CN109490715A - A kind of electric power system fault method of discrimination of extreme environment - Google Patents
A kind of electric power system fault method of discrimination of extreme environment Download PDFInfo
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- CN109490715A CN109490715A CN201811588854.0A CN201811588854A CN109490715A CN 109490715 A CN109490715 A CN 109490715A CN 201811588854 A CN201811588854 A CN 201811588854A CN 109490715 A CN109490715 A CN 109490715A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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Abstract
The present invention relates to a kind of electric power system fault method of discrimination of extreme environment, determine it in the probability of malfunction at the moment according to the Meteorological Grade of each extreme environment on fault moment collected every route periphery.Probability of malfunction of the fault moment transmission line of electricity under comprehensive weather is calculated according to probabilistic method；Fault distinguishing analytic modell analytical model is constructed, index is minimized by force device movement degree of distortion function, communication degree of distortion function, fault element quantity, external environment fault signature maximizes the objective function that matching index collectively forms optimization problem.The element movement expectation state in power supply interrupted district is given according to breaker device and the action logic of protection.The constant of simulated annealing is set, the optimization problem model of building is solved using simulated annealing.Accurate fault distinguishing in power supply interrupted district is carried out in the case where extreme environment electric system can occurring serious communication distortion using the method for the present invention, overcomes the not strong problem of previous model fault-tolerance.
Description
Technical field
The present invention relates to the fault distinguishings of electric system under field of power system, especially extreme environment environment.
Background technique
The fault distinguishing carried out after electric system is broken down can accurately identify fault element, and can be with
Warning information is failed to report, reports by mistake and judges, it is subsequent to failures such as the maintenance of the power supply of fast quick-recovery load, faulty line and equipment
Handle important in inhibiting.In recent years, because caused by extreme environment power system transmission line fault trip event take place frequently, show
This factor of ambient weather environment cannot be ignored when analyzing electric power system fault.
The fault distinguishing algorithm of electric system in recent years is studied extensively by educational circles, is had been proposed such as neural network, pattra leaves
The many algorithms such as this network, Petri network, humoral immunity principle, analytic modell analytical model.These methods are had any different in inference mode, but
Study carefully its essence, is all to merge further types of information source and could obtain to be more nearly actual differentiation result.Electric system exists
The failures such as stoppage in transit, ground short circuit easily occur for the extreme environments such as typhoon, thunder and lightning, mountain fire, icing part transmission line of electricity, these poles
It holds the generation area of weather and development path to exist with the device location for actually occurring failure to be relatively associated with by force.It is existing research shows that,
By being analyzed the failure risk degree it can be concluded that route to fault moment external environment data, and this information source is seldom
It is used in fault distinguishing.How to select model appropriate and take into account the corresponding line fault feature of ambient weather environment
It goes, is very valuable study a question to also can be carried out accurate fault distinguishing in the case where communicating Severe distortion.
Summary of the invention
To solve the above problems, the present invention provides a kind of electric power system fault method of discrimination of extreme environment, the present invention
The following technical solution is employed:
(1) when electric system is broken down under extreme environment environment, power supply interrupted district is determined according to the alarm of upload, it is right
Every transmission line of electricity in power supply interrupted district calculates separately probability of malfunction of each extreme environment under different Meteorological Grades；
(2) according to the Meteorological Grade of each extreme environment on fault moment collected every route periphery determine its this when
The probability of malfunction at quarter；
(3) probability of malfunction of the fault moment transmission line of electricity under comprehensive weather is calculated according to probabilistic method；
(4) all elements (including route, transformer, bus), breaker and the protection in power supply interrupted district are numbered,
It is all considered as to suspected fault element, forms failure hypothesis；
(5) fault distinguishing analytic modell analytical model is constructed, by force device movement degree of distortion function, communication degree of distortion function, failure
Number of elements minimizes index, external environment fault signature maximizes the objective function that matching index collectively forms optimization problem；
(6) the element movement expectation state in power supply interrupted district is given according to breaker device and the action logic of protection；
(7) constant of simulated annealing, including initial temperature, minimum temperature, annealing times and temperature suppression ratio are set
Example coefficient etc., the optimization problem model of building is solved using simulated annealing.
