CN107091972B - A kind of active power distribution network Fault Locating Method based on improvement population - Google Patents
A kind of active power distribution network Fault Locating Method based on improvement population Download PDFInfo
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- CN107091972B CN107091972B CN201710541400.7A CN201710541400A CN107091972B CN 107091972 B CN107091972 B CN 107091972B CN 201710541400 A CN201710541400 A CN 201710541400A CN 107091972 B CN107091972 B CN 107091972B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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Abstract
The invention discloses a kind of based on the active power distribution network Fault Locating Method for improving population, and specifically include two parts: offline area divides and online fault location；Wherein, offline area division includes the following steps: that (1) according to having measuring equipment formation network topology structure in distribution, carries out distribution web area static division in terms of economy, reliability and risk three；(2) consider DG access, establish the distribution regional dynamics adjustment that new evaluation index carries out DG access；Online fault location includes the following steps: that (1) carries out redundancy processing according to the fault message at the node of zone boundary, rejects inactive area；(2) to treated, fault message carries out variable optimization；(3) failure positioning of overall importance is realized using improvement particle swarm algorithm；The present invention realizes the positioning of fault zone using region division and improvement particle swarm algorithm, can efficiently, accurately solve the distribution network failure orientation problem containing distributed generation resource.
Description
Technical field
The present invention relates to the Fault Locating Method of active power distribution network more particularly to it is a kind of based on improve the active of population match
Electric network fault localization method.
Background technique
China's transmission line fault location technology has made substantial progress at present, and locating effect is preferable, but distributed electrical
The access in source (DG), makes power distribution network become the network of a to and fro flow of power, and the characteristic of fault current also occurs very big
Variation will cause original distribution network failure locating scheme and the problems such as fault recovery technology does not adapt to.Simultaneously because measuring
The missing of device, fault message is not complete and aberration problems, especially after distributed generation resource access the distortion of bring fault message and
Missing, brings great challenge to the fault location of active power distribution network, in order to accurate in the case where distributed generation resource accesses
Carry out distribution network failure positioning, it is necessary to study new Fault Locating Method, be brought to eliminate distributed generation resource access power distribution network
Influence.
Summary of the invention
Goal of the invention: largely accessing power distribution network for current distributed generation resource, leads to conventional electrical distribution line fault positioning side
Method is no longer desirable for the problem of electric network fault zone location at this stage, and the object of the present invention is to provide one kind to eliminate distribution
Plant-grid connection influences, realizes the active power distribution network Fault Locating Method based on improvement population of fast accurate fault location.
Technical solution: it is a kind of based on the active power distribution network Fault Locating Method for improving population, include the following steps:
(1) offline area divides；The offline area division comprises the following specific steps that:
(1.1) according to having measuring equipment formation network topology structure in distribution, using comprehensive point of gray relative analysis method
Analysis carries out distribution web area static division according to the evaluation index that three economy, reliability and risk aspects are established；
(1.2) it is directed to the access of distributed generation resource, using factor analysis method analysis distribution formula power supply to each evaluation index
Influence, establish new evaluation index, carry out the distribution regional dynamics adjustment of distributed generation resource access；
(2) online fault location；The online fault location comprises the following specific steps that:
(2.1) redundancy processing is carried out according to the fault message at the node of zone boundary, if treatment principle is that region is sentenced
It is not flowed through without fault current, rejects inactive area；
(2.2) to treated, fault message carries out encoding variable optimization；
(2.3) failure positioning of overall importance is realized using the improvement particle swarm algorithm optimized based on tabu search algorithm:
Step (2.3.1): reading each zone boundary node failure information according to region division result, determines solution dimension；
Step (2.3.2): determining population scale m, maximum number of iterations n and particle group parameters, at the beginning of carrying out population
Beginningization；
Step (2.3.3): calculating the fitness of particle, brings particle position into evaluation function, calculates fitness value；
Step (2.3.4): speed and the position of population are updated by iterative calculation；
Step (2.3.5): setting special pardon rule and taboo list coordinate particle swarm algorithm local solution and global solution；
Step (2.3.6): step (2.3.4), (2.3.5) are repeated until realizing failure Global localization.
In the step (1.1), the economy refer to meet region it is considerable in the case where guarantee to need measurement to be mounted
Device is as few as possible, using economic index EsetIt measures, the EsetValue depend on needing measuring equipment to be mounted
It spends.
In addition, the index that the economy divides further includes node failure relevance index Re, the ReValue depend on
Its circuitry number connected.
In step (1.1), the reliability, which refers to, is monitored the load in each region after meeting region division, and
Establish load important level index:
Wherein: piIndicate that the importance rate of load i, N indicate that load number all in some region, m indicate that region is drawn
The number of regions divided.
Load important level index in described each region is uniform, that is, guarantees the total load important level phase of each region
Difference less, with divide after each region load important level index difference sumTo measure mark
Standard, the EPIt should be as close as in zero.
In step (1.1), the risk refers to that each region internal loading failure risk is established after meeting region division to be referred to
Mark:
Wherein: riIndicate a possibility that breaking down of load i, N indicates load number all in some region, the ri
It is calculated by historical data.
Load failure risk index in described each region is uniform, that is, guarantees the total load failure risk phase of each region
Difference less, with divide after each region load failure risk index difference sumTo measure
Standard, the ERIt should be as close as in zero.
In the step (1.2) further include: it is expected power P using distributed generation resourceDGevIt is assessed to each evaluation index
Influence, carry out region division dynamic and adjust, it is contemplated that the fluctuation of new energy, the distributed generation resource it is expected power PDGev's
Value depends on the generated power forecasting model of distributed energy long time scale, the long time scale model include the winter it is big,
Winter is small, winter waist, Xia great, summer are small, summer waist.
, it is specified that being positive direction by the fault current direction that system power supply provides in step (2.2), after failure occurs, Ij
=1 indicates that the switch flows through positive direction fault current；Ij=-1 indicates that the switch flows through negative direction fault current；Ij=0 indicates do not have
Faulty electric current.
Using special pardon rule and taboo list the optimization population optimizing path of TABU search to high failure risk and important negative
Lotus is preferentially positioned, and when in the case that particle swarm algorithm falls into local optimum, taboo list is arranged to jump out local optimum
Solution, generates new RANDOM SOLUTION.
The utility model has the advantages that compared to the prior art, the present invention has following significant advantage: 1, establishing distribution network failure positioning
On the basis of mathematical model, establish load important level index and load failure risk index, to high failure risk load and
Important load carries out emphasis monitoring, ensure that the electricity consumption reliability of high failure risk load and important load；2, it is drawn using static state
Divide with dynamically adjusting the region partitioning method combined, iteration optimization division result guarantees the accuracy of fault location；3, consider
Measuring equipment is unable to whole network covering, and using the locating scheme based on region division, utilization fault message as few as possible is most
It can accurately positioning failure；4, using the particle swarm algorithm optimized based on TABU search, particle swarm algorithm part can be coordinated
Solution and global solution simultaneously improve its convergence, position rapid and accurate.
Detailed description of the invention
Fig. 1 is method flow schematic diagram of the invention；
Fig. 2 is of the invention based on the fault location flow chart for improving particle swarm algorithm；
Fig. 3 is the power distribution network topological model figure in an example of the invention.
Specific embodiment
Technical solution of the present invention is described further with reference to the accompanying drawing.
Of the invention is a kind of based on the active power distribution network Fault Locating Method for improving population, mainly includes offline area
It divides and two parts of online fault location.
Firstly, offline area division includes:
(1) according to having measuring equipment formation network topology structure in distribution, from economy, reliability and risk three
Aspect establishes evaluation index, carries out distribution web area static division:
Wherein, economy refer to meet region it is considerable in the case where guarantee that measuring equipment to be mounted is needed to the greatest extent may be used as far as possible
Can be few, i.e. guarantee EsetIt is as small as possible；In addition, economy Classification Index further includes node failure relevance index Re, the event of node
Barrier relevance is higher, and the node is more as the fault message that measuring point is able to reflect, and gets over energy as installation site is measured
Guarantee EsetReduction；Node failure relevance index ReValue depend on its connection circuitry number, i.e. Re1=1,2,3,
4,…。
Reliability refers to meet region division after load in each region, especially important load timely monitored,
Establish load important level index:
In formula: piIndicate that the importance rate of load i, N indicate that load number all in some region, m indicate that region is drawn
The number of regions divided；
It should ensure that the load importance in each region is as uniform as possible, i.e.,As far as possible
It is small.
Risk refers to meet region division after load risk in each region it is as average as possible, that is, establish load failure
Risk indicator:
In formula: riIt indicates a possibility that breaking down of load i (being obtained according to historical data)；N is indicated in some region
All load numbers.
It should ensure that the load failure risk in each region is as uniform as possible, i.e.,To the greatest extent
It may be small.
Comprehensive evaluation analysis is carried out to each evaluation index using gray relative analysis method.
