CN104793105A - Power distribution network fault line selection method based on optimal FIR (finite impulse response) filter and hierarchical clustering - Google Patents

Power distribution network fault line selection method based on optimal FIR (finite impulse response) filter and hierarchical clustering Download PDF

Info

Publication number
CN104793105A
CN104793105A CN201510186748.XA CN201510186748A CN104793105A CN 104793105 A CN104793105 A CN 104793105A CN 201510186748 A CN201510186748 A CN 201510186748A CN 104793105 A CN104793105 A CN 104793105A
Authority
CN
China
Prior art keywords
fir filter
line selection
hierarchical clustering
distribution network
selection method
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.)
Pending
Application number
CN201510186748.XA
Other languages
Chinese (zh)
Inventor
陈丽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anqing Normal University
Original Assignee
Anqing Normal University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Anqing Normal University filed Critical Anqing Normal University
Priority to CN201510186748.XA priority Critical patent/CN104793105A/en
Publication of CN104793105A publication Critical patent/CN104793105A/en
Pending legal-status Critical Current

Links

Landscapes

  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a power distribution network fault line selection method based on an optimal FIR (finite impulse response) filter and hierarchical clustering. The power distribution network fault line selection method includes design of the optimal FIR filter, a hierarchical clustering algorithm and a fault line selection method based on the optimal FIR filter and hierarchical clustering; single-phase earth fault line selection in a small current grounding system is achieved according to the hierarchical clustering algorithm by the designed optimal FIR filter. The power distribution network fault line selection method has the advantages that the FIR filter is used for signal processing, data sampling frequency only needs to reach above 6kHz and is lower than sampling frequency required by a wavelet analysis based fault line selection method, and system resource is saved; the clustering algorithm is adopted, fault feeder lines are determined according to pedigree clustering evaluation indexes, and reliability of line selection results is guaranteed; faulty lines can be detected effectively under various fault conditions by the power distribution network fault line selection method, so that the power distribution network fault line selection method has higher reliability than a wavelet algorithm.

