CN105913190A - Calculation method for alarm accuracy of ferromagnetic resonance fault - Google Patents
Calculation method for alarm accuracy of ferromagnetic resonance fault Download PDFInfo
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- CN105913190A CN105913190A CN201610236849.8A CN201610236849A CN105913190A CN 105913190 A CN105913190 A CN 105913190A CN 201610236849 A CN201610236849 A CN 201610236849A CN 105913190 A CN105913190 A CN 105913190A
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas 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
Abstract
The invention discloses a calculation method for alarm accuracy of a ferromagnetic resonance fault. The method comprises: prior probabilities of normal states of all potential transformers are obtained by obtaining relevant data of ferromagnetic resonance of power grid; on the basis of analyses of three kinds of state during a ferromagnetic resonance over-voltage process and a state transfer probability of mutual transferring between three kinds of states, a corresponding Bayesian network topological graph is constructed; a causal relationship between the three kinds of states of the ferromagnetic resonance over-voltage process and ferromagnetic resonance fault occurrence of all PTs is described clearly. Assumption and combination of uncertain states in alarm results are carried out; all probabilistic combination units of PTs with suspected ferromagnetic resonance fault occurrence in the power grid are found out; one combination unit with the highest probability is then found and is compared with given alarm information; and if the PT corresponding to the combination unit with the highest probability is consistent with a suspected faulted PT provided by the alarm information, alarm information is determined to be accurate; and otherwise, the alarm is determined to be wrong alarm information and then specific PTs with wrong fault determination can be analyzed further.
Description
Technical field
The present invention relates to a kind of ferromagnetic resonance accident analysis accuracy technology, be a kind of ferromagnetic resonance fault alarm accuracy
Computational methods.
Background technology
The ferro-resonance over-voltage phenomenon caused in power system in recent years has had a strong impact on the safe operation of system.Ferromagnetic
Resonance phenomena often occurs in the loop of voltage transformer composition, easily causes the fusing blast of voltage transformer fuse to burn
Ruin.At present, ferro-resonance over-voltage is carried out by the most many experts and scholars by the method such as theory analysis, test simulation
Numerous studies.China mainly use the mode setting residual voltage threshold values whether to judge the generation of ferromagnetic resonance, but,
Singlephase earth fault, also can produce bigger residual voltage under the failure condition such as three-phase imbalance.Therefore, this judgement side
Method inaccuracy, easily produce erroneous judgement, and the consequence of erroneous judgement is likely to result in bigger loss.This is accomplished by a kind of ferromagnetic resonance event
Whether the computational methods of barrier warning accuracy, be analyzed the warning message given being erroneous judgement, provide auxiliary to maintainer
Decision-making is helped to help, the accuracy to the fault diagnosis filter improving ferromagnetic resonance, be of great practical significance.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the present invention provides a kind of ferromagnetic resonance fault alarm accurate
The really computational methods of property.Obtain relative alarm information after there is ferromagnetic resonance fault, combine according to Bayesian network topological diagram
In warning message there is the probabilistic combination of ferromagnetic resonance fault in each PT, and wherein maximum probability combination is physical fault PT,
Corresponding compared with previous warning message, the accuracy of warning message can be passed judgment on.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
According to given data, the accuracy in conjunction with relative alarm information each after ferromagnetic resonance fault effectively calculates, tool
Body step is as follows, as shown in flow chart Fig. 2:
(1) power distribution network ferromagnetic resonance related data is obtained
From database, arrange and calculate this area's prior probability of each PT normal condition in power distribution network over nearly 3 years.
(2) analysis to PT ferro-resonance over-voltage process
Ferro-resonance over-voltage process is divided into three kinds of states: normal condition, excited state and ferro-resonance over-voltage state.
Can occur between these three state mutually to shift, existence transition probability.Three kinds during ferro-resonance over-voltage are not
Same state will directly affect PT, now does and analyzes as follows:
1. normal condition excited state ferro-resonance over-voltage state, this situation can cause PT ferromagnetic resonance
Fault.
2. normal condition excited state normal condition, although centre lives through excited state, but whole distribution
Net system is adjusted in time, finally recovers to normal condition, if the most not analyzing final normal shape
State, then be likely to result in the erroneous judgement of analytical equipment.
(3) Bayesian network topological diagram is built according to three states of above-mentioned ferro-resonance over-voltage process
Directed arc is i.e. can use to represent state transition probability described in step (2), normal condition, excited state, ferromagnetic
Resonance overvoltage state these three state i.e. can use node table to show.Between two variablees the most relevant can by node it
Between connection observe obtain.Utilize node and the relation with directed arc can build Bayesian network topological diagram, such as Fig. 1 institute
Show.
(4) the analysis process to ferromagnetic resonance alarming result
Three kinds of states described in step (3) are associated with each PT, set here all of PT only with
One in lower two states: if there is ferromagnetic resonance, be then designated as 1；If non-ferromagnetic resonance, then it is designated as 0.With this
The important distinguishing rule of ferromagnetic resonance fault whether is there is as PT.When there is PT ferromagnetic resonance fault in power distribution network,
Obtain and analyze alarming result, all PT in alarming result are classified as doubtful ferromagnetic resonance fault element.According to each PT
With the incidence relation of three kinds of states, analyze three kinds of states of the PT of doubtful generation ferromagnetic resonance fault, integrating step (3)
In three kinds of state transition probabilities and the Bayesian network topological diagram shown in Fig. 1, find out all doubtful generations in power distribution network ferromagnetic
All probabilistic combination of the PT of resonance fault, then find out wherein maximum probability one group, with the alarm signal manner of breathing given
Relatively, if the suspected malfunctions PT that the PT corresponding to maximum probability combination is given with warning message is consistent, i.e. can determine whether
Warning message is accurate；If it is inconsistent, then it is assumed that this time to report to the police as erroneous judgement, it is possible to analyzing further is which PT misses
Sentence.
(6) present invention can provide aid decision to help by calculating the accuracy of fault alarm information for trouble hunting personnel,
Improve power distribution network reliability of operation.
Accompanying drawing explanation
Fig. 1 is ferromagnetic resonance fault Bayesian network topological diagram of the present invention；
Fig. 2 is ferromagnetic resonance fault alarm accuracy computational methods flow chart of the present invention；
Fig. 3 is the power system local wiring diagram of the present invention.
Detailed description of the invention
It is embodied as being further described to the present invention below.
This enforcement has following partial schematic diagram power distribution network verify a certain
It is embodied as step as follows:
(1) when power distribution network occurs PT ferromagnetic resonance fault, all PT in alarming result are classified as doubtful ferromagnetic humorous
Shake fault element.It is embodied as in example above-mentioned, it is assumed that analyzing alarming result is that 1,3, No. 5 generations are ferromagnetic humorous
Shaking, then the most corresponding PT1, PT3, PT5 the two voltage transformer generation ferromagnetic resonance, this is according to warning
The preliminary judgement of result.
(2) according to the preliminary judged result in step (1), PT1, PT3, PT5 the two voltage transformer is found.
The Bayesian network topological diagram built according to three kinds of states sets probability parameter as shown in the table:
Table 1
As can be seen from the above table, PT1, PT3 and PT5 are in the prior probability under normal condition, and each electricity
Transition probability between pressure three kinds of states of transformer.
(3) for each voltage transformer, it is set as following two state: if there is ferromagnetic resonance, be then designated as 1；
If non-ferromagnetic resonance, then it is designated as 0.In the above-described embodiment, PT1, PT3, PT5 the two element group
The most corresponding four kinds of states altogether, as shown in the table:
Table 2
(4) according to the relation of Bayesian network topological diagram, by table 1 to data, calculate in table 2 eight kinds
Shape probability of state is respectively as follows: { 0,0,0} 0.0024, { 0,0,1} 0.0873, { 0,1,0} 0.0569, { 1,0,0}
0.0745,0,1,1} 0.1954,1,0,1} 0.2109,1,1,0} 0.1869,1,1,1} 0.7632,
There is the maximum probability of ferromagnetic resonance in visible PT1, PT3, PT5, it is possible to the PT1 that reaches a conclusion, PT3,
PT5 there occurs ferromagnetic resonance.
(5) by the conclusion of institute in step (4) with the warning message given compared with, it is seen that maximum probability combine right
The suspected malfunctions PT that the PT answered is given with warning message is consistent, is all to determine PT1, PT3, PT5 to occur
Ferromagnetic resonance, i.e. can determine whether that this warning message is accurate.
The implementation case data are less, and as increased data, institute's result of calculation will be more accurate.
Embodiment described above is only the specific descriptions to the present invention, is not defined present disclosure.
It is noted that, for those skilled in the art, under the premise without departing from the principles of the invention,
Can also make some improvements and modifications, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (2)
1. the computational methods of a ferromagnetic resonance fault alarm accuracy, it is characterised in that: include obtaining power distribution network ferromagnetic humorous
Shake related data, analyze PT ferro-resonance over-voltage process, build Bayesian network topological diagram, standard to alarming result
Really property carries out calculating this four parts.
The computational methods of ferromagnetic resonance fault alarm accuracy the most according to claim 1, it is characterised in that concrete
Comprise the following steps:
(1) power distribution network ferromagnetic resonance related data is obtained
From database, arrange and calculate this area's prior probability of each PT normal condition in power distribution network over nearly 3 years.
(2) analysis to PT ferro-resonance over-voltage process
Ferro-resonance over-voltage process is divided into three kinds of states: normal condition, excited state and ferro-resonance over-voltage state.
Can occur between these three state mutually to shift, existence transition probability.Three kinds during ferro-resonance over-voltage are not
Same state will directly affect PT, now does and analyzes as follows:
1. normal condition excited state ferro-resonance over-voltage state, this situation can cause PT ferromagnetic resonance
Fault；
2. normal condition excited state normal condition, centre lives through excited state, but whole distribution network system
Being adjusted in time, finally recovering to normal condition, if the most not analyzing final normal condition, then
It is likely to result in the erroneous judgement of analytical equipment；
(3) Bayesian network topological diagram is built according to three kinds of states of above-mentioned ferro-resonance over-voltage process
Described in step (2), state transition probability i.e. can use directed arc to represent, normal condition, excited state, ferromagnetic humorous
Overvoltage condition these three state of shaking i.e. can use node table to show.The most relevant between two variablees can be by between node
Connection observe obtain, utilize the relation of node and directed arc can build Bayesian network topological diagram.
(4) the analysis process to ferromagnetic resonance alarming result
Three kinds of states described in step (3) are associated with each PT, set here all of PT only with
One in lower two states: if there is ferromagnetic resonance, be then designated as 1；If non-ferromagnetic resonance, then it is designated as 0.With this
The important distinguishing rule of ferromagnetic resonance fault whether is there is as PT.When there is PT ferromagnetic resonance fault in power distribution network,
Obtain and analyze alarming result, all PT in alarming result are classified as doubtful ferromagnetic resonance fault element.According to each PT
With the incidence relation of three kinds of states, analyze three kinds of states of the PT of doubtful generation ferromagnetic resonance fault, integrating step (3)
In three kinds of state transition probabilities and the Bayesian network topological diagram shown in Fig. 1, find out all doubtful generations in power distribution network ferromagnetic
All probabilistic combination of the PT of resonance fault, then find out wherein maximum probability one group, with the alarm signal manner of breathing given
Relatively.If the suspected malfunctions PT that the PT corresponding to maximum probability combination is given with warning message is consistent, i.e. can determine whether
Warning message is accurate；If it is inconsistent, then it is assumed that this time to report to the police as erroneous judgement, it is possible to analyzing further is which PT misses
Sentence.
(5) present invention can be by calculating the accuracy of ferromagnetic resonance fault alarm information, and for trouble hunting, personnel provide auxiliary
Decision-making helps, and improves power distribution network reliability of operation.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101452040A (en) * | 2008-12-30 | 2009-06-10 | 中国瑞林工程技术有限公司 | Ferro resonance failure diagnosis expert system |
| CN104237634A (en) * | 2014-08-14 | 2014-12-24 | 国家电网公司 | Device for diagnosing and eliminating power distribution network PT ferromagnetic resonance faults |
| CN104377676A (en) * | 2014-10-31 | 2015-02-25 | 国家电网公司 | PT intelligent resonance elimination device for power distribution network |
| CN105045782A (en) * | 2014-11-14 | 2015-11-11 | 国家电网公司 | Ferroresonance fault knowledge base construction method |
-
2016
- 2016-04-15 CN CN201610236849.8A patent/CN105913190A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101452040A (en) * | 2008-12-30 | 2009-06-10 | 中国瑞林工程技术有限公司 | Ferro resonance failure diagnosis expert system |
| CN104237634A (en) * | 2014-08-14 | 2014-12-24 | 国家电网公司 | Device for diagnosing and eliminating power distribution network PT ferromagnetic resonance faults |
| CN104377676A (en) * | 2014-10-31 | 2015-02-25 | 国家电网公司 | PT intelligent resonance elimination device for power distribution network |
| CN105045782A (en) * | 2014-11-14 | 2015-11-11 | 国家电网公司 | Ferroresonance fault knowledge base construction method |
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