CN110162805A - It is a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure and system - Google Patents
It is a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure and system Download PDFInfo
- Publication number
- CN110162805A CN110162805A CN201810143171.8A CN201810143171A CN110162805A CN 110162805 A CN110162805 A CN 110162805A CN 201810143171 A CN201810143171 A CN 201810143171A CN 110162805 A CN110162805 A CN 110162805A
- Authority
- CN
- China
- Prior art keywords
- experiment
- statistic
- variable
- hybrid simulation
- electrical quantity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 172
- 238000004088 simulation Methods 0.000 title claims abstract description 119
- 238000012544 monitoring process Methods 0.000 claims abstract description 94
- 238000010224 classification analysis Methods 0.000 claims abstract description 8
- 238000002474 experimental method Methods 0.000 claims description 109
- 238000012360 testing method Methods 0.000 claims description 8
- 230000000052 comparative effect Effects 0.000 claims description 6
- 230000005611 electricity Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 4
- 238000011156 evaluation Methods 0.000 abstract description 2
- 238000011158 quantitative evaluation Methods 0.000 abstract description 2
- 238000004590 computer program Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 230000007812 deficiency Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Abstract
The present invention provides a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure and system, comprising: carries out classification analysis to the error information of hybrid simulation experiment, obtains operation monitoring variable；Based on the method for operation and interface distance of hybrid simulation experiment, the statistic of every kind of operation monitoring variable is calculated；The statistic and preset electrical operation statistic for comparing the operation monitoring variable being calculated determine influence of the operation monitoring variable to the hybrid simulation experimental precision.Emulation mode of the invention can quantitative evaluation electromechanics-electromagnetism hybrid simulation different running method and distinct interface distance under voltage, electric current, frequency, active and five kinds of electrical quantity of reactive power error analysis, effectively increase the accuracy of the accuracy evaluation of hybrid simulation example.
Description
Technical field
The present invention relates to electromechanics-electromagnetism hybrid simulation fields, and in particular to one kind is used for electromechanics-electromagnetism hybrid simulation precision
Appraisal procedure and system.
Background technique
Simulation analysis, development correlative study and application are being carried out to alternating current-direct current power grid using electromagnetism-electromechanics hybrid simulation
It there is also some problems in the process, such as: it is generally imitative using pure electromechanical transient at present in terms of the accuracy of verifying hybrid simulation
Very, the calculated result of hybrid simulation or pure Electromagnetic Simulation is mutually verified, or with electric system physical fault wave-record chart
Verifying is compared, the standard of hybrid simulation is then by virtue of experience determined according to the index that waveform trend and numerical difference Deng not obscure relatively
True property, but also need to carry out the work on quantitatively evaluating and theory analysis at present.
Accordingly, it is desirable to provide a kind of technical solution carrys out overcome the deficiencies in the prior art.
Summary of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a kind of for electromechanics-electromagnetism hybrid simulation precision
Appraisal procedure and system.
It is a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure comprising: to hybrid simulation experiment margin of error
According to classification analysis is carried out, operation monitoring variable is obtained；Based on the method for operation and interface distance of hybrid simulation experiment, every kind is calculated
The statistic of operation monitoring variable；The statistic and preset electrical operation for comparing the operation monitoring variable being calculated count
Amount determines influence of the operation monitoring variable to hybrid simulation experimental precision；
Based on the method for operation and interface distance of hybrid simulation experiment, the statistic of every kind of operation monitoring variable, packet are calculated
Include: the method for operation and interface distance based on hybrid simulation experiment calculate the mean value of every kind of operation monitoring variable；It is transported based on every kind
The mean value of row monitoring variable calculates the statistic of every kind of operation monitoring variable.
Operation monitoring variable includes: electric current, voltage, frequency, active power and reactive power.
The mean value of voltage is calculated as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Uij
Indicate that j-th of voltage of i-th experiment, λ are the weight of every kind of experimental result.
The statistic of voltage is calculated as follows:
In formula, FUFor the statistic of voltage,For first voltage intermediate variable,For second voltage intermediate variable；
First voltage intermediate variableAs follows；
Second voltage intermediate variableIt is as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Uij
Indicate j-th of voltage of i-th experiment.
The mean value of electric current is calculated as follows:
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Iij
Indicate that j-th of electric current of i-th experiment, λ are the weight of every kind of experimental result.
The statistic of electric current is calculated as follows:
In formula, FIFor the statistic of electric current,For the first electric current intermediate variable,For the second electric current intermediate variable；
The first electric current intermediate variableAs follows；
The second electric current intermediate variableAs follows；
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Iij
Indicate j-th of voltage of i-th experiment.
The mean value of frequency is calculated as follows:
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fij
Indicate j-th of frequency of i-th experiment, λ is the weight of every kind of experimental result.
The statistic of frequency is calculated as follows:
In formula, FfFor the statistic of frequency,For first frequency intermediate variable,For second frequency intermediate variable；
First frequency intermediate variableAs follows；
Second frequency intermediate variableAs follows；
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fij
Indicate j-th of frequency of i-th experiment.
The mean value of active power is calculated as follows:
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, PijIndicate j-th of active power of i-th experiment, λ is the weight of every kind of experimental result.
The statistic of active power is calculated as follows:
In formula, FPFor the statistic of active power,For the first active power intermediate variable,For the second active power
Intermediate variable；
First active power intermediate variableAs follows；
Second active power intermediate variableAs follows；
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, PijIndicate j-th of active power of i-th experiment.
The mean value of reactive power is calculated as follows:
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, QijIndicate j-th of reactive power of i-th experiment, λ is the weight of every kind of experimental result.
The statistic of reactive power is calculated as follows:
In formula, FQFor the statistic of reactive power,For the first reactive power intermediate variable,For the second reactive power
Intermediate variable；
The first reactive power intermediate variableAs follows；
The second reactive power intermediate variableAs follows；
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
It is imitative
J-th of electrical quantity of true interface different distance, s are under every kind of method of operation to the electrical of emulation interface different distance
Measure type, QijIndicate j-th of reactive power of i-th experiment.
The statistic and preset electrical operation statistic for comparing operation monitoring variable determine operation monitoring variable to mixing
The influence of emulation experiment precision, comprising: it is corresponding pre- to find the monitoring variable of the operation under level of significance α using F distribution table
If electrical operation statistic；Compare the statistic and preset electrical operation statistic of the operation monitoring variable being calculated；
Under level of significance α, if the statistic for the operation monitoring variable being calculated is greater than preset electrical operation statistic, no
Existing with the method for operation and interface distance on the precision that hybrid simulation is tested influences；
Under level of significance α, if the statistic for the operation monitoring variable being calculated is united less than preset electrical operation
Metering, then different running method and interface distance do not influence the precision tested on hybrid simulation；Wherein, level of significance α
Lower, then the accuracy of hybrid simulation experimental precision is higher.
It is a kind of for electromechanics-electromagnetism hybrid simulation precision assessment system comprising: operation monitoring variable module, be used for
Classification analysis is carried out to the error information of hybrid simulation experiment, obtains operation monitoring variable；Normalized set module, for being based on
The method of operation and interface distance of hybrid simulation experiment calculate the statistic of every kind of operation monitoring variable；Determining module is influenced, is used
In the statistic and preset electrical operation statistic that compare the operation monitoring variable being calculated, operation monitoring variable pair is determined
The influence of the hybrid simulation experimental precision.
Normalized set module, comprising: operation monitoring mean variable value computational submodule and operation monitoring statistics of variable quantum
Module；
Operation monitoring mean variable value computational submodule, the method for operation and interface distance for being tested based on hybrid simulation,
Calculate the mean value of every kind of operation monitoring variable；
Operation monitoring statistics of variable quantum module calculates every kind for the mean value based on described every kind operation monitoring variable
The statistic of operation monitoring variable.
Operation monitoring variable includes: electric current, voltage, frequency, active power and reactive power.
The equal value expression of voltage, as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Uij
Indicate that j-th of voltage of i-th experiment, λ are the weight of every kind of experimental result.
The statistic expression formula of voltage, as follows:
In formula, FUFor the statistic of voltage,For first voltage intermediate variable,For second voltage intermediate variable；
First voltage intermediate variableAs follows；
Second voltage intermediate variableIt is as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Uij
Indicate j-th of voltage of i-th experiment.
The equal value expression of electric current, as follows:
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Iij
Indicate that j-th of electric current of i-th experiment, λ are the weight of every kind of experimental result.
The statistic expression formula of electric current, as follows:
In formula, FIFor the statistic of electric current,For the first electric current intermediate variable,For the second electric current intermediate variable；
First electric current intermediate variableAs follows；
Second electric current intermediate variableAs follows；
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Iij
Indicate j-th of voltage of i-th experiment.
The equal value expression of frequency, as follows:
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fij
Indicate j-th of frequency of i-th experiment, λ is the weight of every kind of experimental result.
The statistic expression formula of frequency, as follows:
In formula, FfFor the statistic of frequency,For first frequency intermediate variable,For second frequency intermediate variable；
First frequency intermediate variableAs follows；
Second frequency intermediate variableAs follows；
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fij
Indicate j-th of frequency of i-th experiment.
The equal value expression of active power, as follows:
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, PijIndicate j-th of active power of i-th experiment, λ is the weight of every kind of experimental result.
The statistic expression formula of active power, as follows:
In formula, FPFor the statistic of active power,For the first active power intermediate variable,For the second active power
Intermediate variable；
First active power intermediate variableAs follows；
Second active power intermediate variableAs follows；
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, PijIndicate j-th of active power of i-th experiment.
The equal value expression of reactive power, as follows:
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, QijIndicate j-th of reactive power of i-th experiment, λ is the weight of every kind of experimental result.
The statistic expression formula of reactive power, as follows:
In formula, FQFor the statistic of reactive power,For the first reactive power intermediate variable,For the second reactive power
Intermediate variable；
First reactive power intermediate variableAs follows；
Second reactive power intermediate variableAs follows；
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, QijIndicate j-th of reactive power of i-th experiment.
Influence determining module, comprising: submodule of tabling look-up, Comparative sub-module, the first judging submodule and second judge submodule
Block；It tables look-up submodule, for finding the corresponding preset electricity of the monitoring variable of the operation under level of significance α using F distribution table
Fate row statistic；Comparative sub-module, for comparing the statistic and preset electrical fortune of the operation monitoring variable being calculated
Row statistic；First judging submodule is used under level of significance α, if the statistic for the operation monitoring variable being calculated
Greater than preset electrical operation statistic, then there are shadows to the precision that hybrid simulation is tested for different running method and interface distance
It rings；Second judgment submodule is used under level of significance α, if the statistic for the operation monitoring variable being calculated is less than in advance
If electrical operation statistic, then different running method and interface distance do not influence the precision tested on hybrid simulation；Its
In, level of significance α is lower, then the accuracy of hybrid simulation experimental precision is higher.
Compared with the immediate prior art, technical solution provided by the invention is had the advantages that
Emulation mode of the invention can quantitative evaluation electromechanics-electromagnetism hybrid simulation in different running method and distinct interface
Voltage, electric current, frequency, active and five kinds of electrical quantity of reactive power error analysis under, effectively increase hybrid simulation
The accuracy of the accuracy evaluation of example.
Detailed description of the invention
Fig. 1 is the flow chart of appraisal procedure of the present invention.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1, emulation mode of the invention includes: to carry out classification analysis to the error information of hybrid simulation experiment,
Obtain operation monitoring variable；Based on the method for operation and interface distance of hybrid simulation experiment, every kind of operation monitoring variable is calculated
Statistic；The statistic and preset electrical operation statistic for comparing operation monitoring variable determine operation monitoring variable to mixing
The influence of emulation experiment；Wherein, operation monitoring variable includes: electric current, monitoring voltage, frequency, active power and reactive power.
Quantitative analysis is carried out in order to detect electromechanics-electromagnetism hybrid simulation experimental error, N group experimental error data are carried out
Classification analysis: for monitoring voltage U, electric current I, frequency f, active P, nothing near electromechanics-electromagnetism hybrid simulation interface in n times experiment
Function Q, five variables, subscript i indicate the i-th experiment of the traversal k kind method of operation, subscript, and j is indicated apart from hybrid simulation interface not
J-th of electrical quantity of same distance, different subscripts i, jIt is the intermediate variable of no concrete meaning, no
With lower targetIt is the intermediate variable of no concrete meaning, the lower target F of difference is the intermediate variable of no concrete meaning；λ is every kind of reality
Test the weight of result, these variable replacements be other variable expression ways also within protection scope of the present invention, and to record
As a result it is analyzed as follows:
Embodiment 1:
For the k kind method of operation, the electrical quantity s apart from hybrid simulation interface different distance is monitored in every kind of method of operation
Kind, every kind of monitoring voltage U variable, λ is the weight of every kind of experimental result, UijJ-th of voltage for indicating i-th experiment, for reality
It tests precision and carries out following detection calculating:
It can further calculateAnd it can be found by the F distribution table of known basic common sense
FUα(k-1,ks-k)。
WhenWhen, then it is assumed that think at significance U α
Different running method is for hybrid simulation voltage UijError have a significant impact；
WhenWhen, then it is assumed that think not at significance U α
It is had no significant effect with error of the method for operation for hybrid simulation voltage U.
Embodiment 2:
For the k kind method of operation, the electrical quantity s apart from hybrid simulation interface different distance is monitored in every kind of method of operation
Kind, every kind of monitor current I variable, λ is the weight of every kind of experimental result, IijJ-th of electric current for indicating i-th experiment, for reality
It tests precision and carries out following detection calculating:
It can further calculateAnd it can be found by the F distribution table of known basic common sense
FIα(k-1,ks-k)。
WhenWhen, then it is assumed that different operations are thought at significance I α
Mode has a significant impact the error of hybrid simulation electric current I,
WhenWhen, then it is assumed that different fortune are thought at significance I α
Line mode has no significant effect the error of hybrid simulation electric current I,
Embodiment 3:
For the k kind method of operation, the electrical quantity s apart from hybrid simulation interface different distance is monitored in every kind of method of operation
Kind, every kind of monitoring frequency f variable, λ is the weight of every kind of experimental result, fijJ-th of frequency for indicating i-th experiment, for reality
It tests precision and carries out following detection calculating:
It can further calculateAnd it can be found by the F distribution table of known basic common sense
Ffα(k-1,ks-k)。
WhenWhen, then it is assumed that think different at significance f α
The method of operation has a significant impact the error of hybrid simulation frequency f,
WhenWhen, then it is assumed that think at significance f α
Different running method has no significant effect the error of hybrid simulation frequency f.
Embodiment 4:
For the k kind method of operation, the electrical quantity s apart from hybrid simulation interface different distance is monitored in every kind of method of operation
Kind, every kind of active P variable of monitoring, λ is the weight of every kind of experimental result, PijIndicate j-th of active power of i-th experiment, it is right
Carry out following detection in experimental precision to calculate:
It can further calculateAnd it can be found by the F distribution table of known basic common sense
FPα(k-1,ks-k)。
WhenWhen, then it is assumed that think not at significance P α
Error with method of operation P active for hybrid simulation has a significant impact,
WhenWhen, then it is assumed that think at significance P α
The error of different running method P active for hybrid simulation has no significant effect.
Embodiment 5:
For the k kind method of operation, the electrical quantity s apart from hybrid simulation interface different distance is monitored in every kind of method of operation
Kind, every kind of idle Q variable of monitoring, λ is the weight of every kind of experimental result, QijIndicate j-th of reactive power of i-th experiment, it is right
Carry out following detection in experimental precision to calculate:
It can further calculateAnd it can be found by the F distribution table of known basic common sense
FQα(k-1,ks-k)。
WhenWhen, then it is assumed that think different at significance Q α
The error of the method for operation is idle for hybrid simulation Q has a significant impact,
WhenWhen, then it is assumed that think not at significance Q α
Error with method of operation Q idle for hybrid simulation has no significant effect.
Significance above assume that examine in a concept, refer to when null hypothesis be it is correct when people but
The probability or risk that it has rejected.It is the probability value of generally acknowledged small probability event, it is necessary to before statistical check each time really
It is fixed, usually take 0.05 or 0.01.A possibility that this shows when making the decision for receiving null hypothesis, correct (probability) is 95%
Or 99%.The meaning that significance represents is the size of the small probability things possibility occurrence in primary test.
Judgement about accuracy: significance is lower, illustrates that the accuracy of this judgement is higher.
Based on the same inventive concept, the present invention also provides a kind of for electromechanics-electromagnetism hybrid simulation precision assessment system
System, is illustrated below.
System provided by the invention includes: operation monitoring variable module, error information for being tested to hybrid simulation into
Row classification analysis obtains operation monitoring variable；Normalized set module, the method for operation for being tested based on hybrid simulation and is connect
Mouth distance calculates the statistic of every kind of operation monitoring variable；Determining module is influenced, is become for comparing the operation being calculated monitoring
The statistic of amount and preset electrical operation statistic determine operation monitoring variable to the shadow of the hybrid simulation experimental precision
It rings.
Normalized set module, comprising: operation monitoring mean variable value computational submodule and operation monitoring statistics of variable quantum
Module；
Operation monitoring mean variable value computational submodule, the method for operation and interface distance for being tested based on hybrid simulation,
Calculate the mean value of every kind of operation monitoring variable；
Operation monitoring statistics of variable quantum module calculates every kind for the mean value based on described every kind operation monitoring variable
The statistic of operation monitoring variable.
Operation monitoring variable includes: electric current, voltage, frequency, active power and reactive power.
The equal value expression of voltage, as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Uij
Indicate that j-th of voltage of i-th experiment, λ are the weight of every kind of experimental result.
The statistic expression formula of voltage, as follows:
In formula, FUFor the statistic of voltage,For first voltage intermediate variable,For second voltage intermediate variable；
First voltage intermediate variableAs follows；
Second voltage intermediate variableIt is as follows:
In formula,For the mean value of monitoring voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, UijIndicate j-th of voltage of i-th experiment.
The equal value expression of electric current, as follows:
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Iij
Indicate that j-th of electric current of i-th experiment, λ are the weight of every kind of experimental result.
The statistic expression formula of electric current, as follows:
In formula, FIFor the statistic of electric current,For the first electric current intermediate variable,For the second electric current intermediate variable；
First electric current intermediate variableAs follows；
Second electric current intermediate variableAs follows；
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Iij
Indicate j-th of voltage of i-th experiment.
The equal value expression of frequency, as follows:
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fij
Indicate j-th of frequency of i-th experiment, λ is the weight of every kind of experimental result.
The statistic expression formula of frequency, as follows:
In formula, FfFor the statistic of frequency,For first frequency intermediate variable,For second frequency intermediate variable；
First frequency intermediate variableAs follows；
Second frequency intermediate variableAs follows；
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fij
Indicate j-th of frequency of i-th experiment.
The equal value expression of active power, as follows:
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, PijIndicate j-th of active power of i-th experiment, λ is the weight of every kind of experimental result.
The statistic expression formula of active power, as follows:
In formula, FPFor the statistic of active power,For the first active power intermediate variable,For the second active power
Intermediate variable；
First active power intermediate variableAs follows；
Second active power intermediate variableAs follows；
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, PijIndicate j-th of active power of i-th experiment.
The equal value expression of reactive power, as follows:
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, QijIndicate j-th of reactive power of i-th experiment, λ is the weight of every kind of experimental result.
The statistic expression formula of reactive power, as follows:
In formula, FQFor the statistic of reactive power,For the first reactive power intermediate variable,For the second reactive power
Intermediate variable；
First reactive power intermediate variableAs follows；
Second reactive power intermediate variableAs follows；
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j indicates distance mixing
J-th of electrical quantity of emulation interface different distance, s are the electrical quantity kind that emulation interface different distance is arrived under every kind of method of operation
Class, QijIndicate j-th of reactive power of i-th experiment.
Influence determining module, comprising: submodule of tabling look-up, Comparative sub-module, the first judging submodule and second judge submodule
Block；It tables look-up submodule, for finding the corresponding preset electricity of the monitoring variable of the operation under level of significance α using F distribution table
Fate row statistic；Comparative sub-module, for comparing the statistic and preset electrical fortune of the operation monitoring variable being calculated
Row statistic；First judging submodule is used under level of significance α, if the statistic for the operation monitoring variable being calculated
Greater than preset electrical operation statistic, then there are shadows to the precision that hybrid simulation is tested for different running method and interface distance
It rings；Second judgment submodule is used under level of significance α, if the statistic for the operation monitoring variable being calculated is less than in advance
If electrical operation statistic, then different running method and interface distance do not influence the precision tested on hybrid simulation；Its
In, level of significance α is lower, then the accuracy of hybrid simulation experimental precision is higher.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices.
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, institute
The those of ordinary skill in category field can still modify to a specific embodiment of the invention referring to above-described embodiment or
Equivalent replacement, these are applying for this pending hair without departing from any modification of spirit and scope of the invention or equivalent replacement
Within bright claims.
Claims (28)
1. a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure characterized by comprising
Classification analysis is carried out to the error information of hybrid simulation experiment, obtains operation monitoring variable；
Based on the method for operation and interface distance of hybrid simulation experiment, the statistic of every kind of operation monitoring variable is calculated；
The statistic and preset electrical operation statistic for comparing the operation monitoring variable being calculated, determine the operation
Monitor influence of the variable to the hybrid simulation experimental precision.
2. appraisal procedure according to claim 1, which is characterized in that it is described based on hybrid simulation experiment the method for operation and
Interface distance calculates the statistic of every kind of operation monitoring variable, comprising:
Based on the method for operation and interface distance of hybrid simulation experiment, the mean value of every kind of operation monitoring variable is calculated；
Based on the mean value of described every kind operation monitoring variable, the statistic of every kind of operation monitoring variable is calculated.
3. appraisal procedure according to claim 2, which is characterized in that operation monitoring variable include: electric current, voltage,
Frequency, active power and reactive power.
4. appraisal procedure according to claim 3, which is characterized in that the mean value of voltage is calculated as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, UijIt indicates
J-th of voltage of i-th experiment, λ are the weight of every kind of experimental result.
5. appraisal procedure according to claim 4, which is characterized in that the statistic of voltage is calculated as follows:
In formula, FUFor the statistic of voltage,For first voltage intermediate variable,For second voltage intermediate variable；
The first voltage intermediate variableAs follows；
The second voltage intermediate variableIt is as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, UijIt indicates
J-th of voltage of i-th experiment.
6. appraisal procedure according to claim 3, which is characterized in that the mean value of electric current is calculated as follows:
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, IijIt indicates
J-th of electric current of i-th experiment, λ are the weight of every kind of experimental result.
7. appraisal procedure according to claim 6, it is characterised in that the statistic of electric current is calculated as follows:
In formula, FIFor the statistic of electric current,For the first electric current intermediate variable,For the second electric current intermediate variable；
The first electric current intermediate variableAs follows；
The second electric current intermediate variableAs follows；
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation,
Iij
Indicate j-th of voltage of i-th experiment.
8. appraisal procedure according to claim 3, which is characterized in that the mean value of frequency is calculated as follows:
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fijIt indicates
J-th of frequency of i-th experiment, λ are the weight of every kind of experimental result.
9. appraisal procedure according to claim 8, which is characterized in that the statistic of frequency is calculated as follows:
In formula, FfFor the statistic of frequency,For first frequency intermediate variable,For second frequency intermediate variable；
The first frequency intermediate variableAs follows；
The second frequency intermediate variableAs follows；
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fijIt indicates
J-th of frequency of i-th experiment.
10. appraisal procedure according to claim 3, which is characterized in that the mean value of active power is calculated as follows:
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Pij
Indicate j-th of active power of i-th experiment, λ is the weight of every kind of experimental result.
11. appraisal procedure according to claim 10, which is characterized in that the statistic of active power is calculated as follows:
In formula, FPFor the statistic of active power,For the first active power intermediate variable,Among the second active power
Variable；
The first active power intermediate variableAs follows；
The second active power intermediate variableAs follows；
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Pij
Indicate j-th of active power of i-th experiment.
12. appraisal procedure according to claim 3, which is characterized in that the mean value of reactive power is calculated as follows:
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Qij
Indicate j-th of reactive power of i-th experiment, λ is the weight of every kind of experimental result.
13. appraisal procedure according to claim 12, which is characterized in that the statistic of reactive power is calculated as follows:
In formula, FQFor the statistic of reactive power,For the first reactive power intermediate variable,Among the second reactive power
Variable；
The first reactive power intermediate variableAs follows；
The second reactive power intermediate variableAs follows；
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Qij
Indicate j-th of reactive power of i-th experiment.
14. appraisal procedure according to claim 1, which is characterized in that the statistics of the operation monitoring variable
Amount and preset electrical operation statistic determine influence of the operation monitoring variable to the hybrid simulation experimental precision, packet
It includes:
The corresponding preset electrical operation of the monitoring variable of the operation under level of significance α is found using F distribution table to count
Amount；
Compare the statistic and the preset electrical operation statistic of the operation monitoring variable being calculated；
Under level of significance α, if the statistic for the operation monitoring variable being calculated is greater than the preset electrical fortune
Row statistic, then there is the precision that the hybrid simulation is tested and influence in different running method and interface distance；
Under level of significance α, if the statistic for the operation monitoring variable being calculated is less than the preset electrical fortune
Row statistic, then different running method and interface distance do not influence the precision tested on the hybrid simulation；
Wherein, level of significance α is lower, then the accuracy of the hybrid simulation experimental precision is higher.
15. a kind of for electromechanics-electromagnetism hybrid simulation precision assessment system characterized by comprising
Operation monitoring variable module, the error information for testing to hybrid simulation carry out classification analysis, obtain operation monitoring and become
Amount；
Normalized set module, the method for operation and interface distance for being tested based on hybrid simulation calculate every kind of operation monitoring
The statistic of variable；
Determining module is influenced, the statistic and preset electrical operation for comparing the operation being calculated monitoring variable are united
Metering determines influence of the operation monitoring variable to the hybrid simulation experimental precision.
16. assessment system according to claim 15, which is characterized in that the normalized set module, comprising: operation prison
Control mean variable value computational submodule and operation monitoring statistics of variable quantum module；
The operation monitoring mean variable value computational submodule, the method for operation and interface distance for being tested based on hybrid simulation,
Calculate the mean value of every kind of operation monitoring variable；
The operation monitors statistics of variable quantum module, for the mean value based on described every kind operation monitoring variable, calculates every kind
The statistic of operation monitoring variable.
17. assessment system according to claim 16, which is characterized in that the operation monitoring variable includes: electric current, electricity
Pressure, frequency, active power and reactive power.
18. assessment system according to claim 17, which is characterized in that the equal value expression of the voltage, as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, UijIt indicates
J-th of voltage of i-th experiment, λ are the weight of every kind of experimental result.
19. assessment system according to claim 18, which is characterized in that the statistic expression formula of the voltage, following institute
Show:
In formula, FUFor the statistic of voltage,For first voltage intermediate variable,For second voltage intermediate variable；
The first voltage intermediate variableAs follows；
The second voltage intermediate variableIt is as follows:
In formula,For the mean value of voltage, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, UijIt indicates
J-th of voltage of i-th experiment.
20. assessment system according to claim 17, which is characterized in that the equal value expression of the electric current, as follows:
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, IijIt indicates
J-th of electric current of i-th experiment, λ are the weight of every kind of experimental result.
21. assessment system according to claim 20, which is characterized in that the statistic expression formula of the electric current, following institute
Show:
In formula, FIFor the statistic of electric current,For the first electric current intermediate variable,For the second electric current intermediate variable；
The first electric current intermediate variableAs follows；
The second electric current intermediate variableAs follows；
In formula,For the mean value of electric current, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, IijIt indicates
J-th of voltage of i-th experiment.
22. assessment system according to claim 17, which is characterized in that the equal value expression of the frequency, as follows:
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fijIt indicates
J-th of frequency of i-th experiment, λ are the weight of every kind of experimental result.
23. assessment system according to claim 22, which is characterized in that the statistic expression formula of the frequency, following institute
Show:
In formula, FfFor the statistic of frequency,For first frequency intermediate variable,For second frequency intermediate variable；
The first frequency intermediate variableAs follows；
The second frequency intermediate variableAs follows；
In formula,For the mean value of frequency, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation interface
J-th of electrical quantity of different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, fijIt indicates
J-th of frequency of i-th experiment.
24. assessment system according to claim 17, which is characterized in that the equal value expression of the active power, it is as follows
It is shown:
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Pij
Indicate j-th of active power of i-th experiment, λ is the weight of every kind of experimental result.
25. assessment system according to claim 24, which is characterized in that the statistic expression formula of the active power, such as
Shown in lower:
In formula, FPFor the statistic of active power,For the first active power intermediate variable,Among the second active power
Variable；
The first active power intermediate variableAs follows；
The second active power intermediate variableAs follows；
In formula,For the mean value of active power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Pij
Indicate j-th of active power of i-th experiment.
26. assessment system according to claim 17, which is characterized in that the equal value expression of the reactive power, it is as follows
It is shown:
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Qij
Indicate j-th of reactive power of i-th experiment, λ is the weight of every kind of experimental result.
27. assessment system according to claim 26, which is characterized in that the statistic expression formula of the reactive power, such as
Shown in lower:
In formula, FQFor the statistic of reactive power,For the first reactive power intermediate variable,Among the second reactive power
Variable；
The first reactive power intermediate variableAs follows；
The second reactive power intermediate variableAs follows；
In formula,For the mean value of reactive power, i indicates the i-th experiment of the traversal k kind method of operation, and j is indicated apart from hybrid simulation
J-th of electrical quantity of interface different distance, s are the electrical quantity type that emulation interface different distance is arrived under every kind of method of operation, Qij
Indicate j-th of reactive power of i-th experiment.
28. assessment system according to claim 15, which is characterized in that the influence determining module, comprising: submodule of tabling look-up
Block, Comparative sub-module, the first judging submodule and second judgment submodule；
The submodule of tabling look-up, it is corresponding for finding the monitoring variable of the operation under level of significance α using F distribution table
Preset electrical operation statistic；
The Comparative sub-module, for comparing the statistic of the operation being calculated monitoring variable and described preset electrical
Operating statistic amount；
First judging submodule is used under level of significance α, if the statistics for the operation monitoring variable being calculated
Amount is greater than the preset electrical operation statistic, the then essence that different running method and interface distance test the hybrid simulation
There is influence in degree；
The second judgment submodule is used under level of significance α, if the statistics for the operation monitoring variable being calculated
Amount is less than the preset electrical operation statistic, then different running method and interface distance are to testing the hybrid simulation
Precision does not influence；
Wherein, level of significance α is lower, then the accuracy of the hybrid simulation experimental precision is higher.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810143171.8A CN110162805A (en) | 2018-02-11 | 2018-02-11 | It is a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810143171.8A CN110162805A (en) | 2018-02-11 | 2018-02-11 | It is a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110162805A true CN110162805A (en) | 2019-08-23 |
Family
ID=67634995
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810143171.8A Pending CN110162805A (en) | 2018-02-11 | 2018-02-11 | It is a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110162805A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102751737A (en) * | 2012-05-14 | 2012-10-24 | 中国电力科学研究院 | Method for simulating and analyzing automatic generation control of electrical power system containing wind power |
| CN106403582A (en) * | 2016-08-31 | 2017-02-15 | 北京英博新能源有限公司 | Power-saving control method based on software modeling and simulation for power supply and consumption system of alternating-current electric arc furnace |
-
2018
- 2018-02-11 CN CN201810143171.8A patent/CN110162805A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102751737A (en) * | 2012-05-14 | 2012-10-24 | 中国电力科学研究院 | Method for simulating and analyzing automatic generation control of electrical power system containing wind power |
| CN106403582A (en) * | 2016-08-31 | 2017-02-15 | 北京英博新能源有限公司 | Power-saving control method based on software modeling and simulation for power supply and consumption system of alternating-current electric arc furnace |
Non-Patent Citations (3)
| Title |
|---|
| 于磊等: "《市场调查与预测》", 30 September 2014, 同济大学出版社, pages: 204 * |
| 刘美茵等: ""基于ＢＤＥＷ 标准的光伏并网逆变器模型验证及误差分析"", 《电力系统自动化》, vol. 38, no. 13, 10 July 2014 (2014-07-10) * |
| 欧志新: ""含分布式电源配电系统的电压质量概率评估"", 《兰州理工大学学报》, vol. 43, no. 5, 31 October 2017 (2017-10-31) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Tate et al. | Line outage detection using phasor angle measurements | |
| CN110222765B (en) | Method and system for monitoring health state of permanent magnet synchronous motor | |
| US9891281B1 (en) | Method and system for automatically identifying test runs contributing to coverage events of interest in verification test data | |
| CN116125361B (en) | Voltage transformer error evaluation method, system, electronic equipment and storage medium | |
| CN105548946B (en) | For the multiple criteria screening method and device of the measurement error of intelligent electric energy meter | |
| CN111126759B (en) | Electric energy meter state evaluation method based on abnormal event fault correlation degree | |
| CN110187275A (en) | A kind of magneto method for detecting health status and system | |
| Grbac et al. | Stability of software defect prediction in relation to levels of data imbalance | |
| CN111458601A (en) | Fault detection method and device | |
| CN106407488B (en) | Power failure methods of risk assessment and system | |
| Xiao et al. | Adaptive testing based on moment estimation | |
| CN114089255A (en) | Stability evaluation method for capacitor voltage transformer | |
| CN109142979A (en) | A kind of detection method and device of Abnormal State for Power Distribution Network | |
| CN107330264A (en) | A kind of verification method of bridge monitoring data reliability | |
| CN110162805A (en) | It is a kind of for electromechanics-electromagnetism hybrid simulation precision appraisal procedure and system | |
| Sajan et al. | Realistic synchrophasor data generation for anomaly detection and event classification | |
| CN108121656A (en) | A kind of software evaluation method and apparatus | |
| Chamoli et al. | Analysing software metrics for accurate dynamic defect prediction models | |
| KR20180060761A (en) | Assessment Method and System of Safety Level of Electrical Facilities | |
| CN110162806A (en) | A kind of phantom error appraisal procedure and system | |
| CN109409405A (en) | A kind of active power distribution network bad data recognition method and apparatus | |
| CN108073518A (en) | A kind of testing case management and device | |
| CN113567805A (en) | Power distribution network fault diagnosis method and device based on data correlation | |
| Molnar-Matei et al. | New method for voltage sags characteristics detection in electrical networks | |
| JP7038011B2 (en) | Power system operation support device and method, and vibration suppression system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |