CN110401193A - A kind of reconstruction method of power distribution network and power distribution network reconfiguration system - Google Patents
A kind of reconstruction method of power distribution network and power distribution network reconfiguration system Download PDFInfo
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- CN110401193A CN110401193A CN201910753974.XA CN201910753974A CN110401193A CN 110401193 A CN110401193 A CN 110401193A CN 201910753974 A CN201910753974 A CN 201910753974A CN 110401193 A CN110401193 A CN 110401193A
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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
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Abstract
The embodiment of the present application provides a kind of reconstruction method of power distribution network and power distribution network reconfiguration system, the method includes obtaining the first parameter information of power grid to be reconstructed and the second parameter information, and first operating parameter and the second operating parameter at the moment that has a power failure；The first computation model is constructed based on the first parameter information；The second computation model is constructed based on the second parameter information；Based on the first operating parameter and the first computation model, the first assessed value is obtained；Based on the second operating parameter and the second computation model, the second assessed value is obtained；Based on the first parameter information, the first initial frog population is generated, obtains third assessed value；Based on the second parameter information, the second initial frog population is generated, obtains the 4th assessed value；If the first assessed value is less than third assessed value, and the second assessed value then reconstructs power grid less than the 4th assessed value with the calculated value of every frog in the calculated value of every frog in the first initial frog population and the second initial frog population, the power grid after being optimized.
Description
Technical field
The invention relates to distribution feeder automation technical field, in particular to a kind of reconstruction method of power distribution network and
Power distribution network reconfiguration system.
Background technique
Currently, important medium of the feeder system as bridged subscriber end and power distribution network main structure, the degree of automation are straight
Connect the protection efficiency for being associated with entire distribution network system and opening.As the grid connection capacity of distributed power generation constantly expands, seeps
Saturating rate is constantly deepened, so that conventional radiation distributed network is becoming the development trend of active distributed formula network.Based on power distribution network
How the complexity of network provides optimal power distribution network as current one along with the access of distributed generation resource when restoring electricity
A difficult point.
Apply for content
The embodiment of the present application provides a kind of reconstruction method of power distribution network and power distribution network reconfiguration system.
Reconstruction method of power distribution network provided by the embodiments of the present application, comprising:
The first parameter information and the second parameter information of power grid to be reconstructed are obtained, and first operating parameter at the moment that has a power failure
With the second operating parameter；
The first computation model is constructed based on first parameter information；
The second computation model is constructed based on second parameter information；
Based on first operating parameter and first computation model, the first assessed value is obtained；
Based on second operating parameter and second computation model, the second assessed value is obtained；
Based on first parameter information, the first initial frog population corresponding with first parameter information, benefit are generated
Every initial frog in the described first initial frog population is calculated with shuffled frog leaping algorithm, obtains every initial frog
Calculated value obtain third assessed value and by first computation model；
Based on second parameter information, the second initial frog population corresponding with second parameter information, benefit are generated
Every initial frog in the described second initial frog population is calculated with shuffled frog leaping algorithm, obtains every initial frog
Calculated value obtain the 4th assessed value and by second computation model；
If first assessed value is less than the third assessed value, and second assessed value is less than the 4th assessment
Value, then with every in the calculated value of every frog in the described first initial frog population and the second initial frog population
The calculated value of frog reconstructs the power grid to be reconstructed.
It is described that first computation model is constructed based on first parameter information in some embodiments of the present application, comprising:
Transformer information and bus information based on the power grid to be reconstructed construct first computation model.
It is described that second computation model is constructed based on second parameter information in some embodiments of the present application, comprising:
The quantity and load factor of transformer based on the power grid to be reconstructed construct second computation model.
It is described that first computation model is constructed based on first parameter information in some embodiments of the present application, it is based on
Second parameter information constructs the second computation model, further includes:
Based on first parameter information and second parameter information, voltage constraint condition is created.
It is described that first computation model is constructed based on first parameter information in some embodiments of the present application, it is based on
Second parameter information constructs the second computation model, further includes:
Based on first parameter information and second parameter information, restriction of current condition is created.
