CN109239523A - Based on the active power distribution network Fault Locating Method for improving Karrenbauer transformation - Google Patents
Based on the active power distribution network Fault Locating Method for improving Karrenbauer transformation Download PDFInfo
- Publication number
- CN109239523A CN109239523A CN201810773762.3A CN201810773762A CN109239523A CN 109239523 A CN109239523 A CN 109239523A CN 201810773762 A CN201810773762 A CN 201810773762A CN 109239523 A CN109239523 A CN 109239523A
- Authority
- CN
- China
- Prior art keywords
- matrix
- fault
- distribution network
- section
- karrenbauer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000009466 transformation Effects 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 22
- 239000011159 matrix material Substances 0.000 claims abstract description 68
- 238000012545 processing Methods 0.000 claims abstract description 7
- 230000009471 action Effects 0.000 claims description 2
- 238000004891 communication Methods 0.000 claims description 2
- 230000001131 transforming effect Effects 0.000 claims 1
- 230000007704 transition Effects 0.000 description 15
- 230000006872 improvement Effects 0.000 description 7
- 238000000354 decomposition reaction Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 150000001875 compounds Chemical group 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000011426 transformation method Methods 0.000 description 1
- 230000017105 transposition Effects 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Classifications
-
- 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
-
- 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
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Locating Faults (AREA)
Abstract
本发明涉及一种基于改进Karrenbauer变换的有源配电网故障定位方法，包括：控制中心获取有源配电网阻抗矩阵，先用标准Karrenbauer变换矩阵对阻抗矩阵对角化处理，得到初步变换矩阵，再计算改进Karrenbauer变换矩阵；将有源配电网划分为若干个区段，利用改进Karrenbauer变换矩阵变换得到α、β、0模电流；本地数据处理装置计算区段α模故障附加电流相角差并发送给控制中心，生成实时的系统状态信息矩阵；控制中心判断各区段是否发生故障。
The invention relates to an active distribution network fault location method based on improved Karrenbauer transformation. , and then calculate the improved Karrenbauer transformation matrix; divide the active distribution network into several sections, and use the improved Karrenbauer transformation matrix to transform the α, β, 0 mode currents; the local data processing device calculates the section α mode fault additional current phase angle The difference is sent to the control center to generate a real-time system status information matrix; the control center judges whether each section fails.
Description
Technical field
The technical field of the invention is the fault location of the active power distribution network containing distributed generation resource, in particular to one kind can
Consider distribution network line parameter unbalance characteristic, realizes active power distribution network fault location based on Karrenbauer transformation is improved
New method.
Background technique
Under the growing tension of world's non-renewable energy, the more serious background of energy-saving and emission-reduction problem, distributed power generation
(Distribution Generation, DG) technology has obtained the common concern of people with its exclusive economy and the feature of environmental protection.
Distributed generation technology refer on the basis of bulk power grid power supply capacity of AM access module formula, cleanliness without any pollution compared with
Small generating set, is typically mounted near user, such as wind-driven generator, photovoltaic cell, fuel cell.After DG is grid-connected, match
Power grid is changed into both ends/multiterminal electric power network from traditional radial single ended power supply supply network.Traditional fault location strategy
It is mostly based on the unidirectional characteristics of tidal flow of radial distribution networks, the access of DG changes the structure of power distribution network, the distribution of short circuit current
Also huge variation occurs, this just inevitably will affect fault location result.In addition, low and medium voltage distribution network is because no longer adopt
Three-phase transposition measure is taken, causes power distribution network three-phase line parameter unbalance, which increases the accurate positionins of active power distribution network failure
Difficulty.
Currently, the asymmetry of distribution network line parameter is ignored in the research in relation to the distribution network failure positioning containing DG mostly,
Dissymmetric network is directly considered as symmetrical network to handle；And it much studies and does not thoroughly discuss fault point transition resistance
In the presence of the influence to positioning, which limits the practicabilities of fault location scheme.In addition, some electrical power distribution network fault location methods,
Such as matrix algorithm and intelligent algorithm, that there is also fault location times is longer, can not realize the problem of fault section location rapidly.
