CN104679874A - Power grid operation brief report data analysis method - Google Patents
Power grid operation brief report data analysis method Download PDFInfo
- Publication number
- CN104679874A CN104679874A CN201510103306.4A CN201510103306A CN104679874A CN 104679874 A CN104679874 A CN 104679874A CN 201510103306 A CN201510103306 A CN 201510103306A CN 104679874 A CN104679874 A CN 104679874A
- Authority
- CN
- China
- Prior art keywords
- data
- power
- power grid
- bulletin
- power networks
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides a power grid operation brief report data analysis method. The power grid operation brief report data analysis method comprises the steps of automatically grasping structural data in power grid operation brief report data from the release address of the power grid operation brief report data, and performing structural recognition to nonstructural data in the power grid operation brief report data; preforming three-dimension extraction to the structural data in the power grid operation brief report data, wherein the three dimensions include regional power grid wind power data, regional power grid connecting line power supply data and regional power grid power generation and load data; performing trend analysis to the historical data of each index in each dimension to obtain a historical data curve corresponding to each index. The method provided by the invention can perform historical observation and trend analysis to a certain index of the structural data in a historical period, can perform structural analysis to power grid related events in t power grid operation brief reports and can also perform analysis to the structural data from other dimensions such as power plants and equipment.
Description
Technical field
The present invention relates to dispatching automation of electric power systems technical field, particularly a kind of operation of power networks bulletin data analysing method.
Background technology
In the activity in production of power grid enterprises, power scheduling is very the key link.Power scheduling is to ensure the effective ladder of management of one that power network safety operation, externally reliable power supply, all kinds of electrical production work are carried out in order and adopted.The specific works content of power scheduling is the data message fed back according to various information collecting device, or the information that monitor staff provides, in conjunction with electrical network actual operation parameters, as voltage, electric current, frequency, load etc., consider every production work development condition, to power grid security, economical operation state judges, operational order is issued by phone or automatic system, commander site operation personnel or automatic control system adjust, as adjusted generator output, Load adjustment distributes, switched capacitor, reactor etc., thus guarantee that electrical network continues safe and stable operation.Power scheduling department every day of electrical network, all according to the situation on the same day, exports to electrical network and has the relevant power production information of each province and city regional power grid under its command, formation operation of power networks bulletin.
In existing technical scheme, power scheduling department is only the operation of power networks bulletin exporting same format every day, not responsiblely carry out historical analysis and association analysis to each achievement data in operation of power networks bulletin, technician needs the mode by reading to obtain required information.
The major defect of technique scheme is as follows:
(1) do not form association between the operation of power networks bulletin that every day exports, thus certain index of the structural data in the period of history is not carried out to the possibility of historical perspective and trend analysis;
(2) the electrical network dependent event in operation of power networks bulletin data describes and is many long articles originally, is many unstructured information, and technician by reading obtaining information, can only cannot carry out structured analysis to it.Wherein, unstructured data is relative to structural data (row data, store in a database, the data of logical expression realization can be carried out) by bivariate table structure, unstructured data cannot be called by the data that database two dimension logical table represents, mainly comprise the computer documents of various form.
(3) every part of operation of power networks bulletin is all that clue is added up with date, even if obtain many parts of operation of power networks bulletins, also cannot analyze from other dimensions such as power plant, equipment structural data.
Summary of the invention
Embodiments provide a kind of operation of power networks bulletin data analysing method, structured analysis can be carried out to the electrical network dependent event in operation of power networks bulletin; Historical perspective and trend analysis are carried out to certain index of the structural data in the period of history; From other dimensions except the date, structural data can also be analyzed, comprising:
From the issue address of operation of power networks bulletin data, the structural data in automatic capturing operation of power networks bulletin data, carries out structuring identification to the unstructured data in operation of power networks bulletin data;
Structural data in operation of power networks bulletin data is carried out to the extraction of three dimensions, described three dimensions comprise the generating of area power grid wind-powered electricity generation data, area power grid interconnection electrical data and area power grid and load data;
Trend analysis is carried out to the historical data of each index in each dimension, obtains the corresponding historical data curve of each index.
In one embodiment, described operation of power networks bulletin data comprise the whole network generating of Grid and load data, circuit electrical data, each region wind-powered electricity generation data, power cuts to limit consumption and keep away one of them or the combination in any of stopping repairing data and electrical network associated event data of peak situation data, electrical network relevant device.
In one embodiment, described structural data comprise Grid the whole network generating and load data, circuit electrical data, each region wind-powered electricity generation data, power cuts to limit consumption and keep away peak data, electrical network relevant device stop repair data.
