CN106372812A - Voltage sag risk assessment method and system - Google Patents

Voltage sag risk assessment method and system Download PDF

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CN106372812A
CN106372812A CN201610846965.1A CN201610846965A CN106372812A CN 106372812 A CN106372812 A CN 106372812A CN 201610846965 A CN201610846965 A CN 201610846965A CN 106372812 A CN106372812 A CN 106372812A
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fault
exposed areas
voltage
risk
voltage dip
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廖辰川
彭显刚
黄伟
焦夏男
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Guangdong University of Technology
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Abstract

The present invention discloses a voltage sag risk assessment method. The method includes the following steps that: simulation and function fitting are performed on a line fault, so that an objective function, a sag region and the critical position of the sag region are obtained; sampling analysis is performed on the fault point through using the function, so that the probability of the falling of the fault point into the sag region is obtained; and voltage sag risk is assessed through using the fuzzy theory and the probability of the falling of the fault point into the sag region, so that a key point voltage sag risk index is obtained. According to the voltage sag risk assessment method of the invention, function fitting is performed on the line fault, so that the function of the change of key point voltage with fault positions is obtained; the sag region and the critical position of the sag region are obtained; sampling analysis is performed on the fault point, so that the probability of the falling of the fault point into the sag region is obtained; and voltage sag risk is assessed through using the fuzzy theory and the probability of the falling of the fault point into the sag region. The present invention also discloses a voltage sag risk assessment system. The voltage sag risk assessment system has the same technical effects as the method described above.

Description

A kind of voltage dip methods of risk assessment and system
Technical field
The present invention relates to voltage dip risk assessment technology field, particularly to a kind of voltage dip methods of risk assessment and System.
Background technology
With growth in the living standard, the requirement to the electrical network quality of power supply for the user improves constantly, according to survey result, voltage Temporarily drop the customer complaint causing and account for more than the 80% of the customer complaint that the quality of power supply causes, simultaneously fast with Power Electronic Technique Hail exhibition, using getting more and more in power system, therefore voltage dip is in power system operation for various voltage sensitive equipment Impact is very huge.
In prior art, the assessment to voltage dip is mostly after generation voltage dip fault, for this assessment of failure The fall of voltage, and the risk of voltage dip cannot be assessed in advance.
In sum, how voltage dip risk being estimated is the current technical issues that need to address.
Content of the invention
In view of this, it is an object of the invention to provide a kind of voltage dip methods of risk assessment and system,.It is specifically square Case is as follows:
A kind of voltage dip methods of risk assessment, comprising:
Line fault is emulated；
Function Fitting is carried out to described line fault, obtains object function, wherein said object function is key point voltage Change function with abort situation；
Calculate described object function, obtain the critical localisation of sag exposed areas and sag exposed areas；
Trouble point is sampled analyze using described object function, obtains the probability that described trouble point falls into sag exposed areas；
Fall into the probability of sag exposed areas using fuzzy theory and with reference to described trouble point, voltage dip risk be estimated, Obtain key point voltage and temporarily drop risk indicator.
Preferably, carry out simulation process to described faulty line to include:
Obtain the network topology of the power system before fault occurs, circuit-line before being broken down accordingly；
For circuit-line before described breaking down, described trouble point is set；
Described trouble point is emulated, obtains key point voltage.
Preferably, described line fault is carried out with Function Fitting is that application method of least square enters to described line fault curve Line function matching.
Preferably, using described object function, trouble point being sampled with analysis is using Monte Carlo-Latin hypercube The method of sampling is sampled to trouble point analyzing using described object function.
Preferably, described fuzzy theory is the fuzzy theory based on Gaussian membership function.
Preferably, described voltage dip methods of risk assessment also includes carrying out visualization processing to described sag exposed areas.
Preferably, the step carrying out visualization processing to described sag exposed areas includes:
Approach the distribution of described sag exposed areas using TIN；
Different colour bands are set for described TIN, to represent that the key point voltage that described trouble point causes declines The scope of low value.