Technical solution provided by the invention the utility model has the advantages that
The electric power system fault method of discrimination of extreme environment provided by the invention, uses the solution based on Optimization Solution
Based on analysing model, have mathematical expression logical relation clear, the advantage strong to the interpretability of differentiation result.In addition and outside
After the relevant transmission line malfunction characteristic index of portion's weather environment, it can overcome previous model that catastrophe failure occurs in communication system
When the often not strong disadvantage of fault-tolerance, a large amount of protection information occur in extreme circumstances and fail to report under the even failure scenarios of wrong report
Fault element in power supply interrupted district can accurately be identified and judgeed with communication mistake.
Detailed description of the invention
Attached drawing 1 is the electric power system fault method of discrimination flow chart of extreme environment；
Attached drawing 2 is local power system failure scene schematic diagram.
Specific embodiment
Purpose, technical solution and technical effect for a better understanding of the invention, below in conjunction with 1 couple of present invention of attached drawing into
The further explaining illustration of row.
The invention proposes a kind of electric power system fault method of discrimination of extreme environment, implementing procedure includes following detailed
Thin step:
Step 1 distinguishes every transmission line of electricity in power supply interrupted district according to the historical failure set of factors of every kind of failure weather
The probability of malfunction of every kind of extreme environment is calculated, specific steps include:
(1) by alarm upload power failure alarm carry out power supply interrupted district acquisition, and to the transmission line of electricity in power supply interrupted district into
Line identifier；
(2) line fault probability of each extreme environment under different Meteorological Grades is calculated according to fault history collection:
In formula:Indicate i-th kind of extreme environment in Meteorological Grade xiThe probability of malfunction of lower transmission line of electricity l；For i kind pole
End ring border is in Weather Risk grade xiThe number that lower transmission line of electricity l breaks down is obtained according to historical failure statistics；It is i-th
There is Weather Risk grade x in kind extreme environmentiTotal degree, according to historical failure statistics obtain；N is total weather category number
Amount, weather category are chosen according to the weather condition in power supply interrupted district when physical fault.
Step 2, using the Meteorological Grade of each extreme environment on fault moment collected every route periphery determine its
The probability of malfunction at the moment, specifically includes:
The meteorological data of meteorological department's real-time monitoring on every route periphery is acquired in fault moment, by each extreme environment
The Meteorological Grade criteria for classifying, from line of each extreme environment being calculated before according to fault history collection under different Meteorological Grades
Road probability of malfunction compares, and obtains the probability of malfunction of each at this time route.
Step 3 calculates probability of malfunction of the fault moment transmission line of electricity under comprehensive weather using probabilistic method, specific to wrap
It includes:
Due in power system device failure rate under assessing every kind of natural calamity can it is appropriate meter and associated external factor,
Calculate comprehensive disaster make the lower transmission line malfunction probability of weather when, the various extreme environment shadows that every route can be received
Regard independent events as between loud probability of malfunction.Every route is calculated comprehensive extreme using the probability characteristics of independent event
Probability of malfunction under environment:
In formula: PlIt indicates in n under the collective effect of extreme environment, the resultant fault probability of transmission line of electricity l；Pl,iIt indicates
In the probability of malfunction of i-th kind of extreme environment transmission line of electricity l.
