CN110412428A - A kind of power distribution network time representation method based on temporal constraint network - Google Patents
A kind of power distribution network time representation method based on temporal constraint network Download PDFInfo
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- CN110412428A CN110412428A CN201910820659.4A CN201910820659A CN110412428A CN 110412428 A CN110412428 A CN 110412428A CN 201910820659 A CN201910820659 A CN 201910820659A CN 110412428 A CN110412428 A CN 110412428A
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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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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/02—Details
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention discloses a kind of power distribution network time representation method based on temporal constraint network, this method using in temporal constraint network time point constraint and time gap constraint replace in power distribution network time scale information at the time of and the period, obtain new time representation method.The present invention is by combining section algebraic process that the precedence relationship between time point is depicted, the expression of failure criterion and the description of failure scenario are obtained, solve the problems, such as that the existing Fault Diagnosis Method for Distribution Networks based on failure timing information indicates excessively accurate, the too low problem for leading to diagnostic result inaccuracy of the redundancy of timing information due to the time;Method can rapidly and accurately realize fault diagnosis, considerably increase system reliability of operation, safety.
Description
Technical field
The invention belongs to temporal constraint network application fields, and in particular to when a kind of power distribution network based on temporal constraint network
Between representation method.
Background technique
SCADA system in electric system as being most widely used, and also the data of maturation are acquired and supervised the most for technology development
Depending on control system, after breaking down in power distribution network, relevant protective breaker information will be collected with SOE (Sequence of
Event) form recorded is uploaded to control centre.Monitoring personnel needs to quickly complete event by the information uploaded in a short time
Barrier diagnosis, the abnormal conditions of timely discovering device improve the security reliability of power distribution network.However, in power distribution network when existing band
Target information is all to be accurate to the moment, although appearing in very high in accuracy, asking there are survey calculation error in use
Topic, the diagnostic result accuracy for causing the Fault Diagnosis Method for Distribution Networks based on failure timing information to obtain be not high.
Time point constraint and time gap constraint representation method in temporal constraint network were widened to moment and period
Definition, for the available different time representation method of time response different in power distribution network.The interval algebra of Allen is managed
By the sequential relationship between time interval is described with interval algebra method.It is using between 2 time interval endpoints
Relationship, define 13 kinds mutually disjoint and combine it is complete (jointly exhaustive and pairwise disjoint,
JEPD temporal relationship), all relationships being fully contemplated by between time point and time gap, is conducive to failure in fault diagnosis
The expression of criterion and the description of failure scenario.
With regard to above-mentioned analysis, the existing Fault Diagnosis Method for Distribution Networks based on failure timing information is indicated excessively due to the time
Accurate problem, the redundancy of timing information is too low to cause diagnostic result inaccurate.Accordingly, it is considered to which the time into power distribution network is special
Property, it is necessary for inventing a kind of higher power distribution network time representation method of redundancy.
Summary of the invention
The purpose of the present invention is to provide a kind of power distribution network time representation method based on temporal constraint network, it is existing to overcome
There is defect existing for technology, the present invention can be realized when power distribution network breaks down, and utilize the time point in temporal constraint network
Constraint and time gap constrain at the time of replacing in power distribution network time scale information and the period, obtains new time representation method;Knot
It closes interval algebra theoretical description and goes out the precedence relationship between time point, obtain expression and the failure scenario of more accurate failure criterion
Description, the accuracy of Fault Diagnosis of Distribution Network can be improved in the present invention, to shorten power off time, reduce economic loss etc.
All there is critically important realistic meaning.
In order to achieve the above objectives, the present invention adopts the following technical scheme:
A kind of power distribution network time representation method based on temporal constraint network, comprising the following steps:
Step 1, the time type for determining known time in power distribution network;
Step 2 is indicated with time point and time gap respectively according to different time types;
Step 3 determines the relationship needed between the time indicated and known time;
Step 4,3 operations constrained according to time point and time gap, the time for needing to indicate in power distribution network is written as
Time representation based on sequential network;
Step 5 judges whether to need to judge the relationship in power distribution network between the time;
Step 6, if necessary to judge relationship in power distribution network between the time, extract the time point that needs judge;Otherwise not
With continuation following steps;
Step 7 determines the temporal relationship met between time point;
Step 8, judge to obtain time point according to the temporal relationship met between time point it is whether equal.
Further, the time type in step 1 in power distribution network is divided into moment and period.
