CN102497024A - Intelligent warning system based on integer programming - Google Patents
Intelligent warning system based on integer programming Download PDFInfo
- Publication number
- CN102497024A CN102497024A CN2011104254287A CN201110425428A CN102497024A CN 102497024 A CN102497024 A CN 102497024A CN 2011104254287 A CN2011104254287 A CN 2011104254287A CN 201110425428 A CN201110425428 A CN 201110425428A CN 102497024 A CN102497024 A CN 102497024A
- Authority
- CN
- China
- Prior art keywords
- protection
- malfunction
- tripping
- switch
- fault
- 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.)
- Granted
Links
Images
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to an intelligent warning system based on integer programming. The intelligent warning system adopts a signal acquisition module, a diagnostic startup judgment module, a fault analysis module, a failure report generating module and an analytical result comprehensive display module to warn; the intelligent warning system can be implemented through the following steps of: 1) network modelling, filling primary equipment of a transformer substation and a connected relation of the transformer substation into a database; and generating a structural model meeting IEC (international electrotechnical commission) 61970 standard of an electric system factory station and a system, and then using the model to generate a network device library through a filling library operation; 2) protected information modeling: carrying out protected information modeling according to the hierarchical relationship of the primary equipment, a protective device, protected information and a trip breaker, building an incidence relation between a protection main device, the protected information and a breaker motion, and protecting the main device namely the primary equipment; and 3) carrying out fault diagnosis. The intelligent warning system in the invention can be capable of rapidly and effectively carrying out detailed analysis on a single or complicated failure and protection motion analysis in a failure process.
Description
Technical field
The present invention relates to intelligent intelligent substation warning system.
Background technology
The development that science and technology is maked rapid progress, automation of transformation substations degree is increasingly high, and amount of information is also increasing; The abundant of amount of information certainly will bring very big help to the analysis of data, but this also becomes a double-edged sword, the back side of this double-edged sword; Then be " recklessly spending charming eye ", that is, magnanimity information is to operation operator on duty's vision and psychological impact in the short time; The information that had often before poured in also has enough time to finish watching, and is buried in oblivion by a collection of new signal again between soon, and operations staff on duty is difficult to concentrate on crucial points fast; Be unfavorable for rapid failure judgement, provide correct processing and judge.
Along with the intelligentized propelling of electrical network, the intellectualized technology of transformer station becomes an important ring of intelligent grid technology gradually.The function on the monitoring backstage of transformer station can be divided into " prison " and " control " two big types.And " prison " no longer has been confined to traditional function of directly adopting Various types of data; Should further enlarge the data intelligence analytic function of enhancing in transformer station; Make full use of the Various types of data that transformer station's end is gathered; Carry out intellectual analysis, strengthen the deep processing ability of warning information, and the information interaction between realization and the scheduling station.
Accident analysis based on the original alarm incident of automated system in the station is crucial; And the intelligent warning system of using is at present just done simple screening to alarm event; Filter; Carry out behind the hierarchical classification than the shallow hierarchy accident analysis; Like analysis, can not well satisfy comparatively senior demands such as complex fault differentiation and protection motion analysis based on protection action chain algorithm.Therefore, the accident analysis algorithm that can carry out some preliminary protection action behaviors and the evaluation of switch motion behavior correctness is significant, can the additional related personnel carry out further malfunction elimination.Based on the parser of integer programming, then possibly satisfy this requirement.Supposition variable (the master-failure state that this algorithm is relevant with fault; The protection operate condition; The switch trip state),, calculates the expectation state of protection action and the expectation state of switch trip according to certain protection professional knowledge as input; And compare with the state of reality, a hypothesis that tallies with the actual situation most is just as the result of failure diagnosis.
Can use a Zero-one integer programming model description based on the parser of integer programming, embody the deviation between hypothesis state and the virtual condition, clear concept, but when finding the solution this model iterations along with the scale of problem once index rise.Therefore; Use the traversal search method to find the solution this model and can only be confined to some small-scale problems; After the scale of problem surpasses to a certain degree; Can only rely on some and have suggestive searching algorithm (tabu search algorithm) and come to obtain rapidly a convergence solution, but this convergence solution might not be the best, can only be an optimal solution that satisfies under the quick accident analysis condition.
Parser based on protection action chain is a kind of quick power system fault analysis method, and its core logic collects together for the action event of the same fault zone of section reflection sometime, forms a protection action sequence according to time sequencing; Be referred to as protection action chain, utilize local topology and protection Trip Logic then, the tripping operation coverage rate of each protection action in the analytical sequence; Each action sequence is represented a fault, and so finally obtaining this method of accident analysis result, to have logic simple, realizes the characteristics that are easy to; But also there is the strict time accuracy that relies on action event; Fault-tolerance is short of to some extent, and in addition, the method is to the Analysis of Complex fault; Also lack rigorous theoretical foundation like overstep tripping etc., accuracy is shortcoming to some extent also.
Summary of the invention
The present invention seeks to; Proposition is based on the intelligent alarm method and system of integer programming; Overcome prior art problems, propose the intelligent alarm method and system that a kind of accident analysis to system has had rigorous theoretical foundation, system can adopt the adaptive fault of intelligence to separate searching algorithm; Can adapt to the different problems scale, maximum raising the speed of accident analysis.
Technical scheme of the present invention is: based on the intelligent warning system of integer programming, adopt to comprise signal acquisition module, diagnosis starts judge module, failure analysis module, the overview display module of Trouble Report generation module and analysis result; Wherein failure analysis module comprises action chain Algorithm Analysis module and based on the analysis module of integer programming; The step of alarming is following
1), network modelling; Transforming plant primary equipment and annexation thereof are inserted database, and user power utilization power element makes up factory station or system's line chart, generates the structural model that meets the IEC61970 standard of electric power system factory station and system through this mapping mode; Generate network equipment storehouse with this model through filling out the storehouse operation then; This network equipment storehouse not only is used as network modelling, and in the failure diagnostic process, or the data medium of network topology work;
2), protection information modeling: according to primary equipment; Protective device, protection information, the hierarchical relationship of trip breaker is protected information modeling; Set up the incidence relation between the action of protection main equipment---protection information---circuit breaker, the protection main equipment refers to primary equipment;
3) step of failure diagnosis:
3-1) warning information of substation level collection is carried out the demonstration based on the classification of priority by signal acquisition module; Gather Real-time Alarm message and real-time power network section information;
3-2) scanning external alarm information is sought and is satisfied the signal that starts the failure diagnosis criterion; Diagnosis starts judge module work, and the criterion that starts failure diagnosis is defined as the combination of following two conditions:
A: the appearance of breaker open operation or emergency stop valve trip signal
B: the protection alarm action message that triggers tripping operation
Then satisfy criterion requirement, i.e. criterion E=A ∪ B as long as there is a condition to satisfy in these two conditions;
3-3) find the warning information that meets criterion after, this warning information is labeled as article one information of this fault period alert analysis;
3-4) finish criterion, judge that whether this warning information is this fault period the last item warning information, finishes the combination that criterion is defined as following condition with fault warning according to fault warning:
F: in back a period of time Tdelta takes place this alarm event, do not have new alarm to occur;
G: though in back a period of time Tdelta takes place this alarm event, have new alarm to occur, new alarm event time of origin surpasses certain time difference range Tdura apart from this fault period article one alarm event time of origin;
Wherein time difference Tdelta and time period threshold values Tdura all can be by user definitions, and general, the value of these two threshold values can be carried out in following interval: Tdelta ∈ [10,60], and unit: second, Tdura ∈ [2,10], unit: minute.
As long as there is a condition to satisfy in these two conditions, then judges and satisfy criterion requirement, i.e. criterion H=F ∪ G;
3-5) failure analysis module work; Comprise action chain Algorithm Analysis module and start based on the analysis module of integer programming; Carry out the preliminary treatment of failure diagnosis earlier; Warning information to failure diagnosis information Biao Biaonei filters, and only keeps the protection warning information that can trigger tripping operation, automatics action message and circuit breaker displacement information;
3-6) carry out the failure diagnosis based on integer programming to the warning information incident after filtering, analysis result is sent to the alarm window,
3-7) the overview display module of Trouble Report generation module and analysis result work, the demonstration of fault diagnosis result and the preservation of fault diagnosis report.
Wherein, the workflow based on the analysis module of integer programming is:
1) confirm suspected fault, the malfunction and the tripping state of moving state of the malfunction of protection and certificate and switch, and confirm fault hypothesis phasor H thus;
Described hypothesis vector H=[D, R, B], wherein D={d
0, d
1, d
2... d
M-1Represent the malfunction of each main equipment, 0 expression is normal, 1 expression fault, R={rf
0, rm
0, rf
1, rm
1, rf
2, rm
2... rf
N-1, rm
N-1Represent the malfunction and the tripping state of each protection, rf
iI protection action of=1 expression malfunction, rm
i=1 expression i protection tripping.B={bf
0, bm
0, bf
1, bm
1, bf
2, bm
2... bf
Q-1, bm
Q-1Show the malfunction and the tripping state of each switch, bf
iI switch malfunction of=1 expression, bm
iI switch tripping of=1 expression.
H=[D, R, B] is some relevant variablees of suspected fault zone, confirms that specifically method is following:
1-1) confirming of suspected fault, promptly D's confirms
D like this
kBe S
dIn element E
kMalfunction
1-2) Bao Hu malfunction and confirm that according to moving state promptly R's confirms
The protection here can be defined as: if element E
kRelated main protection has many covers, can with they with or relation be merged into E
kMain protection.Element E
kBackup protection, breaker fail protection, reclosing are also handled according to the method.Rf like this
i, rm
iBe S
rIn protection r
iMalfunction state and tripping state.
1-3) confirming of the malfunction of switch and tripping state, promptly B's confirms
Bf like this
i, bm
iBe S
bIn switch b
iMalfunction state and tripping state.
2) dimension of judging H surpass that convenient search can bear largest, be then adopt the TABU search optimal solution if surpass; Otherwise adopt the traversal search optimal solution.
Beneficial effect of the present invention is:
(1) the present invention can carry out the structure of intelligent warning system based on strict mathematics model and protection professional knowledge principle; The accident analysis of system has had rigorous theoretical foundation; This external system adopts intelligence; Adaptive fault is separated searching algorithm, can adapt to the different problems scale, maximum raising the speed of accident analysis.
(2) intelligent warning system adopts the local topology searching algorithm of intelligence in substation operation, and the mode of connection that can be different according to transformer station produces corresponding tripping operation strategy and carries out the differentiation of fault.Like this, system just can adapt to the various operational modes of transformer station, has suitable versatility.
(3) system adopts intelligent more and comprehensive resultant fault result to show scheme, mainly comprises online and two kinds of exhibition methods of Real-time Alarm based on picture.Like this, the related personnel can check the accident analysis result simpler and easy and intuitively, is convenient to the historical statistics and the analysis of fault.