Step 4, according to claim 1 with the electric power system fault method of discrimination of extreme environment as claimed in claim 4,
It is characterized in that all elements (including route, transformer, bus), breaker and the protection in power supply interrupted district are numbered,
It is all considered as to suspected fault element, failure hypothesis is formed, specifically includes:
All elements (including route, transformer, bus), breaker and corresponding protection in power supply interrupted district is compiled
Number, it is assumed that there is n equipment after number in power supply interrupted district, wherein nlRoute, nbA bus, ncbA breaker, nrA relay protection
Equipment.And form failure hypothesis:
H=[D R C]
In formula:
Wherein di=0 or 1 respectively indicates in power supply interrupted district at i-th line road or bus
In normal or malfunction；
Wherein riAfter=0 or 1 respectively indicates i-th of main protection in power supply interrupted district/nearly back-up protection/remote
Standby protection is without movement or has acted；
Wherein ci=0 or 1, which respectively indicates in power supply interrupted district i-th of breaker, is in and does not trip or jumped
Lock state.
Step 5, building fault distinguishing analytic modell analytical model, by force device movement degree of distortion function, communication degree of distortion function, event
Barrier number of elements minimizes index, external environment fault signature maximizes the target letter that matching index collectively forms optimization problem
Number, specific steps include:
Objective function is the sum of force device failure degree, communication three parts of the degree of distortion and fault element quantity.Due to reality
All kinds of number of faults of border fault scenes can not be very much, therefore the minimum value of Optimization Solution demand this objective function, expression formula
It is as follows:
Min E (H)=△ Ee(H)+△Ec(H)+α△F+β△D
In formula:
(1)△Ee(H) degree of distortion function is acted for force device, that reflects the actual act states of breaker and protection
With the difference between desired action state, value shows that more greatly the force device of incorrect operation is more, and expression formula is as follows:
In formula: ri, ciRespectively represent the virtual condition of i-th of protection, breaker；It respectively represents i-th of protection, break
The expectation state of road device, i.e., the rational state judged according to the action logic relationship between element.
(2)△EcIt (H) is communication degree of distortion function, that reflects protection and breaker actual act state and control centres
The difference between action state received, value show that more greatly the mistake occurred in communication process is more, and expression formula is as follows:
In formula: ri, ciRespectively represent the virtual condition of i-th of protection, breaker；Respectively represent i-th of guarantor
Shield, the alarm state of breaker, i.e., the action state of protection or breaker that the alarm that control centre receives is shown.
(3) α △ F is that number of elements minimizes index, and α is this weight coefficient in E (H).This entry value is smaller to be shown
The quantity of fault element is smaller, and expression formula is as follows:
In formula: diThe virtual condition of i-th of element of table (including route, transformer, bus).
(4) β △ D is that external environment fault signature maximizes matching index, and β is this weight coefficient.This entry value is smaller
Show currently to differentiate that route fault condition and the fault signature being calculated by ambient weather environmental data are closer in result,
Expression formula are as follows:
In formula: dlThe virtual condition of i-th of element of table (including route, transformer, bus), PlMeaning is the extreme ring in n
Under the collective effect in border, the resultant fault probability of transmission line of electricity l.
