CN105842580B - A kind of voltage sag source suitable for intelligent distribution network is accurately positioned optimization method - Google Patents
A kind of voltage sag source suitable for intelligent distribution network is accurately positioned optimization method Download PDFInfo
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- 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
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- 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
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Abstract
The present invention relates to a kind of voltage sag sources suitable for intelligent distribution network to be accurately positioned optimization method.After voltage dip occurs, it is primarily based on the candidate distributed areas that sequence power increment orientation principle determines temporarily drop source.Then, voltage dip origin cause of formation identification is carried out, pointedly to instruct to position.For the voltage dip caused by short trouble, in candidate distributed areas, according to inverting thought, based on the intelligent distribution network short-circuit current calculation method for considering that the new energy access of inverter interface influences, using abort situation, transition resistance as optimized variable, with fault current, the calculated value of voltage and the minimum target of observation error at finite observation point, it establishes and finds closest busbar and find the step-by-step optimization model of exact failure position and solved using intelligent optimization algorithm, be accurately positioned with improving positioning accuracy, realizing.By the intelligent distribution network voltage sag source positioning and optimizing of above-mentioned flow, positioning accuracy higher, calculation amount smaller, the better target of applicability can be achieved in the present invention.
Description
Technical field
The present invention relates to a kind of voltage sag sources suitable for intelligent distribution network to be accurately positioned optimization method.
Background technology
With the extensive access of all kinds of generation of electricity by new energy devices and power electronics interface equipment, intelligent distribution network is shown
The characteristics of two-way, power quality complication of trend etc. is different from conventional electrical distribution net.Currently, carrying out power distribution automation and distribution regulation and control
Integral intelligent technology support system construction, General Promotion power quality improve power supply reliability, are distribution intelligent constructions
One of main target.As one of the power quality problem paid close attention to the most, voltage dip can seriously affect all kinds of in power distribution network set
Standby normal work causes huge economic loss.
Accurately temporarily drop source positioning, on the one hand contributes to quick investigation problem, to improve power supply reliability；On the other hand,
Also the responsibility of power supply enterprise and user during voltage dip can be specified, distinguish source, preferably coordinated under Power Market
Dispute between power department and user.In addition, with urban power distribution network construction, the continuous improvement of buried cable rate, accurately
The positioning of temporary drop source shorten trouble duration, reduce failure and influence, have for facilitating in troubleshooting process inspection to work
Significance.
In recent years, as PQ monitors the extensive use of system, voltage dip is carried out based on the data that the system acquisition arrives
Analysis obtains extensive concern.For voltage sag source orientation problem, the existing method based on power of disturbance and disturbance energy, with
And it is based on equiva lent impedance real part method, real part current method, distance relay method and system trajectory Slope Method, it can be by judging to see
The polarity of the real part of the equiva lent impedance of measuring point or changing to judge upstream-downstream relationship of the temporary drop source relative to observation point for size.
It being combined by the network real time information provided with power distribution automation, above method can carry out temporarily dropping the judgement of source approximate region,
But for electric fault class voltage sag source, it cannot achieve and be accurately positioned.
Currently, monitoring the network real time information of the data and power distribution automation offer of system based on PQ, it is based on short circuit current
It calculates, progress distribution network voltage temporarily drops source and is accurately positioned as one of research hotspot.But existing method, which exists, does not differentiate between temporary drop source
Type need to traverse all busbares, computationally intensive, be only applicable to single supply radiation type distribution network, transition resistance estimation there are deviation,
The deficiencies of influencing positioning accuracy.
For the above deficiency, the network real time information of the data and power distribution automation offer of system, this hair are monitored based on PQ
It is bright creatively to propose that a kind of voltage sag source being adapted to intelligent distribution network is accurately positioned strategy.It temporarily drops after occurring, first base
Temporarily upstream-downstream relationship of the drop source relative to each observation point is judged in sequence power increment orientation principle, to determine its candidate distributed area
Domain reduces space to be searched.Then, voltage dip origin cause of formation identification is carried out, pointedly to instruct to position.For by short trouble
Caused voltage dip is based on inverting thought, to consider the distributed generation resource shadow of inverter interface in candidate distributed areas
Based on loud Short-circuit Current of Power Network is calculated, using abort situation, transition resistance as optimized variable, establishes step-by-step optimization model and adopt
It is solved with intelligent optimization algorithm, is accurately positioned with realizing.
Invention content
The present invention is to adopt the following technical scheme that progress：
A kind of voltage sag source suitable for intelligent distribution network is accurately positioned optimization method, which is characterized in that including：
The step of one electric fault class voltage sag source Primary Location：Moment network to be analyzed occurs according to voltage dip
Real-time topology information, waited by judging that temporary drop source obtains temporary drop source relative to the upstream-downstream relationship of each observation point, comprehensive analysis
Distributed areas set1 is selected, then in set1, establishes Primary Location inverting Optimized model, and be based on intelligent distribution network short circuit current
Computational methods and intelligent optimization algorithm are solved, and to seek obtaining closest busbar ne-bus, and obtain coupled all
The set set2 that road is constituted；
The step of one electric fault class voltage sag source is accurately positioned：In set2, foundation is accurately positioned inverting optimization
Model simultaneously solves, and temporarily drops source position to be accurately positioned electric fault class.
It is accurately positioned optimization method, the electric fault in a kind of above-mentioned voltage sag source suitable for intelligent distribution network
In the step of class voltage sag source Primary Location, obtain set1 and seek the specific method of closest busbar ne-bus is：
Step 1：Electric energy quality monitoring system main website analyzes the electric energy that all limited a observation point is installed of target containing when in real time
The fundamental wave of quality monitoring terminal upload, harmonic voltage, current data, once voltage dip occurs, determines voltage dip hair first
The raw moment, and before uploading voltage dip warning message and all limited a observation point voltage dip to power distribution automation main station
Fundamental wave three-phase voltage, current waveform data afterwards；
Step 2：After power distribution automation main station receives voltage dip warning message, starts voltage sag source and be accurately positioned；It is first
Time information is first occurred according to voltage dip, the real-time topology and parameter information of the network to be analyzed at corresponding moment is assembled, is based on
Sequence power increment orientation principle judges temporarily upstream-downstream relationship of the drop source relative to each observation point, and it is candidate that comprehensive analysis obtains temporary drop source
Distributed areas set1；
Step 3：Power distribution automation main station starts the identification of the voltage dip origin cause of formation；
Step 4：If identification result, which is non-electrical failure classes, temporarily drops source, it can determine that it is corresponding according to specific temporarily drop Source Type
Installation site collection set0 further can determine its position by asking set0 and set1 intersections；
Step 5：In power distribution automation main station, if identification result, which is electric fault class, temporarily drops source, it is primarily based on temporarily drop journey
The most apparent observation point of degree temporarily drop occur after three-phase fundamental voltage, current information judge short-circuit-type；
Step 6：Rely on the real-time grid structural parameters information of network to be analyzed and whole limited a observation point voltage dips
Fundamental wave three-phase voltage, current data afterwards carry out Locate step by step；First, in set1, Primary Location inverting Optimized model is established,
And solved based on intelligent distribution network short-circuit current calculation method and intelligent optimization algorithm, to seek obtaining closest busbar ne-
Bus, and obtain the set set2 that coupled all branches are constituted.
It is accurately positioned the step 2 described in optimization method in a kind of above-mentioned voltage sag source suitable for intelligent distribution network
In, judge that the specific method of temporary drop source candidate distributed areas set1 is based on definition based on sequence power increment orientation principle：
Positive-sequence power increment Delta Pe(1)：
ΔPe(1)=Δ U(1)ΔI(1)cos(θ(1))
Negative sequence power increment Delta Pe(2)：
ΔPe(2)=Δ U(2)ΔI(2)cos(θ(2))
In formula,Observation point fundamental frequency positive sequence voltage, current change quantity respectively before and after voltage dip；Fundamental frequency positive sequence voltage, electric current phasor respectively during voltage dip and before temporarily drop generation；
θ(1)ForIt is ahead ofAngle；Observation point fundamental frequency negative sequence voltage, electric current respectively before and after voltage dip
Variable quantity；Fundamental frequency negative sequence voltage before respectively during voltage dip and temporarily drop occurs,
Electric current phasor；θ(2)ForIt is ahead ofAngle；
The method of step 2 specifically includes：
Step 2.1, it makes the following judgment：
Judge one：For positive-sequence power increment, following direction criterion is carried out：
If a) Δ Pe(1)> 0, then temporarily drop source is located at upstream；
If b) Δ Pe(1)< 0, then temporarily drop source is located at downstream；
Judge two：For negative sequence power increment, following direction criterion is carried out：
If a) Δ Pe(2)< 0, then temporarily drop source is located at upstream；
If b) Δ Pe(2)> 0, then temporarily drop source is located at downstream；
Step 2.2, for each observation point, the judging result based on step 2.1 can obtain temporarily dropping the upstream and downstream phase in source
It is comprehensive analyze and obtain in conjunction with the network real-time topology information to be analyzed that power distribution automation provides to position relationship
The temporarily candidate distributed areas set1 in drop source.
It is accurately positioned the step 3 described in optimization method in a kind of above-mentioned voltage sag source suitable for intelligent distribution network
In, the specific method for carrying out voltage sag source origin cause of formation identification is：
Step 3.1, fundamental voltage data before and after the voltage dip of the whole limited a observation points of analysis determine that temporarily drop degree is most
Serious observation point；
Step 3.2, three-phase amplitude is calculated not according to fundamental voltage information during the temporary drop of temporary drop degree most serious observation point
Amplitude recovery extent β during degree of balance α and temporarily drop；And origin cause of formation identification is carried out based on following decision condition：
If decision condition one, β < β set, it is short trouble temporarily to drop source；
If decision condition two, β < β set and α > α set, it is short circuit therefore transformer switching temporarily to drop source；
If decision condition three, β > β set and α < α set, temporarily drops source and start for induction machine.
It is accurately positioned the step 4 described in optimization method in a kind of above-mentioned voltage sag source suitable for intelligent distribution network
In, the specific method for carrying out the positioning of non-electrical failure classes voltage sag source is：
Step 4.1, since non-electrical failure classes voltage sag source installation site is fixed, it can be recognized according to the origin cause of formation
As a result corresponding installation site set set0 is obtained；
Step 4.2, by asking the intersection of set0 and candidate distributed areas set1, you can realize and such temporarily drop source is determined
Position.
It is accurately positioned the step 6 described in optimization method in a kind of above-mentioned voltage sag source suitable for intelligent distribution network
In, the inverting Optimized model of electric fault class voltage sag source Primary Location is carried out specifically with electric after the failure at finite observation point
Pressure, the calculated value of electric current and actual observed value error amount the minimum object function of summation, and based on optimized variable and
Constraints, formula specific as follows：
In above formula：Δuh(b,rf1)、Δih(b,rf1) it is respectively when failure is happened in set1 on the b articles busbar and transition
Resistance is rf1When, the error amount of voltage, the calculated value of electric current and actual observed value after the failure at h-th of observation point；N is
Observation point sum in system；
With failure busbar b and transition resistance r occurs for the Optimized modelf1Variable as an optimization；Wherein, b becomes for discrete type
Amount if b=k1, that is, indicates that failure is happened at if busbar sum contained by set1 is m1, b ∈ [1,2 ..., k ..., m1]
At 1 busbar of kth in set1；rf1For continuous variable；
The constraints is based on following formula group
In above formula, rmaxFor the value range upper limit of transition resistance.
It is accurately positioned optimization method in a kind of above-mentioned voltage sag source suitable for intelligent distribution network and carries out electric fault
The pinpoint inverting Optimized model of class voltage sag source is specifically with the calculated value of voltage, electric current after the failure at observation point
With the minimum object function of summation of the error amount of actual observed value, and be based on optimized variable and constraints, formula specific as follows：
In above formula：Δuh(l,λ,rf)、Δih(l,λ,rf) be respectively when failure be happened in set2 the l articles branch on the road, away from
From the branch head end relative distance be λ and transition resistance is rf2When, the theory of voltage, electric current after the failure at h-th of observation point
The error amount of calculated value and actual observed value；N is observation point sum in system；
With failure branch l, fault point occur for the Optimized model away from branch first section relative distance λ and transition resistance rf2Optimization
Variable；Specifically, l is discrete variable, if containing m2 branch in set2 altogether, l ∈ [1,2 ..., k2 ..., m2] work as l
When=k2, that is, indicate that failure is happened at 2 branch roads of the kth in set1；λ,rf2It is continuous type optimized variable；
The constraints is based on following formula group:
In above formula, rmaxFor the value range upper limit of transition resistance.
It is accurately positioned optimization method in a kind of above-mentioned voltage sag source suitable for intelligent distribution network, carries out electric fault
The preliminary inverting Optimized model of class voltage sag source and it is accurately positioned inverting Optimized model, is based on the intelligence for considering that new energy influences
Energy power distribution network short-circuit current calculation method, illustrates by taking the power distribution network calculation of short-circuit current containing photovoltaic as an example in detail below：
1) for the proper network before failure, the normal voltage positive-sequence component of any node i is represented by：
In above formula, G1For the set of the active node including access point containing IIDG, ZijPositive sequence mutual resistance between node i, j
It is anti-.
2) should be an equivalent controlled positive sequence electricity by photovoltaic processing if being connected to photovoltaic on node k for super-imposed networks
Stream source
In above formula,Respectively the positive sequence output current of front and back photovoltaic occurs for failure.
3) accordingly it is found that the positive sequence voltage fault component of any node i is：
In above formula, G2The only set of IIDG access points.
4) after then breaking down, the practical positive sequence voltage of node i is：
Correspondingly, the positive sequence voltage at each photovoltaic access point is：
In view of transition resistance rfInfluence, the positive sequence voltage of fault point is：
5) according to power grid earthing mode, the corresponding equation of negative phase-sequence and (or) zero sequence is established.In conjunction with the failure of known IIDG
Preceding output current, each photovoltaic access point of simultaneous, each sequence voltage equation of fault point and failure boundary conditional equation, you can acquireWith each sequence short circuit current of fault point, and each sequence short circuit current of each branch and each sequence of each node can be further acquired
Voltage, and then acquire corresponding phase current, phase voltage.
The present invention has the following advantages：1) genetic analysis containing voltage dip is taken not for different type voltage sag source
Same localization method, can not only be accurately positioned voltage dip caused by short trouble, also can be to non-electrical failure classes voltage dip
Source is positioned, and avoids influencing positioning accuracy because of temporarily drop Source Type misjudgment.2) sentenced based on sequence power increment orientation principle
Upstream-downstream relationship of the disconnected temporarily drop source relative to each observation point reduces model to be searched to determine the candidate distributed areas in temporarily drop source
It encloses, reduce calculation amount.3) use the intelligent distribution network short circuit calculation method containing distributed generation resource, overcome conventional method for
The more power supply smart power distribution networks of complexity that all kinds of distributed generation resources, particularly inverse distributed power largely access are difficult to applicable
It is insufficient.4) for short trouble class voltage sag source, the problem of being accurately positioned, which is converted into, to be found closest busbar collection and seeks
It looks for the step-by-step optimization problem of failure accurate location to analyze, overcomes Existing policies during being accurately positioned not to transition resistance
It is modified the deficiency for causing position error larger, improves positioning accuracy.
Description of the drawings
Fig. 1 is specific topological structure schematic diagram involved in the embodiment of the present invention.
Specific implementation mode
Below by embodiment, and data analysis is combined, the technical solutions of the present invention will be further described.
Embodiment：
One, the specific method of the present invention is introduced first：
The present invention includes：
1, the step of electric fault class voltage sag source Primary Location：Moment net to be analyzed occurs according to voltage dip
The real-time topology information of network, by judging that temporary drop source obtains temporary drop source relative to the upstream-downstream relationship of each observation point, comprehensive analysis
Candidate distributed areas set1 establishes Primary Location inverting Optimized model, and based on intelligent distribution network short circuit electricity then in set1
Flow calculation methodologies and intelligent optimization algorithm are solved, and to seek obtaining closest busbar ne-bus, and are obtained coupled all
The set set2 that branch is constituted；Obtain set1 and seek the specific method of closest busbar ne-bus is：
Step 1：Electric energy quality monitoring system main website analyzes the electric energy that all limited a observation point is installed of target containing when in real time
The fundamental wave of quality monitoring terminal upload, harmonic voltage, current data, once voltage dip occurs, determines voltage dip hair first
The raw moment, and before uploading voltage dip warning message and all limited a observation point voltage dip to power distribution automation main station
Fundamental wave three-phase voltage, current waveform data afterwards；
Step 2：After power distribution automation main station receives voltage dip warning message, starts voltage sag source and be accurately positioned；It is first
Time information is first occurred according to voltage dip, the real-time topology and parameter information of the network to be analyzed at corresponding moment is assembled, is based on
Sequence power increment orientation principle judges temporarily upstream-downstream relationship of the drop source relative to each observation point, and it is candidate that comprehensive analysis obtains temporary drop source
Distributed areas set1；Judge that the specific method of temporary drop source candidate distributed areas set1 is to be based on based on sequence power increment orientation principle
Definition：
Positive-sequence power increment Delta Pe(1)：
ΔPe(1)=Δ U(1)ΔI(1)cos(θ(1))
Negative sequence power increment Delta Pe(2)：
ΔPe(2)=Δ U(2)ΔI(2)cos(θ(2))
In formula,Observation point fundamental frequency positive sequence voltage, current change quantity respectively before and after voltage dip；Fundamental frequency positive sequence voltage, electric current phasor respectively during voltage dip and before temporarily drop generation；
θ(1)ForIt is ahead ofAngle；Observation point fundamental frequency negative sequence voltage, electric current respectively before and after voltage dip
Variable quantity；Fundamental frequency negative sequence voltage before respectively during voltage dip and temporarily drop occurs,
Electric current phasor；θ(2)ForIt is ahead ofAngle；
The method of step 2 specifically includes：
Step 2.1, it makes the following judgment：
Judge one：For positive-sequence power increment, following direction criterion is carried out：
If a) Δ Pe(1)> 0, then temporarily drop source is located at upstream；
If b) Δ Pe(1)< 0, then temporarily drop source is located at downstream；
Judge two：For negative sequence power increment, following direction criterion is carried out：
If a) Δ Pe(2)< 0, then temporarily drop source is located at upstream；
If b) Δ Pe(2)> 0, then temporarily drop source is located at downstream；
Step 2.2, for each observation point, the judging result based on step 2.1 can obtain temporarily dropping the upstream and downstream phase in source
It is comprehensive analyze and obtain in conjunction with the network real-time topology information to be analyzed that power distribution automation provides to position relationship
The temporarily candidate distributed areas set1 in drop source.
Step 3：Power distribution automation main station starts the identification of the voltage dip origin cause of formation；Carry out the specific of voltage sag source origin cause of formation identification
Method is：
Step 3.1, fundamental voltage data before and after the voltage dip of the whole limited a observation points of analysis determine that temporarily drop degree is most
Serious observation point；
Step 3.2, three-phase amplitude is calculated not according to fundamental voltage information during the temporary drop of temporary drop degree most serious observation point
Amplitude recovery extent β during degree of balance α and temporarily drop；And origin cause of formation identification is carried out based on following decision condition：
If decision condition one, β < β set, it is short trouble temporarily to drop source；
If decision condition two, β < β set and α > α set, it is short circuit therefore transformer switching temporarily to drop source；
If decision condition three, β > β set and α < α set, temporarily drops source and start for induction machine.
Step 4：If identification result, which is non-electrical failure classes, temporarily drops source, it can determine that it is corresponding according to specific temporarily drop Source Type
Installation site collection set0 further can determine its position by asking set0 and set1 intersections；Carry out non-electrical failure classes
Voltage sag source positioning specific method be：
Step 4.1, since non-electrical failure classes voltage sag source installation site is fixed, it can be recognized according to the origin cause of formation
As a result corresponding installation site set set0 is obtained；
Step 4.2, by asking the intersection of set0 and candidate distributed areas set1, you can realize and such temporarily drop source is determined
Position.
Step 5：In power distribution automation main station, if identification result, which is electric fault class, temporarily drops source, it is primarily based on temporarily drop journey
The most apparent observation point of degree temporarily drop occur after three-phase fundamental voltage, current information judge short-circuit-type；
Step 6：Rely on the real-time grid structural parameters information of network to be analyzed and whole limited a observation point voltage dips
Fundamental wave three-phase voltage, current data afterwards carry out Locate step by step；First, in set1, Primary Location inverting Optimized model is established,
And solved based on intelligent distribution network short-circuit current calculation method and intelligent optimization algorithm, to seek obtaining closest busbar ne-
Bus, and obtain the set set2 that coupled all branches are constituted；Carry out electric fault class voltage sag source Primary Location
Inverting Optimized model specifically with the mistake of voltage, the calculated value of electric current and actual observed value after the failure at finite observation point
The minimum object function of summation of difference, and it is based on optimized variable and constraints, formula specific as follows：
In above formula：Δuh(b,rf1)、Δih(b,rf1) it is respectively when failure is happened in set1 on the b articles busbar and transition
Resistance is rf1When, the error amount of voltage, the calculated value of electric current and actual observed value after the failure at h-th of observation point；N is
Observation point sum in system；
With failure busbar b and transition resistance r occurs for Optimized modelf1Variable as an optimization；Wherein, b is discrete variable, if
Busbar sum contained by set1 is m1, then b ∈ [1,2 ..., k ..., m1], if b=k1, that is, indicates that failure is happened in set1
At 1 busbar of kth；rf1For continuous variable；
Constraints is based on following formula group
In above formula, rmaxFor the value range upper limit of transition resistance.
Carry out electric fault class voltage sag source pinpoint inverting Optimized model specifically with the failure at observation point after
The minimum object function of summation of the error amount of voltage, the calculated value of electric current and actual observed value, and it is based on optimized variable
And constraints, formula specific as follows：
In above formula：Δuh(l,λ,rf)、Δih(l,λ,rf) be respectively when failure be happened in set2 the l articles branch on the road, away from
From the branch head end relative distance be λ and transition resistance is rf2When, the theory of voltage, electric current after the failure at h-th of observation point
The error amount of calculated value and actual observed value；N is observation point sum in system；
With failure branch l, fault point occur for Optimized model away from branch first section relative distance λ and transition resistance rf2Optimization becomes
Amount；Specifically, l is discrete variable, if containing m2 branch in set2 altogether, l ∈ [1,2 ..., k2 ..., m2] work as l=
When k2, that is, indicate that failure is happened at 2 branch roads of the kth in set1；λ,rf2It is continuous type optimized variable；
Constraints is based on following formula group:
In above formula, rmaxFor the value range upper limit of transition resistance.
Two, illustrate the present invention so that the voltage sag source of improved IEEE34 node power distributions net is accurately positioned as an example below.It adopts
Its specific topological structure of example is as shown in Figure 1.
For convenience of analysis, by the processing of electric network composition parameter symmetrization；822, (photovoltaic, capacity are equal by addition IIDG at 840 nodes
For 1MW)；When carrying out non-electrical failure classes voltage sag source assignment test, induced electricity may be put into somewhere in 826,864
Machine (corresponding set0 is 826,864), or somewhere input transformer (corresponding set0 is 818,838,856) in 818,838,856,
It is not considered then in the case of remaining.Observation point is respectively 808,816,854,834 in system.
Positioning Example Verification in source temporarily drops in non-electrical failure classes
Positioning for the voltage dip caused by non-electrical failure, specifically by taking following 3 voltage dip events as an example into
Row explanation：
(1) 826 busbar induction machine starts；
(2) 864 busbar induction machines start；
Transformer is put on (3) 856 busbares；
1) candidate distributed areas set1 is determined
After voltage dip occurs, first according to the collected electric current of 4 observation point institutes, voltage waveform, increased based on sequence power
The method of amount judges that its upstream-downstream relationship, concrete outcome are as shown in table 1 below.It needs slightly to illustrate, for being named as " a-
The branch of b " forms, the directions acquiescence a are its upstream, and the directions b are downstream.
Upstream-downstream relationship of the table 1 based on sequence power increment direction judges
Further, in conjunction with Network Topology for Real-Time comprehensive analysis, you can obtain the candidate distributed areas set1 for temporarily dropping source.Specifically
Analytic process is illustrated by taking event 1 as an example, for 808 associated branch, due to temporarily dropping source relative to 806-808,808-
810, the relationship of 808-812 is respectively downstream, upstream, downstream, so through temporarily drop source should be in the downstream of 808-812 known to analysis
Region；Similarly, it can be determined that go out temporary drop source respectively in the downstreams 816-824, the upstreams 830-854, the upstreams 858-834.Accordingly, right
In event 1, it can determine whether out that set1 should include busbar 824,826,828,830.Similarly, the set1 letters of above-mentioned 3 events can be obtained
Breath, it is specific as shown in table 2.
The set1 analysis results of 2 event 1-3 of table
2) voltage sag source type identification
It is follow-up to carry out voltage dip genetic analysis after temporary drop source candidate distributed areas set1 is determined.Specifically, for
Three above voltage dip event can obtain its specific crucial identification characteristic quantity information, type identification result and corresponding peace
Holding position collection set0 information is as shown in table 3：
3 voltage dip Source Type identification result of table
3) source positioning result temporarily drops in non-electrical failure classes
Based on upper table 3 as a result, understanding event 1, event 2, event 3 respectively by induction machine starts, induction machine opens
Dynamic and transformer input causes, and is non-electrical failure classes voltage sag source.Then according to described in 2.4, directly seek set1 and
The intersection of set0, you can obtain accurately temporarily dropping source position, concrete outcome is as shown in table 4 below.
4 non-electrical failure classes voltage sag source positioning result of table
As can be known from the above table：Voltage dip event 1, event 2 and event 3, context of methods judge respectively by induced electricity on 826
Machine starts, transformer input causes in induction machine startup and 856 on 864.To sum up, for electric caused by 3 non-electrical failures
Temporarily drop event, above-mentioned positioning result are consistent with actual conditions for pressure.
Positioning Example Verification in source temporarily drops in short trouble class
The voltage dip caused by short trouble is divided in order to illustrate the validity and adaptability of the location algorithm
Scene is not dropped temporarily by following four different voltages to be analyzed：
(1) from A phase ground short circuit failures occur at 828 busbares 50% on 828-830 circuits, transition resistance is 4.0 Europe
Nurse；
AB two-phase short-circuit faults occur on (2) 852 busbares, transition resistance is 3.0 ohm；
It is being from generation AB line to line fault earth faults, transition resistance at 832 busbares 70% on (3) 832-858 circuits
3.0 ohm；
(4) three-phase ground short trouble occurs at 846 busbares, transition resistance is 0.4 ohm.
Below by taking scene 1 as an example, detailed positioning result explanation is carried out according to the strategy step herein.
1) candidate distributed areas set1 is determining and temporarily drop source recognizes
For above four scenes, the candidate distributed areas for temporarily dropping source can be obtained based on sequence power increment orientation principle,
This will not be detailed here, and for scene 1, it includes busbar 824,826,828,830 that can obtain its set1.
Further, voltage dip genetic analysis should be carried out.Specifically, since the β of above four scenes is respectively
0.00002,0.00003,0.00004,0.00002, respectively less than setting valve β set, therefore can determine whether out that temporary drop source is short circuit event
Barrier.
2) electric fault class voltage sag source Primary Location
According to above-mentioned analysis result it is found that scene 1 be short trouble caused by voltage dip, set1 include busbar 824,
826,828,830, it subsequently should first carry out the Primary Location for the purpose of finding closest busbar.
First, it can determine whether that its specific fault type is A phases single-line to ground fault, to instruct calculation of short-circuit current.In this base
On plinth, to find closest busbar collection ne-bus, the corresponding preliminary Optimized model of demand solution in set1.Pass through optimization, gained
Optimal result such as the following table 5.
5 scene of table, 1 closest busbar optimal result
From 5 optimum results of table it is found that for scene 1, it is busbar 828 tentatively to optimize obtained closest busbar ne-bus,
Corresponding transition resistance is 4.6071 ohm.
To illustrate the correctness of the above results, be given in Table 6 when assume failure be respectively occurring at 824,826,828,
When on 830 busbares, only using transition resistance as optimized variable, corresponding object function optimal situation.
Failure optimal value in each busbar is assumed in 6 scene 1set1 of table
As known from Table 6, when failure is happened at busbar 824,826,828,830 successively, corresponding optimal value is followed successively by
47.8017,34.4537,16.3887,19.7438.It can be found that for scene 1, busbar 828 is closest busbar really.
3) electric fault class voltage sag source is accurately positioned
Further, the determination of electric fault class voltage sag source exact position can be carried out.According to the above results, for field
Scape 1, since ne-bus is busbar 828, it is known that coupled branch collection set2 is made of 824-828,828-830.In set2
It is interior, Optimized model is accurately positioned by foundation and is solved, acquired results such as the following table 7.It needs slightly to illustrate, for being named as
The branch of " a-b " form, acquiescence a are its first section, and b is its end.
7 scene of table, 1 temporary drop source is accurately positioned result
According to table 7 it is found that for scene 1, it is that temporary drop source is located on 828-830 circuits from 828 busbares to be accurately positioned result
At 50.06%.Obviously, above-mentioned positioning result is identical with actual setting situation.
Similarly, for other four scenes, the method for the present invention also can be positioned accurately, detailed each scene positioning knot
Fruit refers to the following table 8.
Source positioning result temporarily drops in 8 each scene of table
As known from Table 8, specific to each scene away from first section relative distance, optimum results are respectively with actual value error
0.06%, 0.029%, 0.05%, 0.03%, worst error is only 0.06%.
4) the method for the present invention superiority embodies
The result of the above results and existing method is compared, there is following result：
1) by introducing voltage dip identifing source, source is temporarily dropped for non-electrical false voltage, the present invention can also be accurately positioned,
And it can avoid causing error in judgement larger due to temporarily dropping Source Type and not corresponding to.
2) when positioning optical failure classes voltage sag source, candidate distributed areas set1 is sought based on sequence power increment method
Afterwards, the busbar number of required search greatly reduces when Primary Location.By taking 4 scenes as an example, search busbar number needed for context of methods is
Respectively 4,6,6,4, and existing method is then both needed to 34 busbares of search.
3) as shown in table 8 as a result, by introducing the intelligent distribution network short circuit calculation method containing distributed generation resource, for complexity
More power supply smart power distribution networks, for voltage dip caused by all kinds of short troubles, context of methods can be achieved to be accurately positioned, no longer
It is limited to single supply radiation type distribution network.
4) due to during being accurately positioned, being corrected to transition resistance by optimization, short trouble is caused
Voltage dip, this method positioning accuracy higher.By taking scene 1 as an example, on the basis of the method for the present invention, do not consider accurately fixed
It is modified during position for finding the transition resistance value (4.6071 ohm) that closest busbar obtains, then gained is accurately positioned
It the results are shown in Table 9.It can be seen that position error is larger, reaches 2.20%, and the position error of the method for the present invention is only
0.06%, positioning accuracy is obviously more excellent.
Table 9 is accurately positioned result based on 1 temporary drop source of existing method thinking scene
Specific embodiment described herein is only an example for the spirit of the invention.Technology belonging to the present invention is led
The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method
In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.
Claims (7)
1. a kind of voltage sag source suitable for intelligent distribution network is accurately positioned optimization method, which is characterized in that including：
The step of one electric fault class voltage sag source Primary Location：The reality of moment network to be analyzed occurs according to voltage dip
When topology information, by judging that temporary drop source obtains temporary drop source candidate point relative to the upstream-downstream relationship of each observation point, comprehensive analysis
Cloth region set1 establishes Primary Location inverting Optimized model, and be based on intelligent distribution network calculation of short-circuit current then in set1
Method and intelligent optimization algorithm are solved, and to seek obtaining closest busbar ne-bus, and obtain coupled all branch institutes
The set set2 of composition；
The step of one electric fault class voltage sag source is accurately positioned：In set2, foundation be accurately positioned inverting Optimized model,
And solve, to be accurately positioned electric fault class, source position temporarily drops；
In the step of electric fault class voltage sag source Primary Location, obtains set1 and seek obtaining closest busbar ne-bus
Specific method is：
Step 1：Electric energy quality monitoring system main website analyzes the power quality that all limited a observation point is installed of target containing when in real time
The fundamental wave, harmonic voltage, current data for monitoring terminal upload, when voltage dip occurs, determines that voltage dip occurs first
It carves, and base before and after uploading voltage dip warning message and all limited a observation point voltage dip to power distribution automation main station
Wave three-phase voltage, current waveform data；
Step 2：After power distribution automation main station receives voltage dip warning message, starts voltage sag source and be accurately positioned；Root first
Time information occurs according to voltage dip, assembles the real-time topology and parameter information of the network to be analyzed at corresponding moment, is based on sequence work(
Rate increment orientation principle judges that temporarily upstream-downstream relationship of the drop source relative to each observation point, comprehensive analysis obtain temporary drop source candidate distribution
Region set1；
Step 3：Power distribution automation main station starts the identification of the voltage dip origin cause of formation；
Step 4：If identification result, which is non-electrical failure classes, temporarily drops source, it can determine that it pacifies accordingly according to specific temporarily drop Source Type
Holding position collection set0, further, by asking set0 to can determine its position with set1 intersections；
Step 5：In power distribution automation main station, if identification result, which is electric fault class, temporarily drops source, it is primarily based on temporary drop degree most
Apparent observation point temporarily drop occur after three-phase fundamental voltage, current information judge short-circuit-type；
Step 6：The real-time grid structural parameters information for relying on network to be analyzed and base after all limited a observation point voltage dips
Wave three-phase voltage, current data carry out Locate step by step；First, in set1, Primary Location inverting Optimized model, and base are established
It is solved in intelligent distribution network short-circuit current calculation method and intelligent optimization algorithm, to seek obtaining closest busbar ne-bus, and
Obtain the set set2 that coupled all branches are constituted.
2. a kind of voltage sag source suitable for intelligent distribution network according to claim 1 is accurately positioned optimization method,
It is characterized in that, in the step 2, judges temporarily to drop the specific of source candidate distributed areas set1 based on sequence power increment orientation principle
Method is based on definition：
Positive-sequence power increment Delta Pe(1)：
ΔPe(1)=Δ U(1)ΔI(1)cos(θ(1))
Negative sequence power increment Delta Pe(2)：
ΔPe(2)=Δ U(2)ΔI(2)cos(θ(2))
In formula,Observation point fundamental frequency positive sequence voltage, current change quantity respectively before and after voltage dip；Fundamental frequency positive sequence voltage, electric current phasor respectively during voltage dip and before temporarily drop generation；
θ(1)ForIt is ahead ofAngle；Observation point fundamental frequency negative sequence voltage, electric current respectively before and after voltage dip
Variable quantity；Fundamental frequency negative sequence voltage before respectively during voltage dip and temporarily drop occurs,
Electric current phasor；θ(2)ForIt is ahead ofAngle；
The method of step 2 specifically includes：
Step 2.1, it makes the following judgment：
Judge one：For positive-sequence power increment, following direction criterion is carried out：
If a) Δ Pe(1)> 0, then temporarily drop source is located at upstream；
If b) Δ Pe(1)< 0, then temporarily drop source is located at downstream；
Judge two：For negative sequence power increment, following direction criterion is carried out：
If a) Δ Pe(2)< 0, then temporarily drop source is located at upstream；
If b) Δ Pe(2)> 0, then temporarily drop source is located at downstream；
Step 2.2, for each observation point, the judging result based on step 2.1 can obtain temporarily dropping the upstream and downstream in source with respect to position
Relationship is set, it is comprehensive analyze and temporarily be dropped in conjunction with the network real-time topology information to be analyzed that power distribution automation provides
The candidate distributed areas set1 in source.
3. a kind of voltage sag source suitable for intelligent distribution network according to claim 1 is accurately positioned optimization method,
It is characterized in that, in the step 3, the specific method for carrying out voltage sag source origin cause of formation identification is：
Step 3.1, fundamental voltage data before and after the voltage dip of the whole limited a observation points of analysis, determine temporarily drop degree most serious
Observation point；
Step 3.2, three-phase amplitude imbalance is calculated according to fundamental voltage information during the temporary drop of temporary drop degree most serious observation point
Amplitude recovery extent β during spending α and temporarily dropping；And origin cause of formation identification is carried out based on following decision condition：
If decision condition one, β < β set, it is short trouble temporarily to drop source；
If decision condition two, β < β set and α > α set, it is short circuit therefore transformer switching temporarily to drop source；
If decision condition three, β > β set and α < α set, temporarily drops source and start for induction machine.
4. a kind of voltage sag source suitable for intelligent distribution network according to claim 1 is accurately positioned optimization method,
It is characterized in that, in the step 4, the specific method for carrying out the positioning of non-electrical failure classes voltage sag source is：
Step 4.1, since non-electrical failure classes voltage sag source installation site is fixed, the result that can be recognized according to the origin cause of formation
Obtain corresponding installation site set set0；
Step 4.2, by asking the intersection of set0 and candidate distributed areas set1, you can realize the positioning for such temporary drop source.
5. a kind of voltage sag source suitable for intelligent distribution network according to claim 1 is accurately positioned optimization method,
It is characterized in that, in the step 6, carries out the inverting Optimized model of electric fault class voltage sag source Primary Location specifically to have
The minimum target letter of summation of the error amount of voltage, the calculated value of electric current and actual observed value after failure at limit observation point
Number, and it is based on optimized variable and constraints, formula specific as follows：
In above formula：Δuh(b,rf1)、Δih(b,rf1) it is respectively when failure is happened in set1 on the b articles busbar and transition resistance
For rf1When, the error amount of voltage, the calculated value of electric current and actual observed value after the failure at h-th of observation point；N is system
Middle observation point sum；
With failure busbar b and transition resistance r occurs for the Optimized modelf1Variable as an optimization；Wherein, b is discrete variable, if
Busbar sum contained by set1 is m1, then b ∈ [1,2 ..., k ..., m1], if b=k1, that is, indicates that failure is happened in set1
At 1 busbar of kth；rf1For continuous variable；
The constraints is based on following formula group
In above formula, rmaxFor the value range upper limit of transition resistance.
6. a kind of voltage sag source suitable for intelligent distribution network according to claim 1 is accurately positioned optimization method,
Be characterized in that, carry out electric fault class voltage sag source pinpoint inverting Optimized model specifically with the failure at observation point after
The minimum object function of summation of the error amount of voltage, the calculated value of electric current and actual observed value, and it is based on optimized variable
And constraints, formula specific as follows：
In above formula：Δuh(l,λ,rf)、Δih(l,λ,rf) it is respectively to be somebody's turn to do when failure is happened at the l articles branch road, distance in set2
Branch head end relative distance is λ and transition resistance is rf2When, the theoretical calculation of voltage, electric current after the failure at h-th of observation point
The error amount of value and actual observed value；N is observation point sum in system；
With failure branch l, fault point occur for the Optimized model away from branch first section relative distance λ and transition resistance rf2Optimization becomes
Amount；Specifically, l is discrete variable, if containing m2 branch in set2 altogether, l ∈ [1,2 ..., k2 ..., m2] work as l=
When k2, that is, indicate that failure is happened at 2 branch roads of the kth in set1；λ,rf2It is continuous type optimized variable；
The constraints is based on following formula group:
In above formula, rmaxFor the value range upper limit of transition resistance.
7. a kind of voltage sag source suitable for intelligent distribution network according to claim 1 is accurately positioned optimization method,
It is characterized in that, carries out the preliminary inverting Optimized model of electric fault class voltage sag source and is accurately positioned inverting Optimized model,
Based on the intelligent distribution network short-circuit current calculation method for considering that new energy influences, in detail below with the power distribution network short circuit electricity containing photovoltaic
It is illustrated for stream calculation：
1) for the proper network before failure, the normal voltage positive-sequence component of any node i is represented by：
In above formula, G1For the set of the active node including access point containing IIDG, ZijPositive sequence mutual impedance between node i, j；
2) should be an equivalent controlled forward-order current source by photovoltaic processing if being connected to photovoltaic on node k for super-imposed networks
In above formula,Respectively the positive sequence output current of front and back photovoltaic occurs for failure；
3) accordingly it is found that the positive sequence voltage fault component of any node i is：
In above formula, G2The only set of IIDG access points；
4) after then breaking down, the practical positive sequence voltage of node i is：
Correspondingly, the positive sequence voltage at each photovoltaic access point is：
In view of transition resistance rfInfluence, the positive sequence voltage of fault point is：
5) according to power grid earthing mode, the corresponding equation of negative phase-sequence and (or) zero sequence is established；It is defeated before failure in conjunction with known IIDG
Go out electric current, each photovoltaic access point of simultaneous, each sequence voltage equation of fault point and failure boundary conditional equation, you can acquire
With each sequence short circuit current of fault point, and can further acquire each branch each sequence short circuit current and each node each sequence electricity
Pressure, and then acquire corresponding phase current, phase voltage.
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| CN106199152B (en) * | 2016-08-17 | 2023-05-05 | 云南电网有限责任公司电力科学研究院 | Voltage sag identification system and method |
| CN106646103B (en) * | 2016-09-29 | 2019-02-22 | 福州大学 | A kind of voltage sag source localization method based on multi-measuring point positive sequence voltage Optimum Matching |
| CN107769197B (en) * | 2017-11-14 | 2019-11-29 | 国网江苏省电力公司电力科学研究院 | A kind of voltage sag source positioning system based on grid equipment topology |
| CN109470985A (en) * | 2018-06-19 | 2019-03-15 | 国网浙江省电力有限公司湖州供电公司 | A kind of voltage sag source identification methods based on more resolution singular value decompositions |
| CN109298286A (en) * | 2018-10-29 | 2019-02-01 | 福建和盛高科技产业有限公司 | A method of judging that reason and design temporarily drop source orientation algorithm temporarily drop in power quality |
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| CN114019313B (en) * | 2021-11-11 | 2022-08-02 | 广东电网有限责任公司广州供电局 | Low-voltage power grid fault area judgment method, device, terminal and medium |
| CN114611278B (en) * | 2022-03-03 | 2022-09-13 | 四川大学 | Multi-stage voltage sag state estimation method |
| CN115713158B (en) * | 2022-11-23 | 2023-06-06 | 贵州电网有限责任公司信息中心 | Power distribution network stability prediction method, device, equipment and storage medium |
| CN116885856B (en) * | 2023-09-01 | 2023-12-05 | 北京煜邦电力技术股份有限公司 | Electric power acquisition terminal and method based on sine function model |
| CN117743807B (en) * | 2024-02-19 | 2024-04-26 | 四川大学 | Multi-stage voltage sag cause identification method for power distribution network |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102608493A (en) * | 2011-01-25 | 2012-07-25 | 华北电力科学研究院有限责任公司 | Method and device for positioning voltage sag source |
| CN103576048A (en) * | 2013-10-09 | 2014-02-12 | 国家电网公司 | Possible faulty line set extracting method for positioning voltage sag source |
| CN104155580A (en) * | 2014-08-19 | 2014-11-19 | 国家电网公司 | Voltage sag source positioning method with association analysis and electric power calculation being combined |
| CN104215882A (en) * | 2014-09-09 | 2014-12-17 | 中国矿业大学 | Voltage sag source locating method based on active single-port network resistor polarity |
| CN104215881A (en) * | 2014-09-09 | 2014-12-17 | 中国矿业大学 | Voltage sag source locating method based on sequence disturbing active current direction |
| CN104267310A (en) * | 2014-09-09 | 2015-01-07 | 中国矿业大学 | Voltage dip source positioning method based on disturbance power direction |
| CN104360235A (en) * | 2014-11-19 | 2015-02-18 | 南京工程学院 | Method for positioning voltage sag source of complex power distribution network including DGs |
| CN104537581A (en) * | 2015-01-30 | 2015-04-22 | 福州大学 | Method for positioning temporary voltage drop source on line by adopting fuzzy similarity match |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6360178B1 (en) * | 1997-12-09 | 2002-03-19 | Antony Cozart Parsons | System and method for locating a disturbance in a power system based upon disturbance power and energy |
-
2015
- 2015-11-20 CN CN201510819753.XA patent/CN105842580B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102608493A (en) * | 2011-01-25 | 2012-07-25 | 华北电力科学研究院有限责任公司 | Method and device for positioning voltage sag source |
| CN103576048A (en) * | 2013-10-09 | 2014-02-12 | 国家电网公司 | Possible faulty line set extracting method for positioning voltage sag source |
| CN104155580A (en) * | 2014-08-19 | 2014-11-19 | 国家电网公司 | Voltage sag source positioning method with association analysis and electric power calculation being combined |
| CN104215882A (en) * | 2014-09-09 | 2014-12-17 | 中国矿业大学 | Voltage sag source locating method based on active single-port network resistor polarity |
| CN104215881A (en) * | 2014-09-09 | 2014-12-17 | 中国矿业大学 | Voltage sag source locating method based on sequence disturbing active current direction |
| CN104267310A (en) * | 2014-09-09 | 2015-01-07 | 中国矿业大学 | Voltage dip source positioning method based on disturbance power direction |
| CN104360235A (en) * | 2014-11-19 | 2015-02-18 | 南京工程学院 | Method for positioning voltage sag source of complex power distribution network including DGs |
| CN104537581A (en) * | 2015-01-30 | 2015-04-22 | 福州大学 | Method for positioning temporary voltage drop source on line by adopting fuzzy similarity match |
Non-Patent Citations (1)
| Title |
|---|
| 含光伏电源的配电网故障定位策略研究;张安龙 等;《电测与仪表》;20150825;第52卷(第16期);第123-128页 * |
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