In a word, the present invention can adapt to the different problems scale, maximum raising the speed of accident analysis.System is for better displaying accident analysis result, and system adopts intelligent more and comprehensive resultant fault result to show scheme, mainly comprises online and two kinds of exhibition methods of Real-time Alarm based on picture.The present invention can effectively carry out the protection motion analysis in labor and the failure process to single or complex fault fast.
Description of drawings
Fig. 1 is the entire system structure chart;
Fig. 2 is the whole information flow chart of signal acquisition module;
Fig. 3 is the accident analysis algorithm basic flow sheet based on integer programming;
Fig. 4 is based on the runnable interface figure of the intelligent warning system of integer programming;
Fig. 5 is the fault bulletin figure after the intelligent warning system accident analysis.
Embodiment
The entire system structure chart is as shown in Figure 1, mainly is divided into signals collecting, and diagnosis starts to be judged, accident analysis, and Trouble Report generates, modules such as the overview display of analysis result; Fast the trouble analysis system nucleus module is based on the accident analysis logic of algorithm of the same race not.Fast trouble analysis system can be in conjunction with the feature of problem, and scale comes switching manual or that carry out various analysis modules automatically to provide optimum accident analysis result.Here failure analysis module is: based on the analysis module of integer programming.
1. signal acquisition module
The data of organizing have been only data." at transformer station end,, the warning information of substation level collection is carried out the demonstration based on the classification of priority through man-machine interface.Without artificial treatment, the warning information with the current period shows and points out the user to occur which other warning information of level at present disaggregatedly in real time, needs at present to handle those alarms earlier, comes into plain view.
The collection of real time data is divided into two types: Real-time Alarm event message, real-time power network section information; Consider the difference (the interface difference that native system data source and third party scada/EMS data source cause) of data source simultaneously, satisfy real-time data acquisition demand from the different types of data in different pieces of information source.Go into the filterEvent table of database in warning message information after, also need to these data screen (screen out non-protection switch action event, screen out excessive signal of the time difference), ordering chronologically like the SOE alarm that took place before a day, etc. preliminary treatment work.
The Real-time Alarm information table of scada ALM information bank, like eventLog, SOELog, the warning information event table of third party system (protection waits secondary device action message, switch motion information); Satisfy the criterion that the relevant warning information of startup/end fault is gathered; The setting in message image data source, the setting in section image data source in real time;
(1) the mutual need that carry out the collection of Real-time Alarm incident from native system and third party system satisfy the real-time needs;
(2) acquisition phase of alarm event, should be as far as possible filter alarm information and shielding under source side (SCADA side and third party's system side) can be with test/maintenance/situation such as preposition simulation, avoid the erroneous judgement of subsequent analysis.
(3) to starting and the criterion setting of end data collection should have the restriction of zone of reasonableness.
The whole information flow of signal acquisition module is as shown in Figure 2, mainly comprises two functions based on the signal acquisition module of the intelligent warning system of integer programming: with intelligent alarm analysis module alternative events information and with intelligent alarm analysis module interactive real time section information.
Signal acquisition module based on the intelligent warning system of integer programming; Its event information source can be the incident of PCS9700 scada system acquisition; Also can be the incident of PCS9000 scada system acquisition, and can be third party's DSN, like D5000 system etc.; Intelligent warning system based on integer just can move on kinds of platform like this; Three types data source is delivered to the Real-time Alarm information source table of intelligent warning system, after the alarm event preliminary treatment at last via different transmission paths by the unified data interface; Put in the rapid failure diagnosis information table of intelligent warning system, supply follow-up accident analysis used based on integer programming.
Signal acquisition module based on the intelligent warning system of integer programming; The section source can be the real-time section of PCS9700s system acquisition in the time of in fact; Also can be the real-time section of PCS9000 system acquisition; And can be the real-time profile data source of third party system, like D5000 system etc., the intelligent warning system based on integer just can move on kinds of platform like this; Three types data source is delivered to via different data access interfaces in the profile data storehouse of intelligent warning system, supplies the follow-up accident analysis based on integer programming used.
2. diagnosis starts module
The startup of failure diagnosis is mainly by following two kinds of signal triggering:
1 switch motion,
2 protection actions;
3. based on the analysis module of integer programming
Accident analysis algorithm basic procedure such as Fig. 3 based on integer programming:
Hypothesis vector H=[D, R, B],, D={d wherein
0, d
1, d
2... d
M-1Represent the malfunction of each main equipment, 0 expression is normal, 1 expression fault, R={rf
0, rm
0, rf
1, rm
1, rf
2, rm
2... rf
N-1, rm
N-1Represent the malfunction and the tripping state of each protection, rf
iI protection action of=1 expression malfunction, rm
i=1 expression i protection tripping.B={bf
0, bm
0, bf
1, bm
1, bf
2, bm
2... bf
Q-1, bm
Q-1Show the malfunction and the tripping state of each switch, bf
iI switch malfunction of=1 expression, bm
iI switch tripping of=1 expression.
H=[D, R, B] is some relevant variablees of suspected fault zone, confirms that specifically method is following:
3.1D confirm
D like this
kBe S
dIn element E
kMalfunction
3.2R confirm
The protection here can be defined as: if element E
kRelated main protection has many covers, can with they with or relation be merged into E
kMain protection.Element E
kBackup protection, breaker fail protection, reclosing are also handled according to the method.Rf like this
i, rm
iBe S
rIn protection r
iMalfunction state and tripping state.
3.3B confirm
Bf like this
i, bm
iBe S
bIn switch b
iMalfunction state and tripping state.
3.4 target function
What target function was described is the expectation state that is drawn by hypothesis vector H=[D, R, E]
With virtual condition [R
r, B
r] between difference, specific as follows:
W wherein
1Can be set to 100, w
2Can be set to 1.The essence of malfunction analysis procedure is exactly to search for the optimum hypothesis vector H of Δ (H) value like this.
representes to move under its protection actual conditions, and
representes to move under its switch actual conditions.
representes to move under its protection expectation situation, and
representes to move under its switch expectation situation.
3.5 be not counted in the expectation state of protection and switch tripping and malfunction
A (r
i) for protecting r
iExpectation state under the situation that is not counted in tripping and malfunction, A (b
i) be switch b
iExpectation state under the situation that is not counted in tripping and malfunction.
3.5.1 main protection
A(r
i)＝d
k
d
kBe r
iThe master status of being protected
3.5.2 backup protection
d
kBe r
iThe state of all main equipments that the main equipment topology of being protected is associated, i
0, i
1... i
P-1, p altogether.What the symbol here " V " was represented is " or " computing, also be like this in the hereinafter.
3.5.3 breaker fail protection
3.5.4 reclosing
Be that all can tripping switch b
jThe expectation state of route protection (have start reclosing function), i
0, i
1... i
Y-1, y altogether.
3.5.5 switch
Be that all can tripping switch b
jThe expectation state of protection (not being reclosing), i
0, i
1... i
Z-1, z altogether.
3.6 count the expectation state of protection and switch tripping and malfunction
3.6.1 protection and reclosing
3.6.2 switch
3.6.3 the hypothesis of contradiction
Rm
i=rf
i=1 or bm
i=bf
i=1
A (r
i)=0 and rm
i=1, or A (b
i)=0 and bm
i=1
A (r
i)=1 and rf
i=1, or A (b
i)=1 and bf
i=1
Satisfying the hypothesis of one of above condition, is the hypothesis of contradiction, does not carry out the calculating of target function value, directly gets rid of.In the time of the program actual motion, will get rid of, not carry out the calculating of target function, to improve process analysis efficient in the hypothesis that counts protection and switch tripping and malfunction expectation state.
3.7 the search of optimum hypothesis
3.7.1 the coding of hypothesis vector
Hypothesis vector H=[D, R, B]=[d
0, d
1, d
2... d
M-1
rf
0，rm
0，rf
1，rm
1，rf
2，rm
2...rf
n-1，rm
n-1。
bf
0，bm
0，bf
1，bm
1，bf
2，bm
2...bf
q-1，bm
q-1]
Can use the binary number representation of a m+2n+2q position, hypothesis vector H has 2 like this
M+2n+2qThe situation of kind, 2
M+2n+2qThe dimension of just representing the hypothesis phasor.
3.7.2 the traversal search of optimum hypothesis
If use traversal search to seek optimum H, searching times is 2 like this
M+2n+2q, along with the scale of problem is the index rising.Therefore, traversal search can only be confined to a small-scale problem.
3.7.3 the TABU search of optimum hypothesis
When m+2n+2q is big, use traversal search, computing time will be very long, lost the meaning of rapid analysis.Therefore, need a quicker and intelligent searching algorithm to search for optimal solution.TABU search is exactly an algorithm that satisfies above condition.
TABU search (Tabu Search or Taboo Search are called for short TS), it is a kind of expansion to the search of local field, is progressively optimizing algorithm of a kind of overall situation, is a kind of simulation to human mind's process.The TS algorithm through introduce one flexibly storage organization avoid circuitous search with corresponding taboo criterion, and absolve the good state that some are avoided, and then guarantee that diversified effective exploration is with final realization global optimization through despising criterion.
For the target function of this paper, an approximately continuous function does not have too high-frequency shake in fact, therefore utilizes tabu search algorithm to carry out the search of optimum hypothesis vector H, has suitable rapidity and accuracy
3.7.4 some notions of TABU search
Move: moving is to refer to the hypothesis vector is carried out the once operation of position, and specifically comprise two kinds: unit moves and exchange mobile.Unit moves a certain position to the hypothesis vector that is meant and carries out negate, and certain two exchange that are worth to the hypothesis vector that are meant are moved in exchange.These two kinds move all be satisfy symmetric.
Neighborhood: the neighborhood here is the notion of a narrow sense, concrete be exactly to the hypothesis vector carry out all units move with pin change move the set of the vector that draws.Be used for as candidate solution.
Taboo table: the taboo table has comprised some and has moved, and these move can be so that currently separate deterioration.
Emission levels: when certain moves and satisfies such condition in the taboo table: after acting on current separating, can be superior to optimal solution in the past, just thinking that this moves satisfies emission levels.
The size of taboo table: the size of taboo table can be confirmed as
The taboo frequency: the maximum taboo frequency can be confirmed as
Worsen number of times: worsen number of times and can confirm as
Largest: the maximum figure place of hypothesis vector in this paper can be 22, like this N
ClmMAX:
Maximum iteration time:
N is the problem that traversal search can be found the solution in real time
The maximum of dimension
3.7.5 the flow process of TABU search
Its basic procedure is:
1. generation initial solution, iterations is set to k, worsens number of times k
Warse, current optimal is separated and is set to H
Best:
2. if k>=KMAX or k
Warse>=KMAX, then exporting l is optimal solution, EP (end of program).Otherwise changed for the 3rd step over to.
3. iterations is set to k=1.With the clauses and subclauses deletion that surpasses maximum taboo frequency KMAX in the taboo table, the taboo frequency of remaining clauses and subclauses increases by 1 time, if taboo table length surpass S ' will show in top unnecessary clauses and subclauses delete.Each element of right neighborhood carries out the calculating of target function and sorts according to the size of value obtaining candidate solution sequence
4. if be superior to 1; Then with
k '=0; Changed for the 2nd step over to, otherwise changed for the 5th step over to.
5.k
warse＝k
wars。If moving not in the taboo table or in the taboo table of producing but reached emission levels; Then with current separate be changed to
and will produce mobilely join in the taboo table and changed for the 2nd step over to, otherwise investigate
successively
4. Trouble Report generation module
System should after accident roughly in 2 minutes, provide far, and report content should comprise at least:
● time of failure;
● faulty equipment;
● the protection action message;
● the automatic safety device action message;
● switch motion information;
● the tripping switch;
● nature of trouble is judged: transient fault or permanent fault.
● fault is separate;
● the protection exception behavior evaluation
5. the overview display module of analysis result
The picture of man-machine interface online with Real-time Alarm in the reply fault message carry out overview display, show that content comprises:
● the labor content of the last fault of overview display.Comprise:
● the particular content of position of failure point, fault point analysis result: time of failure, faulty equipment, nature of trouble; Concrete rapid analysis process, protection action message, automatic safety device action message, switch motion information, malfunction switch, tripping switch, etc.;
● protection action behavior check results: tripping protective device, malfunction protective device actuating signal;
● protection action message and switch motion information:
● can obtain the data source information of correlation analysis through the associative operation menu item of analysis result;
● the alarm window should provide simple accident analysis message information as a result; And call the function of the impression window of concrete fault diagnosis report through this message information.
Set up model:
1, network modelling is inserted database with primary equipment and annexation thereof.This work domestic very ripe artwork storehouse integrated technique capable of using, in conjunction with pel, graphics edition instrument, storehouse two steps operation can be accomplished through drawing, filling out.Force device generates through the pel editing machine earlier, then, and in the graphics edition instrument; User power utilization power element makes up factory station or system's line chart, generates electric power system factory station and system structure model through this mapping mode, meets the IEC61970 standard; Generate network equipment storehouse with this model through filling out the storehouse operation then; This network equipment storehouse as network modelling, in the failure diagnostic process below, also will be the data medium of network topology work not only.So far, satisfy the primary equipment network modelling work completion that this method requires.
2, protection information modeling: according to primary equipment; Protective device, protection information, the hierarchical relationship of trip breaker is protected information modeling; Set up the incidence relation between the action of protection main equipment---protection information---circuit breaker, the protection main equipment refers to primary equipment.
The step of failure diagnosis
The 1st step: scanning external signal information, seek and satisfy the signal that starts the failure diagnosis criterion.The criterion that we will start failure diagnosis is defined as the combination of following two conditions:
A: the appearance of breaker open operation or emergency stop valve trip signal
B: the protection alarm action message that triggers tripping operation
Then satisfy criterion requirement, i.e. criterion E=A ∪ B as long as there is a condition to satisfy in these two conditions;
The 2nd step: after finding the warning information that meets criterion, this warning information is labeled as article one information of this fault period alert analysis;
The 3rd step: finish criterion according to fault warning, judge whether this warning information is this fault period the last item warning information, and we finish the combination that criterion is defined as following condition with fault warning:
F: in back a period of time Tdelta takes place this alarm event, do not have new alarm to occur;
G: though in back a period of time Tdelta takes place this alarm event, have new alarm to occur, new alarm event time of origin surpasses certain time difference range Tdura apart from this fault period article one alarm event time of origin.
Wherein time difference Tdelta and time period threshold values Tdura all can be by user definitions, and general, the value of these two threshold values can be carried out in following interval: Tdelta ∈ [10,60], and unit: second, Tdura ∈ [2,10], unit: minute.
As long as there is a condition to satisfy in these two conditions, then judges and satisfy criterion requirement, i.e. criterion H=F ∪ G.
The 4th step got into the pretreatment stage of failure diagnosis, and the warning information of failure diagnosis information Biao Biaonei is filtered, and only kept the protection warning information that can trigger tripping operation, automatics action message and circuit breaker displacement information;
The 5th step: the warning information incident to after filtering is carried out the failure diagnosis based on integer programming, and analysis result is sent to the alarm window, and is as shown in Figure 4;
The 6th step: the demonstration of fault diagnosis result and the preservation of fault diagnosis report, as shown in Figure 5.
Claims (3)
1. based on the intelligent warning system of integer programming, it is characterized in that: adopt to comprise signal acquisition module, diagnosis starts judge module, failure analysis module, and the overview display module of Trouble Report generation module and analysis result is alarmed; Wherein failure analysis module comprises action chain Algorithm Analysis module and based on the analysis module of integer programming; The step of alarming is following,
1) network modelling is inserted database with transforming plant primary equipment and annexation thereof; Generate the structural model that meets the IEC61970 standard of electric power system factory station and system; Generate network equipment storehouse with this model through filling out the storehouse operation then; This network equipment storehouse not only is used as network modelling, and in the failure diagnostic process, or the data medium of network topology work;
2) protection information modeling: according to primary equipment; Protective device, protection information, the hierarchical relationship of trip breaker is protected information modeling; Set up the incidence relation between the action of protection main equipment---protection information---circuit breaker, the protection main equipment refers to primary equipment;
3) step of failure diagnosis:
3-1) warning information of substation level collection is carried out the demonstration based on the classification of priority by signal acquisition module; Gather Real-time Alarm message and real-time power network section information;
3-2) scanning external alarm information is sought and is satisfied the signal that starts the failure diagnosis criterion; Diagnosis starts judge module work, and the criterion that starts failure diagnosis is defined as the combination of following two conditions:
A: the appearance of breaker open operation or emergency stop valve trip signal
B: the protection alarm action message that triggers tripping operation
Then satisfy criterion requirement, i.e. criterion E=A ∪ B as long as there is a condition to satisfy in these two conditions;
3-3) find the warning information that meets criterion after, this warning information is labeled as article one information of this fault period alert analysis;
3-4) finish criterion, judge that whether this warning information is this fault period the last item warning information, finishes the combination that criterion is defined as following condition with fault warning according to fault warning:
F: in back a period of time Tdelta takes place this alarm event, do not have new alarm to occur;
G: though in back a period of time Tdelta takes place this alarm event, have new alarm to occur, new alarm event time of origin surpasses certain time difference range Tdura apart from this fault period article one alarm event time of origin;
Wherein time difference Tdelta and time period threshold values Tdura all can be by user definitions, and general, the value of these two threshold values can be carried out in following interval: Tdelta ∈ [10,60], and unit: second, Tdura ∈ [2,10], unit: minute.
As long as there is a condition to satisfy in these two conditions, then judges and satisfy criterion requirement, i.e. criterion H=F ∪ G;
3-5) failure analysis module work; Comprise action chain Algorithm Analysis module and start based on the analysis module of integer programming; Carry out the preliminary treatment of failure diagnosis earlier; Warning information to failure diagnosis information Biao Biaonei filters, and only keeps the protection warning information that can trigger tripping operation, automatics action message and circuit breaker displacement information;
3-6) carry out the failure diagnosis based on integer programming to the warning information incident after filtering, analysis result is sent to the alarm window,
3-7) the overview display module of Trouble Report generation module and analysis result work, the demonstration of fault diagnosis result and the preservation of fault diagnosis report.
2. the intelligent warning system based on integer programming according to claim 1 is characterized in that based on the workflow of the analysis module of integer programming being:
1) confirm suspected fault, the malfunction and the tripping state of moving state of the malfunction of protection and certificate and switch, and confirm fault hypothesis phasor H thus;
Described hypothesis vector H=[D, R, B], wherein D={d
0, d
1, d
2... d
M-1Represent the malfunction of each main equipment, 0 expression is normal, 1 expression fault, R={rf
0, rm
0, rf
1, rm
1, rf
2, rm
2... rf
N-1, rm
N-1Represent the malfunction and the tripping state of each protection, r
iI protection action of=1 expression malfunction, rm
i=1 expression i protection tripping.B={bf
0, bm
0, bf
1, bm
1, bf
2, bm
2... bf
Q-1, bm
Q-1Show the malfunction and the tripping state of each switch, bf
iI switch malfunction of=1 expression, bm
iI switch tripping of=1 expression;
H=[D, R, B] is some relevant variablees of suspected fault zone, confirms that specifically method is following:
1-1) confirming of suspected fault, promptly D's is definite,
D like this
kBe S
dIn element E
kMalfunction;
1-2) confirming of the malfunction of protection and the moving state of certificate, promptly R's is definite,
The protection here can be defined as: if element E
kRelated main protection has many covers, with they with or relation be merged into E
kMain protection; Element E
kBackup protection, breaker fail protection, reclosing are also handled according to the method; Rf like this
i, rm
iBe S
rIn protection r
iMalfunction state and tripping state;
1-3) confirming of the malfunction of switch and tripping state, promptly B's confirms;
Bf like this
i, bm
iBe S
bIn switch b
iMalfunction state and tripping state.
3. the intelligent warning system based on integer programming according to claim 1 is characterized in that 2) what set up target function and the description of calculation expectation value target function is the expectation state that is drawn by hypothesis vector H=[D, R, B]
With virtual condition [R
r, B
r] between difference, specific as follows:
W wherein
1Can be set to 100, w
2Can be set to 1, the essence of malfunction analysis procedure is exactly to search for the optimum hypothesis vector H of Δ (H) value like this,
Represent to move under its protection actual conditions,
Represent to move under its switch actual conditions.
representes to move under its protection expectation situation, and
representes to move under its switch expectation situation;
2-1) be not counted in the protection and the expectation state of switch tripping and malfunction
A (r
i) for protecting r
iExpectation state under the situation that is not counted in tripping and malfunction, A (b
i) be switch b
iExpectation state under the situation that is not counted in tripping and malfunction.
2-1-1) main protection
A(r
i)＝d
k
d
kBe r
iThe master status of being protected
2-1-2) backup protection
d
kBe r
iThe state of all main equipments that the main equipment topology of being protected is associated, i
0, i
1... i
P-1, p altogether.What the symbol here " V " was represented is " or " computing, also be like this in the hereinafter.
2-1-3) breaker fail protection
Be that all can tripping switch b
jThe expectation state of protection, i
0, i
1... i
X-1, x altogether, the symbol here " " expression be " with " computing, also be like this in the hereinafter.
2-1-4) reclosing
2-1-5) switch
2-2) count the protection and the expectation state of switch tripping and malfunction
2-2-1) protection and reclosing
2-2-2) switch
2-2-3) the hypothesis of contradiction
Rm
i=rf
i=1 or bm
i=bf
i=1
A (r
i)=0 and rm
i=1, or A (b
i)=0 and bm
i=1
A (r
i)=1 and rf
i=1, or A (b
i)=1 and bf
i=1
Satisfying the hypothesis of one of above condition, is the hypothesis of contradiction, does not carry out the calculating of target function value, directly gets rid of.
2) dimension of judging H surpass that convenient search can bear largest, be then adopt the TABU search optimal solution if surpass; Otherwise adopt the traversal search optimal solution.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110425428.7A CN102497024B (en) | 2011-12-16 | 2011-12-16 | Intelligent warning system based on integer programming |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110425428.7A CN102497024B (en) | 2011-12-16 | 2011-12-16 | Intelligent warning system based on integer programming |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102497024A true CN102497024A (en) | 2012-06-13 |
| CN102497024B CN102497024B (en) | 2014-01-29 |
Family
ID=46188822
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110425428.7A Active CN102497024B (en) | 2011-12-16 | 2011-12-16 | Intelligent warning system based on integer programming |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102497024B (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102967780A (en) * | 2012-11-21 | 2013-03-13 | 国电南瑞科技股份有限公司 | Modeling method for substation intelligent alarm |
| CN103020713A (en) * | 2012-11-19 | 2013-04-03 | 山东大学 | Intelligent substation fault diagnosis method combining topology and relay protection logic |
| CN103197168A (en) * | 2013-02-21 | 2013-07-10 | 华东电网有限公司 | Fault diagnosis control method in power system based on event set causal chain |
| CN103208049A (en) * | 2013-04-25 | 2013-07-17 | 国家电网公司 | Quick accident analysis method and system for abnormal alarm |
| CN103281410A (en) * | 2013-06-14 | 2013-09-04 | 江苏省广电有线信息网络股份有限公司南京分公司 | Broadcast television network intelligent obstacle pretreatment method and system |
| CN104316801A (en) * | 2014-10-31 | 2015-01-28 | 国家电网公司 | Power system fault diagnosis method based on time sequence similarity matching |
| WO2015043441A1 (en) * | 2013-09-24 | 2015-04-02 | 许继集团有限公司 | Smart alarm inference method based on multi-scenario analysis |
| CN103324128B (en) * | 2013-05-30 | 2015-07-01 | 国家电网公司 | Primary equipment fault warning comprehensive compression method in power dispatching automation system |
| CN105678337A (en) * | 2016-01-12 | 2016-06-15 | 国网技术学院 | Information fusion method in intelligent transformer station fault diagnosis |
| CN105700506A (en) * | 2016-04-29 | 2016-06-22 | 南京信息职业技术学院 | Remote transformer substation temperature and humidity control system |
| CN106911492A (en) * | 2015-12-23 | 2017-06-30 | 北京谊安医疗系统股份有限公司 | A kind of Anesthesia machine warning message detection and display methods |
| CN107658980A (en) * | 2017-09-29 | 2018-02-02 | 国网浙江省电力公司 | A kind of analysis method and system for being used to check power system monitor warning information |
| CN108269200A (en) * | 2017-12-29 | 2018-07-10 | 深圳市科陆电子科技股份有限公司 | A kind of alarm event processing method and system based on state machine Controlling model |
| CN109450085A (en) * | 2018-10-24 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of unit exception alarm signal processing system integrated with control based on scheduling |
| CN110569989A (en) * | 2019-07-29 | 2019-12-13 | 云南电网有限责任公司昆明供电局 | Power grid metering fault real-time diagnosis and early warning method based on typical fault pool |
| CN111564904A (en) * | 2020-05-28 | 2020-08-21 | 海南电网有限责任公司信息通信分公司 | Automatic operation and maintenance intelligent alarm system and method |
| CN112800638A (en) * | 2021-04-12 | 2021-05-14 | 广东工业大学 | Intelligent substation simulation test method, device, terminal and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101316051A (en) * | 2008-07-03 | 2008-12-03 | 绍兴电力局 | Internetwork communication log analysis system and method based on IEC61850 transforming plant automatization system |
| CN102035260A (en) * | 2010-12-17 | 2011-04-27 | 国电南瑞科技股份有限公司 | Intelligent warning and fault analysis realizing method for intelligent transformer substation monitoring system |
-
2011
- 2011-12-16 CN CN201110425428.7A patent/CN102497024B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101316051A (en) * | 2008-07-03 | 2008-12-03 | 绍兴电力局 | Internetwork communication log analysis system and method based on IEC61850 transforming plant automatization system |
| CN102035260A (en) * | 2010-12-17 | 2011-04-27 | 国电南瑞科技股份有限公司 | Intelligent warning and fault analysis realizing method for intelligent transformer substation monitoring system |
Non-Patent Citations (2)
| Title |
|---|
| 刘伟等: "智能变电站智能告警与辅助决策的实现", 《电力系统保护与控制》 * |
| 姬书军等: "变电站智能告警专家系统研究", 《华东电力》 * |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020713A (en) * | 2012-11-19 | 2013-04-03 | 山东大学 | Intelligent substation fault diagnosis method combining topology and relay protection logic |
| CN102967780A (en) * | 2012-11-21 | 2013-03-13 | 国电南瑞科技股份有限公司 | Modeling method for substation intelligent alarm |
| CN102967780B (en) * | 2012-11-21 | 2015-04-08 | 国电南瑞科技股份有限公司 | Modeling method for substation intelligent alarm |
| CN103197168B (en) * | 2013-02-21 | 2015-08-12 | 华东电网有限公司 | Realize the method for fault diagnosis control based on the event set chain of causation in electric system |
| CN103197168A (en) * | 2013-02-21 | 2013-07-10 | 华东电网有限公司 | Fault diagnosis control method in power system based on event set causal chain |
| CN103208049A (en) * | 2013-04-25 | 2013-07-17 | 国家电网公司 | Quick accident analysis method and system for abnormal alarm |
| CN103208049B (en) * | 2013-04-25 | 2016-10-05 | 国家电网公司 | Abnormality alarming quick accident analysis method and system |
| CN103324128B (en) * | 2013-05-30 | 2015-07-01 | 国家电网公司 | Primary equipment fault warning comprehensive compression method in power dispatching automation system |
| CN103281410A (en) * | 2013-06-14 | 2013-09-04 | 江苏省广电有线信息网络股份有限公司南京分公司 | Broadcast television network intelligent obstacle pretreatment method and system |
| WO2015043441A1 (en) * | 2013-09-24 | 2015-04-02 | 许继集团有限公司 | Smart alarm inference method based on multi-scenario analysis |
| CN104316801A (en) * | 2014-10-31 | 2015-01-28 | 国家电网公司 | Power system fault diagnosis method based on time sequence similarity matching |
| CN106911492A (en) * | 2015-12-23 | 2017-06-30 | 北京谊安医疗系统股份有限公司 | A kind of Anesthesia machine warning message detection and display methods |
| CN105678337B (en) * | 2016-01-12 | 2020-02-04 | 国网技术学院 | Information fusion method in intelligent substation fault diagnosis |
| CN105678337A (en) * | 2016-01-12 | 2016-06-15 | 国网技术学院 | Information fusion method in intelligent transformer station fault diagnosis |
| CN105700506A (en) * | 2016-04-29 | 2016-06-22 | 南京信息职业技术学院 | Remote transformer substation temperature and humidity control system |
| CN107658980A (en) * | 2017-09-29 | 2018-02-02 | 国网浙江省电力公司 | A kind of analysis method and system for being used to check power system monitor warning information |
| CN107658980B (en) * | 2017-09-29 | 2020-12-18 | 国网浙江省电力公司 | Analysis method and system for rechecking power grid monitoring alarm information |
| CN108269200A (en) * | 2017-12-29 | 2018-07-10 | 深圳市科陆电子科技股份有限公司 | A kind of alarm event processing method and system based on state machine Controlling model |
| CN109450085A (en) * | 2018-10-24 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of unit exception alarm signal processing system integrated with control based on scheduling |
| CN109450085B (en) * | 2018-10-24 | 2022-06-07 | 云南电网有限责任公司电力科学研究院 | Equipment abnormity alarm signal processing system based on scheduling and control integration |
| CN110569989A (en) * | 2019-07-29 | 2019-12-13 | 云南电网有限责任公司昆明供电局 | Power grid metering fault real-time diagnosis and early warning method based on typical fault pool |
| CN111564904A (en) * | 2020-05-28 | 2020-08-21 | 海南电网有限责任公司信息通信分公司 | Automatic operation and maintenance intelligent alarm system and method |
| CN111564904B (en) * | 2020-05-28 | 2023-09-01 | 海南电网有限责任公司信息通信分公司 | Automatic operation and maintenance intelligent alarm system and method |
| CN112800638A (en) * | 2021-04-12 | 2021-05-14 | 广东工业大学 | Intelligent substation simulation test method, device, terminal and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102497024B (en) | 2014-01-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102497024A (en) | Intelligent warning system based on integer programming | |
| CN103001328B (en) | Fault diagnosis and assessment method of intelligent substation | |
| CN102035202B (en) | Network reconfiguration system | |
| CN102142716B (en) | Power grid online fault diagnosis method based on three-state data multidimensional cooperative processing | |
| CN103336222B (en) | Power system fault diagnosis method based on fuzzy reasoning pulse neurolemma system | |
| CN101989766B (en) | Method for diagnosing faults of power system on the basis of protecting action chain | |
| CN106655522A (en) | Master station system suitable for operation and maintenance management of secondary equipment of power grid | |
| CN106124935A (en) | Middle and low voltage network Fault Locating Method | |
| CN101551440A (en) | Generator transformer unit faults recorder analysis device | |
| CN102508076A (en) | Fault diagnosis device and method based on multi-agent system and wavelet analysis | |
| CN110348690B (en) | Tree search based result query menu grid accident auxiliary decision making system and method | |
| CN105974232B (en) | A kind of electric network failure diagnosis method suitable for grid | |
| CN105958644A (en) | Pressing plate information management system for intelligent transformer station | |
| CN107644304A (en) | A kind of intelligent substation secondary network equipment data holographic analysis shows method | |
| CN107947367A (en) | One kind protection equipment on-line monitoring and intelligent diagnosis system | |
| CN110674282A (en) | Expert knowledge rule base-based one-key sequential control operation order intelligent simulation method | |
| CN109001596A (en) | A kind of electric network failure diagnosis and transmission line parameter identification system | |
| CN104459378A (en) | Fault diagnosis method for intelligent substation | |
| CN103227450A (en) | On-line failure recovery method and system | |
| CN109061391A (en) | A kind of electric network failure diagnosis method and system based on computer vision tidal current chart | |
| CN113657348A (en) | Intelligent analysis method and system for operation violation behaviors of transformer substation | |
| CN113850017A (en) | System-level fault analysis system and method based on power flow change map | |
| CN202320412U (en) | Alarm display system of subway operation electromechanical equipment based on virtual reality | |
| CN109633381A (en) | A kind of electric network failure diagnosis intelligent analysis method | |
| CN114626440A (en) | Monitoring signal objectification analysis method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |