CN110048430A - A kind of voltage-sensitive consumer networks weak spot recognition methods - Google Patents
A kind of voltage-sensitive consumer networks weak spot recognition methods Download PDFInfo
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- CN110048430A CN110048430A CN201910380320.7A CN201910380320A CN110048430A CN 110048430 A CN110048430 A CN 110048430A CN 201910380320 A CN201910380320 A CN 201910380320A CN 110048430 A CN110048430 A CN 110048430A
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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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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
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Abstract
A kind of voltage-sensitive consumer networks weak spot recognition methods of the invention, according to the historical failure information occurred in power supply area where sensitive users, in conjunction with user's voltage dip event after verification, construct training data sample, based on support vector machines (Support Vector Machine, SVM) algorithm identifies voltage-sensitive consumer networks weak spot.The present invention sufficiently excavates the relationship between faulty line, type and user's PCC point, realize easy, accurate identification voltage-sensitive consumer networks weak spot, it carries out the work for power supply company for Problem of Voltage Temporary-Drop differentiation and accurate guiding is provided, the power supply reliability of the user is precisely promoted, there is huge Social benefit and economic benefit.
Description
Technical field
The invention belongs to voltage-sensitive consumer networks weak spots to identify field, and it is weak to be related to a kind of voltage-sensitive consumer networks
Point recognition methods.
Background technique
The planning construction of power grid and operation and maintenance are not directed to Problem of Voltage Temporary-Drop differentiation and carry out the work at present, so that in recent years
It shows an increasing trend year by year for dispute of the electricity consumption both sides on Problem of Voltage Temporary-Drop, has directly influenced grid company and electric power
The harmonious friendly relation of user are unfavorable for constructing good electric power business environment.The reason of searching to the bottom, causing above-mentioned situation be
Lack a kind of easy, accurate voltage-sensitive consumer networks weak spot recognition methods, voltage dip can not be directed to for power supply company
Problem differentiation, which is carried out the work, provides accurate guiding.
(Wu Shaochen urban distribution network voltage dip is general by means of special software for calculation for domestic traditional recognition methods needs
Rate analysis and risk assessment [D] South China Science & Engineering University, 2015.) (Zhong Qing, Lin Lingxue, Yi Yang wait voltage dip evaluation index
(I) --- electrical network weak link index [J] Power System and its Automation journal, 2012,24 (1): 110-114.), calculate stream
Journey is complicated, computationally intensive, and can only obtain the amplitude situation of each node voltage after failure, can not react each node and fault wire
Road, fault type relationship.
In view of the above-mentioned problems, that very it is necessary to study a kind of calculating is easy, it is public to comprehensively consider faulty line, type and user
The voltage-sensitive consumer networks weak spot recognition methods of relationship between total tie point (Point of Common Coupling, PCC).
Summary of the invention
It is a primary object of the present invention to overcome drawbacks described above in the prior art, a kind of voltage-sensitive consumer networks are proposed
Weak spot recognition methods, method is simply clear, convenient for calculating, it is easy to accomplish.
The present invention adopts the following technical scheme:
Step 1: obtaining data, including whether line fault type, route Suo Jie substation are direct with 500kV substation
It is connected, line voltage distribution grade, route and user's PCC point electrical distance, the connect substation bus bar minimum capacity of short circuit of route；
Step 2: carrying out pretreatment to data obtains consistent monotonicity, and normalizing makes numberical range be in [0,1]；
Step 3: the numerical value combination historical data composing training data that will be obtained, and calculated using based on support vector machines,
The matrix of deviation b and Lagrange coefficient α are obtained, trained identification model is obtained:
X in formulaiFor training data, αiFor the value in Lagrange coefficient matrix, i=1,2 ..., n, n are training data group
Number, x are data to be identified, and K is kernel function,σ is adjusting parameter, and training data with
Data to be identified are 5 dimension data types；
Known Step 4: the data to be identified of voltage-sensitive consumer networks weak spot input trained identification model
Not, if output is -1, then it is assumed that the line fault only causes the voltage-sensitive user generation area A, B temporarily to drop failure, sets in sensitivity
In standby tolerable section；If output thinks that the line fault will cause the voltage-sensitive user generation area C, D and temporarily drop failure for+1, locate
In in the not tolerable section of sensitive equipment.
Whether the line fault type, route Suo Jie substation are connected directly with 500kV substation, the line
Road voltage class is directly acquired from production run equipment management system PMS2.0；The route and user PCC point electrical distance,
The connect substation bus bar minimum capacity of short circuit of route is calculated by PSD-BPA stability program.
The line fault type includes three phase short circuit fault, phase fault and single-phase earthing fault, and is remembered respectively
It is 1,0.5 and 0.
Whether route Suo Jie substation is connected directly with 500kV substation including being connected directly or not being connected directly,
And it is denoted as 1 and 0 respectively.
Whether the line fault type, route Suo Jie substation are connected directly with 500kV substation, institute
The connect substation bus bar minimum capacity of short circuit of line voltage distribution grade, the route is stated, described to be normalized to:
In formula: γ, γ ' respectively indicate the data value after former data value and normalization；I indicates i-th group of training data.
It is bigger to the influence degree of user's voltage dip for the route and user PCC point electrical distance, the normalizing
It turns to:
In formula: β, β ' respectively indicate the data value after former data value and normalization；I indicates i-th group of training data.
By the above-mentioned description of this invention it is found that compared with prior art, the invention has the following beneficial effects:
A kind of voltage-sensitive consumer networks weak spot recognition methods of the invention, sufficiently excavation faulty line, type and use
Relationship between family PCC point realizes easy, accurate identification voltage-sensitive consumer networks weak spot, is directed to voltage for power supply company
Temporarily drop problem differentiation, which is carried out the work, provides accurate guiding, precisely promotes the power supply reliability of the user, has huge society
Benefit and economic benefit.
Specific embodiment
Below by way of specific embodiment, the invention will be further described.
Firstly, according to (Wu Shaochen urban distribution network voltage dip probability analysis and risk assessment [D] South China Science & Engineering University,
2015.) the voltage dip mechanism of production analyzed in finds line fault type, the voltage class of route, the connected bus of route
Minimum capacity of short circuit, the factors such as electrical distance of route and user's PCC point to the influence degree of user's voltage dip
It is different: 1. more serious low compared with voltage class of influence of the high line fault of voltage class to user's voltage dip；2. route three
Influence of the phase short trouble to user's voltage dip is more serious compared with single-phase earthing fault；3. the minimum short circuit of the connected bus of route
The big reactance voltage disturbance ability of capacity is stronger；4. to user's voltage dip after the line fault close with user's PCC point electrical distance
Influence it is remote compared with electrical distance route it is more serious.
Therefore, the present invention selection 1. line fault type, 2. route Suo Jie substation whether with the direct phase of 500kV substation
The minimum short circuit of the connect substation bus bar of connection, 3. line voltage distribution grade, 4. route and user's PCC point electrical distance, 5. route is held
Five big major influence factors are measured as data source.
The present invention proposes a kind of voltage-sensitive consumer networks weak spot recognition methods, according to power supply area where sensitive users
The historical failure information of interior generation constructs training data sample in conjunction with user's voltage dip event after verification, based on support to
Amount machine (Support Vector Machine, SVM) algorithm identifies voltage-sensitive consumer networks weak spot.It includes following step
It is rapid:
Step 1: obtain data, wherein 1. line fault type, 2. route Suo Jie substation whether with 500kV substation
It is connected directly, 3. the big influence factor of line voltage distribution grade three can directly arrange export from PMS2.0 system；And 4. route with
User's PCC point electrical distance, 5. the connect substation bus bar minimum capacity of short circuit of route need to be calculated by PSD-BPA stability program
It arrives, as follows:
(1) capacity of short circuit, Isc SSC=1/ISCFor the short-circuit current value that system provides, capacity of short circuit reflects node and is
The power of electrical distance between the equivalent generator of system.Node capacity of short circuit is bigger, and the equivalence electrical distance is shorter, and voltage support is strong
It spends higher.And minimum capacity of short circuit is then the capacity of short circuit being calculated under regional annual minimum operational mode.Of the invention
It calculates and each line is calculated using the short-circuit current calculation program SCCP of China Electric Power Research Institute's electric system research institute research and development
The three-phase shortcircuit capacity of the connected bus in road.
(2) (P.Lagonotte, J.C.Sabonnadiere, J.Y.Leost, et al.Structural analysis
of the electrical system:application to secondary voltage control in France
[J] .IEEE Transactions on Power Systems, 1989,4 (02): 479-486) propose that electrical distance is general earliest
It reads, for characterizing the electrical link tightness degree between two nodes.It not only reflect between node electrically apart from size, also use
To measure the correlation degree between node.According to PSD-BPA data model of area power grid, fast and accurately establish about the electricity
The node admittance matrix of net is inverted method or branch additional method using admittance matrix, obtains nodal impedance matrix, can acquire two
Electrical distance (mutual impedance) between node.
Step 2: due to 1. line fault type, 2. whether route Suo Jie substation is connected directly with 500kV substation
Data are more special, need to carry out pre-processing as follows:
(1) present invention provide that route occur three phase short circuit fault be denoted as 1, phase fault is denoted as 0.5, single-phase short
Road failure is denoted as 0, through counting, divides by fault type, line failure to the influence degree of user's voltage dip by
It arrives greatly and small is followed successively by three-phase, alternate, single-phase earthing fault.
(2) present invention provide that route Suo Jie substation is denoted as 1 with what 500kV substation was connected directly, it is otherwise denoted as 0,
Through counting, there is the influence after the failure being connected directly with 500kV substation to user's voltage dip in route Suo Jie substation more
Greatly.
After above-mentioned pretreatment, 1. line fault type, 2. whether route Suo Jie substation direct with 500kV substation
It is connected, 3. line voltage distribution grade, 4. route and user's PCC point electrical distance, the 5. minimum short circuit of the connect substation bus bar of route
There are still dimension different problems for capacity, therefore need to be standardized to above-mentioned data, so that monotonicity is consistent.
(1) wherein 1. line fault type, 2. whether route Suo Jie substation is connected directly, 3. with 500kV substation
The connect substation bus bar minimum capacity of short circuit data value of line voltage distribution grade, 5. route is bigger, the influence to user's voltage dip
Degree is bigger, therefore has:
In formula: γ, γ ' respectively indicate the data value after former data value and normalization；I indicates i-th group of data namely i-th
Route, i=1,2 ..., n, n are training data group number.
(2) 4. route and user's PCC point electrical distance data value are smaller, bigger to the influence degree of user's voltage dip,
Therefore have:
In formula: β, β ' respectively indicate the data value after former data value and normalization；I indicates i-th group of data namely i-th
Route.
By the standardization of formula (1), (2), the data value after normalization is dull in the same direction, i.e., after standardization
Index value is bigger, bigger to the influence degree of user's voltage dip.
Step 3: selected, the present invention optimizing after many tests of the parameter for identification model, has selected using radial base
RBF function has determined optimal correction parameter as kernel function
Adjusting parameter σ is set as 32.480 in formula；
Support vector machines by establishing an optimal separating hyper plane so that between two class samples of the plane two sides away from
From maximization, to provide good generalization ability to classification problem, it is typical case's nerve based on Statistical Learning Theory building
Network.After obtaining normalized numerical value by step 3, in conjunction with the training sample (x of historical data compositioni,yi), i=1,
2 ..., n indicates i-th group of data (data on corresponding i-th line road), wherein yi∈ {+1, -1 }.Then, by hyperplane side
Sample is divided into two classes by journey wx+b=0:
The optimal hyperlane of support vector machines is one and makes the maximum hyperplane of classifying edge, i.e., so thatMaximum,
In order to which ready-made quadratic programming (Quadratic Programming, QP) optimization packet can be used to solve above-mentioned optimal hyperlane,
Objective function is equivalent to convex quadratic programming problem:
Above formula should meet constraint condition: yi(w·xi+ b) -1 >=0, i=1,2 ..., n.
According to Lagrange duality principle, above-mentioned objective function equivalency transform is
α is Lagrange multiplier in formula, and there are following relationships with w:
It is trained using above-mentioned training sample data, passes through the calculating of function train-svm in the tool box SVM
The matrix of deviation b and Lagrange coefficient α are obtained, and according to formula (7), finds out w, to obtain the identification model such as following formula:
X in formulaiFor training data, αiFor the value in Lagrange coefficient matrix, i=1,2 ..., n, x are number to be identified
According to K is kernel function, the present inventionAnd training data and identification data are 5 dimension data classes
Type.
Step 4: sample data to be identified is inputted SVM work according to the trained identification model, that is, formula (8) of historical data
Function predict-svm is calculated in tool case, is completed the identification to voltage-sensitive consumer networks weak spot, is exported and think for -1
The line fault only causes the voltage-sensitive user generation area A, B temporarily to drop failure, can tolerate in section, does not influence in sensitive equipment
User normally produces；If output thinks that the line fault will cause the voltage-sensitive user generation area C, D and temporarily drop failure for+1, it is in
In the not tolerable section of sensitive equipment, influences user and normally produce, after identifying the weak link, can be directed to for power supply company
Problem of Voltage Temporary-Drop differentiation, which is carried out the work, provides accurate guiding.
Applicating example
Capacity of short circuit, electrical distance are calculated in the present invention is researched and developed using China Electric Power Research Institute's electric system research institute
Short-circuit current calculation program SCCP (version number: 1.0.0.0) calculate the three-phase shortcircuit capacity of access point and the node of power grid
Admittance matrix, the method for operation use 2019 Nian Nian little mode of FJ power grid.
According to statistics, sensitive users region within the jurisdiction power grid 110kV above line fault occurs 220 times altogether, wherein
Cause 30 times that sensitive users voltage dip causes production shutdown.It is divided into 200 groups of training samples according to arrangement and 50 groups to be identified
Sample.It not will cause 180 groups that sensitive users production is shut down in training sample after line fault, will cause production after 20 groups of failures
It shuts down；Identify that in sample be 40 groups, 10 groups respectively.
The present invention first according to step 1), 2), by above-mentioned training sample composing training collection be { (x1,y1),(x2,
y2),...,(x250,y250), wherein xi∈R5,yi={ 1, -1 }, works as yiWhen=1, indicate that i-th line road failure will cause voltage
Sensitive users occur the area C, D and temporarily drop failure, cause production equipment to shut down, work as yiIt, will not after expression i-th line road failure when=- 1
Sensitive users production equipment is caused to shut down.Then, identification model is obtained by function train-svm training in the tool box SVM
Traindata.model, finally, according to identification model 4) is combined, by function in the identification sample data input tool box SVM
Predict-svm calculates recognition result, as shown in table 1 below.
1 voltage-sensitive consumer networks weak spot recognition result of table
Whole accuracy is the ratio of the correct sample number of identification and total sample number to be identified in upper table.And as shown in Table 1, should
The recognition correct rate of invention is feasible, efficient up to 90% or more, therefore to the identification of voltage-sensitive consumer networks weak spot.
To further confirm that whether the weak spot recognition methods effective, the route that does not break down to 10 groups of history by
It is identified according to above-mentioned steps, finally by its accuracy of PSD-BPA simulating, verifying, as shown in table 2, it can be seen that the present invention
Recognition result it is consistent with BPA simulation result, method is effective.
2 voltage-sensitive consumer networks weak spot recognition result of table is compared with BPA realistically displayed result
The above is only a specific embodiment of the present invention, but the design concept of the present invention is not limited to this, all to utilize this
Design makes a non-material change to the present invention, and should all belong to behavior that violates the scope of protection of the present invention.
Claims (6)
1. a kind of voltage-sensitive consumer networks weak spot recognition methods, which comprises the steps of:
Step 1: obtaining data, including whether line fault type, route Suo Jie substation are connected directly with 500kV substation
It connects, line voltage distribution grade, route and user's PCC point electrical distance, the connect substation bus bar minimum capacity of short circuit of route；
Step 2: carrying out pretreatment to data obtains consistent monotonicity, and normalizing makes numberical range be in [0,1]；
Step 3: the numerical value combination historical data composing training data that will be obtained, and calculated using based on support vector machines, it obtains
The matrix of deviation b and Lagrange coefficient α obtain trained identification model:
X in formulaiFor training data, αiFor the value in Lagrange coefficient matrix, i=1,2 ..., n, n are training data group number, x
For data to be identified, K is kernel function,σ is adjusting parameter, and training data with wait know
Other data are 5 dimension data types；
It is identified Step 4: the data to be identified of voltage-sensitive consumer networks weak spot input trained identification model, if
Output is -1, then it is assumed that the line fault only causes the voltage-sensitive user generation area A, B temporarily to drop failure, is resistant in sensitive equipment
By in section；If output thinks that the line fault will cause the voltage-sensitive user generation area C, D and temporarily drop failure for+1, in sensitivity
In the not tolerable section of equipment.
2. a kind of voltage-sensitive consumer networks weak spot recognition methods as described in claim 1, which is characterized in that the route
Whether fault type, route Suo Jie substation are connected directly with 500kV substation, the line voltage distribution grade is from production
It is directly acquired in running equipment management system PMS2.0；The route and user PCC point electrical distance, the connect power transformation of the route
Bus minimum capacity of short circuit of standing is calculated by PSD-BPA stability program.
3. a kind of voltage-sensitive consumer networks weak spot recognition methods as described in claim 1, which is characterized in that the route
Fault type includes three phase short circuit fault, phase fault and single-phase earthing fault, and is denoted as 1,0.5 and 0 respectively.
4. a kind of voltage-sensitive consumer networks weak spot recognition methods as described in claim 1, which is characterized in that the route
Whether Suo Jie substation is connected directly with 500kV substation including being connected directly or not being connected directly, and is denoted as 1 and 0 respectively.
5. a kind of voltage-sensitive consumer networks weak spot recognition methods as described in claim 1, which is characterized in that for described
Whether line fault type, route Suo Jie substation are connected directly with 500kV substation, the line voltage distribution grade,
The connect substation bus bar minimum capacity of short circuit of route, described to be normalized to:
In formula: γ, γ ' respectively indicate the data value after former data value and normalization；I indicates i-th group of training data.
6. a kind of voltage-sensitive consumer networks weak spot recognition methods as described in claim 1, which is characterized in that for described
Route and user PCC point electrical distance, it is bigger to the influence degree of user's voltage dip, described to be normalized to:
In formula: β, β ' respectively indicate the data value after former data value and normalization；I indicates i-th group of training data.
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