CN109284837A - A kind of distribution power automation terminal O&M evaluation method and system - Google Patents
A kind of distribution power automation terminal O&M evaluation method and system Download PDFInfo
- Publication number
- CN109284837A CN109284837A CN201811116569.9A CN201811116569A CN109284837A CN 109284837 A CN109284837 A CN 109284837A CN 201811116569 A CN201811116569 A CN 201811116569A CN 109284837 A CN109284837 A CN 109284837A
- Authority
- CN
- China
- Prior art keywords
- terminal
- distribution
- index
- power automation
- evaluation method
- 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
- 238000009826 distribution Methods 0.000 title claims abstract description 93
- 238000011156 evaluation Methods 0.000 title claims abstract description 24
- 238000012423 maintenance Methods 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 21
- 230000002159 abnormal effect Effects 0.000 claims description 45
- 238000005070 sampling Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 13
- 230000020411 cell activation Effects 0.000 claims description 10
- 230000007547 defect Effects 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 10
- 230000008439 repair process Effects 0.000 claims description 7
- 230000007257 malfunction Effects 0.000 claims description 5
- 230000002596 correlated effect Effects 0.000 claims description 3
- 230000001737 promoting effect Effects 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 14
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 230000011664 signaling Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The present invention relates to a kind of distribution power automation terminal O&M evaluation method and systems, it include: the data information for acquiring distribution terminal, and characteristic quantity is carried out to the data of acquisition and collects processing, based on collect that treated characteristic quantity and preset terminal O&M index calculating formula, O&M index value is obtained, the O&M situation of terminal is judged based on the O&M index value.A kind of distribution power automation terminal O&M index Evaluation Method provided by the invention and system, give the distribution power automation terminal O&M index Evaluation Method with general promotional value, it can be good at judging local terminal maintenance work situation, save time cost, improve the operational efficiency of work.
Description
Technical field
The invention belongs to smart grid O&M links, carry out mainly for the control work of power distribution network O&M, and in particular to one
Kind distribution power automation terminal O&M evaluation method and system.
Background technique
Distribution terminal is the important component of Distribution Automation Construction, is mainly used in 10kV overhead transmission line, completes to match
The operation detection of electric wire and monitoring function are realized to switching station, ring network cabinet, on-pole switch, distribution on 10kV/20kV power distribution network
The real time monitoring of the primary equipments such as transformer, capacitor.
Distribution terminal acquires the operating condition of power distribution network real-time running data, detection, identification failure, switchgear, carries out
Processing and analysis, by means such as wire/wireless communications, upload information receives control command, realizes that the continuous of power supply supplies
Electricity.
Distribution terminal is the basis for realizing electrical power distribution automatization system function, and good operating status can be the event of power distribution network
Barrier processing extends efficient help, however the use of a large amount of automatization terminals has been further exacerbated by the situation of operation maintenance personnel shortage,
Maintenance work is caused to be difficult to fully meet terminal defect processing demand always.How local terminal maintenance work situation is judged,
Become a urgent task of Current Distribution Automation work.
Summary of the invention
In order to solve above-mentioned operation maintenance personnel shortage, do not know how to judge local terminal maintenance work situation, the present invention provides
A kind of distribution power automation terminal O&M index Evaluation Method, which comprises
The data information of distribution terminal is acquired, and characteristic quantity is carried out to the data of acquisition and collects processing；
Based on collect that treated characteristic quantity and preset terminal O&M index calculating formula, O&M index value is obtained；
The O&M situation of terminal is judged based on the O&M index value；
Wherein, the terminal O&M index calculating formula includes: the distribution terminal O&M determined based on each terminal abnormal type
The score that works and distribution terminal run expected fault value situation.
Preferably, the expected fault condition of distribution terminal operation includes:
The calculation formula of expected failure denominator is run based on predetermined automatization terminal model parameter and distribution terminal,
It obtains distribution terminal and runs expected failure denominator value.
Preferably, the distribution terminal operation troubles denominator value is as follows:
S=k ln (m+1) D η
In formula, η refers to probability of malfunction and weights value parameter；D refers to the terminal family defect parameters factor；It is oblique that k refers to fit line
Rate weight；M indicates repair time weight.
Preferably, the fitting line slope weight k is as follows:
In formula, k indicates fitting line slope weight；δ refers to running-in period matching line segment slope factor；ε refers to the fitting of loss phase
Line segment slope factor；T21Refer to end time running-in period node parameter；T22Refer to loss phase initial time node parameter；T2 table
Show current service phase runing time.
Preferably, the repair time weight m is as follows:
In formula, m indicates repair time weight；T3Refer to time between overhaul parameter；t3The terminal is referred to overhaul apart from last time
Interval time.
Preferably, the terminal O&M index calculation formula is as follows:
P=1-F/S
In formula, F indicates distribution terminal maintenance work score；P indicates distribution power automation terminal O&M index.
Preferably, the distribution terminal maintenance work score calculation formula is as follows:
In formula, i is that terminal corresponds to correlated characteristic amount number；α refers to the type terminal abnormal time weight value parameter；β refers to
For the type terminal abnormal frequency weighting value parameter；T1Indicate the total length of time in statistical time range；t1Indicate every in statistical time range
Duration after secondary abnormal generation；N1Indicate the default frequency of abnormity in statistical time range；n1Indicate abnormal secondary in statistical time range
Number.
Preferably, described to judge that terminal O&M situation includes: based on the O&M index value
When O&M index value is less than or equal to first threshold, index is all right；
When O&M index value, which is greater than first threshold, is less than or equal to second threshold, index situation is general；
When O&M index value is greater than second threshold, index situation early warning.
Preferably, the characteristic quantity for collecting processing includes: distribution terminal exception frequency and duration；
The distribution terminal includes: offline terminal abnormal, remote control actions failure, cell activation exception, alternating voltage extremely
Sampling is abnormal, alternating current samples exception and direct current is abnormal.
A kind of distribution power automation terminal O&M metrics evaluation system, comprising:
Acquisition module: for acquiring the data information of distribution terminal, and characteristic quantity is carried out to the data of acquisition and collects processing；
Obtain index value module: for calculating based on the characteristic quantity that collects that treated and preset terminal O&M index
Formula obtains O&M index value；
Judgment module: for judging the O&M situation of terminal based on the O&M index value.
Compared with the immediate prior art, the application is had the following beneficial effects:
1, a kind of distribution power automation terminal O&M evaluation method and system provided by the invention, acquire the data of distribution terminal
Information, and characteristic quantity is carried out to the data of acquisition and collects processing；Based on collect that treated characteristic quantity and preset terminal
O&M index calculating formula obtains O&M index value；The O&M situation of terminal is judged based on the O&M index value, it is this to have one
As promotional value distribution power automation terminal O&M index Evaluation Method, can be good at judging local terminal maintenance work feelings
Condition saves time cost, improves the operational efficiency of work, solves the problems, such as operation maintenance personnel shortage；
2, a kind of distribution power automation terminal O&M evaluation method and system provided by the invention consider that present terminal equipment can
With data information, equipment operation failure ordinary circumstance, for Current Distribution Automation terminal device O&M strength status, Neng Goupei
Existing distribution power automation terminal Information function is closed, the analytical judgment conclusion with guiding value is obtained.
Detailed description of the invention
Fig. 1 is method flow schematic diagram of the invention；
Fig. 2 is distribution power automation terminal O&M metrics evaluation flow chart of the invention.
Specific embodiment
Further specific explanations explanation is done to the present invention below with reference to specific embodiment:
As shown in Figure 1
Step 1: acquiring the data information of distribution terminal, and characteristic quantity is carried out to the data of acquisition and collects processing；
Step 2: based on collect that treated characteristic quantity and preset terminal O&M index calculating formula, obtaining O&M and refer to
Scale value；
Step 3: the O&M situation of terminal is judged based on the O&M index value；
Predetermined automatization terminal characteristic quantity and distribution terminal maintenance work score calculation formula are based on to step 1,
Obtain being described as follows for distribution terminal maintenance work score:
Distribution terminal characteristic quantity is counted mainly for abnormal frequency, duration:
1) terminal abnormal is offline: terminal communication throw bounce breath it is aggregated obtain occurring more than 30 throwings in 1 hour move back note
It is offline that the information of record is denoted as 1 terminal abnormal, and every generation is primary to press 1 hour record duration, and duration does not continue；
2) remote control actions fail: main website fails to complete remote control actions after issuing telecommand, including remote control selection fails, is distant
Control return to school unsuccessfully, remote control execute failure information, be denoted as 1 remote control actions failure reporting, and search for next time to be remotely controlled and be successfully
Record duration；
3) cell activation is abnormal: the instruction of terminal supplying power cell activation fails normally to execute, and is denoted as the abnormal report of 1 primary cell activation
It accuses, and searching for next cell activation is successfully record duration；
4) alternating voltage sampling is abnormal: alternating voltage sampling is abnormal to be referred mainly to generate larger difference with current line, that is, is reached
To the sampled data of 5% difference, and persistently exceed 3 sampling time intervals, it is abnormal to be denoted as 1 alternating voltage sampling, and search for
It samples to next alternating voltage successfully to record duration, time span value rounds up；
5) alternating current sampling is abnormal: the sampling node line upstream part switchs without separating brake, there are sample rate current, be no different
Then there is current sample and situation is straightened to be recorded as the sampling of 1 alternating current abnormal, and searches for next alternating current in normal characteristic quantity
It samples successfully as record duration；Then there is electricity without remote signalling shifting movement, no current distortion, characteristic quantity without exception in the sampling node
It is abnormal that stream distortion situation is recorded as 1 alternating current sampling, and searches for next alternating current and sample successfully as record duration；When
Between length value round up；
6) DC quantity is abnormal: the sampling node power supply is in except the normal range (NR) of 1~20mA of 0~5V of voltage or electric current
Situation, and searching for next DC quantity is normally record duration.
To being explained as follows for step 2:
Distribution terminal maintenance work score calculation formula:
In formula, E is distribution terminal maintenance work score, and i is that terminal corresponds to correlated characteristic amount number, and α refers to the type end
Abnormal time is held to weight value parameter, β refers to the type terminal abnormal frequency weighting value parameter, and δ refers to the type terminal O&M work
Make weighting parameters value, T1 indicates that the total length of time in statistical time range, t1 indicate holding after each abnormal generation in statistical time range
Continuous time, N1 indicate the default frequency of abnormity in statistical time range, and n1 indicates frequency of abnormity in statistical time range.
Generally new equipment, overall process to after being seriously worn is divided into three periods from going into operation, i.e., earlier failure period,
Chance failure period and wear-out failure phase.Bathtub curve of the present invention reflects fault signature of the equipment in entire service life, or
Person says the life characteristic for having reacted equipment, in fact, " bathtub curve " may also used to description machine components in service life
Interior fault signature may also used to the life characteristic of description part, only " the bathtub curve " of different parts in other words
Condition is different；
Below for the explanation of denominator fault condition in the present invention:
K is used to construct distribution terminal operation lifecycle function, running-in period, runtime, loss phase slope be respectively δ,
1, ε, to constitute bathtub curvilinear function；
Ln (m+1) reduces curve for constructing trouble shooting rate, that is, constructs the bathtub curve function with time correlation, real
Now to the fitting of maintenance and fault time, maintenance situation supplement is carried out to bathtub curve in this way；
D refers to the terminal family defect parameters factor, i.e., parameter setting can directly be used by innately having defective terminal device
Abnormal meeting is more；
η refers to probability of malfunction and weights value parameter, for by failure rate it is approximate with F score data uniformly, realize function can
It calculates；
Entirely construct in this way one can cover general terminal device service life damage curve, maintenance situation amendment,
Family's defect correction calculates modified function, the event based on the reflection equipment that this present invention can be apparent using bathtub curve
Hinder situation, facilitates the maintenance and inspection of staff.
Distribution terminal runs expected failure denominator calculation formula:
In formula, S is distribution terminal operation troubles denominator value, and δ refers to running-in period matching line segment slope factor, and ε refers to loss
Phase matching line segment slope factor, η refer to probability of malfunction and weight value parameter, T21Refer to end time running-in period node parameter, T22Refer to
Generation loss phase initial time node parameter, T3Refer to time between overhaul parameter, t3When referring to the terminal apart from last time maintenance interval
Between, D refers to the terminal family defect parameters factor.
It is calculated at this time by aforementioned formula:
P=1-F/S (3)
The result is distribution power automation terminal O&M index.
To being explained as follows for step 3:
The terminal device is divided into three levels according to distribution power automation terminal O&M index:
1) early warning: illustrating that the terminal abnormal situation takes place frequently, while lacking operation maintenance personnel processing work, in the following distribution terminal
When there are abnormal conditions, may cause the work steps such as fault location, fault section isolation can not be executed.
2) general: illustrate that the terminal will appear abnormal conditions, and related O&M service work has delay, it cannot be complete in time
Problematic processing needs in time note that future may cause problem sprawling, or automatically working is caused to be unable to ensure completion.
3) good: illustrate that the terminal abnormal conditions occurs and is in normal range (NR), and maintenance work can be completed in time, from
Dynamicization terminal basic module runs well, and can complete automatically working requirement.
The evaluation to automatization terminal maintenance work is completed, process terminates.
Distribution terminal is the important component of Distribution Automation Construction, is mainly used in 10kV overhead transmission line, completes to match
The operation detection of electric wire and monitoring function are realized to switching station, ring network cabinet, on-pole switch, distribution on 10kV/20kV power distribution network
The real time monitoring of the primary equipments such as transformer, capacitor.Distribution terminal acquires power distribution network real-time running data, detection, identification event
The operating condition of barrier, switchgear, is handled and is analyzed, and by means such as wire/wireless communications, upload information receives control
The continuous power supply of power supply is realized in system order.
Distribution terminal be realize electrical power distribution automatization system function basis, long-term Distribution Automation Construction experience have shown that, no
Same Distribution Automation Construction mode is not quite similar to the functional requirement of distribution terminal, advises according to State Grid Corporation of China's newest standards
Model, distribution terminal can be divided into according to the difference of type: the institute terminal D TU that stands (Distribution Terminal Unit), feeder line
Terminal FTU (Feeder Terminal Unit), distribution transformer terminals TTU (Transformer Terminal Unit), indicating fault
Device etc.；It is divided by function, and " three is distant " (remote signalling, telemetering, remote control) and " two is distant " (remote signalling, telemetering) type terminals can be divided into；
Wired communication mode and communication type terminals etc. can be divided into according to communication mode division.
Embodiment 2
Fig. 2 is embodiment flow chart, and specific implementation step is exemplified below:
Step 1, collect automatization terminal characteristic quantity
Summarize characteristic quantity for somewhere terminal device, chooses a wherein terminal device, count the end in one month scope
Hold characteristic quantity:
Terminal abnormal is offline: the generation extremely offline event of 18 terminals altogether, and timing 18 hours；
Remote control actions failure: 3 remote control operations are carried out altogether, do not occur remote control turkey；
Cell activation is abnormal: carrying out 1 primary cell activation act altogether, does not occur cell activation exception；
Alternating voltage sampling is abnormal: there are 2 voltage sample exceptions for the terminal, continue 2 hours, 1 hour respectively；
Alternating current sampling is abnormal: there are 2 primary currents sampling exceptions, 1 time to be straightened for telemetering current curve for the terminal
Situation is straightened in appearance, and time duration is 11 hours, and 1 time is that telemetering current curve occurs being straightened, current distortion, continues to draw
Directly, time duration is 54 hours；
DC quantity is abnormal: the terminal does not occur DC quantity abnormal data.
Step 2, terminal O&M index calculation formula is substituted into
Determine that each characteristic quantity calculating parameter value of formula 1 is respectively as follows:
1) terminal abnormal is offline: α 1, β 1；
2) remote control actions fail: α 10, β 5；
3) cell activation is abnormal: α 3, β 3；
4) alternating voltage sampling is abnormal: α 1, β 2；
5) alternating current sampling is abnormal: α 1, β 2；
6) DC quantity is abnormal: α 1, β 1；
7) δ the type terminal maintenance work weighting parameters value is 100；
Then calculation formula can substitute into data are as follows:
Determine that each characteristic quantity calculating parameter value of formula 2 is respectively as follows:
δ reference running-in period matching line segment slope factor is that -4, ε reference loss phase matching line segment slope factor is 4, is always put into operation
Year is limited to 15 years, then T21It refers to end time running-in period node parameter and takes 1 year, T22Refer to loss phase initial time node ginseng
Number takes 14 years, T3It refers to time between overhaul parameter and takes 2 years, t3It is 0.7 year that the terminal, which is referred to, apart from last time time between overhaul,
The terminal family defect parameters factor is 1 by zero defect, is 1.5 there are general family's defect, and serious family's defect is 2, then D takes
1, η reference probability of malfunction weighting value parameter takes 150.
Then calculation formula can substitute into data are as follows:
S=1 × ln (0.7/2+1) × 1 × 150 (5)
Therefore terminal O&M index can be calculated:
P=1-F/S=0.73 (6)
Step 3, terminal O&M situation analysis judgement
Here it is as follows three levels and score value to be corresponded into situation setting:
| O&M index score | 0-0.5 | 0.5-0.8 | 0.8-1 |
| The judgement of terminal O&M situation | Early warning | Generally | Well |
Therefore the available terminal device O&M situation is general, should start to consider to be included in general repair and maintenance work,
Consider processing existing issue.
Process terminates at this time.
Embodiment 3
The invention further relates to a kind of distribution power automation terminal O&M evaluation systems, comprising:
Acquisition module: for acquiring the data information of distribution terminal, and characteristic quantity is carried out to the data of acquisition and collects processing；
Obtain index value module: for calculating based on the characteristic quantity that collects that treated and preset terminal O&M index
Formula obtains O&M index value；
Judgment module: for judging the O&M situation of terminal based on the O&M index value.
The acquisition index value module includes obtaining to run expected fault condition submodule, and the acquisition runs expected failure
Situation submodule is expected based on failure denominator by being run by predetermined automatization terminal model parameter and distribution terminal
Formula is calculated, distribution terminal is obtained and runs expected failure denominator value.
The judgment module includes judging O&M situation submodule；
The judgement O&M situation submodule is used for when O&M index value is less than or equal to first threshold, and index situation is good
It is good；
When O&M index value, which is greater than first threshold, is less than or equal to second threshold, index situation is general；
When O&M index value is greater than second threshold, index situation early warning.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above is only the embodiment of the present invention, are not intended to restrict the invention, all in the spirit and principles in the present invention
Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it
It is interior.
Claims (10)
1. a kind of distribution power automation terminal O&M evaluation method, which is characterized in that the described method includes:
The data information of distribution terminal is acquired, and characteristic quantity is carried out to the data of acquisition and collects processing；
Based on collect that treated characteristic quantity and preset terminal O&M index calculating formula, O&M index value is obtained；
The O&M situation of terminal is judged based on the O&M index value；
Wherein, the terminal O&M index calculating formula includes: the distribution terminal maintenance work determined based on each terminal abnormal type
Score and distribution terminal run expected fault value situation.
2. a kind of distribution power automation terminal O&M evaluation method as described in claim 1, which is characterized in that the distribution terminal
Running expected fault condition includes:
The calculation formula that expected failure denominator is run based on predetermined automatization terminal model parameter and distribution terminal, is obtained
Distribution terminal runs expected failure denominator value.
3. a kind of distribution power automation terminal O&M evaluation method as claimed in claim 2, which is characterized in that the distribution terminal
Operation troubles denominator value is as follows:
S=kln (m+1) D η
In formula, η refers to probability of malfunction and weights value parameter；D refers to the terminal family defect parameters factor；K refers to fitting line slope power
Weight；M indicates repair time weight.
4. a kind of distribution power automation terminal O&M evaluation method as claimed in claim 3, which is characterized in that the fit line is oblique
Rate weight k is as follows:
In formula, k indicates fitting line slope weight；δ refers to running-in period matching line segment slope factor；ε refers to loss phase matching line segment
Slope factor；T21Refer to end time running-in period node parameter；T22Refer to loss phase initial time node parameter；T2 expression is worked as
Preceding service phase runing time.
5. a kind of distribution power automation terminal O&M evaluation method as claimed in claim 3, which is characterized in that the repair time
Weight m is as follows:
In formula, m indicates repair time weight；T3Refer to time between overhaul parameter；t3The terminal is referred to apart from last time maintenance interval
Time.
6. a kind of distribution power automation terminal O&M evaluation method as claimed in claim 5, which is characterized in that the terminal O&M
Index calculation formula is as follows:
P=1-F/S
In formula, F indicates distribution terminal maintenance work score；P indicates distribution power automation terminal O&M index.
7. a kind of distribution power automation terminal O&M evaluation method as claimed in claim 6, which is characterized in that the distribution terminal
Maintenance work score calculation formula is as follows:
In formula, i is that terminal corresponds to correlated characteristic amount number；α refers to the type terminal abnormal time weight value parameter；β is referred to should
Type terminals abnormal frequency weights value parameter；T1Indicate the total length of time in statistical time range；t1Indicate different every time in statistical time range
Duration after often occurring；N1Indicate the default frequency of abnormity in statistical time range；n1Indicate frequency of abnormity in statistical time range.
8. a kind of distribution power automation terminal O&M evaluation method as described in claim 1, which is characterized in that described based on described
O&M index value judges that terminal O&M situation includes:
When O&M index value is less than or equal to first threshold, index is all right；
When O&M index value, which is greater than first threshold, is less than or equal to second threshold, index situation is general；
When O&M index value is greater than second threshold, index situation early warning.
9. a kind of distribution power automation terminal O&M evaluation method as described in claim 1, which is characterized in that described to collect processing
Characteristic quantity include: distribution terminal exception frequency and duration；
The distribution terminal includes: offline terminal abnormal, remote control actions failure, cell activation exception, alternating voltage sampling extremely
Abnormal, alternating current sampling exception and direct current are abnormal.
10. a kind of distribution power automation terminal O&M evaluation system characterized by comprising
Acquisition module: for acquiring the data information of distribution terminal, and characteristic quantity is carried out to the data of acquisition and collects processing；
Obtain index value module: for based on collect that treated characteristic quantity and preset terminal O&M index calculating formula,
Obtain O&M index value；
Judgment module: for judging the O&M situation of terminal based on the O&M index value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811116569.9A CN109284837A (en) | 2018-09-25 | 2018-09-25 | A kind of distribution power automation terminal O&M evaluation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811116569.9A CN109284837A (en) | 2018-09-25 | 2018-09-25 | A kind of distribution power automation terminal O&M evaluation method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109284837A true CN109284837A (en) | 2019-01-29 |
Family
ID=65181928
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811116569.9A Pending CN109284837A (en) | 2018-09-25 | 2018-09-25 | A kind of distribution power automation terminal O&M evaluation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109284837A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110677638A (en) * | 2019-09-24 | 2020-01-10 | 福建榕基软件工程有限公司 | Equipment detection method, system and storage medium |
| CN111259313A (en) * | 2020-01-15 | 2020-06-09 | 同济大学 | Distribution automation terminal state maintenance method based on state evaluation grade |
| CN112698129A (en) * | 2020-12-11 | 2021-04-23 | 深圳供电局有限公司 | Power distribution network equipment reliability analysis method and system based on multi-system information fusion |
| CN114418150A (en) * | 2022-03-30 | 2022-04-29 | 深圳市永达电子信息股份有限公司 | Fault maintenance method and device for platform door system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104020754A (en) * | 2014-05-16 | 2014-09-03 | 国家电网公司 | Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system |
| CN105022019A (en) * | 2015-06-23 | 2015-11-04 | 国家电网公司 | Method of comprehensively estimating reliability of single-phase intelligent electric energy meter |
| CN106611244A (en) * | 2016-12-06 | 2017-05-03 | 国电南瑞科技股份有限公司 | Multi-dimensional comprehensive assessment method for state of power distribution automation secondary device |
| CN106991513A (en) * | 2016-08-17 | 2017-07-28 | 北京科东电力控制系统有限责任公司 | It is a kind of based on the distribution network terminal postitallation evaluation method for adopting profile data |
-
2018
- 2018-09-25 CN CN201811116569.9A patent/CN109284837A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104020754A (en) * | 2014-05-16 | 2014-09-03 | 国家电网公司 | Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system |
| CN105022019A (en) * | 2015-06-23 | 2015-11-04 | 国家电网公司 | Method of comprehensively estimating reliability of single-phase intelligent electric energy meter |
| CN106991513A (en) * | 2016-08-17 | 2017-07-28 | 北京科东电力控制系统有限责任公司 | It is a kind of based on the distribution network terminal postitallation evaluation method for adopting profile data |
| CN106611244A (en) * | 2016-12-06 | 2017-05-03 | 国电南瑞科技股份有限公司 | Multi-dimensional comprehensive assessment method for state of power distribution automation secondary device |
Non-Patent Citations (3)
| Title |
|---|
| 于泉;郭增增;梁锐;: "基于马尔科夫链的高速公路机电设备寿命预测研究模型", 公路交通科技, no. 01, 15 January 2018 (2018-01-15), pages 32 - 39 * |
| 张华正等: "基于大数据的配电自动化终端智能运维管理系统", 电气应用, 19 June 2018 (2018-06-19), pages 58 - 62 * |
| 朱吉然等: "配电自动化终端状态评价研究", 供用电, 21 April 2017 (2017-04-21), pages 59 - 62 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110677638A (en) * | 2019-09-24 | 2020-01-10 | 福建榕基软件工程有限公司 | Equipment detection method, system and storage medium |
| CN111259313A (en) * | 2020-01-15 | 2020-06-09 | 同济大学 | Distribution automation terminal state maintenance method based on state evaluation grade |
| CN112698129A (en) * | 2020-12-11 | 2021-04-23 | 深圳供电局有限公司 | Power distribution network equipment reliability analysis method and system based on multi-system information fusion |
| CN114418150A (en) * | 2022-03-30 | 2022-04-29 | 深圳市永达电子信息股份有限公司 | Fault maintenance method and device for platform door system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109284837A (en) | A kind of distribution power automation terminal O&M evaluation method and system | |
| CN111382789B (en) | Power load identification method and system based on machine learning | |
| CN110609210B (en) | Power grid fault diagnosis and alarm method based on multi-source data fusion | |
| CN105471106A (en) | Distribution power automation terminal with equipment state monitoring function and monitoring method | |
| CN111353911A (en) | Power equipment operation and maintenance method, system, equipment and storage medium | |
| CN109084413A (en) | Air conditioner installation and debugging report generation system and method and air conditioning unit | |
| CN111581196A (en) | Supply and distribution power grid intelligent data acquisition and arrangement system based on intelligent factory framework | |
| CN109508945A (en) | A kind of method of dispatching automation information point automatic checking | |
| CN114399148A (en) | Equipment maintenance scheduling system based on big data calculation analysis | |
| CN111830342B (en) | Multi-system fusion intelligent substation relay protection dynamic fixed inspection method | |
| CN104834305B (en) | Distribution automation terminal remote measurement exception analysis system and method based on DMS systems | |
| CN111027026A (en) | Meter reading data abnormity intelligent diagnosis system | |
| CN115660631A (en) | Power distribution terminal state evaluation method based on correction weight fault tree model | |
| CN106340963B (en) | A kind of power distribution room intelligence generation dimension monitoring system | |
| CN117374978B (en) | Grid-connected scheduling management method and system constructed by combining knowledge graph | |
| CN112036712B (en) | Distribution terminal state evaluation index weight distribution method | |
| CN109255445A (en) | A kind of intelligent periodical inspection method of the protective device based on multi-source data analysis | |
| CN109581266B (en) | Running health condition analysis method of all-fiber current transformer | |
| CN113590368B (en) | Abnormal equipment diagnosis method and system based on edge-to-edge coordination | |
| CN115940134A (en) | Distribution network data analysis processing method based on fault-tolerant data | |
| CN115951172A (en) | Method, device and equipment for positioning metering point of abnormal unbalanced electric quantity of bus | |
| CN113187672B (en) | Potential evaluation method of wind power station | |
| CN110633270B (en) | Multi-strategy electric meter daily freezing value automatic substitution method and device based on priority | |
| CN210167857U (en) | Device for reporting sectional line loss and power failure | |
| CN104104292A (en) | Real-time power generator excitation system state wide area acquisition system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |