CN206114829U - Join in marriage online identification system of power system fault district section - Google Patents
Join in marriage online identification system of power system fault district section Download PDFInfo
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- CN206114829U CN206114829U CN201621190394.2U CN201621190394U CN206114829U CN 206114829 U CN206114829 U CN 206114829U CN 201621190394 U CN201621190394 U CN 201621190394U CN 206114829 U CN206114829 U CN 206114829U
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Abstract
The utility model discloses a join in marriage online identification system of power system fault district section, track the module including the electric network composition, electric wire netting subregion decoupling zero module, data processing module, synchronous ware, the module is tracked to the electric wire netting trend, module and control main website are discerned to the trouble, the input that the module was tracked to the electric network composition is connected with the distribution network, the module was tracked to the electric network composition output respectively with electric wire netting subregion decoupling zero module, synchronous ware is connected, electric wire netting subregion decoupling zero module is connected with data processing module, data processing module discernes the module with the trouble and is connected, the distribution network, synchronous ware is tracked the module with the electric wire netting trend respectively and is connected, electric wire netting trend pursuit module is discerned the module with the trouble and is connected, the module is tracked to the electric wire netting trend, the trouble discern the module all with control the main website be connected. The utility model discloses to multiple fault strong adaptability, have global convergence nature, numerical stability is good, it is efficient to discern, the fault -tolerance is high, and especially adapted online complicated multiple fault in extensive distribution network discernes.
Description
Technical field
This utility model is related to the technical field of intelligent distribution network, and in particular to a kind of distribution network failure section on-line identification
System.
Background technology
Power distribution network is located at power system end, is directly connected with user, and with covering, region is wide, geographical environment is complicated more
Become, operation interference factor is more, the features such as be susceptible to failure, rapidly and accurately pick out distribution network failure generation section and to it
Isolation, it has also become lift the key measures of power distribution network intelligent level and power supply safety reliability.In recent years, with its people
Economic scale process is significantly increased, and in order to tackle the energy demand of its high speed development, power distribution network scale is more and more huge.State
Most of distribution network systems above county level include hundred feeder lines in the system of family's grid company, in some, the middle pressure of large size city
Feeder line has met or exceeded thousand, and failure possibility occurrence and multiple failure probability are dramatically increased therewith, using malfunction monitoring
The uncertainty of data also will increase, and how be effectively realized the on-line identification in real time of distribution network failure section, lift its reply
Probabilistic ability, has strong adaptability to multiple failure, with fault identification rapidity and high reliability, it has also become current
The technical barrier for facing.
As electric intelligent monitor terminal FTU etc. is more and more extensively applied in engineering, can be to the operation of power distribution network tide
The dynamic on-line monitoring of the stream information such as information such as electric current, voltage, phase place, using above- mentioned information can it is economical, easily realize distribution
The identification of net fault section.The side that related scholar has been recognized using the overcurrent information realization distribution network failure section of FTU collections
Method has carried out numerous studies, mainly has：Ffault matrix identification method and optimization discrimination method.
Ffault matrix identification method is applied in engineering, but it is to the fault identification under information distortion and multiple failure
Ability lacks strong adaptability, misjudgement easily occurs or fails to judge, and versatility is not strong.Optimization discrimination method has anti-uncertain energy
The advantage that power is strong and versatility is good, but the modeling method of early stage is based on logical relation modeling, although it is capable of achieving multiple failure
Identification, but modeling process is complicated, identification result is affected the presence of reliability by random factor, and fault identification efficiency
It is low, it is difficult to be applied to large-scale distribution network.In order to effectively overcome the defect of above-mentioned optimization method, the failure based on algebraic specification is most
Optimization method is suggested, but mutually only when approaching because not taking into full account the out-of-limit information alert collection of electric current and switch function when modeling
The fault-current signal parallel connection superimposed characteristics of vertical branch road, so that it lacks the strong adaptability to multiple failure positioning, and are carried
The related algorithm for going out realizes that complicated, convergence is affected by initial point selection, there is integrity problem, may cause to misjudge or leak
Sentence.
From discussed above as can be seen that the distribution network failure positioning and optimizing technology based on FTU of current main-stream is in multiple event
Also there is notable deficiency in the application in barrier stationkeeping ability and large-scale distribution network.Therefore, study a kind of based on the relatively reliable of FTU
Efficient On-line Fault identification system remains as technical problem to be solved.
Utility model content
This utility model solves the Distribution Fault Location System suitability not low technical problem of strong and reliability, there is provided
A kind of distribution network failure section on-line identification system, with the function to feeder line Arbitrary Digit failure accurate recognition, fault-tolerance is high, Shandong
Rod is strong, and from arbitrary initial point correct abort situation can be reliablely and stablely picked out, and realizes convenient, highly versatile, decision-making
Efficiency high, is particularly suited for the on-line fault diagnosis of large-scale distribution network.
In order to solve above-mentioned technical problem, the technical solution of the utility model is：A kind of distribution network failure section is distinguished online
Knowledge system, including the tracking of electric network composition tracing module, sub-area division decoupling module, data processing module, lock unit, electric network swim
Module, fault identification module and control main website, the input of electric network composition tracing module is connected with power distribution network, and electric network composition is chased after
The outfan of track module is connected respectively with sub-area division decoupling module, lock unit, the outfan of sub-area division decoupling module with
The input of data processing module is connected, and the outfan of data processing module is connected with the input of fault identification module,
Power distribution network, lock unit are connected respectively with the input of electric network swim tracing module, the outfan of electric network swim tracing module with
Fault identification module is connected, and electric network swim tracing module, the outfan of fault identification module are connected with control main website.
Further, the electric network composition tracing module is made up of power grid GIS, power grid GIS
For the storage of distribution net work structure matrix, the response of feed connection node opening and closing information and storage.
Further, the sub-area division decoupling module includes computing module, memory module and information exchange module, information
The input of interactive module is connected with the outfan of power grid GIS, the outfan of information exchange module respectively with meter
Calculate module to be connected with memory module, computing module is connected with memory module.
Further, the computing module realizes the identification of power distribution network isolated area by treeˉsearch method, and memory module is used
In power distribution network initiating structure matrix, the storage of priority structure discernibility matrixes, information exchange module is realized and electrical network geography information
Data information transfer between system and data processing module.
Further, the computing module adds the framework of ROM to realize using CPU, and memory module adopts big capacity hard disk reality
Existing, information exchange module is wired using duplex communication and wireless mode is realized.
Further, the data processing module is using real-time data base realization, the input and electrical network of real-time data base
The outfan of the information exchange module of subregion decoupling module is connected, and the outfan of real-time data base is connected with fault identification module
Connect；The real-time data base is subordinate to the management of power distribution network isolated area and passes with the data message of fault identification intermodule for feeder line
It is defeated.
Further, the lock unit realizes that the input of logical trigger is geographical with electrical network to be believed using logical trigger
Breath system is connected, and the outfan of logical trigger is connected with electric network swim tracing module.
Further, the electric network swim tracing module realizes that electric network swim tracing module is used for using SCADA system
Collection, the generation of warning message collection and the transmission of warning message of FTU overcurrent information.
Further, the fault identification module is made up of failure predication module and fault correction module, failure predication mould
Block and fault correction module are used to realize the identification of feeder fault section that failure predication module and fault correction module to adopt PC
Realize.
Further, the control main website adopts high-performance computer and the Visualization Platform based on Windows is realized, control
Main website processed with the interaction of SCADA system by carrying out adjusting for electric current warning reference value and isolating for fault section.
The modeling that this utility model not only inherits the distribution network failure positioning and optimizing model described based on algebraic relation is excellent
Gesture, and to power distribution network using subregion decoupling method so as to there is strong adaptability to multiple failure, fault diagnosis module is using pre-
Alignment technique is surveyed, without the need for carrying out direct decision-making to discrete variable, fault identification process has global convergence, numerical stability
Good, identification efficiency high, and with high fault tolerance, it is very suitable for the online complicated multiple failure identification of large-scale distribution network, together
When, because directly utilizing the topology information of power grid GIS and the trend operation information of SCADA system, not only highly versatile
And comprehensive economy is good, construction cost can be greatly lowered.
Description of the drawings
In order to be illustrated more clearly that this utility model embodiment or technical scheme of the prior art, below will be to embodiment
Or the accompanying drawing to be used needed for description of the prior art is briefly described, it should be apparent that, drawings in the following description are only
It is some embodiments of the present utility model, for those of ordinary skill in the art, in the premise for not paying creative work
Under, can be with according to these other accompanying drawings of accompanying drawings acquisition.
Fig. 1 is the structural representation of this utility model embodiment 1.
Fig. 2 is the structural representation of this utility model embodiment 2.
Specific embodiment
Below in conjunction with the accompanying drawing in this utility model embodiment, the technical scheme in this utility model embodiment is carried out
Clearly and completely describe, it is clear that described embodiment is only a part of embodiment of this utility model, rather than whole
Embodiment.Based on the embodiment in this utility model, those of ordinary skill in the art are not under the premise of creative work is paid
The every other embodiment for being obtained, belongs to the scope of this utility model protection.
Embodiment 1
As shown in figure 1, a kind of distribution network failure section on-line identification system, including electric network composition tracing module 1, electrical network point
Area's decoupling module 2, data processing module 3, lock unit 4, electric network swim tracing module 5, fault identification module 6 and control main website 7,
The input of electric network composition tracing module 1 is connected with power distribution network 8, the outfan of electric network composition tracing module 1 respectively with electrical network
Subregion decoupling module 2, lock unit 4 are connected, the outfan of sub-area division decoupling module 2 and the input of data processing module 3
It is connected, the outfan of data processing module 3 is connected with the input of fault identification module 6,4 points of power distribution network 8 and lock unit
It is not connected with the input of electric network swim tracing module 5, outfan and the fault identification module 6 of electric network swim tracing module 5
It is connected, the outfan of electric network swim tracing module and fault identification module 6 is connected with control main website 7.
The course of work：
Step 1：The situation of change of the dynamic topological structure of on-line checking power distribution network 8 of electric network composition tracing module 1, if topological
Topologies change situation is uploaded to sub-area division decoupling module 2 and is realized by structure change, one side electric network composition tracing module 1
Information sharing；Sub-area division decoupling module 2 is stored to topology variation situation, while determining power distribution network by setting searching method
Isolated area and the affiliated power distribution network of each feeder line isolated area, be sent to data processing module 3, data processing module 3 passes through
Waiting line approach determines the priority relationship of feeder line in isolated area, and by power distribution network isolated area and isolated area feeder line it is preferential
Level relation is sent to fault identification module 6；On the other hand, lock unit 4 is triggered, and lock unit semi-finals electric network swim tracing module 5 is adopted
The Power Flow Information of collection power distribution network 8, judges that power distribution network 8 whether there is current information.If the repeat step that do not break down 1, if matching somebody with somebody
Grid collapses execution step 2.
Step 2：Electric network swim tracing module 5 is by the out-of-limit information sharing of fault current to fault identification module 6, fault identification
The startup separator identification program of module 6, recognizes first the power distribution network isolated area that is out of order, and realizes that failure is tentatively pre- using interior point method
Survey, and pick out fault section, finally fail result is uploaded to into the isolation that control main website 7 realizes fault section.
Embodiment 2
As shown in Fig. 2 a kind of distribution network failure section on-line identification system, including electric network composition tracing module 1, electrical network point
Area's decoupling module 2, data processing module 3, lock unit 4, electric network swim tracing module 5, fault identification module 6 and control main website 7,
The input of electric network composition tracing module 1 is connected with power distribution network 8, the outfan of electric network composition tracing module 1 respectively with electrical network
Subregion decoupling module 2 is connected with lock unit 4, the outfan of sub-area division decoupling module 2 and the input of data processing module 3
It is connected, the outfan of data processing module 3 is connected with the input of fault identification module 6,4 points of power distribution network 8 and lock unit
It is not connected with the input of electric network swim tracing module 5, outfan and the fault identification module 6 of electric network swim tracing module 5
It is connected, electric network swim tracing module 5, the outfan of fault identification module 6 are connected with control main website.
Preferably, electric network composition tracing module 1 is made up of power grid GIS 101, for distribution net work structure matrix
Storage, the response of feed connection node opening and closing information and storage.
Preferably, sub-area division decoupling module 2 includes computing module 201, memory module 202 and information exchange module 203,
The input of information exchange module 203 is connected with the outfan of power grid GIS 101,203 points of information exchange module
It is not connected with computing module 201, memory module 202, memory module 202 is connected with computing module 201.Computing module 201
The identification of power distribution network isolated area is realized by setting searching method, memory module 202 is used for power distribution network initiating structure matrix and excellent
The storage of first level structure discernibility matrixes, information exchange module 203 is realized and power grid GIS 101 and data processing module
Data information transfer between 3.Computing module 201 preferably adds the framework of ROM to realize that memory module 202 adopts Large Copacity using CPU
Hard disk, information exchange module 203 is wired using duplex communication and wireless mode is realized.
The computing module 201 of sub-area division decoupling module 2 realizes that the method that power distribution network isolated area is recognized is：With T-shaped coupling
Node is closed for mark, if the branch road other end is connected with power supply, one isolated area of branch road composition between switching node and power supply；If
The branch road other end is connected with switching node, and the feeder line between two switching nodes constitutes an isolated area；If the branch road other end without
Power supply point or switching node, then feeder line branch road between switching node and branch road endpoint node constitute an isolated area.
The forming method of power distribution network priority structure discernibility matrixes is in sub-area division decoupling module 2, the ranks of matrix P'
Number is equal to isolated area number, and the diagonal entry of matrix P' is all 1, if for off diagonal element isolated area i and independent zones
Domain j is close to and i priority is higher than j, then P'i,jFor 1, element of remaining row of jth row is 0, if j priority is higher than isolated area
I, then matrix P'i,jFor 1, element of remaining row of the i-th row is 0.
Preferably, data processing module 3 realizes that the input of real-time data base 301 divides with electrical network using real-time data base 301
The outfan of information exchange module 203 of area's decoupling module 2 is connected, and real-time data base outfan is connected with fault identification module 6
Connect.Real-time data base 301 for feeder line be subordinate to power distribution network isolated area management and with the data message between fault identification module 6
Transmission.
Preferably, lock unit 4 realized using logical trigger 401, logical trigger 401 and power grid GIS
101 are connected.When power distribution network topologies change, logical trigger 401 forces the synchronous tracking of electric network swim tracing module 5 to be matched somebody with somebody
Electric network swim changes.
Preferably, electric network swim tracing module 5 realizes preferably by SCADA system 501, for FTU overcurrent information
Collection, the generation of warning message collection, the transmission of warning message.
Preferably, fault identification module 6 is made up of failure predication module 601 and fault correction module 602.Failure predication mould
Block 601 and fault correction module 602 are used to realize the identification of feeder fault section, are preferably realized from PC.Failure predication
Module 601 adopts distribution network failure identification model for the secondary convex ruleization model of continuous space and interior-point algohnhm, realizes to failure
The preliminary forecasting of section.Fault correction module 602 premised on the predicting the outcome of failure predication module 601, using Constraints
Quadratic programming model and round algorithm, realize the identification to fault section.
Failure predication module 601 carries out power distribution network isolated area failure coefficient K's using priority structure discernibility matrixes P'
Identification, KjThe failure coefficient of j-th power distribution network isolated area is represented, is 1 to represent power distribution network isolated area and there is the out-of-limit letter of electric current
Breath, is 0 to represent no current and get over limit information, is that 1 power distribution network isolated area participates in the modeling of fault identification forecast model.Failure is pre-
Survey module 601 pairs and there is electric current and get over the power distribution network isolated area of limit information and be predicted model modeling, X is feeder line state set, f
(X) it is optimization object function, J is that power distribution network isolated area is numbered, NjIt is total for isolated area feeder line branch road,It is out-of-limit for electric current
Information alert collection I*In i-th element, Ii(X) be i-th automatic Switching switch function, Bi(X) it is i-th automatization
The electric current of switch gets over limit information approach relationship function, x (i) for feeder line i feeder line status information, NjFor j-th power distribution network independence
Region feeder line number, distribution network failure that failure predication module 601 is adopted identification quadratic convex programming model for：
Further, ifRespectively distribution network failure identification quadratic convex programming model globe optimum and
Its target function value, △ X are independent variable disturbance quantity,For the first derivative matrix of optimization object function f (X), failure school
The distribution network failure complementary localisation of positive module 602 constrains quadratic programming model：
Wherein, h (△ X) is the single order of optimization object function f (X) taylor series expansion and the algebraical sum of second order term, g
(△ X) is the second order term of optimization object function f (X) Taylor series,For the matrix of second derivatives of object function, i.e. sea
Gloomy matrix.
Preferably, the Visualization Platform for controlling main website 7 using high-performance computer and being based on Windows is realized, can passed through
With the SCADA system 501 of electric network swim tracing module 5 interact carry out the adjusting of electric current warning reference value, fault section every
From.
The course of work：Step 1：The dynamic on-line checking of power grid GIS 101 of electric network composition tracing module 1 is matched somebody with somebody
The topologies change situation of electrical network 8, if topologies change, by information exchange module 203 by topologies change situation
Reach sub-area division decoupling module 2 and realize information sharing, sub-area division decoupling module 2 is by memory module 202 to change in topology
Situation is stored, and computing module 201 is passed through based on the topological structure stored in memory module 202 and the change information of topology
Tree searching method determines power distribution network isolated area and the affiliated power distribution network isolated area of each feeder line, and by information exchange module 203
The information of power distribution network isolated area and the affiliated power distribution network isolated area of each feeder line, area priority information are shared to data processing
Module 3, i.e. real-time data base 301, real-time data base 301 determines the priority relationship of feeder line in isolated area by waiting line approach,
And the priority relationship of feeder line in power distribution network isolated area and isolated area is sent to into fault identification module 6；Meanwhile, lock unit
4 triggerings, the SCADA system of lock unit semi-finals electric network swim tracing module 5 gathers the Power Flow Information of power distribution network 8, judges power distribution network
8 whether there is current information, if not breaking down repeat step 1, the execution step 2 if power distribution network 8 breaks down.
Step 2：Electric network swim tracing module 5 is by the out-of-limit information sharing of fault current to fault identification module 6, fault identification
The startup separator identification process of module 6, recognizes first the power distribution network isolated area that is out of order, then startup separator prediction module, utilizes
Interior point method realizes failure preliminary forecasting, last startup separator correction module, so as to pick out fault section, and by fail result
Control main website 7 is reached, the isolation of fault section is realized.
This utility model not only inherits the advantage of the distribution network failure positioning and optimizing model described based on algebraic relation, and
The method that power distribution network is decoupled using subregion so as to there is strong adaptability to multiple failure, fault diagnosis module is using prediction school
Positive technology, without the need for carrying out direct decision-making to discrete variable, fault identification process has a global convergence, better numerical value stability, distinguishes
Know efficiency high, with high fault tolerance, be very suitable for the online complicated multiple failure identification of large-scale distribution network；Meanwhile, because straight
The trend operation information of topology information using GIS-Geographic Information System and SCADA system is connect, not only highly versatile and mixed economy
Property is good, and construction cost can be greatly lowered.
The above, only this utility model preferably specific embodiment, but protection domain of the present utility model is not
This is confined to, any those familiar with the art can readily occur in the technical scope that this utility model is disclosed
Change or replacement, all should cover within protection domain of the present utility model.
Claims (10)
1. a kind of distribution network failure section on-line identification system, it is characterised in that including electric network composition tracing module（1）, electrical network
Subregion decoupling module（2）, data processing module（3）, lock unit（4）, electric network swim tracing module（5）, fault identification module（6）
With control main website（7）, electric network composition tracing module（1）Input and power distribution network（8）It is connected, electric network composition tracing module
（1）Outfan respectively with sub-area division decoupling module（2）, lock unit（4）It is connected, sub-area division decoupling module（2）It is defeated
Go out end and data processing module（3）Input be connected, data processing module（3）Outfan and fault identification module（6）
Input be connected, power distribution network（8）, lock unit（4）Respectively with electric network swim tracing module（5）Input be connected, electricity
Net power flow tracing module（5）Outfan and fault identification module（6）It is connected, electric network swim tracing module（5）, fault identification
Module（6）Outfan with control main website（7）It is connected.
2. distribution network failure section on-line identification system according to claim 1, it is characterised in that the electric network composition is followed the trail of
Module（1）By power grid GIS（101）Composition, power grid GIS（101）For distribution net work structure matrix
Storage, the response of feed connection node opening and closing information and storage.
3. distribution network failure section on-line identification system according to claim 1, it is characterised in that the sub-area division decoupling
Module（2）Including computing module（201）, memory module（202）And information exchange module（203）, information exchange module（203）'s
Input and power grid GIS（101）Outfan be connected, information exchange module（203）Outfan respectively with meter
Calculate module（201）And memory module（202）It is connected, computing module（201）With memory module（202）It is connected.
4. distribution network failure section on-line identification system according to claim 3, it is characterised in that the computing module
（201）The identification of power distribution network isolated area, memory module are realized by treeˉsearch method（202）For power distribution network initiating structure square
Battle array, the storage of priority structure discernibility matrixes, information exchange module（203）Realize and power grid GIS（101）Sum
According to processing module（3）Between data information transfer.
5. distribution network failure section on-line identification system according to claim 3, it is characterised in that the computing module
（201）Realized using the framework of CPU plus ROM, memory module（202）Realized using big capacity hard disk, information exchange module（203）
Realize with wireless mode using duplex communication is wired.
6. distribution network failure section on-line identification system according to claim 3, it is characterised in that the data processing module
（3）Using real-time data base（301）Realize, real-time data base（301）Input and sub-area division decoupling module（2）Information
Interactive module（203）Outfan be connected, real-time data base（301）Outfan and fault identification module（6）It is connected；Institute
State real-time data base（301）For feeder line be subordinate to power distribution network isolated area management and with fault identification module（6）Between data letter
Breath transmission.
7. distribution network failure section on-line identification system according to claim 1, it is characterised in that the lock unit（4）Adopt
Use logical trigger（401）Realize, logical trigger（401）Input and power grid GIS（101）It is connected, patrols
Collect trigger（401）Outfan and electric network swim tracing module（5）It is connected.
8. distribution network failure section on-line identification system according to claim 1, it is characterised in that the electric network swim is followed the trail of
Module（5）Using SCADA system（501）Realize, electric network swim tracing module（5）For the collection of FTU overcurrent information, report to the police
The generation of information collection and the transmission of warning message.
9. distribution network failure section on-line identification system according to claim 1, it is characterised in that the fault identification module
（6）By failure predication module（601）With fault correction module（602）Composition, failure predication module（601）With fault correction module
（601）For realizing the identification of feeder fault section, failure predication module（601）With fault correction module（601）Using PC
Realize.
10. distribution network failure section on-line identification system according to claim 8, it is characterised in that the control main website（7）
Using high-performance computer and based on Windows Visualization Platform realize, control main website（7）By with SCADA system（501）
Interaction carry out the isolation adjusted with fault section of electric current warning reference value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621190394.2U CN206114829U (en) | 2016-11-03 | 2016-11-03 | Join in marriage online identification system of power system fault district section |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621190394.2U CN206114829U (en) | 2016-11-03 | 2016-11-03 | Join in marriage online identification system of power system fault district section |
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| Publication Number | Publication Date |
|---|---|
| CN206114829U true CN206114829U (en) | 2017-04-19 |
Family
ID=58525552
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107808240A (en) * | 2017-10-12 | 2018-03-16 | 广州供电局有限公司 | The computational methods and system of power grid risk scene probability of malfunction |
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2016
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107808240A (en) * | 2017-10-12 | 2018-03-16 | 广州供电局有限公司 | The computational methods and system of power grid risk scene probability of malfunction |
| CN107808240B (en) * | 2017-10-12 | 2020-08-14 | 广州供电局有限公司 | Power grid risk scene fault probability calculation method and system |
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