Preferably, described line fault includes single-phase earthing fault, phase fault, two-phase short circuit and ground fault and three One or more of phase short trouble.
The invention also discloses a kind of voltage dip risk evaluating system, comprising:
Line fault emulation module, for emulating to line fault；
Object function fitting module, for carrying out Function Fitting to described line fault, obtains object function, wherein said Object function is that key point voltage changes function with abort situation；
Object function computing module, for calculating described object function, obtains the critical localisation of sag exposed areas and sag exposed areas；
Sampling analyses module, for being sampled to trouble point analyzing using described object function, obtains described trouble point Fall into the probability of sag exposed areas；
Risk evaluation module, falls into the probability of sag exposed areas, to voltage for using fuzzy theory and with reference to described trouble point Temporarily fall risk is estimated, and obtains key point voltage and temporarily drops risk indicator.
Preferably, described line fault emulation module includes:
Network topology acquiring unit, for obtaining the network topology of the power system before fault occurs, is sent out accordingly Circuit-line before raw fault；
Trouble point arranging unit, for arranging described trouble point for circuit-line before described breaking down；
Trouble point simulation unit, for emulating to described trouble point, obtains key point voltage.
Preferably, described object function fitting module includes:
Object function fitting unit, for applying method of least square to carry out Function Fitting to described line fault curve.
Preferably, described sampling analyses module includes:
Sampling analyses unit, for utilizing described object function to event using Monte Carlo-Latin Hypercube Sampling method Barrier point is sampled analyzing.
Preferably, described fuzzy theory is the fuzzy theory based on Gaussian membership function.
Preferably, described voltage dip risk evaluating system also includes:
Visualization processing module, for carrying out visualization processing to described sag exposed areas.
Preferably, described visualization processing module includes:
Sag exposed areas modeling unit, for approaching the distribution of described sag exposed areas using TIN；
Colour band arranging unit, for arranging different colour bands for described TIN, to represent that described trouble point causes Key point voltage decline minimum scope.
Preferably, described line fault includes single-phase earthing fault, phase fault, two-phase short circuit and ground fault and three One or more of phase short trouble.
The invention discloses a kind of voltage dip methods of risk assessment, comprising: line fault is emulated；To above-mentioned line Road fault carries out Function Fitting, obtains object function, and wherein above-mentioned object function is that key point voltage changes letter with abort situation Number；Calculate above-mentioned object function, obtain the critical localisation of sag exposed areas and sag exposed areas；Using above-mentioned object function, trouble point is carried out Sampling analyses, obtain the probability that above-mentioned trouble point falls into sag exposed areas；Fall into depression using fuzzy theory and with reference to above-mentioned trouble point The probability in domain, is estimated to voltage dip risk, obtains key point voltage and temporarily drops risk indicator.It can be seen that, it is right that the present invention passes through Line fault carries out Function Fitting, obtains key point voltage and changes function with abort situation, and tries to achieve sag exposed areas and sag exposed areas Critical localisation, by being sampled to trouble point analyzing, obtains the probability that this trouble point falls into sag exposed areas, using fuzzy theory simultaneously Fall into the probability of sag exposed areas in conjunction with this trouble point, voltage dip risk is estimated, thus obtaining key point voltage temporarily drop wind Dangerous index.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing providing obtains other accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of voltage dip methods of risk assessment disclosed in the embodiment of the present invention；
Fig. 2 is a kind of structural representation of voltage dip risk evaluating system disclosed in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of not making creative work Embodiment, broadly falls into the scope of protection of the invention.
The embodiment of the invention discloses a kind of voltage dip methods of risk assessment, as shown in figure 1, including step s1 to s5, Wherein:
Step s1: line fault is emulated.
In the embodiment of the present invention, line fault is emulated, obtain corresponding mathematic simulated mode, so that line number is entered to it Learn and calculate.
Step s2: Function Fitting is carried out to above-mentioned line fault, obtains object function, wherein above-mentioned object function is key Point voltage changes function with abort situation.
In the embodiment of the present invention, according to the mathematic simulated mode of step s1 foundation, by Function Fitting, obtain key point electricity Pressure changes function with abort situation.
Step s3: calculate above-mentioned object function, obtain the critical localisation of sag exposed areas and sag exposed areas.
In the embodiment of the present invention, key point voltage is made to be minima with abort situation change function, anti-solution obtains sag exposed areas And the critical localisation of sag exposed areas.
Step s4: trouble point is sampled analyze using above-mentioned object function, obtains above-mentioned trouble point and fall into sag exposed areas Probability.
In the embodiment of the present invention, trouble point is sampled, and is analyzed according to sampling resultses, obtain trouble point and fall into The probability of sag exposed areas.
Step s5: fall into the probability of sag exposed areas using fuzzy theory and with reference to above-mentioned trouble point, voltage dip risk is entered Row assessment, obtains key point voltage and temporarily drops risk indicator.
In the embodiment of the present invention, using fuzzy theory, combination failure point falls into the probability of sag exposed areas, risk is commented Estimate, obtain each trouble point corresponding voltage dip risk indicator, wherein risk indicator maximum for key point risk indicator.
The invention discloses a kind of voltage dip methods of risk assessment, comprising: line fault is emulated；To above-mentioned line Road fault carries out Function Fitting, obtains object function, and wherein above-mentioned object function is that key point voltage changes letter with abort situation Number；Calculate above-mentioned object function, obtain the critical localisation of sag exposed areas and sag exposed areas；Using above-mentioned object function, trouble point is carried out Sampling analyses, obtain the probability that above-mentioned trouble point falls into sag exposed areas；Fall into depression using fuzzy theory and with reference to above-mentioned trouble point The probability in domain, is estimated to voltage dip risk, obtains key point voltage and temporarily drops risk indicator.It can be seen that, it is right that the present invention passes through After emulation, line fault model carries out Function Fitting, obtains key point voltage and changes function with abort situation, and tries to achieve sag exposed areas And the critical localisation of sag exposed areas, by being sampled to trouble point analyzing, obtain the probability that this trouble point falls into sag exposed areas, utilize Fuzzy theory simultaneously falls into the probability of sag exposed areas with reference to this trouble point, voltage dip risk is estimated, thus obtaining key point Voltage dip risk indicator.
The embodiment of the invention discloses a kind of specific voltage dip methods of risk assessment, with respect to a upper embodiment, this Embodiment has made further instruction and optimization to technical scheme.Specific:
The embodiment of the present invention is refined further to emulate to line fault in step s1, specifically includes step Rapid s11 to s13, wherein:
Step s11: obtain the network topology of the power system before fault occurs, circuit line before being broken down accordingly Road；
Step s12: above-mentioned trouble point is set for circuit-line before above-mentioned breaking down；
Step s13: above-mentioned trouble point is emulated, obtains above-mentioned key point voltage.
It should be noted that the method for setting trouble point is by distance, circuit-line to be divided into n section, at each section of end It is set to trouble point, common n-1 trouble point, and by preset duration, fault simulation is carried out to this n-1 trouble point, in simulation result Extract key point voltage.For example, circuit is divided into 10 sections, sets 9 trouble points altogether, identical duration is carried out to 9 trouble points Fault simulation, extracts key point voltage in simulation result.
Need it is further noted that the network topology obtaining the power system before fault occurs supports bpa software, to event Barrier point carries out emulation and can use psd-bpa tidal current analysis instrument.
The embodiment of the present invention is refined further to step s2, carries out Function Fitting to above-mentioned line fault and is specially Application method of least square carries out Function Fitting to above-mentioned line fault curve.
Need it is further noted that applying the step that method of least square carries out Function Fitting to above-mentioned line fault curve It is using method of least square, the quadratic sum minima of error to be solved.Object function, that is, key point voltage is with abort situation Change function is:
f k ( x i ) = σ k = 0 n a k x i k &element; φ ,
In formula, akRepresentative polynomial coefficient, seeks the quadratic sum of error to this object function, and quadratic sum result is taken minimum Value, then obtain the first formula:
i = σ i = 0 m [ f k ( x i ) - y i ] 2 = σ i = 0 m ( a k x i k - y i ) 2 = m i n
Wherein, the essential condition that above-mentioned minima exists be corresponding partial derivative be equal to zero it may be assumed that
∂ i ∂ a k = 2 σ i = 0 n ( σ k = 0 m a k x i k - y i ) x i j = 0 , ( j = 0 , 1 , ... m )
Unique solution a can be obtained by the equationk, k={ 0,1 ..., n }, so that it is determined that matched curve.Obtain key point electricity After pressure is with abort situation change function, in function, input fault position can solve circuit any point position and break down critical station The voltage dip minimum of point.
The embodiment of the present invention is refined further to step s4, using above-mentioned object function, trouble point is sampled Analysis is specially and trouble point is sampled point using above-mentioned object function using Monte Carlo-Latin Hypercube Sampling method Analysis.
It should be noted that Latin Hypercube Sampling process is mainly based upon inverse function transformation approach, taking distribution function Value scope is divided into the subinterval at equal intervals of n non-overlapping copies, and the length in each subinterval is 1/n；Therefrom select a tn, tn =(n+1- ξ)/n, wherein ξ ∈ [0,1], the selection of ξ has various ways, when ξ=0.5, for being referred to as Latin Hypercube Sampling.
Need it is further noted that being sampled in existing key point voltage is with abort situation change function, when When sample size reaches some, you can the fault obtaining corresponding precision falls into the approximation probability of each scope of sag exposed areas.
The embodiment of the present invention is refined further to step s5, and above-mentioned fuzzy theory is specially and is subordinate to based on Gaussian The fuzzy theory of degree function.
It should be noted that fuzzy comprehensive evoluation can be carried out to multi objective, multifactorial target with fuzzy theory, its In terms of the factor of process, the complex network of dynamic, there is larger advantage.The main composition of its mathematical model is: passes judgment on and refers to Mark matrix r, judge collection v and Judgement Matrix f.
Pass judgment on collection v by v1(impact is greatly) v2(impact is larger) v3(having certain impact) v4(impact is general) composition, using height This type membership function data is carried out Fuzzy Processing:
f ( x , σ , c ) = e - ( x - c ) 2 2 σ 2 ,
Wherein, x is short trouble index, σ and c is 2 parameters of Gauss membership function, and wherein σ determines curve shape, Take 0.3, c to determine the axis of curve herein, in the present embodiment, c value can be taken 1,0.67,0.33 and 0, Ye Jifen respectively Wei not c1=1, c2=0.67, c3=0.33, c4=0, bring above-mentioned function respectively into, 4 can be correspondingly made available and pass judgment on the corresponding person in servitude of collection Genus degree function.The short trouble probability of four kinds of simulations are brought into judge collection membership function respectively, can be obtained it is under the jurisdiction of commenting Sentence the key point fuzzy matrix for assessment f of collection v, wherein, i-th matrix element in key point fuzzy matrix for assessment f is (with i-th Key point correspond to) expression formula be:
f i = f s lg f ( r i 1 ) f l l f ( r i 2 ) f d lg f ( r i 3 ) f t p f ( r i 4 ) . . . . . . . . . . . . f s lg f ( r i n ) f l l f ( r i n ) f d lg f ( r i n ) f t p f ( r i n )
Wherein, fslgf(ril)、fllf(ri2)、fdlgf(ri3) and ftpf(ri4), i={ 0,1 ..., n } is rijTo evaluation rank vkSubjection degree, rijRepresent j-th short trouble probability of i-th key point.
Calculate judgment matrix again, obtain weight vectors, particularly as follows:
β=[β1,β2,…,βn]
Fuzzy product computing is made to weight vectors β and fuzzy matrix f, the operator that this fuzzy product computing is adopted isOperator, the present embodiment adoptsOperator (withRepresent) determining the conclusion of voltage dip risk, And obtain fuzzy evaluation result by average weighted principle, i.e. the second formula:
In formula,Represent above-mentionedOperator；In addition, si(vk), i={ 1,2,3,4 } is crucial point data i phase For vkDegree of membership, representing that fault falls into the probability of each scope of key point sag exposed areas can be by vkThe degree of description.
For the ease of sequence, herein judge collection v is quantified, if " impact is greatly " is 100 points, " affecting larger " is 75 Point, " have certain impact " is 50 points, and " impact is general " is 25 points, then obtain the 3rd formula:
V=[v1v2v3v4]=[100 75 50 25]
By the final comprehensive score that the second formula and the 3rd formula can get i-th key point it is:
z i = σ k = 1 4 s i ( v k ) v k
In order that voltage dip is more directly perceived in whole circuit, in the embodiment of the present invention, above-mentioned voltage dip risk assessment Method also includes carrying out visualization processing to above-mentioned sag exposed areas.
In order to make voltage dip more directly perceived in whole circuit further, the embodiment of the present invention additionally provides a kind of specific The method that visualization processing is carried out to above-mentioned sag exposed areas, it specifically includes step s61 to step s62, wherein:
Step s61: approach the distribution of above-mentioned sag exposed areas using TIN；
Step s62: different colour bands are set for above-mentioned TIN, to represent the above-mentioned key that above-mentioned trouble point causes Point voltage declines the scope of minimum.
It is understood that Triangulation Network Model has, high precision, speed is fast, efficiency high and disposable the features such as.By with A series of do not intersect each other, the distribution situation to approach sag exposed areas for nonoverlapping triangular facet linking together, and triangular facet Shapes and sizes depend on the density of measuring point that is randomly distributed and position.
It is understood that above-mentioned sag exposed areas are carried out with visualization processing support arcgis software.
In the embodiment of the present invention, the line fault of voltage dip risk assessment includes single-phase earthing fault, phase fault event One or more of barrier, two-phase short circuit and ground fault and three phase short circuit fault.
The invention also discloses a kind of voltage dip risk evaluating system, shown in Figure 2, emulate mould including line fault Block 11, object function fitting module 12, object function computing module 13, sampling analyses module 14 and risk evaluation module 15, its In:
Line fault emulation module 11, for emulating to line fault.
In the embodiment of the present invention, line fault emulation module 11 emulates to line fault, obtains corresponding mathematics and imitates True mode, to carry out mathematical calculation to it.
Object function fitting module 12, for carrying out Function Fitting to above-mentioned line fault, obtains object function, wherein goes up Stating object function is that key point voltage changes function with abort situation.
In the embodiment of the present invention, according to the mathematic simulated mode of line fault emulation module 11 foundation, by object function Fitting module 12 carries out Function Fitting, obtains key point voltage and changes function with abort situation.
Object function computing module 13, for calculating above-mentioned object function, obtains the critical localisation of sag exposed areas and sag exposed areas.
In the embodiment of the present invention, it is minimum with abort situation change function that object function computing module 13 makes key point voltage Value, anti-solution obtains the critical localisation of sag exposed areas and sag exposed areas.
Sampling analyses module 14, for being sampled to trouble point analyzing using above-mentioned object function, obtains above-mentioned fault Point falls into the probability of sag exposed areas.
In the embodiment of the present invention, sampling analyses module 14 is sampled to trouble point, and is analyzed according to sampling resultses, The probability that trouble point falls into sag exposed areas must be arrived
Risk evaluation module 15, falls into the probability of sag exposed areas, to electricity for using fuzzy theory and with reference to above-mentioned trouble point Pressure temporarily drops risk and is estimated, and obtains key point voltage and temporarily drops risk indicator.
In the embodiment of the present invention, risk evaluation module 15 adopts fuzzy theory, and combination failure point falls into the probability of sag exposed areas, Risk is estimated, obtains each trouble point corresponding voltage dip risk indicator, wherein risk indicator maximum for key point Risk indicator.
The invention discloses a kind of voltage dip risk evaluating system, intend including line fault emulation module, object function Matched moulds block, object function computing module, sampling analyses module and risk evaluation module, by line fault emulation module to circuit Fault is emulated, and by object function fitting module to phantom Function Fitting, obtains key point voltage with fault bit Put change function, try to achieve the critical localisation of sag exposed areas and sag exposed areas using object function computing module, by sampling analyses module Trouble point is sampled analyze, obtains the probability that this trouble point falls into sag exposed areas, risk evaluation module utilizes fuzzy theory simultaneously Fall into the probability of sag exposed areas in conjunction with this trouble point, voltage dip risk is estimated, thus obtaining key point voltage temporarily drop wind Dangerous index.
The embodiment of the invention discloses a kind of specific voltage dip risk evaluating system, with respect to a upper embodiment, this Embodiment has made further instruction and optimization to technical scheme.Specific:
The embodiment of the present invention is refined further to above-mentioned line fault emulation module, specifically includes:
Network topology acquiring unit, for obtaining the network topology of the power system before fault occurs, is sent out accordingly Circuit-line before raw fault；
Trouble point arranging unit, for arranging above-mentioned trouble point for circuit-line before above-mentioned breaking down；
Trouble point simulation unit, for emulating to above-mentioned trouble point, obtains above-mentioned key point voltage.
It should be noted that circuit-line is divided into n section by distance by trouble point arranging unit, it is set at each section of end Trouble point, common n-1 trouble point, and by preset duration, fault simulation is carried out to this n-1 trouble point, extract in simulation result Key point voltage.For example, circuit is divided into 10 sections, sets 9 trouble points altogether, 9 trouble points are carried out with the fault of identical duration Emulation, extracts key point voltage in simulation result.
Need it is further noted that network topology acquiring unit obtains the network topology of the power system before fault occurs Support bpa software, trouble point simulation unit carries out emulation and can use psd-bpa tidal current analysis instrument to trouble point.
The embodiment of the present invention is refined further to above-mentioned object function fitting module, specifically includes:
Object function fitting unit, for applying method of least square to carry out Function Fitting to above-mentioned line fault curve.
The embodiment of the present invention is refined further to above-mentioned sampling analyses module, specifically includes:
Sampling analyses unit, for utilizing above-mentioned object function to event using Monte Carlo-Latin Hypercube Sampling method Barrier point is sampled analyzing.
Need it is further noted that sampling analyses unit changes in function with abort situation in existing key point voltage It is sampled, when sample size reaches some, you can the fault obtaining corresponding precision falls into the near of each scope of sag exposed areas Like probability.
In the embodiment of the present invention, above-mentioned fuzzy theory is the fuzzy theory based on Gaussian membership function.
In order that voltage dip is more directly perceived in whole circuit, in the embodiment of the present invention, above-mentioned voltage dip risk assessment System also includes:
Visualization processing module, for carrying out visualization processing to above-mentioned sag exposed areas.
In order to make voltage dip more directly perceived in whole circuit further, the embodiment of the present invention is to above-mentioned visualization processing mould Block is refined further, specifically includes:
Sag exposed areas modeling unit, for approaching the distribution of above-mentioned sag exposed areas using TIN；
Colour band arranging unit, for arranging different colour bands for above-mentioned TIN, to represent that above-mentioned trouble point causes Above-mentioned key point voltage decline the scope of minimum.
It is understood that Triangulation Network Model has, high precision, speed is fast, efficiency high and disposable the features such as.Sag exposed areas Modeling unit by with a series of do not intersect each other, nonoverlapping triangular facet linking together approaches the distribution of sag exposed areas Situation, and the shapes and sizes of triangular facet are depending on the density of measuring point being randomly distributed and position.
It is understood that sag exposed areas modeling unit carries out visualization processing to above-mentioned sag exposed areas supports arcgis software.
In the embodiment of the present invention, above-mentioned line fault includes single-phase earthing fault, phase fault, two-phase grounding fault One or more of fault and three phase short circuit fault.
Last in addition it is also necessary to explanation, herein, such as first and second or the like relational terms be used merely to by One entity or operation are made a distinction with another entity or operation, and not necessarily require or imply these entities or operation Between there is any this actual relation or order.And, term " inclusion ", "comprising" or its any other variant meaning Covering comprising of nonexcludability, so that including a series of process of key elements, method, article or equipment not only include that A little key elements, but also include other key elements being not expressly set out, or also include for this process, method, article or The intrinsic key element of equipment.In the absence of more restrictions, the key element being limited by sentence "including a ...", does not arrange Remove and also there is other identical element in the process including described key element, method, article or equipment.
Above a kind of voltage dip methods of risk assessment provided by the present invention and system are described in detail, herein In apply specific case the principle of the present invention and embodiment be set forth, the explanation of above example is only intended to help Assistant's solution method of the present invention and its core concept；Simultaneously for one of ordinary skill in the art, according to the think of of the present invention Think, all will change in specific embodiments and applications, in sum, it is right that this specification content should not be construed as The restriction of the present invention.

Claims (16)

1. a kind of voltage dip methods of risk assessment is it is characterised in that include:
Line fault is emulated；
Function Fitting is carried out to described line fault, obtains object function, wherein said object function is key point voltage with event Barrier change in location function；
Calculate described object function, obtain the critical localisation of sag exposed areas and sag exposed areas；
Trouble point is sampled analyze using described object function, obtains the probability that described trouble point falls into sag exposed areas；
Fall into the probability of sag exposed areas using fuzzy theory and with reference to described trouble point, voltage dip risk is estimated, obtains Risk indicator temporarily drops in key point voltage.
2. voltage dip methods of risk assessment according to claim 1 is it is characterised in that imitate to described faulty line True step includes:
Obtain the network topology of the power system before fault occurs, circuit-line before being broken down accordingly；
For circuit-line before described breaking down, described trouble point is set；
Described trouble point is emulated, obtains key point voltage.
3. voltage dip methods of risk assessment according to claim 2 is it is characterised in that carry out letter to described line fault Number fits to application method of least square and carries out Function Fitting to described line fault curve.
4. voltage dip methods of risk assessment according to claim 3 is it is characterised in that utilize described object function to event It is trouble point to be carried out using described object function using Monte Carlo-Latin Hypercube Sampling method that barrier point is sampled analysis Sampling analyses.
5. voltage dip methods of risk assessment according to claim 4 is it is characterised in that described fuzzy theory is based on height The fuzzy theory of this type membership function.
6. voltage dip methods of risk assessment according to claim 1 is it is characterised in that also include described sag exposed areas are entered Row visualization processing.
7. voltage dip methods of risk assessment according to claim 6 is it is characterised in that carry out visually to described sag exposed areas Change the step processing to include:
Approach the distribution of described sag exposed areas using TIN；
Different colour bands are set for described TIN, to represent the key point voltage decline minimum that described trouble point causes Scope.
8. the voltage dip methods of risk assessment according to any one of claim 1-7 is it is characterised in that described line fault Including one or more of single-phase earthing fault, phase fault, two-phase short circuit and ground fault and three phase short circuit fault.
9. a kind of voltage dip risk evaluating system is it is characterised in that include:
Line fault emulation module, for emulating to line fault；
Object function fitting module, for carrying out Function Fitting to described line fault, obtains object function, wherein said target Function is that key point voltage changes function with abort situation；
Object function computing module, for calculating described object function, obtains the critical localisation of sag exposed areas and sag exposed areas；
Sampling analyses module, for being sampled to trouble point analyzing using described object function, obtains described trouble point and falls into The probability of sag exposed areas；
Risk evaluation module, falls into the probability of sag exposed areas, to voltage dip for using fuzzy theory and with reference to described trouble point Risk is estimated, and obtains key point voltage and temporarily drops risk indicator.
10. voltage dip risk evaluating system according to claim 9 is it is characterised in that described line fault emulates mould Block includes:
, for obtaining the network topology of the power system before fault occurs, be there is event accordingly in network topology acquiring unit Circuit-line before barrier；
Trouble point arranging unit, for arranging described trouble point for circuit-line before described breaking down；
Trouble point simulation unit, for emulating to described trouble point, obtains key point voltage.
11. voltage dip risk evaluating systems according to claim 10 are it is characterised in that described object function matching mould Block includes:
Object function fitting unit, for applying method of least square to carry out Function Fitting to described line fault curve.
12. voltage dip risk evaluating systems according to claim 11 are it is characterised in that described sampling analyses module bag Include:
Sampling analyses unit, for utilizing described object function to trouble point using Monte Carlo-Latin Hypercube Sampling method It is sampled analyzing.
13. voltage dip risk evaluating systems according to claim 12 it is characterised in that described fuzzy theory be based on The fuzzy theory of Gaussian membership function.
14. voltage dip risk evaluating systems according to claim 9 are it is characterised in that also include:
Visualization processing module, for carrying out visualization processing to described sag exposed areas.
15. voltage dip risk evaluating systems according to claim 14 are it is characterised in that described visualization processing module Including:
Sag exposed areas modeling unit, for approaching the distribution of described sag exposed areas using TIN；
Colour band arranging unit, for arranging different colour bands for described TIN, to represent the pass that described trouble point causes Key point voltage declines the scope of minimum.
The 16. voltage dip risk evaluating systems according to any one of claim 9-15 are it is characterised in that described circuit is former Barrier includes one or more of single-phase earthing fault, phase fault, two-phase short circuit and ground fault and three phase short circuit fault.
CN201610846965.1A 2016-09-23 2016-09-23 Voltage sag risk assessment method and system Pending CN106372812A (en)

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CN108152629A (en) * 2017-12-26 2018-06-12 中国石油大学(华东) A kind of method that voltage tolerance force curve is drawn for thermal power plant
CN108400595A (en) * 2018-04-13 2018-08-14 国网天津市电力公司电力科学研究院 A kind of voltage dip Stochastic prediction method considering new energy output correlation
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CN108152629A (en) * 2017-12-26 2018-06-12 中国石油大学(华东) A kind of method that voltage tolerance force curve is drawn for thermal power plant
CN108152629B (en) * 2017-12-26 2020-02-18 中国石油大学(华东) Method for drawing voltage tolerance curve of thermal power plant
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CN110533291A (en) * 2019-07-25 2019-12-03 广西电网有限责任公司电力科学研究院 A kind of medium voltage distribution network weak link identification method based on risk assessment
CN110533291B (en) * 2019-07-25 2022-07-22 广西电网有限责任公司电力科学研究院 Medium voltage distribution network weak link identification method based on risk assessment
CN110456219A (en) * 2019-08-12 2019-11-15 国网江西省电力有限公司电力科学研究院 A kind of appraisal procedure of distribution line short voltage dip degree
CN111861141A (en) * 2020-06-29 2020-10-30 国网上海市电力公司 Power distribution network reliability assessment method based on fuzzy fault rate prediction
CN111861141B (en) * 2020-06-29 2024-02-13 国网上海市电力公司 Power distribution network reliability assessment method based on fuzzy fault rate prediction
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CN117439068A (en) * 2023-10-26 2024-01-23 国网宁夏电力有限公司中卫供电公司 Voltage sag estimation method, medium and system in large-scale power grid
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