Further, the time point in step 2 and time gap are expressed as follows:
Time point can be divided into determining time point and uncertain time point.Uncertain time point t is a variable, defines the time
Section T (t)=[t-, t+], indicate the constraint of uncertain time point t, i.e. t ∈ T (t);t-And t+Respectively indicate the starting point of T (t)
And terminal.Work as t-=t+When, t is exactly a determining time point.
Time gap can be divided into determining time gap and uncertain time distance.Uncertain time distance d (ti, tj) it is one
A variable, definitionIndicate uncertain time distance d (ti, tj) constraint, i.e. d (ti,tj)∈D(ti,
tj);WithRespectively indicate section D (ti, tj) beginning and end.WhenWhen, d (ti,tj) it is exactly a determination
Time gap.
Further, 3 operations of time point and time gap constraint are as follows in step 4:
(1) constraint at succeeding events time point is asked: known T (ti) and D (ti,tj), ask the time of the succeeding events j of event i
Point constraint T (tj).By tj=ti+d(ti,tj) can obtain:
(2) constraint of forerunner's event time point is asked: known T (tj) and D (ti,tj), ask the time of forerunner's event i of event j
Point constraint T (ti).By ti=tj-d(ti,tj) can obtain:
(3) superposition of time gap constraint: event i, j, k is respectively in ti,tj,tk(ti≤tj≤tK) phase is after generation,
Know D (ti,tj) and D (tj, tk), solve time point tiWith tkBetween time gap d (ti, tk) constraint.By d (ti,tk)=d
(ti,tj)+d(tj,tk) can obtain:
Further, in step 7 13 kinds of the interval algebra of Allen mutually disjoint and combine complete (jointly
Exhaustive and pairwise disjoint, JEPD) temporal relationship be expressed as follows:
Further, in step 8 time point it is equal newly be defined as follows:
If T1And T2Meet any one following situation: During (T1, T2),Contains(T1, T2),Overlaps(T1,
T2),Overlapped-by(T1, T2),Starts(T1, T2),Started-by(T1, T2),Finishes(T1, T2),
Finished-by(T1, T2),Equals(T1, T2), we just claim T1=T2;Otherwise two time points are unequal.
Compared with prior art, the invention has the following beneficial technical effects:
The method of the present invention replaces power distribution network markers with time gap constraint using the time point constraint in temporal constraint network
At the time of in information and the period, new time representation method is obtained;It is depicted between time point in conjunction with section algebraic process
Precedence relationship has obtained the expression of failure criterion and the description of failure scenario, solves existing based on failure timing information
For Fault Diagnosis Method for Distribution Networks since the time indicates excessively accurate problem, the redundancy of timing information is too low to lead to diagnostic result
The problem of inaccuracy, the present invention can rapidly and accurately realize fault diagnosis, considerably increase system reliability of operation, safety
Property.
Detailed description of the invention
13 node isolated neutral distribution network topology of Fig. 1 standard;
Fig. 2 power distribution network simulated line figure;
Power distribution network time Fig. 3 of the invention indicates method flow diagram.
Specific embodiment
Implementation process of the invention is described in further detail with reference to the accompanying drawing:
The present invention is a kind of power distribution network time representation method based on temporal constraint network, specifically includes the following steps:
It one, is that the power distribution network that 13 node isolated neutral distribution network topology of standard is set up such as Fig. 2 is imitative based on such as Fig. 1
It is marked in true line map, line length such as figure, transformer and load parameter are as shown in table 1, and every section of route is provided with complete three
Segmentation current protection.It breaks down simultaneously on route 6,7,9 in setting power distribution network.Determine known protection act mould in power distribution network
Type time parameter: to tail end line 6,8,10,11, I sections of operation time limit 30ms of electric current;To route 7,9, I sections of operation time limits of electric current
40ms, II sections of operation time limit 0.5s of electric current, III sections of operation time limit 2s of electric current;To route 5, I sections of operation time limit 50ms of electric current, electricity
Flow II sections of operation time limit 0.6s, III sections of operation time limit 2.1s of electric current;Breaker actuation time limit 40ms;Known breaker information:
6 breaker of route trips in time 1.091s, and 7 breaker of route trips in time 1.100s, and 9 breaker of route is in the time
1.561s tripping.
1 transformer of table and load parameter
Two, method flow diagram is indicated according to the power distribution network time of such as Fig. 3, distinguish the used time first, in accordance with different time types
Between point and time gap indicate: to tail end line 6,8,10,11, I sections of operation time limit [30,50] ms of electric current;To route 7,9,
I sections of operation time limit [40,60] ms of electric current, II sections of operation time limit [480,520] ms of electric current, III sections of operation time limits of electric current [1950,
2050]ms;To route 5, I sections of operation time limit [50,70] ms of electric current, electric current II sections of operation time limits [580,620] ms, electric current III
Section operation time limit [2050,2150] ms;Breaker actuation time limit [40,60] ms, 6 breaker of route time point [1091,
1091] ms trip, 7 breaker of route time point [1100,1100] ms trip, 9 breaker of route time point [1561,
1561] ms trips.