Step 6 gives the element movement expectation state in power supply interrupted district, tool according to breaker device and the action logic of protection
Body includes:
(1) action logic of the main protection of route or bus:
If riFor the main protection of i-th line road or bus, the element of protection is dk, then riExpectation stateDecision logic
If are as follows: dkIt breaks down, then riIt is desired for 1.Its expression formula are as follows:
(2) action logic of the nearly back-up protection of route:
If rjFor the nearly back-up protection on i-th line road, riFor the main protection of corresponding line, the equipment of protection is dk, then rj
Expectation stateDecision logic are as follows: if dkIt breaks down, but riIt is not operating, then rjIt is desired for 1.Its expression formula are as follows:
(3) action logic of the remote back-up protection of route:
If rmFor the remote back-up protection on i-th line road, riFor corresponding lineMain protection, rjFor counter element
Back-up protection, the equipment directly protected be dk, protection scope is interior to remove dkAssociate device collection in addition is combined into D (ri).From ri
To dkBetween then rjExpectation stateDecision logic there are two types of situation: first, if dkIt breaks down, but riAnd rjIt does not move
Make, then rjIt is desired for 1；Second, if D (ri) in have equipment dlFailure, and from rmTo dlBreaker set C (r on pathm,dl)
In breaker cpWhole trippings, then rjIt is desired for 1.Its expression formula are as follows:
(4) action logic of breaker fail protection:
If rk-fFor breaker ckFailure protection, breaker ckMain protection, nearly standby and remote back-up protection be respectively ri,
rj,rm, then rk-fExpectation stateDecision logic are as follows: work as ri,rj,rmIn at least one be 1, i.e., at least one is dynamic
Make, and breaker ckTripping, i.e. rk-fBe desired for 1.Its expression formula are as follows:
(5) action logic of breaker
If can be to breaker ckThe collection for sending all protection structures of trip command is combined into R (ck).Then breaker ckExpectation
Action stateAction logic are as follows:
Step 7 solves the optimization problem model example of building with simulated annealing, the specific steps are as follows:
Initial temperature T is set0=100, minimum temperature Tf=1, the largest loop frequency in sampling k of each temperaturemax=100
Secondary, temperature descent coefficient is d=0.99, is carried out using improved fault distinguishing analytic modell analytical model of the simulated annealing to building excellent
Change and solves.The specific steps are that:
(l) initial temperature T is read in0With minimum temperature Tf, frequency in sampling n at each temperaturemax；
(2) it is randomly generatedOne group of binary system initial value, calculate E
(H) initial value；
(3) cyclic samples number k=1 is enabled；
(4) one group of random perturbation △ H is generated, E (H+ △ H) and △ E=E (H+ △ H)-E (H) is calculated；
(5) if △ E < 0, H are replaced with H+ △ H.If E >=0 △, an equally distributed puppet in [0,1] section is generated
Random number p, if e-△E/T≤ p, then H is replaced with H+ △ H, does not otherwise update H；
(6) k=k+l is enabled；If k < kmax, jump to (4)；
(7) T=T is enabled0* d, if T≤Tf, current failure hypothesis H is exported, is as differentiated as a result, otherwise jumping to (3).
For a further understanding of the present invention, below by taking the partial electric grid failure example of Guangzhou one as an example, to explain this hair
Bright practical application, Guangzhou partial electric grid failure example schematic diagram are as shown in Fig. 2.
Assuming that fault scenes are as follows: route L1 and L3 is because route is longer and is seriously affected generation by typhoon, rainstorm weather
By foreign matter hanging wire short circuit grounding is occurred for permanent three-phase ground short circuit, prosperous hilllock outlet bus；Route L1, L3 two sides main protection is dynamic
Make, breaker C1, C2, C5, C6 tripping；Bus B1 protection act, tripping circuit breaker C4, C7.Companion during failure occurs
With stronger thunder and lightning, the communication of electric system is heavily disturbed, produces a large amount of protection and the leakage of breaker actuation information
Report and wrong report, wherein route L3 is failed to report close to the auspicious precious protection become and route L1 close to the protection information of wide A outlet, breaker
C1, C6 action message are failed to report, the wrong report of breaker C3 action message.
Assuming that it is high risk that the corresponding route resultant fault risk of the extreme environment environment of fault moment, which is L1, L3, L2 is
It is P with corresponding degree of probability compared with low-riskL1=PL3=1, PL2=0.33.Take α=0.1 in objective function, β=2, to power failure
Suspicious element is numbered in region, as shown in table 1.Construct corresponding failure hypothesis, concrete form are as follows:
H=[d1,…d7,r1,…r35,c1,…c8]
The suspicious element of table 1, breaker and to coding to be protected
It is solved, is finally obtained using analytic modell analytical model of the simulated annealing to building: not considering external environment event
When hindering feature, result is differentiated are as follows: bus B2, B3 failure, the protection of bus B3 are failed to report, main protection of the route L1 close to the side B3, line
Main protection of the road L3 close to the side B1 is reported by mistake.This is because failure hypothesis optimal value is searched when not considering β △ D in objective function
Rope can be towards minimizing communication failure and minimizing the direction progress of fault element, so that it does not have motivation to make more communications wrong
It accidentally shows in the result.
When considering external environment fault signature, result is differentiated are as follows: route L1, route L3, bus B1 failure, route L3 are leaned on
The nearly auspicious precious main protection become and route L1 are failed to report close to the main protection information of wide A outlet, the wrong report of breaker C3 action message, C1,
C6 action message is failed to report.This is consistent with the result actually occurred, this is because the calculated external environment fault signature of institute is line
Road L1, L3 are high risk, consider D meetings of β △ so that route L1, L3 are considered as non-faulting element in objective function at this time
As a result it is not easy to be selected.
By the analysis to above-mentioned numerical results, the extreme environment electric power system fault method of discrimination that is proposed by
In introducing line fault information related with ambient weather environment, communication system appearance is largely failed to report, accidentally in extreme circumstances
Giving the correct time also can correctly identify fault element, enhance the fault-tolerance differentiated to communication mistake.
Claims (8)
1. a kind of electric power system fault method of discrimination of extreme environment, main feature are being embodied among following step:
(1) when electric system is broken down under extreme environment environment, power supply interrupted district is determined according to the alarm of upload, to power failure
Every transmission line of electricity in region calculates separately probability of malfunction of each extreme environment under different Meteorological Grades；
(2) determine it at the moment according to the Meteorological Grade of each extreme environment on fault moment collected every route periphery
Probability of malfunction；
(3) probability of malfunction of the fault moment transmission line of electricity under comprehensive weather is calculated according to probabilistic method；
(4) all elements in power supply interrupted district, including route, transformer, bus, breaker and protection are numbered, by it
All it is considered as suspected fault element, forms failure hypothesis；
(5) fault distinguishing analytic modell analytical model is constructed, by force device movement degree of distortion function, communication degree of distortion function, fault element
Quantity minimizes index, external environment fault signature maximizes the objective function that matching index collectively forms optimization problem；
(6) the element movement expectation state in power supply interrupted district is given according to breaker device and the action logic of protection；
(7) constant of simulated annealing, including initial temperature, minimum temperature, annealing times and temperature down ratio system are set
Number, the optimization problem model of building is solved using simulated annealing.
2. the electric power system fault method of discrimination of extreme environment according to claim 1, it is characterised in that: according to every kind
The historical failure set of factors of failure weather calculates separately the event of every kind of extreme environment to every transmission line of electricity in power supply interrupted district
Hinder probability, specific steps include:
(1) the power failure alarm for uploading alarm carries out the acquisition of power supply interrupted district, and marks to the transmission line of electricity in power supply interrupted district
Know；
(2) line fault probability of each extreme environment under different Meteorological Grades is calculated according to fault history collection:
In formula:Indicate i-th kind of extreme environment in Meteorological Grade xiThe probability of malfunction of lower transmission line of electricity l；For the extreme ring of i kind
Border is in Weather Risk grade xiThe number that lower transmission line of electricity l breaks down is obtained according to historical failure statistics；For i-th kind of pole
Occurs Weather Risk grade x under end ring borderiTotal degree, according to historical failure statistics obtain；N is total weather category quantity,
Weather category is chosen according to the weather condition in power supply interrupted district when physical fault.
3. feature exists according to claim 1 with the electric power system fault method of discrimination of extreme environment as claimed in claim 2
In: determine it in the failure at the moment using the Meteorological Grade of each extreme environment on fault moment collected every route periphery
Probability specifically includes:
The meteorological data of meteorological department's real-time monitoring on every route periphery is acquired in fault moment, by the meteorology of each extreme environment
Grading standard, from route event of each extreme environment being calculated before according to fault history collection under different Meteorological Grades
Barrier probability compares, and obtains the probability of malfunction of each at this time route.
4. feature exists according to claim 1 with the electric power system fault method of discrimination of extreme environment as claimed in claim 3
In: probability of malfunction of the fault moment transmission line of electricity under comprehensive weather is calculated using probabilistic method, is specifically included:
Due to the appropriate meter of energy and associated external factor in power system device failure rate under assessing every kind of natural calamity, calculating
Comprehensive disaster make the lower transmission line malfunction probability of weather when, can be by the various extreme environments influence that every route receives
Regard independent events between probability of malfunction as, calculates every route in comprehensive extreme environment using the probability characteristics of independent event
Under probability of malfunction:
In formula: PlIt indicates in n under the collective effect of extreme environment, the resultant fault probability of transmission line of electricity l；Pl,iIt indicates i-th
The probability of malfunction of kind extreme environment transmission line of electricity l.
5. feature exists according to claim 1 with the electric power system fault method of discrimination of extreme environment as claimed in claim 4
It is numbered in all elements in power supply interrupted district, including route, transformer, bus, breaker and protection, it is all considered as
Suspected fault element forms failure hypothesis, specifically includes:
All elements (including route, transformer, bus), breaker and corresponding protection in power supply interrupted district is numbered,
Assuming that have n equipment in power supply interrupted district after number, wherein nlRoute, nbA bus, ncbA breaker, nrA relay protection is set
It is standby, and form failure hypothesis:
H=[D R C]
In formula:
Wherein di=0 or 1, which respectively indicates i-th line road or bus in power supply interrupted district, is in just
Normal or malfunction；
Wherein ri=0 or 1, which respectively indicates i-th of main protection in power supply interrupted district/nearly back-up protection/remote standby, protects
Shield is without movement or has acted；
Wherein ci=0 or 1, which respectively indicates i-th of breaker in power supply interrupted district, is in the shape that do not trip or tripped
State.
6. the electric power system fault with the thunder and lightning extreme environment extreme environment described in claim 5 is sentenced according to claim 1
Other method, it is characterised in that: building fault distinguishing analytic modell analytical model, by force device movement degree of distortion function, communication degree of distortion letter
Number, fault element quantity minimize index, external environment fault signature maximizes the mesh that matching index collectively forms optimization problem
Scalar functions, specific steps include:
Objective function is the sum of force device failure degree, communication three parts of the degree of distortion and fault element quantity, due to practical event
All kinds of number of faults for hindering scene can not be very much, therefore the minimum value of Optimization Solution demand this objective function, expression formula are as follows:
MinE (H)=△ Ee(H)+△Ec(H)+α△F+β△D
In formula:
(1)△Ee(H) degree of distortion function is acted for force device, that reflects the actual act states and phase of breaker and protection
The difference between action state, value is hoped to show that the force device of incorrect operation is more more greatly, expression formula is as follows:
In formula: ri, ciRespectively represent the virtual condition of i-th of protection, breaker；ri *, ci *Respectively represent i-th of protection, open circuit
The expectation state of device, i.e., the rational state judged according to the action logic relationship between element；
(2)△EcIt (H) is communication degree of distortion function, that reflects protection and breaker actual act states and control centre to receive
The difference between action state arrived, value show that more greatly the mistake occurred in communication process is more, and expression formula is as follows:
In formula: ri, ciRespectively represent the virtual condition of i-th of protection, breaker；ri alarm, ci alarmRespectively represent i-th of protection,
The action state of protection or breaker that the alarm that the alarm state of breaker, i.e. control centre receive is shown；
(3) α △ F is that number of elements minimizes index, and α is this weight coefficient in E (H), this entry value is smaller to show failure
The quantity of element is smaller, and expression formula is as follows:
In formula: diThe virtual condition of i-th of element of table (including route, transformer, bus)；
(4) β △ D is that external environment fault signature maximizes matching index, and β is this weight coefficient, this entry value is smaller to be shown
It is current to differentiate that route fault condition and the fault signature being calculated by ambient weather environmental data are closer in result, expression
Formula are as follows:
In formula: dlThe virtual condition of i-th of element of table (including route, transformer, bus), PlMeaning is the extreme environment in n
Under collective effect, the resultant fault probability of transmission line of electricity l.
7. feature exists according to claim 1 with the electric power system fault method of discrimination of the extreme environment described in claim 5
In: the element movement expectation state in power supply interrupted district is given according to breaker device and the action logic of protection, is specifically included:
(1) action logic of the main protection of route or bus:
If riFor the main protection of i-th line road or bus, the element of protection is dk, then riExpectation stateDecision logic are as follows:
If dkIt breaks down, then riIt is desired for 1, expression formula are as follows:
(2) action logic of the nearly back-up protection of route:
If rjFor the nearly back-up protection on i-th line road, riFor the main protection of corresponding line, the equipment of protection is dk, then rjIt is expected that
StateDecision logic are as follows: if dkIt breaks down, but riIt is not operating, then rjIt is desired for 1, expression formula are as follows:
(3) action logic of the remote back-up protection of route:
If rmFor the remote back-up protection on i-th line road, riFor corresponding lineMain protection, rjAfter counter element
Standby protection, the equipment directly protected are dk, protection scope is interior to remove dkAssociate device collection in addition is combined into D (ri)；From riTo dk
Between then rjExpectation stateDecision logic there are two types of situation: first, if dkIt breaks down, but riAnd rjIt is not operating, then
rjIt is desired for 1；Second, if D (ri) in have equipment dlFailure, and from rmTo dlBreaker set C (r on pathm,dl) in it is disconnected
Road device cpWhole trippings, then rjIt is desired for 1, expression formula are as follows:
(4) action logic of breaker fail protection:
If rk-fFor breaker ckFailure protection, breaker ckMain protection, nearly standby and remote back-up protection be respectively ri,rj,
rm, then rk-fExpectation stateDecision logic are as follows: work as ri,rj,rmIn at least one be 1, i.e., at least one act, and
Breaker ckTripping, i.e. rk-fBe desired for 1, expression formula are as follows:
(5) action logic of breaker
If can be to breaker ckThe collection for sending all protection structures of trip command is combined into R (ck), then breaker ckExpectation movement
StateAction logic are as follows:
。
8. according to claim 1, the electric power system fault differentiation side of claim 6 and extreme environment as claimed in claim 7
Method, it is characterised in that: the optimization problem model example of building is solved with simulated annealing, the specific steps are as follows:
Initial temperature T is set0=100, minimum temperature Tf=1, the largest loop frequency in sampling k of each temperaturemax=100 times, temperature
Degree descent coefficient is d=0.99, is optimized and is asked using improved fault distinguishing analytic modell analytical model of the simulated annealing to building
Solution, the specific steps are that:
(l) initial temperature T is read in0With minimum temperature Tf, frequency in sampling n at each temperaturemax；
(2) it is randomly generatedOne group of binary system initial value, calculate E (H)
Initial value；
(3) cyclic samples number k=1 is enabled；
(4) one group of random perturbation △ H is generated, E (H+ △ H) and △ E=E (H+ △ H)-E (H) is calculated；
(5) if △ E<0, H are replaced with H+ △ H, if E>=0 △, an equally distributed pseudorandom in [0,1] section is generated
Number p, if e-△E/T≤ p, then H is replaced with H+ △ H, does not otherwise update H；
(6) k=k+l is enabled；If k < kmax, jump to (4)；
(7) T=T is enabled0* d, if T≤Tf, current failure hypothesis H is exported, is as differentiated as a result, otherwise jumping to (3).
Priority Applications (1)
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