Description

Based on the distribution network fault line selection method of optimum FIR filter and hierarchical clustering
Technical field
The present invention relates to high-voltage distribution network Robust filter field, particularly relate to the distribution network fault line selection method based on optimum FIR filter and hierarchical clustering.
Background technology
China's power distribution network many employings small current neutral grounding mode, and during singlephase earth fault one of them.Due to the not direct ground connection of neutral point, the fault paths resistance value that singlephase earth fault is formed is larger, the fault signature caused is not obvious, simultaneously due to problems such as the interference of noise and the impacts of power distribution network operation conditions, study widely for a long time although existing single-phase ground fault line selecting method of small-electric current grounding system have passed through, still Shortcomings in reliability and universality.
Based on the difference of the characteristic quantity of institute's foundation, at present, fault line selection method for single-phase-to-ground fault can be divided into 3 classes: signal injection method, steady-state quantity route selection method and transient route selection method, wherein, signal injection method needs additional signal device, Project Realization is complicated, and steady-state quantity route selection method existing characteristics signal is weak, the insecure problem of route selection result.And larger than steady-state value several times even tens times of the transient characteristic of transient route selection method institute foundation, and not by the impact of arc suppression coil, without the need to adding extra equipment, but, in transient except fault-signal, also mix polymorphic type signal, direct utilization easily causes erroneous judgement, therefore, effective extraction of fault transient feature with make full use of, just become problem demanding prompt solution.Wavelet transformation is as the powerful tool of Time-Frequency Localization, multiresolution analysis, the extraction of single-phase earth fault transient characteristic quantity is widely used in emulation experiment, effectively improve failure line selection reliability, but appoint right Shortcomings: first, feature band is arranged by the principle that energy is maximum, under critical noisy interference or unbalanced power supply running status, the feature band of generation likely not fault transient measure feature frequency band effectively, and then cause erroneous judgement; In addition, feature band is determined based on collection signal analysis, can not know in advance, simultaneously, a large amount of successively Extraction and isolation is carried out to sampled data, multiplying amount is huge, is unfavorable for Project Realization, in addition, according to the qualitative differentiation fault of signal polarity and non-fault line, only rely on artificial judgement, lack quantitative scientific description, can erroneous judgement be caused equally.Therefore, at present, the fault line selection method for single-phase-to-ground fault degree of being practical based on wavelet transformation is not high.
Summary of the invention
The present invention is the frequency characteristic according to fault transient characteristic quantity, devise optimum FIR filter is to extract transient state capacitive zero-sequence current, on this basis, utilize polarity and the amplitude Characteristics determination faulty line of hierarchical clustering algorithm resultant fault signal, be achieved through the following technical solutions:
Based on the distribution network fault line selection method method of estimation of optimum FIR filter and hierarchical clustering, comprise the design of optimum FIR filter, hierarchical clustering method and the fault-line selecting method based on optimum FIR filter and hierarchical clustering, utilize the optimum FIR filter designed, according to hierarchical clustering algorithm, follow following steps, realize single-phase grounding fault line selection in small current grounding:
1) Real-time Collection operation of power networks information, if bus residual voltage exceed certain threshold value, then enter step 2), otherwise, repeat this step;
2) optimum FIR filter is utilized, to the zero-sequence current filtering that each feeder line top collects , n is feeder line number, obtains transient state capacitive zero-sequence current component ;
3) based on , to feeder line classification, n bar circuit, a corresponding n primitive class (i.e. k=n, wherein k is the class number on this cluster level);
4) calculate the distance between arbitrary two classes, obtain individual distance, merges two classes of minor increment reply, forms new cluster level, a corresponding k-1 class;
5) F on this cluster level and puppet is calculated ;
6) make k=k-1, whether inspection k is 1, and namely whether all objects have gathered is a class, if so, then enters step 7); If not, then step 4) is returned;
7) according to pedigree Cluster Assessment index---pseudo-F is with pseudo- there is position in extreme value, determines best cluster number m;
8) if m=2, and wherein a class only comprises a feeder line, then this feeder line is fault feeder, if above-mentioned condition does not meet bus residual voltage be continued above certain threshold value, is then bus-bar fault.
Optimum FIR filter is designed to extract the transient state capacitive zero-sequence current that frequency range is 300 ~ 3000Hz the zero-sequence current collected from feeder line top, optimum FIR Design of Bandpass process comprises 2 steps: 1) FIR filter Order-reduction, frequency range is the low-frequency transition band of 300 ~ 3000Hz, and in conjunction with power distribution network signals collecting frequency =6.4kHz, utilizing and calculating FIR filter minimal order based on Kaiser equation is 500; 2) optimum FIR filter parameter, is converted into optimization problem, namely according to Constraint least square algorithm, solves the FIR filter coefficient that exponent number is 500.
Hierarchical clustering method is as a class using each object, merge 2 classes that infima species spacing on this level is corresponding, afterwards, on new cluster level, repeat above-mentioned class merging process, until it is a class that all objects gather, and form the pedigree chart that represents close and distant relation, finally utilize the Cluster Assessment index on each level, pedigree chart is sheared, determines class number, complete classification, in conjunction with the target of feeder line cluster, determine 2 key definition in hierarchical clustering---the shearing standard of between class distance and pedigree chart.
The good effect that the present invention has is:
Distribution network fault line selection method method of estimation based on optimum FIR filter and hierarchical clustering of the present invention, this method has following features:
1) by optimum FIR filter, filtering is carried out to image data, extract fault characteristic signals effectively;
2) utilize hierarchical clustering method, based on filtered waveform, to feeder line classification, obtain faulty line;
The method restrained effectively the interference of each factor in electrical network actual motion by wave filter, in addition, FIR filter is utilized to carry out signal transacting, data sampling frequency only need reach more than 6kHz, lower than the sample frequency demand of the fault-line selecting method based on wavelet analysis, save system resource, simultaneously, based on clustering algorithm, according to pedigree Cluster Assessment index determination fault feeder, ensure that the reliability of route selection result, the method is under all kinds of fault state, all effectively can detect faulty line, than wavelet algorithm, there is higher confidence level.
Accompanying drawing explanation
Below in conjunction with the embodiment in accompanying drawing, the present invention is described in further detail, but do not form any limitation of the invention.
Fig. 1 is the distribution network fault line selection method flow process based on optimum FIR filter and hierarchical clustering of the present invention.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, based on the distribution network fault line selection method of optimum FIR filter and hierarchical clustering, comprise the design of optimum FIR filter, hierarchical clustering method and the fault-line selecting method based on optimum FIR filter and hierarchical clustering, utilize the optimum FIR filter designed, according to hierarchical clustering algorithm, follow following steps, realize single-phase grounding fault line selection in small current grounding:
1) Real-time Collection operation of power networks information, if bus residual voltage exceed certain threshold value, then enter step 2), otherwise, repeat this step;
2) optimum FIR filter is utilized, to the zero-sequence current filtering that each feeder line top collects , n is feeder line number, obtains transient state capacitive zero-sequence current component ;
3) based on , to feeder line classification, n bar circuit, a corresponding n primitive class (i.e. k=n, wherein k is the class number on this cluster level);
4) calculate the distance between arbitrary two classes, obtain individual distance, merges two classes of minor increment reply, forms new cluster level, a corresponding k-1 class;
5) F on this cluster level and puppet is calculated ;
6) make k=k-1, whether inspection k is 1, and namely whether all objects have gathered is a class, if so, then enters step 7); If not, then step 4) is returned;
7) according to pedigree Cluster Assessment index---pseudo-F is with pseudo- there is position in extreme value, determines best cluster number m;
8) if m=2, and wherein a class only comprises a feeder line, then this feeder line is fault feeder, if above-mentioned condition does not meet bus residual voltage be continued above certain threshold value, is then bus-bar fault.
Optimum FIR filter is designed to extract the transient state capacitive zero-sequence current that frequency range is 300 ~ 3000Hz the zero-sequence current collected from feeder line top, optimum FIR Design of Bandpass process comprises 2 steps: 1) FIR filter Order-reduction, frequency range is the low-frequency transition band of 300 ~ 3000Hz, and in conjunction with power distribution network signals collecting frequency =6.4kHz, utilizing and calculating FIR filter minimal order based on Kaiser equation is 500; 2) optimum FIR filter parameter, is converted into optimization problem, namely according to Constraint least square algorithm, solves the FIR filter coefficient that exponent number is 500.
Hierarchical clustering method is as a class using each object, merge 2 classes that infima species spacing on this level is corresponding, afterwards, on new cluster level, repeat above-mentioned class merging process, until it is a class that all objects gather, and form the pedigree chart that represents close and distant relation, finally utilize the Cluster Assessment index on each level, pedigree chart is sheared, determines class number, complete classification, in conjunction with the target of feeder line cluster, determine 2 key definition in hierarchical clustering---the shearing standard of between class distance and pedigree chart.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.

Claims (3)

1. based on the distribution network fault line selection method of optimum FIR filter and hierarchical clustering, comprise the design of optimum FIR filter, hierarchical clustering method and the fault-line selecting method based on optimum FIR filter and hierarchical clustering, utilize the optimum FIR filter designed, according to hierarchical clustering algorithm, follow following steps, realize single-phase grounding fault line selection in small current grounding:
Real-time Collection operation of power networks information, if bus residual voltage exceed certain threshold value, then enter step 2), otherwise, repeat this step;
Utilize optimum FIR filter, to the zero-sequence current filtering that each feeder line top collects , n is feeder line number, obtains transient state capacitive zero-sequence current component ;
Based on , to feeder line classification, n bar circuit, a corresponding n primitive class (i.e. k=n, wherein k is the class number on this cluster level);
Calculate the distance between arbitrary two classes, obtain individual distance, merges two classes of minor increment reply, forms new cluster level, a corresponding k-1 class;
Calculate the F on this cluster level and puppet ;
Make k=k-1, whether inspection k is 1, and namely whether all objects have gathered is a class, if so, then enters step 7); If not, then step 4) is returned;
According to pedigree Cluster Assessment index---pseudo-F is with pseudo- there is position in extreme value, determines best cluster number m;
If m=2, and wherein a class only comprises a feeder line, then this feeder line is fault feeder, if above-mentioned condition does not meet bus residual voltage be continued above certain threshold value, is then bus-bar fault.
2. the distribution network fault line selection method based on optimum FIR filter and hierarchical clustering according to claim 1, it is characterized in that, optimum FIR filter is designed to extract the transient state capacitive zero-sequence current that frequency range is 300 ~ 3000Hz the zero-sequence current collected from feeder line top, optimum FIR Design of Bandpass process comprises 2 steps: 1) FIR filter Order-reduction, frequency range is the low-frequency transition band of 300 ~ 3000Hz, and in conjunction with power distribution network signals collecting frequency =6.4kHz, utilizing and calculating FIR filter minimal order based on Kaiser equation is 500; 2) optimum FIR filter parameter, is converted into optimization problem, namely according to Constraint least square algorithm, solves the FIR filter coefficient that exponent number is 500.
3. the distribution network fault line selection method based on optimum FIR filter and hierarchical clustering according to claim 1, it is characterized in that, hierarchical clustering method is as a class using each object, merge 2 classes that infima species spacing on this level is corresponding, afterwards, on new cluster level, repeat above-mentioned class merging process, until it is a class that all objects gather, and form the pedigree chart that represents close and distant relation, finally utilize the Cluster Assessment index on each level, pedigree chart is sheared, determine class number, complete classification, in conjunction with the target of feeder line cluster, determine 2 key definition in hierarchical clustering---the shearing standard of between class distance and pedigree chart.
CN201510186748.XA 2015-04-18 2015-04-18 Power distribution network fault line selection method based on optimal FIR (finite impulse response) filter and hierarchical clustering Pending CN104793105A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510186748.XA CN104793105A (en) 2015-04-18 2015-04-18 Power distribution network fault line selection method based on optimal FIR (finite impulse response) filter and hierarchical clustering

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510186748.XA CN104793105A (en) 2015-04-18 2015-04-18 Power distribution network fault line selection method based on optimal FIR (finite impulse response) filter and hierarchical clustering

Publications (1)

Publication Number Publication Date
CN104793105A true CN104793105A (en) 2015-07-22

Family

ID=53558075

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510186748.XA Pending CN104793105A (en) 2015-04-18 2015-04-18 Power distribution network fault line selection method based on optimal FIR (finite impulse response) filter and hierarchical clustering

Country Status (1)

Country Link
CN (1) CN104793105A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108197822A (en) * 2018-01-24 2018-06-22 贵州电网有限责任公司 A kind of distribution network fault line selection adaptability teaching decision-making technique
CN113466617A (en) * 2021-06-24 2021-10-01 西安交通大学 Small current grounding dynamic intelligent line selection method based on distance clustering

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103323747A (en) * 2013-06-27 2013-09-25 国家电网公司 Method for single-phase earth fault line selection of small current grounding system
CN103941162A (en) * 2014-05-12 2014-07-23 福州大学 Resonant earthed system fault line selection method utilizing waveform time domain feature clustering
CN104198882A (en) * 2014-07-01 2014-12-10 昆明理工大学 Same-tower double-loop fault line selection method for performing PCA (Principal Component Analysis) clustering analysis by using instantaneous power curve

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103323747A (en) * 2013-06-27 2013-09-25 国家电网公司 Method for single-phase earth fault line selection of small current grounding system
CN103941162A (en) * 2014-05-12 2014-07-23 福州大学 Resonant earthed system fault line selection method utilizing waveform time domain feature clustering
CN104198882A (en) * 2014-07-01 2014-12-10 昆明理工大学 Same-tower double-loop fault line selection method for performing PCA (Principal Component Analysis) clustering analysis by using instantaneous power curve

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李雅洁等: "基于最优FIR 滤波器与层次聚类的配电网单相接地故障选线方法", 《电网技术》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108197822A (en) * 2018-01-24 2018-06-22 贵州电网有限责任公司 A kind of distribution network fault line selection adaptability teaching decision-making technique
CN108197822B (en) * 2018-01-24 2022-06-21 贵州电网有限责任公司 Power distribution network fault line selection adaptability evaluation decision method
CN113466617A (en) * 2021-06-24 2021-10-01 西安交通大学 Small current grounding dynamic intelligent line selection method based on distance clustering

Similar Documents

Publication Publication Date Title
CN108776284B (en) Single-phase earth fault protection method for small-resistance earth system
CN103675605B (en) A kind of power distribution network earth fault line selection method based on the correlation analysis of fault-signal transient state
CN102135558B (en) Acquisition and hierarchical identification system of overvoltage data and hierarchical pattern identification method of overvoltage types
CN103713237B (en) A kind of power system transmission line short trouble diagnostic method
CN103323747B (en) A kind of fault line selection method for single-phase-to-ground fault of small current neutral grounding system
CN105242176B (en) A kind of low current neutral grounding system fault localization method for being suitable for monitoring branched line
CN104237731B (en) Single-phase earth fault line selection method on basis of EEMD (ensemble empirical mode decomposition) and energy method for resonance earthed power distribution network
CN105974264B (en) A kind of fault-line selecting method based on phase current transient characteristic
CN104166067A (en) Single-phase earth fault positioning detection method and device
CN106405285B (en) A kind of Power System Fault Record data mutation moment detection method and system
CN103941163A (en) Resonant earthed system fault line selection method utilizing fuzzy K-means clustering
CN103018632B (en) Small current grounding system single-phase ground fault line selection method based on fisher information
CN105510760B (en) A kind of short trouble data detection method based on wavelet analysis
CN104614638A (en) Grounding line selection method for small current system
CN102135591A (en) Resonant grounding power grid single-phase ground fault db wavelet transient component line selection method
CN103364684B (en) Fault line selection method based on wavelet analysis
CN106646130B (en) A kind of active distribution network Fault Locating Method compared based on current polarity and system
CN105954640A (en) Power distribution network fault line selection method based on dominant frequency zero sequence power
CN104297628A (en) Method for detecting and positioning section faults of power distribution network containing DGs (distributed generators)
CN108267673B (en) Distribution network fault line selection big data dimension reduction method and device
CN104977499A (en) Small current grounding system single-phase grounding fault line selection method
CN105223467B (en) Based on the distribution network fault line selection method that fractal dimension calculation and mallat decompose
CN103427405A (en) Differential protection method on basis of high-order cumulants for power transmission line
CN113300343B (en) Flexible direct-current power grid fault line identification method based on cosine similarity
CN104062555B (en) The discrimination method of distribution line high resistance earthing fault characteristic harmonics

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
EXSB Decision made by sipo to initiate substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20150722