In some embodiments of the present application, it is described using shuffled frog leaping algorithm in the described first initial frog population
When every initial frog is calculated, the circulation initial value of every initial frog in the described first initial frog population is set as
1；
It is described when being calculated using shuffled frog leaping algorithm every initial frog in the described second initial frog population,
The circulation initial value of every initial frog in described second initial frog population is set as change corresponding with the initial frog of this
Depressor is in the load factor at moment that has a power failure.
In some embodiments of the present application, the method also includes:
Based on first computation model, the first frog in the first initial frog population with worst value is obtained
And the second frog with optimal value；
If the worst value of first frog is not adjusted, the value of first frog is adjusted with the first step-length,
Wherein, the optimal value of worst value and second frog of first step-length at least based on first frog obtains.
In some embodiments of the present application, the method also includes:
Based on second computation model, the third frog in the second initial frog population with worst value is obtained
And the 4th frog with optimal value；
If the worst value of the third frog is not adjusted, the value of the third frog is adjusted with the second step-length,
Wherein, the optimal value of worst value and fourth frog of second step-length at least based on the third frog obtains.
The embodiment of the present application also provides a kind of power distribution network reconfiguration systems, comprising:
Module is obtained, when being used to obtain the first parameter information and the second parameter information of power grid to be reconstructed, and having a power failure
The first operating parameter and the second operating parameter carved；
First building module, is used to construct the first computation model based on first parameter information；
Second building module, is used to construct the second computation model based on second parameter information；
First obtains module, is used to be obtained first based on first operating parameter and first computation model and be commented
Valuation；
Second obtains module, is used to be obtained second based on second operating parameter and second computation model and be commented
Valuation；
First processing module is used to generate corresponding with first parameter information based on first parameter information
First initial frog population counts every initial frog in the described first initial frog population using shuffled frog leaping algorithm
It calculates, obtains the calculated value of every initial frog, and by first computation model, obtain third assessed value；
Second processing module is used to generate corresponding with second parameter information based on second parameter information
Second initial frog population counts every initial frog in the described second initial frog population using shuffled frog leaping algorithm
It calculates, obtains the calculated value of every initial frog, and by second computation model, obtain the 4th assessed value；
Reconstructed module, if being used for first assessed value less than the third assessed value, and second assessed value is small
In the 4th assessed value, then with the calculated value of every frog in the described first initial frog population and the second initial blueness
The calculated value of every frog in frog population reconstructs the power grid to be reconstructed.
In some embodiments of the present application, the first building module is specifically used for:
Transformer information and bus information based on the power grid to be reconstructed construct first computation model.
Disclosure based on the above embodiment can know that the embodiment of the present application has following the utility model has the advantages that it passes through structure
The first computation model and the second computation model built acquire grid power blackout moment to be reconstructed corresponding first assessed value and second
Assessed value, and then reconstruct grid power blackout moment corresponding first parameter information and the second parameter are being treated using shuffled frog leaping algorithm
Information is calculated, and then obtains corresponding third assessed value and the 4th assessed value, and is determining the first assessed value less than institute
Third assessed value is stated, and second assessed value is less than the 4th assessed value, then in the described first initial frog population
The calculated value reconstruct power grid to be reconstructed of the calculated value and every frog in the second initial frog population of every frog,
And then the power grid obtained after more preferably reconstruct improves the power supply of power distribution network so that power distribution network can be realized constantly intelligent optimization
Efficiency.
Detailed description of the invention
Fig. 1 is the flow chart of reconstruction method of power distribution network provided by the embodiments of the present application；
Fig. 2 is the block diagram of power distribution network reconfiguration system provided by the embodiments of the present application.
Specific embodiment
In the following, being described in detail in conjunction with specific embodiment of the attached drawing to the application, but not as the restriction of the application.
It should be understood that various modifications can be made to disclosed embodiments.Therefore, following description should not regard
To limit, and only as the example of embodiment.Those skilled in the art will expect within the scope and spirit of this
Other modifications.
The attached drawing being included in the description and forms part of the description shows embodiment of the disclosure, and with it is upper
What face provided is used to explain the disclosure together to substantially description and the detailed description given below to embodiment of the disclosure
Principle.
By the description of the preferred form with reference to the accompanying drawings to the embodiment for being given as non-limiting example, the application's
These and other characteristic will become apparent.
It is also understood that although the application is described referring to some specific examples, those skilled in the art
Member realizes many other equivalents of the application in which can determine, they have feature as claimed in claim and therefore all
In the protection scope defined by whereby.
When read in conjunction with the accompanying drawings, in view of following detailed description, above and other aspect, the feature and advantage of the disclosure will become
It is more readily apparent.
The specific embodiment of the disclosure is described hereinafter with reference to attached drawing；It will be appreciated, however, that the disclosed embodiments are only
Various ways implementation can be used in the example of the disclosure.Known and/or duplicate function and structure and be not described in detail to avoid
Unnecessary or extra details makes the disclosure smudgy.Therefore, specific structural and functionality disclosed herein is thin
Section is not intended to restrictions, but as just the basis of claim and representative basis be used to instructing those skilled in the art with
Substantially any appropriate detailed construction diversely uses the disclosure.
This specification can be used phrase " in one embodiment ", " in another embodiment ", " in another embodiment
In " or " in other embodiments ", it can be referred to one or more of the identical or different embodiment according to the disclosure.
In the following, the embodiment of the present application is described in detail in conjunction with attached drawing.
The embodiment of the present application provides a kind of reconstruction method of power distribution network, as shown in Figure 1, comprising:
The first parameter information and the second parameter information of power grid to be reconstructed are obtained, and first operating parameter at the moment that has a power failure
With the second operating parameter；
The first computation model is constructed based on first parameter information；
The second computation model is constructed based on second parameter information；
Based on first operating parameter and first computation model, the first assessed value is obtained；
Based on second operating parameter and second computation model, the second assessed value is obtained；
Based on first parameter information, the first initial frog population corresponding with first parameter information, benefit are generated
Every initial frog in the described first initial frog population is calculated with shuffled frog leaping algorithm, obtains every initial frog
Calculated value obtain third assessed value and by first computation model；
Based on second parameter information, the second initial frog population corresponding with second parameter information, benefit are generated
Every initial frog in the described second initial frog population is calculated with shuffled frog leaping algorithm, obtains every initial frog
Calculated value obtain the 4th assessed value and by second computation model；
If first assessed value is less than the third assessed value, and second assessed value is less than the 4th assessment
Value, then with every in the calculated value of every frog in the described first initial frog population and the second initial frog population
The calculated value of frog reconstructs the power grid to be reconstructed.
Through the above technical solution it is found that its by construct the first computation model and the second computation model acquire to
Grid power blackout moment corresponding first assessed value and the second assessed value are reconstructed, and then is treating reconstruct electricity using shuffled frog leaping algorithm
Net has a power failure moment corresponding first parameter information and the second parameter information is calculated, so obtain corresponding third assessed value and
4th assessed value, and determining that the first assessed value is less than the third assessed value, and second assessed value is less than described the
Four assessed values, then in the calculated value of every frog in the described first initial frog population and the second initial frog population
The calculated value of every frog reconstruct the power grid to be reconstructed, and then obtain the power grid after more preferably reconstruct, enable power distribution network
It is enough to realize constantly intelligent optimization, improve the power supply efficiency of power distribution network.
It is described that first computation model is constructed based on first parameter information in some embodiments of the present application, comprising:
Transformer information and bus information based on the power grid to be reconstructed construct first computation model.Specifically, this first
The formula of computation model are as follows:
In formula, VrefFor transformer nominal voltage per unit value；N is number of nodes (bus number at different levels)；ViFor each busbar voltage mark
Value.Specifically, in the present embodiment, VrefTransformer nominal voltage per unit value takes 1.0, also, to transformer and bus
When being encoded, encoded using loop coding mode.
It is described that second computation model is constructed based on second parameter information in some embodiments of the present application, comprising:
The quantity and load factor of transformer based on the power grid to be reconstructed construct second computation model.Specifically, this second
The formula of computation model are as follows:
In formula, TiFor the load factor of main transformer i；For N platform transformer Rate of average load.In the present embodiment, to change
When depressor is encoded, encoded using loop coding mode.
It is described that first computation model is constructed based on first parameter information in some embodiments of the present application, it is based on
Second parameter information constructs the second computation model, further includes: is believed based on first parameter information and second parameter
Breath creates voltage constraint condition.Specifically, the voltage constraint condition are as follows:
Vmin≤|Vi|≤VmaxI ∈ { 1,2,3 ..., N }
In formula, VminFor i-node or the voltage tolerance minimum value of i bus, VmaxPermit for the voltage of i-node or i bus
Perhaps deviation maximum value, wherein the deviation that the voltage of i-node or i bus allows is set when designing the power distribution network.
It is described that first computation model is constructed based on first parameter information in some embodiments of the present application, it is based on
Second parameter information constructs the second computation model, further includes: is believed based on first parameter information and second parameter
Breath creates restriction of current condition.Specifically, the restriction of current condition are as follows:
|Ik|≤ImaxK ∈ { 1,2,3 ..., L }
In formula, IkFor the current value on the road of k；ImaxFor each branch maximum current value, wherein the corresponding maximum of each branch
Current value is set when designing the power distribution network；L is branch sum.
In some embodiments of the present application, it is described using shuffled frog leaping algorithm in the described first initial frog population
When every initial frog is calculated, the circulation initial value of every initial frog in the described first initial frog population is set as
1；It is described when being calculated using shuffled frog leaping algorithm every initial frog in the described second initial frog population, it will be described
The circulation initial value of every initial frog in second initial frog population is set as transformer corresponding with the initial frog of this and exists
The load factor at power failure moment.Specifically, it is described using shuffled frog leaping algorithm at the beginning of every in the described first initial frog population
When beginning frog is calculated, the circulation initial value of the corresponding voltage per unit value of each bus is set as 1, and Load flow calculation, into
And obtain the calculated value of every initial frog, and will in the described first initial frog population be discontented with afc voltage constraint condition and/or
The calculated value of the initial frog of restriction of current condition carries out being cyclically updated operation, and equal in the calculated value of final every initial frog
It is described to weight with the calculated value reconstruct of every initial frog when meeting the voltage constraint condition and the restriction of current condition
Structure power grid；It is described when being calculated using shuffled frog leaping algorithm every initial frog in the described second initial frog population,
The circulation initial value of the corresponding load factor of each transformer is set as in the load factor at moment that has a power failure, and Load flow calculation, and then
To the calculated value of every initial frog, and afc voltage constraint condition and/or electric current will be discontented in the described second initial frog population
The calculated value of the initial frog of constraint condition carries out being cyclically updated operation, and is all satisfied in the calculated value of final every initial frog
When the voltage constraint condition and the restriction of current condition, the electricity to be reconstructed is reconstructed with the calculated value of every initial frog
Net.
In some embodiments of the present application, the method also includes: it is based on first computation model, obtains described the
The first frog with worst value and the second frog with optimal value in one initial frog population；If described first is green
The worst value of the frog is not adjusted, then, the value of first frog is adjusted with the first step-length, wherein first step-length is extremely
The optimal value of few worst value and second frog based on first frog obtains.It specifically, can be described the
The sum of the worst value of one frog and the optimal value of second frog are seized the opportunity with a random number, wherein the random number is
Any number between 0-1.In the present embodiment, following formula can be used to calculate:
D=rand × (Xb+Xw.old)
In formula, random number of the rand between 0-1；XbFor the optimal value in frog population；Xw.oldFor last time in population
Worst value when calculating；D is the first step-length, that is, be adjusted with value of first step-length to frog, and can be set this
One step-length D is greater than minimum step, and is less than maximum step-length.
In some embodiments of the present application, the method also includes: it is based on second computation model, obtains described the
Third frog with worst value and the 4th frog with optimal value in two initial frog populations；If the third is green
The worst value of the frog is not adjusted, then, the value of the third frog is adjusted with the second step-length, wherein second step-length is extremely
The optimal value of few worst value and the 4th frog based on the third frog obtains.
D=rand × (Xg+Xw.old)
In formula, Xg is the optimal value in frog population.
The embodiment of the present application also provides a kind of power distribution network reconfiguration systems, as shown in Figure 2, comprising:
Module 1 is obtained, when being used to obtain the first parameter information and the second parameter information of power grid to be reconstructed, and having a power failure
The first operating parameter and the second operating parameter carved；
First building module 2, is used to construct the first computation model based on first parameter information；
Second building module 3, is used to construct the second computation model based on second parameter information；
First obtains module 4, is used to be obtained first based on first operating parameter and first computation model and be commented
Valuation；
Second obtains module 5, is used to be obtained second based on second operating parameter and second computation model and be commented
Valuation；
First processing module 6 is used to generate corresponding with first parameter information based on first parameter information
First initial frog population counts every initial frog in the described first initial frog population using shuffled frog leaping algorithm
It calculates, obtains the calculated value of every initial frog, and by first computation model, obtain third assessed value；
Second processing module 7 is used to generate corresponding with second parameter information based on second parameter information
Second initial frog population counts every initial frog in the described second initial frog population using shuffled frog leaping algorithm
It calculates, obtains the calculated value of every initial frog, and by second computation model, obtain the 4th assessed value；
Reconstructed module 8, if being used for first assessed value less than the third assessed value, and second assessed value is small
In the 4th assessed value, then with the calculated value of every frog in the described first initial frog population and the second initial blueness
The calculated value of every frog in frog population reconstructs the power grid to be reconstructed.
In some embodiments of the present application, the first building module 2 is specifically used for: based on the power grid to be reconstructed
Transformer information and bus information construct first computation model.
In some embodiments of the present application, the second building module 3 is specifically used for: based on the power grid to be reconstructed
The quantity and load factor of transformer construct second computation model.
In some embodiments of the present application, the first acquisition module 4 and/described second obtains the also specific use of model 5
In: it is based on first parameter information and second parameter information, creates voltage constraint condition.
In some embodiments of the present application, the first acquisition module 4 and/described second obtains the also specific use of model 5
In: it is based on first parameter information and second parameter information, creates restriction of current condition.
In some embodiments of the present application, the first processing module 6 also particularly useful for: it is described using mixing leapfrog
It, will be in the described first initial frog population when algorithm calculates every initial frog in the described first initial frog population
The circulation initial value of every initial frog be set as 1；The Second processing module 7 also particularly useful for: it is described using mixing the frog
When jump algorithm calculates every initial frog in the described second initial frog population, by the described second initial frog population
In the circulation initial value of every initial frog be set as transformer corresponding with the initial frog of this in the load factor at moment that has a power failure.
In some embodiments of the present application, the first processing module 6 also particularly useful for: based on it is described first calculate mould
Type obtains the first frog in the first initial frog population with worst value and the second blueness with optimal value
The frog；If the worst value of first frog is not adjusted, the value of first frog is adjusted with the first step-length, wherein
The optimal value of worst value and second frog of first step-length at least based on first frog obtains.
In some embodiments of the present application, the Second processing module 7 also particularly useful for: based on it is described second calculate mould
Type obtains the third frog in the second initial frog population with worst value and the 4th blueness with optimal value
The frog；If the worst value of the third frog is not adjusted, the value of the third frog is adjusted with the second step-length, wherein
The optimal value of worst value and fourth frog of second step-length at least based on the third frog obtains.
It is apparent to those skilled in the art that for convenience and simplicity of description, the data of foregoing description
The electronic equipment that processing method is applied to, can be with reference to the corresponding description in before-mentioned products embodiment, and details are not described herein.
Above embodiments are only the exemplary embodiment of the application, are not used in limitation the application, the protection scope of the application
It is defined by the claims.Those skilled in the art can make respectively the application in the essence and protection scope of the application
Kind modification or equivalent replacement, this modification or equivalent replacement also should be regarded as falling within the scope of protection of this application.
Claims (10)
1. a kind of reconstruction method of power distribution network characterized by comprising
Obtain the first parameter information and the second parameter information of power grid to be reconstructed, and first operating parameter and the at the moment that has a power failure
Two operating parameters；
The first computation model is constructed based on first parameter information；
The second computation model is constructed based on second parameter information；
Based on first operating parameter and first computation model, the first assessed value is obtained；
Based on second operating parameter and second computation model, the second assessed value is obtained；
Based on first parameter information, the first initial frog population corresponding with first parameter information is generated, using mixing
It closes the algorithm that leapfrogs to calculate every initial frog in the described first initial frog population, obtains the meter of every initial frog
Calculation value, and by first computation model, obtain third assessed value；
Based on second parameter information, the second initial frog population corresponding with second parameter information is generated, using mixing
It closes the algorithm that leapfrogs to calculate every initial frog in the described second initial frog population, obtains the meter of every initial frog
Calculation value, and by second computation model, obtain the 4th assessed value；
If first assessed value is less than the third assessed value, and second assessed value is less than the 4th assessed value, then
With every frog in the calculated value of every frog in the described first initial frog population and the second initial frog population
Calculated value reconstruct the power grid to be reconstructed.
2. reconstruction method of power distribution network according to claim 1, which is characterized in that described to be based on the first parameter information structure
Build the first computation model, comprising:
Transformer information and bus information based on the power grid to be reconstructed construct first computation model.
3. reconstruction method of power distribution network according to claim 2, which is characterized in that described to be based on the second parameter information structure
Build the second computation model, comprising:
The quantity and load factor of transformer based on the power grid to be reconstructed construct second computation model.
4. reconstruction method of power distribution network according to claim 3, which is characterized in that described to be based on the first parameter information structure
The first computation model is built, the second computation model is constructed based on second parameter information, further includes:
Based on first parameter information and second parameter information, voltage constraint condition is created.
5. reconstruction method of power distribution network according to claim 4, which is characterized in that described to be based on the first parameter information structure
The first computation model is built, the second computation model is constructed based on second parameter information, further includes:
Based on first parameter information and second parameter information, restriction of current condition is created.
6. reconstruction method of power distribution network according to claim 5, which is characterized in that
It is described when being calculated using shuffled frog leaping algorithm every initial frog in the described first initial frog population, by institute
The circulation initial value for stating every in the first initial frog population initial frog is set as 1；
It is described when being calculated using shuffled frog leaping algorithm every initial frog in the described second initial frog population, by institute
The circulation initial value for stating every in the second initial frog population initial frog is set as transformer corresponding with the initial frog of this
In the load factor at moment that has a power failure.
7. reconstruction method of power distribution network according to claim 6, which is characterized in that the method also includes:
Based on first computation model, obtain the first frog in the first initial frog population with worst value and
The second frog with optimal value；
If the worst value of first frog is not adjusted, the value of first frog is adjusted with the first step-length,
In, the optimal value of worst value and second frog of first step-length at least based on first frog obtains.
8. reconstruction method of power distribution network according to claim 7, which is characterized in that the method also includes:
Based on second computation model, obtain third frog in the second initial frog population with worst value and
The 4th frog with optimal value；
If the worst value of the third frog is not adjusted, the value of the third frog is adjusted with the second step-length,
In, the optimal value of worst value and fourth frog of second step-length at least based on the third frog obtains.
9. a kind of power distribution network reconfiguration system characterized by comprising
Module is obtained, is used to obtain the first parameter information and the second parameter information of power grid to be reconstructed, and have a power failure the moment
First operating parameter and the second operating parameter；
First building module, is used to construct the first computation model based on first parameter information；
Second building module, is used to construct the second computation model based on second parameter information；
First obtains module, is used to obtain the first assessed value based on first operating parameter and first computation model；
Second obtains module, is used to obtain the second assessed value based on second operating parameter and second computation model；
First processing module is used to generate and first parameter information corresponding first based on first parameter information
Initial frog population, calculates every initial frog in the described first initial frog population using shuffled frog leaping algorithm,
The calculated value of every initial frog is obtained, and by first computation model, obtains third assessed value；
Second processing module is used to generate and second parameter information corresponding second based on second parameter information
Initial frog population, calculates every initial frog in the described second initial frog population using shuffled frog leaping algorithm,
The calculated value of every initial frog is obtained, and by second computation model, obtains the 4th assessed value；
Reconstructed module, if being used for first assessed value less than the third assessed value, and second assessed value is less than institute
The 4th assessed value is stated, then with the calculated value of every frog in the described first initial frog population and the second initial frog kind
The calculated value of every frog in group reconstructs the power grid to be reconstructed.
10. power distribution network reconfiguration system according to claim 9, which is characterized in that the first building module is specifically used for:
Transformer information and bus information based on the power grid to be reconstructed construct first computation model.
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