In one embodiment, described unstructured data comprises electrical network associated event data, and described electrical network associated event data comprises the machine group number of circuit or power plant, event type, affiliated specialty and time.
In one embodiment, structuring identification is carried out to the unstructured data in described operation of power networks bulletin data, comprising:
The machine group number of all circuits related in described operation of power networks bulletin data or power plant, event type, affiliated specialty and time are enumerated;
From the machine group number of all circuits enumerated or power plant, event type, affiliated specialty and the time, pick out the machine group number of circuit in described electrical network associated event data or power plant, event type, affiliated specialty and time.
In one embodiment, described the method also comprises:
Calendar checking mechanism is set, for checking the crawl whether having carried out described operation of power networks bulletin data every day, and the structuring identification of described unstructured data;
Described calendar checking mechanism specifically comprises:
When described operation of power networks bulletin data are not crawled, and described unstructured data does not carry out structuring identification, marks respectively with distinct symbols on calendar;
When described operation of power networks bulletin data are crawled, and described unstructured data carries out structuring identification, calendar does not mark.
In one embodiment, the index in described area power grid wind-powered electricity generation data comprises wind-powered electricity generation whole day maximum power, account for installation number percent, wind-powered electricity generation after night maximum power, 15 minutes fluctuation maximal values, peak regulation contribution, daily generation and month to date generated energy one of them or combination in any.
In one embodiment, the index in described area power grid interconnection power transmission and area power grid generating and load condition comprise sent out purchase of electricity the same day, month to date sends out purchase of electricity, send out that purchase of electricity increases by a year-on-year basis the moon, maximum power purchase load, minimum power purchase load, send out power purchase rate of load condensate, powered electric power, send powered ratio, the same day send by electricity, month to date one of them or combination in any that increase by a year-on-year basis by electricity by electricity and the moon.
In embodiments of the present invention, by carrying out structuring identification to the unstructured data in operation of power networks bulletin data, structural data in operation of power networks bulletin data is carried out to the extraction of three dimensions, and trend analysis is carried out to the historical data of each index in each dimension, thus structured analysis can be carried out to the electrical network dependent event in operation of power networks bulletin data, historical perspective and trend analysis can be carried out to certain index of the structural data in the period of history, from other dimensions except the date, structural data can also be analyzed.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms a application's part, does not form limitation of the invention.In the accompanying drawings:
Fig. 1 is a kind of operation of power networks bulletin data analysing method process flow diagram that the embodiment of the present invention provides;
Fig. 2 is a kind of calendar checking mechanism schematic diagram that the embodiment of the present invention provides;
Fig. 3 be a kind of North China of providing of the embodiment of the present invention account for installation scaling trend figure.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with embodiment and accompanying drawing, the present invention is described in further details.At this, exemplary embodiment of the present invention and illustrating for explaining the present invention, but not as a limitation of the invention.
Inventor finds, does not form association, cannot carry out association historical analysis between the operation of power networks bulletin that current power scheduling department exports; Electrical network dependent event information is unstructured data, and technician by reading obtaining information, can only cannot carry out structured analysis to it; Every part of operation of power networks bulletin is that clue is added up with date, also cannot carry out historical data analysis from other dimensions such as power plant, equipment.If carry out structuring to the electrical network dependent event information in operation of power networks bulletin data, and analyze structural data from other dimensions except the date, just above-mentioned problems of the prior art can be solved.Based on this, the present invention proposes a kind of operation of power networks bulletin data analysing method.
Fig. 1 is a kind of operation of power networks bulletin data analysing method process flow diagram that the embodiment of the present invention provides, and as shown in Figure 1, the method comprises:
Step 101: from the issue address of operation of power networks bulletin data, the structural data in automatic capturing operation of power networks bulletin data, carries out structuring identification to the unstructured data in operation of power networks bulletin data;
Step 102: the extraction structural data in operation of power networks bulletin data being carried out to three dimensions, described three dimensions comprise the generating of area power grid wind-powered electricity generation data, area power grid interconnection electrical data and area power grid and load data;
Step 103: carry out trend analysis to the historical data of each index in each dimension, obtains the corresponding historical data curve of each index.
