CN106845782A - Distribution big data intelligent analysis method - Google Patents
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- CN106845782A CN106845782A CN201611207372.7A CN201611207372A CN106845782A CN 106845782 A CN106845782 A CN 106845782A CN 201611207372 A CN201611207372 A CN 201611207372A CN 106845782 A CN106845782 A CN 106845782A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/06—Energy or water supply
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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
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a kind of distribution big data intelligent analysis method, first, read the coverage in 95598 outage informations, line name, scheduled outage time and plan electric power feeding time；Secondly, line name public, that specially change actually stops in power transmission information, actual power off time and actual electric power feeding time are read；Finally, with " main line line name ＆ dates " for Matching Elements, public affairs are become, is specially become and is actually stopped power transmission information and plan stops power transmission information and carries out intelligent Matching, counted every and plan to stop that power transmission information is corresponding actually to stop power transmission information.The method that the present invention is analyzed by big data, public affairs is become, is specially become and is actually stopped power transmission information and plan stops power transmission information and carries out intelligent Matching, is counted every and is planned to stop that power transmission information is corresponding actually to stop power transmission information.
Description
Technical field
The present invention relates to electric network data Intellectual Analysis Technology.
Background technology
State Grid Corporation of China by 95598 system release plan outage informations, but it is public, specially become actually stop power transmission information with
The scheduled outage information of 95598 systems issue often has deviation.How actual are become with public, special to 95598 scheduled outage information
Stopping power transmission information carries out intelligent Matching, stops that power transmission information is corresponding actually to stop power transmission information to count every plan, with weight
The meaning wanted.
The content of the invention
The technical problems to be solved by the invention are just to provide a kind of distribution big data intelligent analysis method, by 95598 meters
Draw outage information with it is public, specially become and actually stop power transmission information and carry out intelligent Matching, stop power transmission information correspondence to count every plan
Actually stop power transmission information.
In order to solve the above technical problems, the present invention is adopted the following technical scheme that：Distribution big data intelligent analysis method, it is first
First, the coverage in 95598 outage informations, line name, scheduled outage time are read and plans electric power feeding time；Secondly, read
Take public affairs, specially become line name, actual power off time and the actual electric power feeding time actually stopped in power transmission information；Finally, with " main line line
The road title ＆ dates " are Matching Elements, and by public affairs change, specially change actually stops power transmission information and plan stops power transmission information and carries out intelligent Matching,
Count every plan and stop that power transmission information is corresponding actually to stop power transmission information.
Preferably, 95598 scheduled outage information early stages treatment, for the same working day multiple operating point of same circuit
Situation, causes same circuit to have multiple different periods power failure plan informations to reject with working day.
Preferably, when 95598 scheduled outage information early stages are processed, by the information comprising 0.38kV in 95598 outage informations
Reject.
Preferably, the actual power transmission information of stopping of single public, special terminal is rejected according to following rule to initial stage unreasonable data：
A, single public, special transformer terminals are actual stops imperfect described in power transmission information；
B, single public, special transformer terminals are actual stop power transmission information in actual electric power feeding time be ahead of actual power off time；
C, single public, special transformer terminals are actual stop power transmission information in the actual delayed actual power off time of electric power feeding time it is small more than 24
When.
Preferably, using normal distribution principle, plan is stopped by electric power feeding time and is actually stopped electric power feeding time and is matched.
Further, public, special change a plurality of to same scheduled outage information correspondence actually stops power transmission information, using normal distribution
Mathematical logic, select closest to the outage information of electric power feeding time is actually stopped, if the electric power feeding time that actually stops chosen stops with plan
Electric power feeding time deviation exceedes setting threshold values, rejects unreasonable data and chooses data again according to normal distribution, until finding most
Reasonably stop close to reality and actually electric power feeding time.
Of the invention to pass through the method that big data is analyzed, by public affairs change, specially change actually stops power transmission information and plan stops power transmission information
Intelligent Matching is carried out, every plan is counted and is stopped that power transmission information is corresponding actually to stop power transmission information.
Specific embodiment
Distribution big data intelligent analysis method：
First, by 95598 scheduled outage information：Coverage, line name, scheduled outage time and plan power transmission
Time, this several column was processed in reading Excel file automatically.
Secondly, by it is public, specially become and actually stop power transmission information：Line name, actual power off time and actual electric power feeding time
This several column is processed in reading access database files automatically.
Finally, two class data more than being read from Excel file, database file, with " main line line name ＆ dates "
It is Matching Elements, by public affairs change, specially change actually stops power transmission information and plan stops power transmission information and carries out intelligent Matching, counts every meter
Draw and stop that power transmission information is corresponding actually to stop power transmission information.
In addition, 95598 scheduled outage information, public affairs, specially becoming and actually stopping power transmission information and need to carry out early stage treatment, and reject part
Data.
First, 95598 scheduled outage information early stages treatment.
1st, for the same working day multiple operating point situation of same circuit, same circuit is caused to have multiple with working day
Different periods power failure plan information.Public affairs change, special transformer terminals cannot be distinguished by the geographic area inside 95598 scheduled outage information, match somebody with somebody
Network data intellectual analysis treatment software will be rejected in data processing early stage.Such as the first and second A001 of identical working day line, the first and second A001 lines #
Public change of 1 branch line, the first and second A001 line #5 branch lines, the first and second A001 lines #1 etc., will all be removed.
2nd, divided according to the whole province's distribution scheduling compass of competency, the equipment of 0.38kV (380V) is not belonging to dispatching management scope,
So distribution data intellectual analysis process software by data processing early stage by including inside 95598 scheduled outage information
0.38kV (380V) is intelligently rejected.Such as the first and second A001 line #1 branch lines (0.38kV), the first and second A001 lines #1 are public to become (0.38kV), all
Will be removed.
Causing outage information bar after the rejecting of 95598 scheduled outage information intelligents can reduce 10 to 3 percent
Ten.
Suggestion effectively stops power transmission bar number (i.e. denominator)=95598 scheduled outage information bar number-stop comprising 0.38kV (380V)
Power information bar number.
2nd, single public, special terminal is actual stops power transmission information processing rules.
A, single public, special transformer terminals are actual stops imperfect described in power transmission information.During comprising line name, actual power failure
Between, the key element such as time electric power feeding time be vacant or for the judgement of single character this information is unreasonable, software will be in intelligence
Deleted before matching.(bar number is few under normal circumstances, and it is more bar number occur when with extraction system upgrading or equipment fault)
B, single public, special transformer terminals are actual to stop the judgement that actual electric power feeding time in power transmission information is ahead of actual power off time
This information is unreasonable, and software will be deleted before intelligent Matching.(situations such as data are wrong, bar number is few)
C, single public, special transformer terminals are actual stop power transmission information in the actual delayed actual power off time of electric power feeding time it is small more than 24
When judgement this information it is unreasonable, the overwhelming majority 95598 scheduled outage informational program used times not over 24 hours, software
To be deleted before intelligent Matching.(bar number is few under normal circumstances, and it is more bar number occur when marketing system changes battery, device)
Because monthly single public, special terminal data is more than 100,000, though initial stage unreasonable data screening deletes single public, specially
Terminal data bar number is more, but greatly improves subsequent data analysis result accuracy.
Finally, using normal distribution principle, electric power feeding time is stopped to plan and actually stops matching for electric power feeding time.
Because distribution power failure is planned in practical implementation, the public of diverse location becomes and specially change in same power supply area
Actually stop electric power feeding time to differ (general each public affairs become or specially become just a time data).Therefore normal distribution model is used
The corresponding a plurality of electric power feeding time information of actually stopping of every power failure plan is screened.
It is as follows, it is denoted as N (μ, σ ^2)：
Wherein, μ is the location parameter of normal distribution, describes the central tendency position of normal distribution.Probabilistic law is to take and μ
The probability of neighbouring value is big, and take from μ more away from value probability it is smaller.Normal distribution is symmetrical with X=μ as symmetry axis.
σ is the form parameter of normal distribution, and the dispersion degree of description normal distribution data distribution, σ is bigger, data point
Cloth gets over dispersion, and σ is smaller, and data distribution gets over concentration.
Daily substantial amounts of power off time that is public, specially becoming is in normal distribution in the ideal case, and electric power feeding time point is stopped from plan
It is nearer, it is corresponding to stop that power transmission information content is more, so according to " normal distribution " selection closest to location parameter actually stop give
The electric time carries out subsequent data analysis, and accuracy is higher.
Normal distribution chooses public, special change and actually stops power transmission information.
Because there is error (typically within 3 points) the different terminals time of electricity consumption acquisition system record, same plan is stopped
Power information often corresponds to a plurality of public, special change and actually stops power transmission information, and software is selected closest using the mathematical logic of normal distribution
Actually stop the outage information of electric power feeding time.If the electric power feeding time that actually stops chosen stops electric power feeding time deviation more than setting valve with plan
Value (is temporarily set to 180 minutes), and system will reject unreasonable data and choose data again according to normal distribution, most be connect until finding
It is near actual and reasonably actually stop electric power feeding time.
" intelligence is rejected and calculated again " function can at utmost avoid the timing error because of acquisition terminal system and failure
In the case of error in data matching, make subsequent data analysis result more accurately and reliably, going out crucial management and control target to programming count carries
For correct data source.
Stop that power transmission information is corresponding actually to stop power transmission information according to count every plan, can further be divided
Analysis, will " actual have a power failure advanced scheduled outage ", " actual have a power failure delayed plan 30 minutes and more than " and " the actual delayed plan of power transmission
Electric power feeding time " as " five zero time differences " key management and control target analysis emphasis.Reduce as far as possible because acquisition system and trouble light are former
Not statistical uncertainty situation is upgraded because caused by, and statistics is included into crucial management and control mesh calibration method is adjusted：
A, because there is an error public, the special transformer terminals time, 5 minutes nargin is set, can avoid because public, the special transformer terminals time
The error statistics that error causes.By " the actual advanced scheduled outage that has a power failure " and " the actual delayed plan of power transmission in Classifying Sum result
The Intelligent statistical that electric power feeding time " is all higher than 5 minutes goes out crucial management and control target.(note：Set 5 minutes nargin be consider personnel time,
Each link time such as public, special transformer terminals and operation is inconsistent)
B, the normal conditions lower deviation difference of time (plan with) it is excessive be usually because scheduled overhaul and breakdown repair
Superposition and cause terminal time entanglement with extraction system system upgrade, for as far as possible avoid because breakdown repair and with extraction system upgrade draw
The error statistics for rising, by " the actual advanced scheduled outage that has a power failure " in Classifying Sum result and " the actual delayed plan power transmission of power transmission
The intelligence rejecting of big 200 minutes of time " numerical bias, statistics is not included.
