to each electric equipment of electric equipment of reconstruction position, carry out on-the-spot Site Detection, then get rid of in time when the equipment of detecting exists potential faults and in operation of power networks simulation model this device location place mark, and recalculate the theoretical power supply unit operation hidden danger point and fault generation ticket reserving time that draw this equipment according to the time point after maintenance simultaneously, if during fault-free hidden danger, then in operation of power networks simulation model, this device location place carries out potential faults mark, and carry out special project monitoring, simultaneously after completing electric grid secondary reconstruction and potential faults eliminating, another data being reintroduced back in the 3rd step calculates,
5th step, record is preserved, and regularly preserves operation of power networks simulation model service data and maintenance of equipment data, and data preservation is not more than 24 hours update time, and the data retention over time stored is by being not less than 3 years.
2. the traditional electrical network reorganization and expansion of one according to claim 1 increases Allocation transformer intelligent control method, it is characterized in that: the data gathered in the described first step are included in the transformer and distribution power stations at different levels of this electrical network, electric power delivery circuit and power consumer power data.
3. the traditional electrical network reorganization and expansion of one according to claim 1 increases Allocation transformer intelligent control method, it is characterized in that: the network in described second step is SPGuru power dispatch data network, Internet of Things or wireless data communication network.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110765655A (en) * | 2019-11-15 | 2020-02-07 | 南方电网科学研究院有限责任公司 | Dispatching automation simulation system and construction method and device of SCADA model thereof |
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| US20120179301A1 (en) * | 2010-09-17 | 2012-07-12 | Aivaliotis Sarantos K | System and method for power grid management |
| CN103607051A (en) * | 2013-11-25 | 2014-02-26 | 国家电网公司 | Method and system for expanding transformer substation |
| CN103683511A (en) * | 2013-12-23 | 2014-03-26 | 国家电网公司 | Method and system for processing fault of integrated monitoring platform based on power distribution network |
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| US20120179301A1 (en) * | 2010-09-17 | 2012-07-12 | Aivaliotis Sarantos K | System and method for power grid management |
| CN103607051A (en) * | 2013-11-25 | 2014-02-26 | 国家电网公司 | Method and system for expanding transformer substation |
| CN103683511A (en) * | 2013-12-23 | 2014-03-26 | 国家电网公司 | Method and system for processing fault of integrated monitoring platform based on power distribution network |
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| CN110765655A (en) * | 2019-11-15 | 2020-02-07 | 南方电网科学研究院有限责任公司 | Dispatching automation simulation system and construction method and device of SCADA model thereof |
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