Three, the incidence relation between multiple failure is obtained, needs to obtain failure in diagnosis criterion and the moment occurs, known
Time is breaker time point, determines the relationship needed between the time indicated and known time: at the time of failure occurs
=fault trip the moment-breaker actuation time limit-protection act time limit.
Four, 3 operations constrained according to time point and time gap, the time for needing to indicate in power distribution network is written as being based on
The time representation of sequential network;
Wherein, 3 operations of time point and time gap constraint are as follows:
(1) constraint at succeeding events time point is asked: known T (ti) and D (ti, tj), ask the time of the succeeding events j of event i
Point constraint T (tj).By tj=ti+d(ti,tj) can obtain:
(2) constraint of forerunner's event time point is asked: known T (tj) and D (ti, tj), ask the time of forerunner's event i of event j
Point constraint T (ti).By ti=tj-d(ti,tj) can obtain:
(3) superposition of time gap constraint: event i, j, k is respectively in ti, tj, tk(ti≤tj≤tk) phase is after generation,
Know D (ti, tj) and D (tj, tk), solve time point tiWith tkBetween time gap d (ti, tk) constraint.By d (ti,tk)=d
(ti,tj)+d(tj,tk) can obtain:
Five, the incidence relation of judgement diagnosis multiple failure needed to judge in power distribution network between the fault time of each failure
Relationship.
Six, the time point for needing to judge is extracted, i.e., the time of failure of each failure: the time point that failure one occurs The time point that failure two occurs The time that failure three occurs
Point
Seven, the temporal relationship met between time point: Overlapped-by (T (t is determineds1), T (ts2)), Starts (T
(ts2), T (ts3));
Eight, whether equal judgement obtains time point: T (ts1)=T (ts2), T (ts2)=T (ts3);
Nine, bring in the criterion of successive failure time point into and obtain last diagnostic result: three failures are to have common cause
The successive failure in barrier source is identical as setting.
Analysis emulation diagnostic result obtains: the invention method can improve diagnosis criterion on the basis of former diagnostic method,
More accurately diagnose the incidence relation between being out of order.
Claims (6)
1. a kind of power distribution network time representation method based on temporal constraint network, which comprises the following steps:
Step 1, the time type for determining known time in power distribution network;
Step 2 indicates different time types with time point and time gap respectively;
Step 3 determines the constraint relationship between object time and known time;
Object time in power distribution network is written as based on sequential network by step 4 according to the operation that time point and time gap constrain
Time representation;
Step 5 judges whether to need to judge the relationship in power distribution network between the time;
Step 6, if necessary to judge relationship in power distribution network between the time, extract the time point that needs judge, and enter step
7;Otherwise terminate;
Step 7 determines the temporal relationship met between time point;
Step 8, judge to obtain time point according to the temporal relationship met between time point it is whether equal.
2. a kind of power distribution network time representation method based on temporal constraint network according to claim 1, which is characterized in that
Time type in step 1 in power distribution network is divided into moment and period.
3. a kind of power distribution network time representation method based on temporal constraint network according to claim 1, which is characterized in that
Time point and time gap in step 2 are expressed as follows:
Time point is divided into determining time point and uncertain time point, and uncertain time point t is a variable, defines time interval T
(t)=[t-, t+], indicate the constraint of uncertain time point t, i.e. t ∈ T (t);t-And t+Respectively indicate starting point and the end of T (t)
Point, works as t-=t+When, t is exactly a determining time point;
Time gap is divided into determining time gap and uncertain time distance, uncertain time distance d (ti, tj) it is a variable,
DefinitionIndicate uncertain time distance d (ti, tj) constraint, i.e. d (ti, tj)∈D(ti, tj);
WithRespectively indicate section D (ti, tj) beginning and end, whenWhen, d (ti, tj) it is exactly a determining time interval
From.