During concrete enforcement, first dispatching of power netwoks department exports (issue) operation of power networks bulletin according to the practical operation situation of electrical network with the form of Excel form every day.Operation of power networks bulletin data include the whole network generating of Grid and load condition (or data), namely circuit power transmission situation (or data), each region wind-powered electricity generation situation (or data), power cuts to limit consumption keep away peak situation (or data), one of them or the combination in any of stopping the situation of repairing (or data) and electrical network associated event data of electrical network relevant device.Wherein, namely the whole network generating of Grid and load condition (or data), circuit power transmission situation (or data), each region wind-powered electricity generation situation (or data), power cuts to limit consumption keep away peak situation (or data), one of them or the combination in any of the situation of repairing (or data) of stopping of electrical network relevant device belong to structural data; Electrical network associated event data belongs to unstructured data, electrical network associated event data may comprise Power Plant repair stop, circuit cut change, scheduled outage etc., appear at operation of power networks bulletin end with many long textual forms.
The present invention program passes through compile script, every day captures operation of power networks bulletin from issue address, automatically data grabber is carried out to structural data wherein, and the data after capturing are encrypted storage, man-made structurization identification is carried out to unstructured data wherein, is about to originally be converted to by the information of natural language description the machine readable information be made up of several structured field.Although the information form comprised due to electrical network dependent event does not possess unitarity; but content probably covers following information: the machine group number, event type, affiliated specialty, time etc. of circuit or power plant; in such as on September 15th, 2012, certain group's No.3 in Power Plant unit is because of boiler failure scheduled outage.Carry out man-made structurization so concrete to unstructured data to be identified as: enumerate the machine group number of all circuits related in operation of power networks bulletin data or power plant, event type, affiliated specialty and time, then from the machine group number of all circuits enumerated or power plant, event type, affiliated specialty and the time, the machine group number of circuit in described electrical network associated event data or power plant, event type, affiliated specialty and time is picked out.Namely adopt the mode that the value of each field in electrical network dependent event is enumerated, drop-down option is set.Technician needs to read the text in original bulletin, selects the enumerated value of each field.
In order to check whether every day has carried out the crawl of operation of power networks bulletin data, and the structuring identification of unstructured data, the present invention is also provided with calendar checking mechanism, as shown in Figure 2.Calendar checking mechanism is specially: when operation of power networks bulletin data are not crawled, and when unstructured data does not carry out structuring identification, mark respectively with distinct symbols on calendar; When operation of power networks bulletin data are crawled, and unstructured data carries out structuring identification, does not need to mark on calendar.
The present invention has carried out the extraction of three dimensions to the structural data in operation of power networks bulletin data, i.e. the generating of area power grid wind-powered electricity generation data, area power grid interconnection electrical data and area power grid and load data.Wherein the index of area power grid wind-powered electricity generation data be wind-powered electricity generation whole day maximum power, account for installation number percent, after wind-powered electricity generation night maximum power, 15 minutes fluctuation maximal values, peak regulation contribution, daily generation and month to date generated energy one of them or combination in any.Index in area power grid interconnection power transmission and area power grid generating and load condition comprise sent out purchase of electricity the same day, month to date sends out purchase of electricity, send out that purchase of electricity increases by a year-on-year basis the moon, maximum power purchase load, minimum power purchase load, send out power purchase rate of load condensate, powered electric power, send powered ratio, the same day send by electricity, month to date one of them or combination in any that increase by a year-on-year basis by electricity by electricity and the moon.
In addition, the present invention also has each local power net data under its command to regional power grid and has carried out graphical representation respectively.Such as, the operation of power networks bulletin exported comprises the area power grid wind-powered electricity generation data in the areas such as Beijing-Tianjin-Tangshan, Ji Bei, southern Hebei, Beijing, North China, wherein, we extract in the power grid wind data of North China and account for this index of installation number percent, figure display North China accounts for installation scaling trend, as shown in Figure 3.
The present invention can also adopt the data of full-automatic mode to operation of power networks bulletin end electrical network dependent event to carry out computer recognizing one by one, mate with field values such as the electricity power group prestored, power plant, equipment, times, complete the structuring process of electrical network associated event data in operation of power networks bulletin.But because operation of power networks bulletin itself adopts natural language description to electrical network dependent event, the probability of machine-readable appearance mistake is very large, and very low to the analysis serious forgiveness of electrical network dependent event, so item is operated in before machine-readable discrimination reaches higher level be unsuitable for full automation realization.
In sum, this patent scheme compares existing mainstream technology scheme, improves in the following aspects:
(1) the present invention program comparatively current programme regularly historical data analysis has been carried out to operation of power networks bulletin data, thus the variation tendency of single index within a period of history can be seen, thus the trace analysis completed some operation power key index, driving arrangement upgrades and technology upgrading.
(2) this electrical network of the long article associated event data can only read by the mankind in prior art operation of power networks bulletin is carried out semi-automatic structuring by the present invention, combing has been carried out to the enterprise belonging to event, power plant, specialty etc., and distinguished the common event and accident, can be analyzed information in power dispatching center from the dimension such as power plant, professional equipment by data mining.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the embodiment of the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. an operation of power networks bulletin data analysing method, is characterized in that, comprising:
From the issue address of operation of power networks bulletin data, the structural data in automatic capturing operation of power networks bulletin data, carries out structuring identification to the unstructured data in operation of power networks bulletin data;
Structural data in operation of power networks bulletin data is carried out to the extraction of three dimensions, described three dimensions comprise the generating of area power grid wind-powered electricity generation data, area power grid interconnection electrical data and area power grid and load data;
Trend analysis is carried out to the historical data of each index in each dimension, obtains the corresponding historical data curve of each index.
2. the method for claim 1, it is characterized in that, described operation of power networks bulletin data comprise the whole network generating of Grid and load data, circuit electrical data, each region wind-powered electricity generation data, power cuts to limit consumption and keep away one of them or the combination in any of stopping repairing data and electrical network associated event data of peak data, electrical network relevant device.
3. method as claimed in claim 2, is characterized in that, described structural data comprise the whole network generating of Grid and load data, circuit electrical data, each region wind-powered electricity generation data, power cuts to limit consumption and keep away peak data, electrical network relevant device stop repair data.
4. method as claimed in claim 2, it is characterized in that, described unstructured data comprises electrical network associated event data, and described electrical network associated event data comprises the machine group number of circuit or power plant, event type, affiliated specialty and time.
5. method as claimed in claim 4, is characterized in that, carry out structuring identification, comprising the unstructured data in described operation of power networks bulletin data:
The machine group number of all circuits related in described operation of power networks bulletin data or power plant, event type, affiliated specialty and time are enumerated;
From the machine group number of all circuits enumerated or power plant, event type, affiliated specialty and the time, pick out the machine group number of circuit in described electrical network associated event data or power plant, event type, affiliated specialty and time.
6. the method for claim 1, is characterized in that, described the method also comprises:
Calendar checking mechanism is set, for checking the crawl whether having carried out described operation of power networks bulletin data every day, and the structuring identification of described unstructured data;
Described calendar checking mechanism specifically comprises:
When described operation of power networks bulletin data are not crawled, and described unstructured data does not carry out structuring identification, marks respectively with distinct symbols on calendar;
When described operation of power networks bulletin data are crawled, and described unstructured data carries out structuring identification, calendar does not mark.
7. the method for claim 1, it is characterized in that, the index in described area power grid wind-powered electricity generation data comprises wind-powered electricity generation whole day maximum power, account for installation number percent, wind-powered electricity generation after night maximum power, 15 minutes fluctuation maximal values, peak regulation contribution, daily generation and month to date generated energy one of them or combination in any.
8. the method for claim 1, it is characterized in that, the index in described area power grid interconnection power transmission and area power grid generating and load condition comprise sent out purchase of electricity the same day, month to date sends out purchase of electricity, send out that purchase of electricity increases by a year-on-year basis the moon, maximum power purchase load, minimum power purchase load, send out power purchase rate of load condensate, powered electric power, send powered ratio, the same day send by electricity, month to date one of them or combination in any that increase by a year-on-year basis by electricity by electricity and the moon.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510103306.4A CN104679874A (en) | 2015-03-10 | 2015-03-10 | Power grid operation brief report data analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510103306.4A CN104679874A (en) | 2015-03-10 | 2015-03-10 | Power grid operation brief report data analysis method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104679874A true CN104679874A (en) | 2015-06-03 |
Family
ID=53314916
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510103306.4A Pending CN104679874A (en) | 2015-03-10 | 2015-03-10 | Power grid operation brief report data analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104679874A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106055618A (en) * | 2016-05-26 | 2016-10-26 | 优品财富管理有限公司 | Data processing method based on web crawlers and structural storage |
| CN108417209A (en) * | 2018-03-02 | 2018-08-17 | 国家电网公司华中分部 | A kind of power scheduling morpheme extraction method based on natural language processing technique |
| CN110287279A (en) * | 2019-05-24 | 2019-09-27 | 国网冀北电力有限公司 | A method of non-structured Log Report is switched into architectural system report |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101984438A (en) * | 2010-11-27 | 2011-03-09 | 杭州万格网络科技有限公司 | Method of online self-help website establishment, creation of application service and development of online software |
| CN102546771A (en) * | 2011-12-27 | 2012-07-04 | 西安博构电子信息科技有限公司 | Cloud mining network public opinion monitoring system based on characteristic model |
| CN102750653A (en) * | 2011-04-20 | 2012-10-24 | 中国南方电网有限责任公司 | Method and system for performing multi-dimensional benchmarking analysis on electric power scheduling information |
| US8606686B1 (en) * | 2008-03-07 | 2013-12-10 | Versify Solutions, Inc. | System and method for gathering and performing complex analyses on power data from multiple remote sources |
| CN103577590A (en) * | 2013-11-12 | 2014-02-12 | 北京润乾信息***技术有限公司 | Data query method and system |
| CN104376041A (en) * | 2014-10-11 | 2015-02-25 | 北京中搜网络技术股份有限公司 | Information extraction method based on classification of microblogs |
-
2015
- 2015-03-10 CN CN201510103306.4A patent/CN104679874A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8606686B1 (en) * | 2008-03-07 | 2013-12-10 | Versify Solutions, Inc. | System and method for gathering and performing complex analyses on power data from multiple remote sources |
| CN101984438A (en) * | 2010-11-27 | 2011-03-09 | 杭州万格网络科技有限公司 | Method of online self-help website establishment, creation of application service and development of online software |
| CN102750653A (en) * | 2011-04-20 | 2012-10-24 | 中国南方电网有限责任公司 | Method and system for performing multi-dimensional benchmarking analysis on electric power scheduling information |
| CN102546771A (en) * | 2011-12-27 | 2012-07-04 | 西安博构电子信息科技有限公司 | Cloud mining network public opinion monitoring system based on characteristic model |
| CN103577590A (en) * | 2013-11-12 | 2014-02-12 | 北京润乾信息***技术有限公司 | Data query method and system |
| CN104376041A (en) * | 2014-10-11 | 2015-02-25 | 北京中搜网络技术股份有限公司 | Information extraction method based on classification of microblogs |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106055618A (en) * | 2016-05-26 | 2016-10-26 | 优品财富管理有限公司 | Data processing method based on web crawlers and structural storage |
| CN108417209A (en) * | 2018-03-02 | 2018-08-17 | 国家电网公司华中分部 | A kind of power scheduling morpheme extraction method based on natural language processing technique |
| CN110287279A (en) * | 2019-05-24 | 2019-09-27 | 国网冀北电力有限公司 | A method of non-structured Log Report is switched into architectural system report |
| CN110287279B (en) * | 2019-05-24 | 2021-08-13 | 国网冀北电力有限公司 | Method for converting unstructured log report into structured system report |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104600840B (en) | A kind of intelligent scheduling anti-misoperation management system and method | |
| CN103578039B (en) | A kind of power networks risk prewarning analysis system | |
| CN104219315B (en) | A kind of operation monitoring system of power information acquisition system and method for supervising thereof | |
| CN201789341U (en) | Monitoring system of intelligent micro-grid | |
| CN103427417A (en) | Power distribution network fault processing method based on multi-source information fusion | |
| CN104463696A (en) | Power grid operating risk recognition and prevention method and system | |
| CN109359950A (en) | A kind of method of power system monitor information overall process control | |
| CN106651643A (en) | Power security management and control method for whole process based on distribution and adjustment | |
| CN106374458A (en) | Intelligent analysis method for identifying unreasonable power-failure management | |
| CN104050529A (en) | Power grid dispatching intelligent maintenance order and operation order system | |
| CN103066700B (en) | Power grid fault information processing method and system | |
| CN104679874A (en) | Power grid operation brief report data analysis method | |
| CN104063761A (en) | SCADA data development system based on smart grid | |
| CN104252646A (en) | Method for automatically formulating daily power grid maintenance plans | |
| CN104573887A (en) | Resource allocation optimizing method for failure repair of distribution network | |
| CN111667143A (en) | Method for realizing fusion of real-time monitoring data and service management data in power grid dispatching | |
| KR101809205B1 (en) | Factory Energy Management System | |
| CN109542091A (en) | A kind of excavator breakdown maintenance and reliability data management system and its application | |
| CN103746337A (en) | Relay protection device constant value modifying and checking system | |
| CN105207358A (en) | Electrical energy quality online monitoring platform | |
| CN113032651A (en) | Dispatching operation data automatic acquisition and submission management system | |
| CN110738427A (en) | electric power part work quality scoring system | |
| CN107122834B (en) | Intelligent order dispatching system and method | |
| CN104933519A (en) | Relay protection device condition-based maintenance aided decision making system | |
| CN105186494B (en) | Electric network analysis system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150603 |
|
| RJ01 | Rejection of invention patent application after publication |