C, actual used time accounting plan used time percentage can be substantially reaction this scheduled outage information accuracy, lead to
Cross substantial amounts of data feedback accounting and think that data are unreasonable below 10% and to more than 200%, should reject.When this accounting exists
It is probably that scheduling is stopping the adjustment of the labour method of operation or dual power supply user in power operation below percent 10%, it is impossible to receive
Enter crucial management and control object statistics.When this accounting is probably because scheduled overhaul and breakdown repair more than percent 200%
Superposition, it is impossible to include crucial management and control object statistics.
Claims (6)
1. distribution big data intelligent analysis method, it is characterised in that：First, coverage, the line in 95598 outage informations are read
Road title, scheduled outage time and plan electric power feeding time；Secondly, read it is public, specially become actually stop in power transmission information line name,
Actual power off time and actual electric power feeding time；Finally, with " main line line name ＆ dates " for Matching Elements, public affairs are become, specially becomes real
Border stops power transmission information and plan and stops power transmission information to carry out intelligent Matching, counts every plan and stops that power transmission information is corresponding actually to stop
Power transmission information.
2. distribution big data intelligent analysis method according to claim 1, it is characterised in that：95598 scheduled outage information
Early stage treatment, for the same working day multiple operating point situation of same circuit, causes same circuit to have multiple with working day
Different periods power failure plan information is rejected.
3. distribution big data intelligent analysis method according to claim 2, it is characterised in that：95598 scheduled outage information
During early stage treatment, the information comprising 0.38kV in 95598 outage informations is rejected.
4. distribution big data intelligent analysis method according to claim 1, it is characterised in that：Single public, special terminal reality
Stop power transmission information to reject initial stage unreasonable data according to following rule：
A, single public, special transformer terminals are actual stops imperfect described in power transmission information；
B, single public, special transformer terminals are actual stop power transmission information in actual electric power feeding time be ahead of actual power off time；
C, single public, special transformer terminals are actual stop power transmission information in the actual delayed actual power off time of electric power feeding time more than 24 hours.
5. distribution big data intelligent analysis method according to claim 1, it is characterised in that：Using normal distribution principle,
Plan is stopped by electric power feeding time and actually stopped electric power feeding time and is matched.
6. distribution big data intelligent analysis method according to claim 5, it is characterised in that：To same scheduled outage information
Correspondence it is a plurality of it is public, specially become and actually stop power transmission information, using the mathematical logic of normal distribution, select closest to actually stopping electric power feeding time
Outage information, if actually stop electric power feeding time and the plan chosen stop electric power feeding time deviation and exceed setting threshold values, reject unreasonable
Data simultaneously choose data again according to normal distribution, until finding closest to reality and reasonably actually stopping electric power feeding time.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611207372.7A CN106845782A (en) | 2016-12-23 | 2016-12-23 | Distribution big data intelligent analysis method |
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| CN201611207372.7A CN106845782A (en) | 2016-12-23 | 2016-12-23 | Distribution big data intelligent analysis method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107833151A (en) * | 2017-11-10 | 2018-03-23 | 国网浙江省电力公司温州供电公司 | Distribution plan stops power transmission zero time difference data processing method and equipment |
| CN109871961A (en) * | 2018-12-29 | 2019-06-11 | 深圳供电局有限公司 | Method and system for analyzing medium-voltage power failure event |
| CN110942223A (en) * | 2019-09-12 | 2020-03-31 | 国网浙江平湖市供电有限公司 | Method for real-time control of five zero time differences of distribution network power failure plan |
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2016
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| CN103489062A (en) * | 2013-09-04 | 2014-01-01 | 广东电网公司佛山供电局 | Scheduled outage method and device based on CIM model |
| CN104156790A (en) * | 2014-08-22 | 2014-11-19 | 国家电网公司 | Method for optimizing and balancing power-cut schemes |
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| CN107833151A (en) * | 2017-11-10 | 2018-03-23 | 国网浙江省电力公司温州供电公司 | Distribution plan stops power transmission zero time difference data processing method and equipment |
| CN109871961A (en) * | 2018-12-29 | 2019-06-11 | 深圳供电局有限公司 | Method and system for analyzing medium-voltage power failure event |
| CN110942223A (en) * | 2019-09-12 | 2020-03-31 | 国网浙江平湖市供电有限公司 | Method for real-time control of five zero time differences of distribution network power failure plan |
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