Summary of the invention
After accessing DG for power distribution network, the decline of conventional failure locating scheme positional accuracy, low efficiency and power distribution network three
The asymmetric problem of phase parameter, the present invention propose a kind of based on the active power distribution network fault location for improving Karrenbauer transformation
New method.It the characteristics of feature and fault current of foundation active power distribution network parameter matrix, searches out and is suitable for the distribution that do not replace
The phase-model transformation method and fault location criterion of net three-phase network high-precision decoupling, realize the quick essence to the active power distribution network containing DG
True fault location.Technical solution is as follows:
A kind of active power distribution network Fault Locating Method based on improvement Karrenbauer transformation, including the following steps:
(1) control centre obtains shown in the form such as formula (1) of active power distribution network impedance matrix Z, Z, first uses standard
Karrenbauer transformation matrix does diagonalization processing to impedance matrix, obtains preliminary transformation matrix Y:
Y=K-1ZK (2)
To preliminary transformation matrix Y amendment Karrenbauer matrix K2Diagonalization processing is done, the diagonal of degree of precision is obtained
Change matrix λ:
λ=(K2)-1YK2=(KK2)-1Z(KK2) (3)
Wherein:
Enable S=KK2, S is to improve Karrenbauer transformation matrix；
(2) active power distribution network is divided into several sections, and the node of each section and its both ends is marked respectively
Number, the three-phase current at each two end node of section of protection device synchronous acquisition and progress at each two end node of section
Filtering processing recycles improvement Karrenbauer transformation matrix to convert to obtain α, β, 0 mould electric current；
(3) local data processing unit calculates its failure extra current after taking section both ends α mould electric currentWith quick
Fourier transformation obtains section both ends α mould failure extra current phase angle theta1(i)、θ1(j), calculation of sector α mould failure extra current phase
Angular difference:
Δθ1(i, j)=θ1(i)-θ1(j)
Gained Δ θ1(i, j) data are sent to control centre by communication, and control centre receives and stores Δ θ1(i, j), it is raw
At real-time system status information matrix；
(4) the break down threshold value δ of differentiation of control centre's section takes 7.5 °~8 °, judges first in system status information matrix
Whether element value is greater than threshold value, if certain element is lower than this threshold value, illustrates that the section does not break down；If certain element is greater than the threshold
Value, then differentiate that the section breaks down；
(5) control centre is detecting and is carrying out troubleshooting after positioning failure immediately, the protection to fault section both ends
Device sending action signal, isolated fault.
Compared with prior art, this programme proposes a kind of base on the basis of fully considering distributed generation resource access
In improve Karrenbauer transformation active power distribution network fault location new method, reach it is following the utility model has the advantages that
(1) the characteristics of being directed to distribution network line parameter unbalance, based on the phase-model transformation side for improving Karrenbauer transformation
The high-precision decoupling of dissymmetric network has may be implemented in method.The transform method calculating process is simple, calculation amount is smaller, decoupling precision
It is higher.
(2) on the basis of dissymmetric network high-precision decouples, active power distribution network section fault orientation criterion is derived.This
Criterion by transition Resistance Influence, does not meet distribution network parameters actual features, and active power distribution network may be implemented and position rapidly, without adding
Directional element is filled, there is higher reliability.
Detailed description of the invention
The equivalent decomposition circuit of Fig. 1 α mould compound sequence network, (a) α mould normal condition；(b) α mould failure additivity
Fig. 2 active power distribution network Fault Locating Method schematic diagram
Fig. 3 power distribution network analogue system figure
Specific embodiment
For the asymmetric actual conditions of power distribution network triphase parameter containing distributed generation resource, the invention proposes based on improvement
The active power distribution network fault location new method of Karrenbauer transformation.Power distribution network is first depending on because of line parameter circuit value caused by not replacing
It is asymmetric but have the characteristics that parameter impedance matrix central symmetry, to distribution network line impedance matrix progress standard
Karrenbauer is converted to increase the sparsity of matrix, provides premise for accurate decomposition；Further preliminary transformation matrix is done
Diagonalization is handled to obtain Karrenbauer correction matrix, is decoupled to obtain the achievable power distribution network three-phase high-precision that do not replace
Phase mode transformation matrix, i.e., improvement Karrenbauer matrix.On the basis of three-phase network high-precision decouples, pass through theory point
α mould failure extra current component phase angle difference after active power distribution network three-phase decouples is analysed, deriving not is had by transition Resistance Influence
The criterion of source power distribution network section fault positioning, is realized to the accurate fault location containing distributed power distribution network.The scheme packet
Include following steps:
1, the improvement Karrenbauer transformation of dissymmetric network accurate decomposition is realized
Actual low and medium voltage distribution network three-phase conducting wire is often in horizontally or vertically to arrange, the no longer complete phase of distance between three-phase
Deng this also results in the asymmetry of system line parameter.Analysis finds that the spread pattern of low and medium voltage distribution network conducting wire makes route
Impedance matrix is centrosymmetric the form of battle array:
Because of line parameter circuit value asymmetry caused by not replacing but have the characteristics that parameter impedance matrix central symmetry for power distribution network,
Impedance matrix is subjected to standard K arrenbauer transformation to increase the sparsity of matrix, provides premise for accurate decomposition；Herein
On the basis of, further diagonalization processing is done to obtain correction matrix to preliminary transformation matrix, and then obtain can be achieved not replace to match
The phase mode transformation matrix of power grid three-phase high-precision decoupling, i.e. improvement Karrenbauer matrix.
(1) standard K arrenbauer is converted
Known Karrenbauer transformation matrix is as follows:
For mathematically, the Uncoupled procedure of impedance matrix, that is, seek phase mode transformation matrix S and realize Z pairs of impedance matrix
The process of angling is S with formulae express-1ZS=λ.Impedance matrix Z is carried out using standard K arrenbauer transformation matrix preliminary
Transformation can obtain:
As it can be seen that for the low and medium voltage distribution network line impedance matrix as shown in formula (1), passing through for form
Karrenbauer transformation, the degree of coupling between α mold component and β mold component obtains to weaken to a certain extent.This degree of coupling
Reduction will further decrease the complexity of Z decoupling, be advantageously implemented the high-precision decoupling to impedance matrix Z.
(2) Karrenbauer transformation is improved
By formula (3) it is found that the decoupling to finally realize matrix Z, need to only realize matrix Y and decouple, that is to say, that warp
It crosses after Karrenbauer tentatively converts, the decoupling problem of Z can be further converted to the decoupling problem of Y: seek phase mode transformation matrix
K2Realize the diagonalization of matrix Y.Mathematical expression is as follows:
(K2)-1YK2=λ (5)
To modulus transformation matrix K2, start with first from solution eigenvalue λ:
Characteristic value can be acquired by formula (6):
In this way, the phase mode transformation matrix of Y are as follows:
In summary transformation twice, available:
Therefore, impedance matrix Z has just obtained the diagonalization of degree of precision by above-mentioned transformation.New phase mode transformation matrix are
S=KK2, K2It can be regarded as the amendment to original Karrenbauer transformation matrix, referred to as amendment Karrenbauer matrix.
New phase mode transformation matrix S=KK2Referred to as improve Karrenbauer transformation matrix.
2, based on the power distribution network section fault orientation criterion for improving Karrenbauer transformation
(1) when internal fault α mould network failure extra current phase angle difference
By principle of stacking it is found that the equivalent sequence diagrams of α mould can be decomposed into normal condition and failure additivity two parts, point
Not as shown in Fig. 1 (a), (b), wherein the reference direction and normal current of regulation failure extra currentDirection it is identical.
It can be with calculation of sector both ends failure extra current according to Fig. 1 (b) are as follows:
In formula:
Because the parameter of route is equally distributed, lumped parameter along routeIt can be expressed as Form, Z indicate the impedance of route unit length.Substituting into formula (11) final finishing can obtain:
It can deduce the phase angle difference of failure extra current are as follows:
According to formula (13) it is found that for α lay wire network, when troubles inside the sample space occurs, the phase angle of failure extra current
Difference is 180 °.
(2) when external fault α mould network failure extra current phase angle difference
When breaking down outside section, the section first, last both ends are identical by electric current, so α mould failure is additional at this time
The phase angle difference of electric current is 0 °.
Comprehensive front analysis is it is found that the phase angle difference of α mould failure extra current is 180 ° when intra-segment breaks down；
When breaking down outside section, the phase angle difference of α mould failure extra current is 0 °.
In view of measurement error that may be present and the calculating error of phase-model transformation in practice, to be set for failure criterion
One threshold value δ just assert that the section breaks down when fault component current phase angle difference is greater than the threshold value.Meter and Current Mutual Inductance
The angle error of device, general load are selected by 10% error curve, are thought of as 7 °；Calculating error can consider by 0.5 °~1 °.Institute
7.5 °~8 ° are generally taken with the threshold value of criterion.
Therefore, shown in active power distribution network fault location criterion such as formula (14):
3, influence of the transition resistance to fault location
The metallicity failure that power distribution network occurs is seldom, and short dot has transition resistance mostly.For the network after phase-model transformation
For, what transition resistance influenced is additional impedance.So transition resistance for α mould, can only change the value of additional impedance.By
Formula (13) is it is found that Δ θ1(i, j)=arg (- k2/k1), it is unrelated with transition resistance.So being based on α mould failure extra current phase angle
The failure criterion of difference is not influenced by transition resistance.
In order to verify the validity of proposed fault location strategy herein, asymmetrical three-phase active power distribution network is chosen herein and is calculated
Example, as shown in Figure 3.Corresponding simulation model has been built in Matlab/Simulink.
Line impedance matrix are as follows:
(1) impedance matrix decouples
Impedance matrix is decoupled using symmetrical component method, as a result as follows:
Impedance matrix is decoupled using Karrenbauer transformation is improved, as a result as follows:
Compare above two decoupling as a result, it has been found that: for parameter unbalance matrix, symmetrical component method weakens coupling journey
The ability of degree is smaller, and mentions improve the impedance matrix decoupling that Karrenbauer transformation is then able to achieve degree of precision herein.
(2) fault location emulates
Table 1 is mentions the Fault Locating Method based on improvement Karrenbauer transformation according to this paper, in different sections, no
With the simulation scenarios in the case of transition resistance.Comparison whether exists it is found that when different types of faults occur for different sections
Transition resistance, mentioned Fault Locating Method can realize accurate fault section location herein.
Table 1 is based on the fault location result for improving Karrenbauer transformation
When transition resistance value difference, when section 3 breaks down, the section is based on the α for improving Karrenbauer transformation
The value of modal transformation based on fault component current phase angle difference is as shown in table 2.As seen from table, when transition resistance difference, fault component phase angle difference
It is worth identical, the presence of transition resistance and value have no influence to mentioned Fault Locating Method herein, with front theoretical analysis result
Unanimously.
Fault component current phase angle difference (unit/0) when 2 difference transition resistance of table
Claims (1)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810773762.3A CN109239523B (en) | 2018-07-15 | 2018-07-15 | Active power distribution network fault positioning method based on improved Karrenbauer transformation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810773762.3A CN109239523B (en) | 2018-07-15 | 2018-07-15 | Active power distribution network fault positioning method based on improved Karrenbauer transformation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109239523A true CN109239523A (en) | 2019-01-18 |
| CN109239523B CN109239523B (en) | 2020-03-24 |
Family
ID=65072675
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810773762.3A Expired - Fee Related CN109239523B (en) | 2018-07-15 | 2018-07-15 | Active power distribution network fault positioning method based on improved Karrenbauer transformation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109239523B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110456133A (en) * | 2019-08-27 | 2019-11-15 | 河海大学 | Method for Determining Cable Parameters Based on Phase-Mode Transformation |
| CN112180165A (en) * | 2020-09-17 | 2021-01-05 | 国网湖南省电力有限公司供电服务中心（计量中心） | Low-voltage power supply line impedance measuring and calculating method based on intelligent meter and terminal operation data |
| CN113009276A (en) * | 2021-03-04 | 2021-06-22 | 国网宁夏电力有限公司电力科学研究院 | Intelligent power distribution network fault positioning method based on impedance matrix |
| US11539217B2 (en) | 2019-10-28 | 2022-12-27 | Enphase Energy, Inc. | Method and apparatus for tertiary control of microgrids with integrated over-current protection |
| CN116359674A (en) * | 2023-06-01 | 2023-06-30 | 昆明理工大学 | Active power distribution network fault positioning method and system based on fault transient signals |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101299538A (en) * | 2008-04-08 | 2008-11-05 | 昆明理工大学 | Cable-aerial mixed line fault travelling wave ranging method |
| US7969155B2 (en) * | 2007-07-03 | 2011-06-28 | Thomas & Betts International, Inc. | Directional fault current indicator |
| CN103809079A (en) * | 2014-02-17 | 2014-05-21 | 华北电力大学 | Double-end high frequency impedance type fault ranging method suitable for direct current distribution network |
| CN104267271A (en) * | 2014-08-27 | 2015-01-07 | 华北电力大学 | Circuit and method for quickly obtaining dynamic parameters of power electronic device |
| CN105826907A (en) * | 2016-05-11 | 2016-08-03 | 天津大学 | Three-phase permanent fault judgment method for hybrid power transmission line with shunt reactors |
| CN104297629B (en) * | 2014-08-19 | 2017-09-12 | 中国科学院电工研究所 | The section fault detection of power distribution network containing distributed power source and localization method |
| CN107329045A (en) * | 2017-07-14 | 2017-11-07 | 国网上海市电力公司 | Distribution Network Failure least square location algorithm |
| CN107505534A (en) * | 2017-07-14 | 2017-12-22 | 国网上海市电力公司 | Distribution Network Failure genetic search localization method |
| CN107870287A (en) * | 2017-11-08 | 2018-04-03 | 云南电力试验研究院(集团)有限公司 | A kind of localization method of distribution network failure |
-
2018
- 2018-07-15 CN CN201810773762.3A patent/CN109239523B/en not_active Expired - Fee Related
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7969155B2 (en) * | 2007-07-03 | 2011-06-28 | Thomas & Betts International, Inc. | Directional fault current indicator |
| CN101299538A (en) * | 2008-04-08 | 2008-11-05 | 昆明理工大学 | Cable-aerial mixed line fault travelling wave ranging method |
| CN103809079A (en) * | 2014-02-17 | 2014-05-21 | 华北电力大学 | Double-end high frequency impedance type fault ranging method suitable for direct current distribution network |
| CN104297629B (en) * | 2014-08-19 | 2017-09-12 | 中国科学院电工研究所 | The section fault detection of power distribution network containing distributed power source and localization method |
| CN104267271A (en) * | 2014-08-27 | 2015-01-07 | 华北电力大学 | Circuit and method for quickly obtaining dynamic parameters of power electronic device |
| CN105826907A (en) * | 2016-05-11 | 2016-08-03 | 天津大学 | Three-phase permanent fault judgment method for hybrid power transmission line with shunt reactors |
| CN107329045A (en) * | 2017-07-14 | 2017-11-07 | 国网上海市电力公司 | Distribution Network Failure least square location algorithm |
| CN107505534A (en) * | 2017-07-14 | 2017-12-22 | 国网上海市电力公司 | Distribution Network Failure genetic search localization method |
| CN107870287A (en) * | 2017-11-08 | 2018-04-03 | 云南电力试验研究院(集团)有限公司 | A kind of localization method of distribution network failure |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110456133A (en) * | 2019-08-27 | 2019-11-15 | 河海大学 | Method for Determining Cable Parameters Based on Phase-Mode Transformation |
| CN110456133B (en) * | 2019-08-27 | 2021-11-09 | 河海大学 | Cable parameter determination method based on phase-mode transformation |
| US11539217B2 (en) | 2019-10-28 | 2022-12-27 | Enphase Energy, Inc. | Method and apparatus for tertiary control of microgrids with integrated over-current protection |
| CN112180165A (en) * | 2020-09-17 | 2021-01-05 | 国网湖南省电力有限公司供电服务中心（计量中心） | Low-voltage power supply line impedance measuring and calculating method based on intelligent meter and terminal operation data |
| CN113009276A (en) * | 2021-03-04 | 2021-06-22 | 国网宁夏电力有限公司电力科学研究院 | Intelligent power distribution network fault positioning method based on impedance matrix |
| CN116359674A (en) * | 2023-06-01 | 2023-06-30 | 昆明理工大学 | Active power distribution network fault positioning method and system based on fault transient signals |
| CN116359674B (en) * | 2023-06-01 | 2023-09-12 | 昆明理工大学 | Active power distribution network fault positioning method and system based on fault transient signals |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109239523B (en) | 2020-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109239523A (en) | Based on the active power distribution network Fault Locating Method for improving Karrenbauer transformation | |
| CN105759173B (en) | The adaptive failure Section Location of power distribution network containing distributed generation resource | |
| CN106953317B (en) | The discrimination method of secondary/supersynchronous coupled impedance (admittance) model of power equipment | |
| CN102403721B (en) | Method for adjusting super real-time coincidence time sequence based on transient power angle stability margin | |
| CN106130039A (en) | Dominant instability mode identification method and system of power system | |
| CN114966323B (en) | Fault identification method and system based on full-time domain mutation information | |
| CN107843810A (en) | A kind of active power distribution network fault section tuning on-line method based on state estimation | |
| CN110927519B (en) | Active power distribution network fault positioning method based on mu PMU measurement value | |
| CN109245044B (en) | A Method for Equivalent Sequence Impedance Pilot Protection of Distribution Network | |
| CN106383947B (en) | The fast acquiring method of wind power plant current collection network dynamic equivalent parameters | |
| CN106169115B (en) | A method for estimating the lowest frequency of power grids in two regions by analytical-numerical method | |
| CN107104421A (en) | A kind of voltage longitudinal protection method of distribution network comprising inverse distributed power | |
| CN109586337A (en) | VSC grid-connected system sub-synchronous oscillation methods of risk assessment based on Modeling In Frequency Domain | |
| CN107147317A (en) | A Parallel Control Method of Inverters Based on RC Virtual Impedance | |
| CN103955594A (en) | Dynamic equivalence method of electric power system | |
| CN105243230A (en) | Equivalent modeling method for direct-drive wind farm of considering off-load circuit | |
| CN111262238B (en) | Machine learning-based method for predicting short-circuit current of power distribution network containing IIDG | |
| CN112072651A (en) | Transient voltage instability and power angle instability identification method based on transient energy function | |
| CN114626959B (en) | A robust state estimation method for distribution network based on second-order cone programming considering multi-source measurements | |
| CN105305392B (en) | Short circuit calculation symmetrical component method suitable for the type IIDG power distribution network of control containing voltage | |
| CN110165644A (en) | A kind of new energy station longitudinal protection method based on transient current time-frequency characteristic | |
| CN114325243A (en) | Fault judgment method of distribution network in oilfield well site based on line voltage amplitude variation | |
| Tao et al. | Transient stability analysis of AC/DC system considering electromagnetic transient model | |
| CN104062501B (en) | Double-transformer substation harmonic wave state estimation method | |
| CN108539737A (en) | A kind of power system dynamic equivalence optimization method of Practical |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200324 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |