CN109544012A - Analysis method and system for operation efficiency of power distribution network - Google Patents
Analysis method and system for operation efficiency of power distribution network Download PDFInfo
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Abstract
The invention discloses a method for analyzing the operation efficiency of a power distribution network, which comprises the following steps: establishing a direct influence degree matrix of each variable on the operation efficiency of the power distribution network and a coupling degree matrix of each variable; calculating according to the direct influence degree matrix to obtain a direct influence degree standardization matrix and calculating according to the coupling degree matrix to obtain an indirect influence degree standardization matrix of each variable on the operation efficiency of the power distribution network; respectively calculating the combined influence degree of each variable on the operation efficiency of the power distribution network according to the direct influence degree standardized matrix and the indirect influence degree standardized matrix; calculating the growth coefficient of each variable; and determining the variable meeting the inefficient condition as the reason of the inefficient operation efficiency of the power distribution network according to the combined influence degree and the growth coefficient of each variable. The method is more scientific and reasonable, and the reason that the operation efficiency of the power distribution network is low can be accurately determined. The invention also provides an analysis system for the operation efficiency of the power distribution network and a computer readable storage medium, which have the technical effects.
Description
Technical field
The present invention relates to distribution network technology field, in particular to a kind of analysis method of power distribution network operational efficiency；It further relates to
A kind of analysis system and computer readable storage medium of power distribution network operational efficiency.
Background technique
Under the background of lean management, power distribution network big data platform is widely used, to pass through the fortune of assessment power distribution network
The single device utilization power and total assets efficiency of operation of line efficiency understanding power distribution network.It, can based on operational efficiency monitor supervision platform
To find Low Performance Equipment and weakness zone in time, the reason for causing operational efficiency lower is then analyzed, to targetedly mention
Corrective measure out.
The operational efficiency of power distribution network be easy by power distribution network " N-x " safety criterion, the equipment operation time limit, part throttle characteristics and
The influence of the variables such as load importance.Currently, conventional electrical distribution net Analysis of operation efficiency scheme is mainly the analysis side based on data
Method analyzes the incidence coefficient of each variable Yu power distribution network operational efficiency by regression fit or grey correlation, incidence coefficient compared with
Big variable is then used as the reason of inefficiency of power distribution network operational efficiency.The precision of analysis of this analytical plan is lower, has been unable to satisfy
The demand of lean management.
In view of this, how to provide a kind of scientific and reasonable power distribution network Analysis of operation efficiency scheme, distribution is accurately determined
The inefficient reason of net operational efficiency is those skilled in the art's technical problem urgently to be resolved.
Summary of the invention
The object of the present invention is to provide a kind of analysis method of power distribution network operational efficiency, system and computer-readable storages
Medium, analysis power distribution network operational efficiency that can be more scientific and reasonable accurately determine the inefficient reason of power distribution network operational efficiency.
In order to solve the above technical problems, the present invention provides a kind of analysis methods of power distribution network operational efficiency, comprising:
Each variable is established to degree of the directly affecting matrix of power distribution network operational efficiency and the degree of coupling matrix of each variable；
Degree of directly affecting normalized matrix is calculated according to degree of the directly affecting matrix and according to the degree of coupling
Each variable is calculated to the indirect disturbance degree normalized matrix of the power distribution network operational efficiency in matrix；
It calculates separately to obtain according to degree of the directly affecting normalized matrix and the indirect disturbance degree normalized matrix each
Combined effect degree of the variable to the power distribution network operational efficiency；
Calculate the growth factor of each variable；
According to the combined effect degree of each variable and the growth factor, the change for meeting inefficient condition is determined
Amount is the inefficient reason of the power distribution network operational efficiency.
It is optionally, described to establish each variable to degree of the directly affecting matrix of power distribution network operational efficiency, comprising:
Expert is received to the disturbance degree evaluation of estimate of each variable；
According to each disturbance degree evaluation of estimate, established by 1-9 scaling law
Wherein, the n is expert's number, and the m is the number of the variable, and the A is degree of the directly affecting matrix,
The aijIt is i-th of expert to the disturbance degree evaluation of estimate of j-th of variable.
Optionally, the degree of coupling matrix of each variable is established, comprising:
The expert is received to the degree of coupling evaluation of estimate of the variable；
According to each degree of coupling evaluation of estimate, established by 1-9 scaling law
Wherein,The D is the degree of coupling matrix, the dsjIt is the expert to s-th of change
The degree of coupling evaluation of estimate of amount and j-th of variable；It is describedIt is p-th of expert to s-th of variable and j-th of change
The degree of coupling evaluation of estimate of amount.
Optionally, degree of directly affecting normalized matrix is calculated in the matrix of the degree of directly affecting according to, comprising:
Passed through according to degree of the directly affecting matrixAndObtain C=[c1, c2, cj…cm]；
Wherein, the C is degree of the directly affecting normalized matrix, the bjFor j-th of variable disturbance degree entropy,
cjFor j-th of variable disturbance degree weight.
Optionally, described that each variable is calculated to the power distribution network operational efficiency according to the degree of coupling matrix
Indirect disturbance degree normalized matrix, comprising:
Passed through according to the degree of coupling matrixObtain the indirect disturbance degree standardization
Matrix；
Wherein, the E is the indirect disturbance degree normalized matrix, and the I is unit matrix.
Optionally, the normalized matrix of the degree of directly affecting according to and the indirect disturbance degree normalized matrix are distinguished
Each variable is calculated to the combined effect degree of the power distribution network operational efficiency, comprising:
Pass throughCalculate separately to obtain each variable to power distribution network operation effect
The combined effect degree of rate；
Wherein, the wjIt is j-th of variable to the combined effect degree of the power distribution network operational efficiency, the fjFor in
Between variable, the eijWith the ejiFor the element of the indirect disturbance degree normalized matrix.
Optionally, the growth factor for calculating each variable, comprising:
Using predetermined time t as starting point, according to power distribution network operational efficiency described in prefixed time interval acquisition preset times
The numerical value of data and each variable；
Pass throughThe growth factor of each variable is calculated；
Wherein, the lejFor the growth factor of j-th of variable, the t is the predetermined time, and the Δ t is institute
Prefixed time interval is stated, the k is the preset times, the ytIt is described for the data of power distribution network operational efficiency described in t moment
yt+qΔtFor the data of power distribution network operational efficiency described in t+q time Δt, the q is q-th of prefixed time interval, xj,tFor t moment
The numerical value of j-th of variable, xj,t+qΔtThe numerical value of variable described in j-th when for t+q Δ t.
Optionally, the combined effect degree according to each variable and the growth factor, determination meet inefficient
The variable of condition is the inefficient reason of the power distribution network operational efficiency, comprising:
According to the combined effect degree of each variable and the growth factor, determines and meetIt is described
Variable is the inefficient reason of the power distribution network operational efficiency；Wherein, the β is inefficient coefficient of analysis.
In order to solve the above technical problems, the present invention also provides a kind of analysis systems of power distribution network operational efficiency, comprising:
Module is established, for establishing each variable to degree of the directly affecting matrix and each variable of power distribution network operational efficiency
Degree of coupling matrix；
First computing module, for the matrix of the degree of directly affecting according to be calculated degree of directly affecting normalized matrix with
And each variable is calculated according to the degree of coupling matrix, the indirect disturbance degree of the power distribution network operational efficiency is standardized
Matrix；
Second computing module standardizes square for the normalized matrix of the degree of directly affecting according to and the indirect disturbance degree
Battle array calculates separately to obtain each variable to the combined effect degree of the power distribution network operational efficiency；
Third computing module, for calculating the growth factor of each variable；
Analysis module, for the combined effect degree and the growth factor according to each variable, judgement is each respectively
Whether the variable meets inefficient condition；If satisfied, then determining that the variable is the inefficient reason of the power distribution network operational efficiency.
In order to solve the above technical problems, the computer can the present invention also provides a kind of computer readable storage medium
It reads to be stored with computer program on storage medium, be realized as described in any of the above-described when the computer program is executed by processor
Power distribution network operational efficiency analysis method the step of.
The analysis method of power distribution network operational efficiency provided by the present invention, comprising: establish each variable and effect is run to power distribution network
The degree of coupling matrix of degree of the directly affecting matrix of rate and each variable；It is calculated directly according to degree of the directly affecting matrix
It connects disturbance degree normalized matrix and each variable is calculated according to the degree of coupling matrix and effect is run to the power distribution network
The indirect disturbance degree normalized matrix of rate；Square is standardized according to degree of the directly affecting normalized matrix and the indirect disturbance degree
Battle array calculates separately to obtain each variable to the combined effect degree of the power distribution network operational efficiency；Calculate the growth of each variable
Coefficient；According to the combined effect degree of each variable and the growth factor, the variable for meeting inefficient condition is determined
For the reason that the power distribution network operational efficiency is inefficient.
Traditional analytical plan, which focuses primarily upon, analyzes a certain link of power distribution network or a certain variable, and shortage pair
Distribution network planning, construction, operation, maintenance whole process analysis, when situational variables, mostly each variable is individually discussed or into
Row simple syndication has ignored the inner link between each variable, so that the low original of power distribution network operational efficiency can not be analyzed accurately
Cause.
Obviously, compared to above-mentioned traditional analytical plan, the analysis method of power distribution network operational efficiency provided by the present invention,
Each variable is not only analyzed to the degree of directly affecting of power distribution network operational efficiency, it is also contemplated that the degree of coupling between each variable analyzes each change
The indirect disturbance degree to power distribution network operational efficiency is measured, and then each variable of overall power distribution net directly affects power distribution network operational efficiency
The degree of coupling between degree and each variable, obtains each variable to the combined effect degree of power distribution network operational efficiency, is further seeking
On the basis of the growth factor of each variable, according to combined effect degree and growth factor, the inefficient original of power distribution network operational efficiency is determined
Cause, analysis power distribution network operational efficiency that can be more scientific and reasonable accurately determine the inefficient reason of power distribution network operational efficiency.
The analysis system and computer readable storage medium of power distribution network operational efficiency provided by the present invention all have
State technical effect.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to institute in the prior art and embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of flow diagram of the analysis method of power distribution network operational efficiency provided by the embodiment of the present invention；
Fig. 2 is a kind of schematic diagram of the analysis system of power distribution network operational efficiency provided by the embodiment of the present invention.
Specific embodiment
Core of the invention is to provide the analysis method, system and computer-readable storage of a kind of power distribution network operational efficiency
Medium, analysis power distribution network operational efficiency that can be more scientific and reasonable accurately determine the inefficient reason of power distribution network operational efficiency.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Referring to FIG. 1, Fig. 1 is the process signal of the analysis method of power distribution network operational efficiency provided by the embodiment of the present invention
Figure；In conjunction with Fig. 1 it is found that the analysis method includes:
S100: each variable is established to degree of the directly affecting matrix of power distribution network operational efficiency and the degree of coupling square of each variable
Battle array；
Specifically, the present invention is not limited to situational variables to the degree of directly affecting of power distribution network operational efficiency, it is also contemplated that each to become
The degree of coupling between amount analyzes each variable to the indirect disturbance degree of power distribution network operational efficiency.Therefore this step is establishing each variable to matching
While degree of the directly affecting matrix of operation of power networks efficiency, the degree of coupling matrix of the degree of coupling between each variable is also set up, for after
Continuous comprehensive each variable determines that power distribution network operational efficiency is inefficient to the degree of directly affecting of power distribution network operational efficiency and indirect disturbance degree
Reason provides foundation.Wherein, for the concrete type and quantity of above-mentioned variable, the present invention does not do unique restriction, can basis
Suitable type and quantity is arranged in actual conditions, for example, variable may include that the equipment operation time limit, part throttle characteristics, load are important
Property, power distribution network " N-x " safety criterion etc..
Optionally, it is above-mentioned establish each variable to degree of the directly affecting matrix of power distribution network operational efficiency may include: receive it is special
Disturbance degree evaluation of estimate of the family to each variable；According to each disturbance degree evaluation of estimate, established by 1-9 scaling law
Wherein, n is expert's number, and m is the number of variable, and A is degree of directly affecting matrix, aijIt is i-th of expert to the shadow of j-th of variable
Loudness evaluation value.
Power distribution network operational efficiency is directly affected specifically, the present embodiment establishes each variable based on the subjective experience of expert
Matrix is spent, to improve the reliability for directly affecting matrix.Specifically, the mode of consultant expert can be taken, pass through consultant expert
Each expert is obtained to the disturbance degree evaluation of estimate of each variable, and then according to each disturbance degree evaluation of estimate, establishes to obtain by 1-9 scaling law
Degree of directly affecting matrix of each variable to power distribution network operational efficiencyEach element in degree of the directly affecting matrix
The disturbance degree evaluation of estimate of as each variable.Wherein, n is expert's number, and m is the number of variable, element aijIt is i-th of expert to
The disturbance degree evaluation of estimate of j variable, i.e. n expert respectively analyze m variable, to obtain degree of directly affecting matrix
In n × m disturbance degree evaluation of estimate.Certainly, unique restriction is not done for the particular number present invention of expert equally, it can basis
Actual needs makes otherness selection.
Optionally, the above-mentioned degree of coupling matrix for establishing each variable may include: and receive expert to evaluate the degree of coupling of variable
Value；According to each degree of coupling evaluation of estimate, established by 1-9 scaling lawWherein,D is
Degree of coupling matrix, dsjIt is expert to the degree of coupling evaluation of estimate of s-th of variable and j-th of variable；It is p-th of expert to s-th
The degree of coupling evaluation of estimate of variable and j-th of variable.
Specifically, the present embodiment equally takes the mode of consultant expert to obtain the coupling in each variable between any two variable
Evaluation of estimate is spent, and then establishes to obtain the degree of coupling matrix of each variable by 1-9 scaling lawWherein,dsjIt is expert group to the degree of coupling evaluation of estimate of s-th of variable and j-th of variable；It is p-th of expert to
The degree of coupling evaluation of estimate of s variable and j-th of variable.I.e. on the basis of obtaining each degree of coupling evaluation of estimate, for different experts
To the degree of coupling evaluation of estimate of identical two variables, further pass throughSynthesis obtains expert group to two variables
Degree of coupling evaluation of estimate, i.e., degree of coupling evaluation of estimate of each expert to same two variables is done into product first, then opens n times root again
Number, for example, expert's number is 2, wherein the degree of coupling of first expert to the two variables of part throttle characteristics Yu load importance
Evaluation of estimate is 10, and second expert is 8.1 to the degree of coupling evaluation of estimate of the two variables of part throttle characteristics Yu load importance, then most
Obtaining expert eventually is 9 to the degree of coupling evaluation of estimate of part throttle characteristics Yu load importance the two variables.
S200: degree of directly affecting normalized matrix is calculated according to degree of directly affecting matrix and according to degree of coupling matrix
Each variable is calculated to the indirect disturbance degree normalized matrix of power distribution network operational efficiency；
Specifically, establishing each variable to degree of the directly affecting matrix and each variable of power distribution network operational efficiency in step S100
Degree of coupling matrix on the basis of, further, degree of directly affecting normalized matrix, and root are calculated according to degree of directly affecting matrix
Each variable is calculated to the indirect disturbance degree normalized matrix of power distribution network operational efficiency according to degree of coupling matrix.
In a kind of specific embodiment, degree of directly affecting standardization is calculated in above-mentioned basis degree of directly affecting matrix
Matrix may include: to be passed through according to degree of directly affecting matrix AndObtain C=[c1, c2, cj…cm]；Wherein, C is degree of directly affecting normalized matrix, bjFor j-th of variable disturbance degree
Entropy, cjFor j-th of variable disturbance degree weight.
Specifically, being passed through first according to each element in degree of directly affecting matrixIt calculates separately to obtain the variable disturbance degree entropy of each variable, then root
According to each variable disturbance degree entropy, pass throughIt calculates separately to obtain the variable disturbance degree weight of each variable, and then obtains
Degree of directly affecting standardizes Matrix C.
In a specific embodiment, above-mentioned that each variable is calculated to power distribution network operational efficiency according to degree of coupling matrix
Indirect disturbance degree normalized matrix may include:
According to degree of coupling matrix, pass throughObtain indirect disturbance degree normalized matrix；Its
In, E is indirect disturbance degree normalized matrix, and I is unit matrix.
Specifically, according toMatrix operation is carried out to degree of coupling matrix D, between obtaining
Meet disturbance degree normalized matrix E.
S300: it calculates separately to obtain each variable according to degree of directly affecting normalized matrix and indirect disturbance degree normalized matrix
To the combined effect degree of power distribution network operational efficiency；
Specifically, degree of directly affecting and indirect disturbance degree of the comprehensive each variable of this step to power distribution network operational efficiency, according to
Degree of directly affecting normalized matrix and indirect disturbance degree normalized matrix calculate separately to obtain each variable to power distribution network operational efficiency
Combined effect degree.
Optionally, above-mentioned basis degree of directly affecting normalized matrix calculates separately to obtain with indirect disturbance degree normalized matrix
Each variable may include: to the combined effect degree of power distribution network operational efficiency
Pass throughIt calculates separately to obtain combination of each variable to power distribution network operational efficiency
Disturbance degree；Wherein, wjIt is j-th of variable to the combined effect degree of power distribution network operational efficiency, fjFor intermediate variable, eijWith ejiFor
Connect the element of disturbance degree normalized matrix.
Specifically, eijWith ejiFor the element of indirect disturbance degree normalized matrix, cjFor degree of directly affecting normalized matrix
Element ought take when i, j are taken respectively all over its permissible value all over indirect disturbance degree normalized matrix and degree of directly affecting standardization square
Each element in battle array, and corresponding substitutionWithAfterwards, each variable can be respectively obtained to power distribution network
The combined effect degree of operational efficiency.
S400: the growth factor of each variable is calculated；
Specifically, this step is intended to calculate the growth factor of each variable, it is specifically based on objective operation data and carries out growth system
Number calculates.
In a kind of specific embodiment, the growth factor of above-mentioned each variable of calculating may include: to be with predetermined time
Starting point acquires the data of preset times power distribution network operational efficiency and the numerical value of each variable according to prefixed time interval；Pass throughThe growth factor of each variable is calculated；Wherein, lejFor the increasing of j-th of variable
Long coefficient, t are predetermined time, and Δ t is prefixed time interval, and k is preset times, ytFor the number of t moment power distribution network operational efficiency
According to yt+qΔtFor the data of t+q time Δt power distribution network operational efficiency, q is q-th of prefixed time interval, xj,tIt is j-th of t moment
The numerical value of variable, xj,t+qΔtThe numerical value of j-th of variable when for t+q Δ t.
Specifically, can be prefixed time interval by starting point, Δ t of predetermined time t within a certain short time, acquires k times and match
The numerical value of the data of operation of power networks efficiency and each variable, and then on the basis of obtaining each data, by the corresponding substitution of each dataObtain the growth factor of each variable.
S500: according to the combined effect degree and growth factor of each variable, determine that the variable for meeting inefficient condition is power distribution network
The inefficient reason of operational efficiency.
Specifically, the purpose of this step is after completing above-mentioned each operation, it is final to determine that power distribution network operational efficiency is inefficient
The reason of.
In a kind of specific embodiment, above-mentioned combined effect degree and growth factor according to each variable determines and meets
The variable of inefficient condition is that the inefficient reason of power distribution network operational efficiency may include: the combined effect degree according to each variable and increase
Coefficient determines and meetsVariable be the inefficient reason of power distribution network operational efficiency；Wherein, β is inefficient coefficient of analysis.
Specifically, a kind of relatively simple determination scheme is present embodiments provided, it specifically can be respectively by the combination of each variable
Disturbance degree and growth factor substitute intoIn, judgementIt is whether true, if so, then corresponding variable is
The inefficient reason of power distribution network operational efficiency.Wherein, the specific value of inefficient coefficient of analysis β can be in conjunction with actual needs setting, this
Invention it is not limited here, for example, can be set to a lesser numerical value, such as 0.2.
In conclusion the analysis method of power distribution network operational efficiency provided by the present invention, not only analyzes each variable to distribution
The degree of directly affecting of net operational efficiency, it is also contemplated that the degree of coupling between each variable analyzes each variable to power distribution network operational efficiency
Indirect disturbance degree, and then each variable of overall power distribution net is to the coupling between the degree of directly affecting and each variable of power distribution network operational efficiency
It is right, each variable is obtained to the combined effect degree of power distribution network operational efficiency, further in the base for the growth factor for seeking each variable
On plinth, according to combined effect degree and growth factor, determine the inefficient reason of power distribution network operational efficiency, can be more scientific and reasonable point
Power distribution network operational efficiency is analysed, accurately determines the inefficient reason of power distribution network operational efficiency.
The present invention also provides a kind of analysis system of power distribution network operational efficiency, the system described below can with it is above
The method of description corresponds to each other reference.Referring to FIG. 2, Fig. 2 is point of power distribution network operational efficiency provided by the embodiment of the present invention
The schematic diagram of analysis system, in conjunction with Fig. 2 it is found that the analysis system includes:
Module 10 is established, for establishing each variable to degree of the directly affecting matrix of power distribution network operational efficiency and each variable
Degree of coupling matrix；
First computing module 20, for according to degree of directly affecting matrix be calculated degree of directly affecting normalized matrix and
Each variable is calculated to the indirect disturbance degree normalized matrix of power distribution network operational efficiency according to degree of coupling matrix；
Second computing module 30, for being distinguished according to degree of directly affecting normalized matrix and indirect disturbance degree normalized matrix
Each variable is calculated to the combined effect degree of power distribution network operational efficiency；
Third computing module 40, for calculating the growth factor of each variable；
Determining module 50 determines the change for meeting inefficient condition for the combined effect degree and growth factor according to each variable
Amount is the inefficient reason of power distribution network operational efficiency.
On the basis of the above embodiments, optionally, module 10 is established to be specifically used for receiving influence of the expert to each variable
Spend evaluation of estimate；According to each disturbance degree evaluation of estimate, established by 1-9 scaling lawWherein, n is expert's number,
M is the number of variable, and A is degree of directly affecting matrix, aijIt is i-th of expert to the disturbance degree evaluation of estimate of j-th of variable；
On the basis of the above embodiments, optionally, it establishes module 10 and is specifically used for receiving expert to the degree of coupling of variable
Evaluation of estimate；According to each degree of coupling evaluation of estimate, established by 1-9 scaling lawWherein,
D is degree of coupling matrix, dsjIt is expert to the degree of coupling evaluation of estimate of s-th of variable and j-th of variable；It is p-th of expert to s
The degree of coupling evaluation of estimate of a variable and j-th of variable.
On the basis of the above embodiments, optionally, the first computing module 20 is specifically used for according to degree of directly affecting matrix
Pass throughAndObtain C=[c1, c2, cj…cm]；Its
In, C is degree of directly affecting normalized matrix, bjFor j-th of variable disturbance degree entropy, cjFor j-th of variable disturbance degree weight.
On the basis of the above embodiments, optionally, the first computing module 20 is specifically used for being passed through according to degree of coupling matrixObtain indirect disturbance degree normalized matrix；Wherein, E is indirect disturbance degree normalized matrix,
I is unit matrix.
On the basis of the above embodiments, optionally, the second computing module 30 is specifically used for passing throughCalculate separately the combined effect degree for obtaining each variable to power distribution network operational efficiency；Wherein,
wjIt is j-th of variable to the combined effect degree of power distribution network operational efficiency, fjFor intermediate variable, eijWith ejiFor indirect disturbance degree standard
Change the element of matrix.
On the basis of the above embodiments, optionally, third computing module 40 includes:
Acquisition unit, for acquiring preset times power distribution network fortune according to prefixed time interval using predetermined time t as starting point
The numerical value of the data of line efficiency and each variable；
Computing unit, for passing throughThe growth system of each variable is calculated
Number；
Wherein, lejFor the growth factor of j-th of variable, t is predetermined time, and Δ t is prefixed time interval, and k is default time
Number, ytFor the data of t moment power distribution network operational efficiency, yt+qΔtFor the data of t+q time Δt power distribution network operational efficiency, q is q
A prefixed time interval, xj,tFor the numerical value of j-th of variable of t moment, xj,t+qΔtThe numerical value of j-th of variable when for t+q Δ t.
On the basis of the above embodiments, optionally, determining module 50 is specifically used for the combined effect degree according to each variable
With growth factor, determines and meetVariable be the inefficient reason of power distribution network operational efficiency；Wherein, β is inefficient point
Analyse coefficient.
The present invention also provides a kind of computer readable storage medium, calculating is stored on the computer readable storage medium
Machine program, the computer program realize following step when being executed by processor:
Each variable is established to degree of the directly affecting matrix of power distribution network operational efficiency and the degree of coupling matrix of each variable；According to
Degree of directly affecting matrix is calculated degree of directly affecting normalized matrix and each variable pair is calculated according to degree of coupling matrix
The indirect disturbance degree normalized matrix of power distribution network operational efficiency；According to degree of directly affecting normalized matrix and indirect disturbance degree standard
Change matrix and calculates separately the combined effect degree for obtaining each variable to power distribution network operational efficiency；Calculate the growth factor of each variable；Root
According to the combined effect degree and growth factor of each variable, determine that the variable for meeting inefficient condition is the inefficient original of power distribution network operational efficiency
Cause.
The computer readable storage medium may include: USB flash disk, mobile hard disk, read-only memory (Read-Only
Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. is various to deposit
Store up the medium of program code.
The embodiment of above-mentioned analysis method is please referred to for the introduction of computer readable storage medium provided by the present invention,
This will not be repeated here by the present invention.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For embodiment discloses system,
Since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration
It can.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Above to analysis method, system and the computer-readable storage medium of power distribution network operational efficiency provided by the present invention
Matter is described in detail.Used herein a specific example illustrates the principle and implementation of the invention, above
The explanation of embodiment is merely used to help understand method and its core concept of the invention.It should be pointed out that for the art
Those of ordinary skill for, without departing from the principle of the present invention, can also to the present invention carry out it is several improvement and repair
Decorations, these improvement and modification also fall into the protection scope of the claims in the present invention.
Claims (10)
1. a kind of analysis method of power distribution network operational efficiency characterized by comprising
Each variable is established to degree of the directly affecting matrix of power distribution network operational efficiency and the degree of coupling matrix of each variable；
Degree of directly affecting normalized matrix is calculated according to degree of the directly affecting matrix and according to the degree of coupling matrix
Each variable is calculated to the indirect disturbance degree normalized matrix of the power distribution network operational efficiency；
It calculates separately to obtain according to degree of the directly affecting normalized matrix and the indirect disturbance degree normalized matrix each described
Combined effect degree of the variable to the power distribution network operational efficiency；
Calculate the growth factor of each variable；
According to the combined effect degree of each variable and the growth factor, determine that the variable for meeting inefficient condition is
The inefficient reason of the power distribution network operational efficiency.
2. analysis method according to claim 1, which is characterized in that described to establish each variable to power distribution network operational efficiency
Degree of directly affecting matrix, comprising:
Expert is received to the disturbance degree evaluation of estimate of each variable；
According to each disturbance degree evaluation of estimate, established by 1-9 scaling law
Wherein, the n is expert's number, and the m is the number of the variable, and the A is degree of the directly affecting matrix, described
aijIt is i-th of expert to the disturbance degree evaluation of estimate of j-th of variable.
3. analysis method according to claim 2, which is characterized in that establish the degree of coupling matrix of each variable, comprising:
The expert is received to the degree of coupling evaluation of estimate of the variable；
According to each degree of coupling evaluation of estimate, established by 1-9 scaling law
Wherein,The D is the degree of coupling matrix, the dsjFor the expert to s-th variable with
The degree of coupling evaluation of estimate of j-th of variable；It is describedIt is p-th of expert to s-th of variable and j-th of change
The degree of coupling evaluation of estimate of amount.
4. analysis method according to claim 3, which is characterized in that the matrix of the degree of directly affecting according to calculates
To degree of directly affecting normalized matrix, comprising:
Passed through according to degree of the directly affecting matrixAndObtain C=[c1, c2, cj…cm]；
Wherein, the C is degree of the directly affecting normalized matrix, the bjFor j-th of variable disturbance degree entropy, cjFor
J-th of variable disturbance degree weight.
5. analysis method according to claim 4, which is characterized in that described to be calculated respectively according to the degree of coupling matrix
Indirect disturbance degree normalized matrix of the variable to the power distribution network operational efficiency, comprising:
Passed through according to the degree of coupling matrixObtain the indirect disturbance degree normalized matrix；
Wherein, the E is the indirect disturbance degree normalized matrix, and the I is unit matrix.
6. analysis method according to claim 5, which is characterized in that the normalized matrix of the degree of directly affecting according to
The group group photo for obtaining each variable to the power distribution network operational efficiency is calculated separately with the indirect disturbance degree normalized matrix
Loudness, comprising:
Pass throughCalculate separately to obtain each variable to the group of the power distribution network operational efficiency
Group photo loudness；
Wherein, the wjIt is j-th of variable to the combined effect degree of the power distribution network operational efficiency, the fjBecome for centre
Amount, the eijWith the ejiFor the element of the indirect disturbance degree normalized matrix.
7. analysis method according to claim 6, which is characterized in that the growth factor for calculating each variable, packet
It includes:
Using predetermined time t as starting point, according to the data of power distribution network operational efficiency described in prefixed time interval acquisition preset times
With the numerical value of each variable；
Pass throughThe growth factor of each variable is calculated；
Wherein, the lejFor the growth factor of j-th of variable, the t is the predetermined time, and the Δ t is described pre-
If time interval, the k is the preset times, the ytFor the data of power distribution network operational efficiency described in t moment, the yt+qΔt
For the data of power distribution network operational efficiency described in t+q time Δt, the q is q-th of prefixed time interval, xj,tIt is j-th of t moment
The numerical value of the variable, xj,t+qΔtThe numerical value of variable described in j-th when for t+q Δ t.
8. analysis method according to claim 7, which is characterized in that the combined effect according to each variable
Degree and the growth factor determine that the variable for meeting inefficient condition is the inefficient reason of the power distribution network operational efficiency, packet
It includes:
According to the combined effect degree of each variable and the growth factor, determines and meetThe variable
For the reason that the power distribution network operational efficiency is inefficient；Wherein, the β is inefficient coefficient of analysis.
9. a kind of analysis system of power distribution network operational efficiency characterized by comprising
Module is established, for establishing each variable to degree of the directly affecting matrix of power distribution network operational efficiency and the coupling of each variable
Right matrix；
Degree of directly affecting normalized matrix and root is calculated for the matrix of the degree of directly affecting according in first computing module
Each variable is calculated to the indirect disturbance degree normalized matrix of the power distribution network operational efficiency according to the degree of coupling matrix；
Second computing module, for the normalized matrix of the degree of directly affecting according to and the indirect disturbance degree normalized matrix point
Each variable is not calculated to the combined effect degree of the power distribution network operational efficiency；
Third computing module, for calculating the growth factor of each variable；
Determining module, for the combined effect degree and the growth factor according to each variable, determination meets inefficient item
The variable of part is the inefficient reason of the power distribution network operational efficiency.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the computer program realize power distribution network operational efficiency as claimed in any one of claims 1 to 8 when being executed by processor
Analysis method the step of.
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