(2) consider distributed generation resource (DG) access, power P it is expected using DGDGevInfluence to each evaluation index uses
New evaluation index is established in influence of the factor analysis method analysis distribution formula power supply to each evaluation index, carries out matching for DG access
Web area dynamic adjusts；It is additionally contemplates that the fluctuation of new energy simultaneously, establishes the generated output of distributed energy long time scale
Prediction model, the long time scale model include that the winter is big, the winter is small, winter waist, Xia great, summer are small, summer waist.
Secondly, online fault location step includes:
(1) redundancy processing is carried out according to the fault message at the node of zone boundary, rejects inactive area；Specially sentence
The region that do not flow through without fault current, is rejected, and solution dimension is reduced.
(2) to treated, fault message carries out encoding variable optimization；The fault current side provided by system power supply is provided
To for positive direction, after failure occurs, IjIt may be there are three types of situation: Ij=1 indicates that the switch flows through positive direction fault current.Ij
=-1 indicates that the switch flows through negative direction fault current, Ij=0 indicates no fault current.
(3) failure positioning of overall importance is realized using the improvement particle swarm algorithm optimized based on tabu search algorithm；Utilize taboo
Avoid special pardon rule and the taboo list optimization population optimizing path of search, it is preferentially fixed to carry out to high failure risk and important load
Search refinement is realized in position；When in the case that particle swarm algorithm falls into local optimum, taboo list is set to jump out local optimum
Solution, generates new RANDOM SOLUTION.
It is specifically included using particle swarm algorithm progress fault location algorithm process is improved:
Step (3.1): reading each zone boundary node failure information according to region division result, determines solution dimension；
Step (3.2): determining population scale m, maximum number of iterations n and particle group parameters, and it is initial to carry out population
Change；
Step (3.3): calculating the fitness of particle, brings particle position into evaluation function, calculates fitness value；
Step (3.4): speed and the position of population are updated by iterative calculation；
Step (3.5): setting special pardon rule and taboo list coordinate particle swarm algorithm local solution and global solution；
Step (3.6): step (3.4), (3.5) are repeated until realizing failure Global localization.
It is somewhere power distribution network topological model figure such as Fig. 3, which includes 33 switches, four distributions of access in figure
Formula power supply, respectively 11,18,22,27, upper switch is all the breaker of DG access power distribution network, remaining node is that segmentation is opened
It closes；This system shares 33 sections, and number is L1 to L33, and load is important load at node 3 and 10.
Assuming that breaking down on route L5, the process for carrying out fault location to it according to the present invention is as follows:
Offline area divides: the evaluation of each node is established according to distribution network node load data and historical failure data
Then index carries out region division, before DG is access, the result of region static division are as follows: region 1- (0,1,2), region 2-
(2,3,4), region 3- (4,5,6,7,8,9), region 4- (9,10,11,12,13,14), region 5- (2,15,16,17,18),
Region 6- (2,19,20,21,22,23,24,32,31,30), region 7- (4,25,26,27,28,29), installs measuring equipment
Distribution node is (2,4,9)；After DG access, changes to subregion is returned after subregion progress dynamic adjustment, is mainly manifested in:
Region 4- (9,10,11,12,13,14) becomes region 4- (9,10,11), region 8- (11,12,13,14)；Region 6- (2,19,
20,21,22,23,24,32,31,30) become region 6- (2,19,20,21,22), region 9- (22,23,24,32,31,30)；
Region 7- (4,25,26,27,28,29) subregion becomes region 7- (4,25,26,27), region 10- (27,28,29), and installation measures
The distribution node of device is (2,4,9,11,18,22,27).
Online fault location: the region 10 of fault-free information is rejected in progress area fault information redundancy information processing first
With region 8；Then remaining each region node failure information is read, using the improvement population optimized based on tabu search algorithm
Algorithm carries out fault location, determines that fault zone is region 3.
As described above, must not be explained although the present invention has been stated and illustrated referring to specific preferred embodiment
For the limitation to invention itself.It without prejudice to the spirit and scope of the invention as defined in the appended claims, can be right
Various changes can be made in the form and details for it.
Claims (10)
1. a kind of based on the active power distribution network Fault Locating Method for improving population, which comprises the steps of:
(1) offline area divides；The offline area division comprises the following specific steps that:
(1.1) according to having measuring equipment formation network topology structure in distribution, according to economy, reliability and risk three
Aspect establishes evaluation index, carries out distribution web area static division, is carried out using gray relative analysis method to each evaluation index
Comprehensive analysis；
(1.2) it is directed to the access of distributed generation resource, using factor analysis method analysis distribution formula power supply to the shadow of each evaluation index
It rings, establishes new evaluation index, carry out the distribution regional dynamics adjustment of distributed generation resource access；
(2) online fault location；The online fault location comprises the following specific steps that:
(2.1) redundancy processing is carried out according to the fault message at the node of zone boundary, if treatment principle is that area judging does not have
Faulty electric current flows through, and rejects inactive area；
(2.2) to treated, fault message carries out encoding variable optimization；
(2.3) failure positioning of overall importance is realized using the improvement particle swarm algorithm optimized based on tabu search algorithm:
Step (2.3.1): reading each zone boundary node failure information according to region division result, determines solution dimension；
Step (2.3.2): determining population scale m, maximum number of iterations n and particle group parameters, carries out population initialization；
Step (2.3.3): calculating the fitness of particle, brings particle position into evaluation function, calculates fitness value；
Step (2.3.4): speed and the position of population are updated by iterative calculation；
Step (2.3.5): setting special pardon rule and taboo list coordinate particle swarm algorithm local solution and global solution；
Step (2.3.6): step (2.3.4), (2.3.5) are repeated until realizing failure Global localization.
2. active power distribution network Fault Locating Method according to claim 1, it is characterised in that: in step (1.1), the economy
Property refer to meet region it is considerable in the case where guarantee to need measuring equipment to be mounted as few as possible, using economic index EsetCome
It measures, the EsetValue depend on needing the cost of measuring equipment to be mounted.
3. active power distribution network Fault Locating Method according to claim 1 or claim 2, it is characterised in that: what the economy divided
Index further includes node failure relevance index Re, the ReValue depend on its connection circuitry number.
4. active power distribution network Fault Locating Method according to claim 1, it is characterised in that: described reliable in step (1.1)
Property, which refers to, is monitored the load in each region after meeting region division, and establishes load important level index:
Wherein: piIndicate that the importance rate of load i, N indicate that load number all in some region, m indicate the area of region division
Domain number.
5. active power distribution network Fault Locating Method according to claim 4, it is characterised in that: the load in described each region
Important level index is uniform, with the sum of the difference of the load important level index of each region after divisionFor measurement standard, the EPIt should be as close as in zero.
6. active power distribution network Fault Locating Method according to claim 1, it is characterised in that: in step (1.1), the risk
Property refers to establishes each region internal loading failure risk index after meeting region division:
Wherein: riIndicate a possibility that breaking down of load i, N indicates load number all in some region, the riBy going through
History data are calculated.
7. active power distribution network Fault Locating Method according to claim 6, it is characterised in that: the load in described each region
Failure risk index is uniform, with the sum of the difference of the load failure risk index of each region after divisionFor measurement standard, the ERIt should be as close as in zero.
8. active power distribution network Fault Locating Method according to claim 1, which is characterized in that also wrapped in the step (1.2)
It includes: power P it is expected using distributed generation resourceDGevIts influence to each evaluation index is assessed, region division dynamic is carried out and adjusts,
In view of the fluctuation of new energy, the distributed generation resource it is expected power PDGevValue depend on distributed energy long-time ruler
The generated power forecasting model of degree, the long time scale model include that the winter is big, the winter is small, winter waist, Xia great, summer are small, summer waist.
9. active power distribution network Fault Locating Method according to claim 1, it is characterised in that:, it is specified that by being in step (2.2)
The fault current direction that system power supply provides is positive direction, after failure occurs, Ij=1 indicates to flow through positive direction fault current；Ij
=-1 indicates to flow through negative direction fault current；Ij=0 indicates no fault current.
10. active power distribution network Fault Locating Method according to claim 1, it is characterised in that: utilize the special pardon of TABU search
Rule and taboo list optimization population optimizing path preferentially position high failure risk and important load, calculate when population
When method is fallen into the case where local optimum, taboo list is set to jump out locally optimal solution, generates new RANDOM SOLUTION.
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| CN107994940B (en) * | 2017-11-17 | 2019-11-15 | 华南理工大学 | A kind of visible light localization method based on TABU search |
| CN109342885B (en) * | 2018-11-14 | 2020-10-30 | 华北电力大学（保定） | Method and system for positioning line fault of direct-current power distribution network |
| CN114280420A (en) * | 2021-12-27 | 2022-04-05 | 国网山东省电力公司枣庄供电公司 | Rapid fault positioning method and system based on active power distribution network fault area division |
| CN115639899B (en) * | 2022-09-26 | 2023-10-20 | 广东维基科技有限公司 | Internet of things pairing method for intelligent power supply |
| CN116973694B (en) * | 2023-09-22 | 2023-12-12 | 国网浙江宁波市鄞州区供电有限公司 | Power distribution network fault diagnosis optimization method and system |
| CN118130970A (en) * | 2024-05-07 | 2024-06-04 | 国网天津市电力公司电力科学研究院 | Power distribution network fault detection method, device, equipment and storage medium |
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