CN107884682A - Electrical power distribution network fault location method based on trouble point Yu monitoring point distance - Google Patents
Electrical power distribution network fault location method based on trouble point Yu monitoring point distance Download PDFInfo
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- CN107884682A CN107884682A CN201711185214.0A CN201711185214A CN107884682A CN 107884682 A CN107884682 A CN 107884682A CN 201711185214 A CN201711185214 A CN 201711185214A CN 107884682 A CN107884682 A CN 107884682A
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The present invention relates to a kind of electrical power distribution network fault location method based on trouble point Yu monitoring point distance, belong to power network monitoring field.The technical scheme of use:Establish monitoring point in existing power network, broken down respectively at each node in analogue simulation power network, gather the voltage dip data at monitoring point, above-mentioned data storage is established into database as node failure comparison data;The voltage dip amplitude and phase hit of failure phase are gathered during electric network fault at monitoring point, voltage dip amplitude and phase hit are compared with above-mentioned node failure comparison data, determine the transition resistance scope of fault section and corresponding failure section;According to the fault distance distribution function localization of faults distance of failure phase in the voltage x current and three-phase of failure phase in three-phase after the failure collected after fault section determination.The event of failure writing function for the Power Quality Detection instrument installed in practical application using transformer substation end, the fault location of carry out radiation type distribution network that can be more accurate are low using the simple cost of equipment.
Description
Technical field
The present invention relates to a kind of electrical power distribution network fault location method based on trouble point Yu monitoring point distance, belong to power network monitoring
Field.
Background technology
Power distribution network branch is numerous, complicated, easily breaks down.In order to quickly isolate failure, recovery system normal operation,
Need rapidly and accurately to realize that distribution network failure positions, domestic and international researcher has done this numerous studies.
At present, the research both at home and abroad to FLT is broadly divided into 3 classes:1)Traveling wave method.Need that accurate survey is installed
Amount measurement device fault traveling wave reaches the time used in measurement apparatus to realize fault localization.Distribution net work structure is complicated, blend
It is wave impedance discontinuity point at pipeline connector, at lines branch and at load, thus ranging is difficult, and equipment investment expense is held high
It is expensive, thus this method realized in distribution it is relatively difficult.2)Current judgement method based on multimetering.Such method mainly uses
Matrix algorithm and artificial intelligence method, the current information monitored by means of techniques of feeder terminal unit in power distribution network measurement apparatus, pass through total score
Analysis realizes that Distribution Network Failure section positions.Such method is invested big, it is necessary to install multiple monitoring devices in distribution, and is only had now
The higher region of distribution automation level possesses this monitoring condition, and the data bulk that low-voltage network can measure is limited so that
The application of such method has significant limitations, and such method can only realize fault section location, it is impossible to it is determined that specific failure
Position.3)Impedance method.According to the directly proportional principle of Fault loop impedance and fault distance, fault location, impedance method principle are realized
Simply, small investment, but be not suitable for being applied in baroque power distribution network.
Break down the voltage dip data difference measured in monitoring point for consideration circuit difference, utilizes least square method bent
Line fitting determines fault distance distribution function to realize fault localization, and the several points of analog simulation circuit break down, according to prison
The temporary drop data of relevant voltage that measuring point measures fits fault distance distribution function, but the distribution function obtained according to curve matching
Calculating fault distance can be bigger than calculating fault distance error with the distribution function obtained according to actual distribution topological structure.
The content of the invention
The present invention provides a kind of electrical power distribution network fault location method based on trouble point Yu monitoring point distance, solves power distribution network event
Hinder orientation problem.
To achieve the above object, the technical solution adopted by the present invention is:
Electrical power distribution network fault location method based on trouble point Yu monitoring point distance,
Monitoring point is established in existing power network, by being broken down respectively at each node in analogue simulation power network, and gathers monitoring
Voltage dip data at point, database is established as node failure comparison data using above-mentioned data storage;
When electric network fault occurs, the voltage dip amplitude and phase hit of failure phase are gathered at monitoring point, and above-mentioned voltage is temporary
Range of decrease value and phase hit are compared with above-mentioned node failure comparison data, determine the mistake of fault section and corresponding failure section
Cross resistance range;
After fault section determines, failure in the voltage x current and three-phase of failure phase in three-phase after the failure collected according to monitoring point
The fault distance distribution function localization of faults distance of phase.
Preferably, the data of the monitoring point collection include the Injection Current per phase voltage and per phase.
Preferably fault distance distribution function is as follows as further,
,
Wherein,UKa is the A phase voltages measured at the k of monitoring point after failure;Ika、Ikb、IKc is respectively transformer station after failure
Hold the Injection Current of A, B, C three-phase;Jkaka、Jkakb、JKakc represents impedance matrixJ Self-impedance, the AB of middle k points A phases
Mutual impedance, the mutual impedance of AC phases of phase;
The relation function of fault point node impedance and fault distance,
Zkf、Zkq、Zkp、ZPq is respectively impedance matrixZ Mutual impedance between interior joint k, f, p, q, k nodes are monitoring node,
Fang Jiedian is malfunctioning node, and p node is one of branch node, another branch nodes of q;Zff、Zpp、ZQq represent node f,
P, q self-impedance,ZPq represents the impedance of circuit p-q sections;
Mutually the fault distance distribution function real part per phase and the fault distance of imaginary part equation determination are failure
dmr、dmI is respectively basism The fault distance that distribution function real part, the imaginary part equation of phase calculate,m=1,2,3 points
Biao Shi not A, B, C three-phase;
Final fault distanceD,
Failure is mutually a phase,n For 1, failure is mutually two-phase,n For 2, failure is mutually three-phase,n For 3.
It is an advantage of the current invention that proposing, characteristic information and the realization of fault distance distribution function temporarily drop based on busbar voltage
The One-Point Location algorithm of distribution network failure positioning, characteristic information and Data Matching in database temporarily drop using busbar voltage during failure
Analysis determines possible breakdown section.According to the fault distance distribution function for the corresponding failure section established based on nodal impedance matrix
Fault distance is calculated with voltage dip data after failure, overcomes and calculates the problem of fault distance error is big and pseudo-fault point influences.
, can be more accurate using the event of failure writing function of the Power Quality Detection instrument of transformer substation end installation in practical application
It is the fault location of new radiation type distribution network, simple using equipment, cost is low, it is easy to accomplish.
Brief description of the drawings
Fig. 1 is the simple distribution feeder of two distribution branch roads,
Fig. 2 is the voltage dip of the different transition resistance lower curtate p-q based on each nodes of Fig. 1.
Embodiment
The present invention is that voltage x current information carries out analysis judgement electricity in power network between node using trouble point and monitoring point
Net abort situation, from the point of view of concrete principle, fault distance distribution function is based on nodal impedance matrix, for any given systematic parameter
Power distribution network, invert method using bus admittance matrix or branch additional method be not difficult to obtain the three-phase nodal impedance matrix of distribution.
Before failure, to originaln The power network of node can be establishedn Rank three-phase nodal impedance matrixZpre.Consider 2, the band as shown in Fig. 1
The simple radiation type distribution network of branch road, node k are transformer substation end monitoring point, just can be real with electric energy quality monitor in practical application
Existing event of failure data record, it is assumed that short trouble occurs at the f on transmission line p-q, apart from node p unit distance
Ford。
According to the meaning of self-impedance in nodal impedance matrix and mutual impedance element, each node voltage column vector is equal in distribution
Nodal impedance matrix is multiplied by corresponding each node Injection Current column vector.For radial distribution networks, transformer substation end electric current can be regarded as
Unique Injection Current, then k voltages can be by corresponding nodal impedance matrix member on the functional equation of electric current at the node of monitoring point
Element connects.It is not suitable for three-phase imbalance power distribution network in view of phase component method, realizes that failure is determined using phase components method herein
Position is illustrated with avoiding this deficiency by taking A phase voltages at node k as an example.
(1)
In formula:UKa is the A phase voltages measured at the k of monitoring point after failure;Ika、Ikb、IKc is respectively transformer station after failure
Hold the Injection Current of A, B, C three-phase;J By additional in the three-phase nodal impedance matrix when distribution is normal after occurring for failure
The three-phase nodal impedance matrix obtained after malfunctioning node f and transition resistance;Jkaka、Jkakb、JKakc represents impedance matrixJ
The self-impedance of middle k points A phases, mutual impedance, the mutual impedance of AC phases of AB phases.After failure occurs, regard trouble point as one newly
Node f,
Can be by correcting failure front nodal point impedance matrixZPre, added after malfunctioning node f (n+ 3) rank three-phase node
Impedance matrixZ。Z In beforen OKn Nodal impedance matrix element of the column element with system when normal is identical, other elements and event
It is related to hinder node.The self-impedance and mutual impedance associated with malfunctioning node changes with the change of fault distance, and available system is just
Nodal impedance matrix element and fault distance when oftendRepresent.
(2)
In formula:Zkf、Zkq、Zkp、ZPq is respectively impedance matrixZ Mutual impedance between interior joint k, f, p, q;Zff、Zpp、Zqq
Represent node f, p, q self-impedance;ZPq represents the impedance of circuit p-q sections.It can cause network in view of different faults type
Different changes occur for structure, need to be according to specific failure situation in three-phase nodal impedance matrixZ On the basis of additional transition resistance,
Obtain the three-phase nodal impedance matrix for meeting failure situationJ.Obtain single-phase short circuit, line to line fault, line to line fault ground connection, three-phase it is short
Meet the three-phase nodal impedance matrix of failure situation during the failure of roadW、M、G、S.WillW、M、G、S In respective element alternate form
(1) inJ Related element, each phase voltage in monitoring point is on fault distance in the case of can obtain different faultsd Failure away from
From distribution function.
Each fault distance distribution function is made available separately 2 real number equations by real part and imaginary part.Failure away from
Real and imaginary parts equation from distribution function is respectively
fr(d) =Urmeas (3)
fi(d)=Uimeas (4)
In formulaUrmeas、UImeas is respectively the voltage real part and voltage imaginary part that monitoring point measures after failure.By real part equation
The fault distance being calculateddR can try to achieve according to formula (4), the fault distance being calculated by imaginary part equationdI can be according to formula
(4) try to achieve.
According to distribution topological data, different faults type and different transition resistances are considered, at each node of online simulation distribution
Individually break down, the voltage dip amplitude of failure phase at monitoring point is obtained by Load flow calculationU With phase hit θ, meter
Voltage dip real and imaginary parts are calculated, and with voltage dip real partUR and imaginary partUI form is stored into the section of corresponding failure type
Put in voltage sags database, the voltage sags database established at monitoring point.
Fault section location
When physical fault occurs, according to the voltage dip amplitude and phase hit of the failure phase gathered at monitoring point, voltage is calculated
Temporarily the data in drop real and imaginary parts, with the temporary drop data storehouse of node voltage carry out the matching analysis, determine possible breakdown section and phase
Answer the transition resistance scope of fault section.To any section p-q, because the transition resistance assumed during analogue simulation is not continuous
, it is likely that transition resistance during physical fault causes surveyed voltage dip data not imitative not in the range of analogue simulation
In true simulation context, as shown in Fig. 2.In Fig. 2,Ur、UI is respectively the real part of the voltage dip of failure phase, imaginary part, 2 void
Frame portion point is respectively that fault resstance isRf(x)、Rf(x+ 1) corresponding voltage dip real part and imaginary part scope when,Rf(x+1)> Rf
(x),x=1,2,3,…,n,n It is the number of all fault resstances of analogue simulation.In order that physical fault section does not fail to choose,
Can be according to following method choice possible breakdown section.
Ur ≤Ur.f ≤Ur (5)
Ui ≤Ui.f ≤Ui (6)
In formula:Ur.f、UThe voltage dip real part of the failure phase calculated when i.f is respectively failure by monitoring point data measured and
Imaginary part;Ur、Ur、Ui、UI (max) is respectively that analogue simulation failure occurs on section p-q node, and fault resstance is respectivelyRf(x)、Rf
(x+ 1) minimum value in the voltage dip real part data that monitoring point measures when, the maximum in voltage dip real part data,
The maximum in minimum value, voltage dip imaginary data in voltage dip imaginary data.
If according to the voltage dip real and imaginary parts that calculate of voltage dip data of monitoring point failure phase while meet
Formula (5) (6), then section p-q is possible breakdown section,Rf(x)~Rf(x+ 1) resistance value between is possible transition resistance value.By
Identical voltage dip amplitude and phase may be monitored at monitoring point by being broken down in the point based on identical electrical distance
Saltus step, influenceed by branch point, multiple fault sections may be obtained using the above method.
After fault section determines, after the failure collected according to monitoring point in three-phase in the voltage x current and three-phase of failure phase
The fault distance distribution function of failure phase can determine that trouble point.The voltage x current that monitoring point after transition resistance value and failure is measured
Data are brought into the fault distance distribution function of corresponding possible breakdown section, and each fault distance distribution function presses real part
Formula (3) (4) is made available separately with imaginary part, fault distance can be calculateddr、di.Calculatedr、dI need to be in (0,1) scope
Interior, if not in the range of (0,1), then the fault section is pseudo- fault section.Most probable transition resistance value need to be with progressively forcing
Nearly search method existsRf(x)~Rf
(x+ 1) search for and determine between, existed with smaller step-lengthRf(x)~Rf(x+ 1) search make diversity factor δ 1, the sums of δ 2 minimum between
Transition resistance value.
Most probable trouble point is determined according to transition resistance now, mutually the fault distance distribution function per phase is real by failure
The fault distance that portion and imaginary part equation determine is
dm=(dmr+dmi)/2 (7)
In formuladmr、dmI is respectively basism The fault distance that distribution function real part, the imaginary part equation of phase calculate,m=1,2,3
A, B, C three-phase are represented respectively, if possible breakdown point actual fault point, in mutually each phase of failuredmR withdmI diversity factor should
Identical or very little, failure phase in three-phasedmR withdmDiversity factor total i is represented with δ 1.
Final fault distanced It can be identified as
d=(d1+d2+d3)/n (8)
In formula (7) (8),dm Failure phase is pertained only to, non-faulting phasedmr、dmI anddm It should be 0.Failure is mutually a phase,n
For 1, failure is mutually two-phase,n For 2, failure is mutually three-phase,n For 3.
Context of methods carry out fault location when, information is temporarily dropped according to busbar voltage and judges possible breakdown section, avoid by
Section routine calculation determines that fault section takes considerable time.Point for the faults distance change established based on nodal impedance matrix
Cloth function calculates fault distance, and the degree of accuracy is higher, and the sort algorithm of introducing reduces the influence of pseudo-fault point.Sample calculation analysis is verified
The accuracy and reliability of context of methods.In practical application, the failure of the electric energy quality monitor of transformer substation end installation is utilized
Event recording function, the fault location of radiation type distribution network can be relatively accurately realized, simple using equipment, cost is low, easily
In realization.
Claims (3)
1. a kind of electrical power distribution network fault location method based on trouble point Yu monitoring point distance, it is characterized in that,
Monitoring point is established in existing power network, by being broken down respectively at each node in analogue simulation power network, and gathers monitoring
Voltage dip data at point, database is established as node failure comparison data using above-mentioned data storage;
When electric network fault occurs, the voltage dip amplitude and phase hit of failure phase are gathered at monitoring point, and above-mentioned voltage is temporary
Range of decrease value and phase hit are compared with above-mentioned node failure comparison data, determine the mistake of fault section and corresponding failure section
Cross resistance range;
After fault section determines, failure in the voltage x current and three-phase of failure phase in three-phase after the failure collected according to monitoring point
The fault distance distribution function localization of faults distance of phase.
2. the electrical power distribution network fault location method according to claim 1 based on trouble point Yu monitoring point distance, it is characterized in that,
The data of the monitoring point collection include the Injection Current per phase voltage and per phase.
3. the electrical power distribution network fault location method according to claim 2 based on trouble point Yu monitoring point distance, it is characterized in that,
Fault distance distribution function is as follows,
Applaud apart from partition function .JPG,
Wherein,UKa is the A phase voltages measured at the k of monitoring point after failure;Ika、Ikb、IKc is respectively transformer station after failure
Hold the Injection Current of A, B, C three-phase;Jkaka、Jkakb、JKakc represents impedance matrixJ Self-impedance, the AB of middle k points A phases
Mutual impedance, the mutual impedance of AC phases of phase;
The relation function of fault point node impedance and fault distance,
Failure point impedance .JPG
Zkf、Zkq、Zkp、ZPq is respectively impedance matrixZ Mutual impedance between interior joint k, f, p, q, k nodes are monitoring node,
Fang Jiedian is malfunctioning node, and p node is one of branch node, another branch nodes of q;Zff、Zpp、ZQq represent node f,
P, q self-impedance,ZPq represents the impedance of circuit p-q sections;
Mutually the fault distance distribution function real part per phase and the fault distance of imaginary part equation determination are failure
Fault distance .JPG
dmr、dmI is respectively basism The fault distance that distribution function real part, the imaginary part equation of phase calculate,m=1,2,3 points
Biao Shi not A, B, C three-phase;
Final fault distanceD,
Range formula .JPG
Failure is mutually a phase,n For 1, failure is mutually two-phase,n For 2, failure is mutually three-phase,n For 3.
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109523165A (en) * | 2018-11-19 | 2019-03-26 | 东南大学 | A kind of voltage dip situation estimation method based on limited information |
CN109633373A (en) * | 2018-12-18 | 2019-04-16 | 中国电力科学研究院有限公司 | Failure accurate positioning method and device in a kind of power distribution network |
CN110082634A (en) * | 2019-04-30 | 2019-08-02 | 中国矿业大学 | The one-phase earthing failure in electric distribution network localization method of wide area current time sequence |
CN110850228A (en) * | 2019-11-04 | 2020-02-28 | 国网江苏省电力有限公司泰州供电分公司 | Low-voltage transformer area fault positioning method based on equivalent impedance characteristics of phase change switch |
CN112444705A (en) * | 2019-09-03 | 2021-03-05 | 南京理工大学 | Regression correction method for wavelet transformation fault location |
CN113281584A (en) * | 2021-04-21 | 2021-08-20 | 东南大学溧阳研究院 | Voltage sag source positioning method based on correction parameters |
CN113466628A (en) * | 2021-07-09 | 2021-10-01 | 国网江苏省电力有限公司扬州供电分公司 | Small current ground fault distance measurement method for power distribution network resonance grounding system |
CN114113890A (en) * | 2021-11-23 | 2022-03-01 | 国网江西省电力有限公司电力科学研究院 | Multi-terminal fusion power distribution network fault positioning method based on traveling wave modulus transmission time difference |
CN115877268A (en) * | 2023-02-13 | 2023-03-31 | 中节能晶和照明(江西)有限公司 | Positioning monitoring and alarming method for L-N leakage point in intelligent lighting system |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104483601A (en) * | 2014-12-24 | 2015-04-01 | 广西大学 | Power distribution network fault location method based on fault indicators |
-
2017
- 2017-11-23 CN CN201711185214.0A patent/CN107884682A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104483601A (en) * | 2014-12-24 | 2015-04-01 | 广西大学 | Power distribution network fault location method based on fault indicators |
Non-Patent Citations (2)
Title |
---|
李国成等: "基于故障距离分布函数的配电网故障定位方法研究", 《电子设计工程》 * |
谭丹等: "基于故障距离分布函数的配电网故障定位", 《电网技术》 * |
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