4. a kind of power distribution network time representation method based on temporal constraint network according to claim 3, which is characterized in that
The operation of time point and time gap constraint is as follows in step 4:
(1) constraint at succeeding events time point is asked: known T (ti) and D (ti, tj), ask the time point of succeeding events j of event i about
Beam T (tj), by tj=ti+d(ti, tj):
(2) constraint of forerunner's event time point is asked: known T (tj) and D (ti, tj), ask the time point of forerunner's event i of event j about
Beam T (ti), by ti=tj-d(ti, tj):
(3) superposition of time gap constraint: event i, j, k is respectively in ti, tj, tk(ti≤tj≤tk) phase is after generation, it is known that D
(ti, tj) and D (tj, tk), solve time point tiWith tkBetween time gap d (ti, tk) constraint, by d (ti, tk)=d (ti,
tj)+d(tj, tk):
5. a kind of power distribution network time representation method based on temporal constraint network according to claim 1, which is characterized in that
The temporal relationship met between time point in step 7 is expressed as follows:
6. a kind of power distribution network time representation method based on temporal constraint network according to claim 5, which is characterized in that
Time point equal is defined as follows in step 8:
If T1And T2Meet any one following temporal relationship: During (T1, T2), Contains (T1, T2), Overlaps (T1,
T2), Overlapped-by (T1, T2), Starts (T1, T2), Started-by (T1, T2), Finishes (T1, T2),
Finished-by(T1, T2), Equals (T1, T2), then claim T1=T2;Otherwise two time points are unequal.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113484685A (en) * | 2021-07-16 | 2021-10-08 | 西华大学 | Power grid fault diagnosis method based on time sequence organization type P system |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170046194A1 (en) * | 2014-01-31 | 2017-02-16 | Pearson Education, Inc. | Dynamic time-based sequencing |
CN106532940A (en) * | 2016-11-10 | 2017-03-22 | 中国电力科学研究院 | Alarm signal action and time sequence logic relationship analysis method of intelligent substation |
US20170192088A1 (en) * | 2015-12-31 | 2017-07-06 | Herbert U Fluhler | Least squares fit classifier for improved sensor performance |
CN107656176A (en) * | 2017-11-09 | 2018-02-02 | 华北电力大学(保定) | A kind of electric network failure diagnosis method based on improvement Bayes's Petri network |
CN108711886A (en) * | 2018-06-08 | 2018-10-26 | 国网福建省电力有限公司 | Sort run sample generating method when a kind of garden distribution |
CN109543712A (en) * | 2018-10-16 | 2019-03-29 | 哈尔滨工业大学 | Entity recognition method on temporal dataset |
CN109752629A (en) * | 2017-11-07 | 2019-05-14 | 中国电力科学研究院有限公司 | A kind of power grid measurement problem intelligent diagnosing method and system |
CN109783870A (en) * | 2018-12-18 | 2019-05-21 | 北京航空航天大学 | A kind of human-computer interaction risk scene recognition method based on Formal Verification |
-
2019
- 2019-08-29 CN CN201910820659.4A patent/CN110412428B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170046194A1 (en) * | 2014-01-31 | 2017-02-16 | Pearson Education, Inc. | Dynamic time-based sequencing |
US20170192088A1 (en) * | 2015-12-31 | 2017-07-06 | Herbert U Fluhler | Least squares fit classifier for improved sensor performance |
CN106532940A (en) * | 2016-11-10 | 2017-03-22 | 中国电力科学研究院 | Alarm signal action and time sequence logic relationship analysis method of intelligent substation |
CN109752629A (en) * | 2017-11-07 | 2019-05-14 | 中国电力科学研究院有限公司 | A kind of power grid measurement problem intelligent diagnosing method and system |
CN107656176A (en) * | 2017-11-09 | 2018-02-02 | 华北电力大学(保定) | A kind of electric network failure diagnosis method based on improvement Bayes's Petri network |
CN108711886A (en) * | 2018-06-08 | 2018-10-26 | 国网福建省电力有限公司 | Sort run sample generating method when a kind of garden distribution |
CN109543712A (en) * | 2018-10-16 | 2019-03-29 | 哈尔滨工业大学 | Entity recognition method on temporal dataset |
CN109783870A (en) * | 2018-12-18 | 2019-05-21 | 北京航空航天大学 | A kind of human-computer interaction risk scene recognition method based on Formal Verification |
Non-Patent Citations (1)
Title |
---|
赖宏毅等: "基于事件起点的层次化时序Petri网及其电网故障诊断方法", 《电力自动化设备》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113484685A (en) * | 2021-07-16 | 2021-10-08 | 西华大学 | Power grid fault diagnosis method based on time sequence organization type P system |
CN113484685B (en) * | 2021-07-16 | 2023-08-18 | 西华大学 | Power grid fault diagnosis method based on time sequence organization type P system |
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