CN110533548A - A method of phantom error evaluation index is established based on track characteristic - Google Patents

A method of phantom error evaluation index is established based on track characteristic Download PDF

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CN110533548A
CN110533548A CN201910471784.9A CN201910471784A CN110533548A CN 110533548 A CN110533548 A CN 110533548A CN 201910471784 A CN201910471784 A CN 201910471784A CN 110533548 A CN110533548 A CN 110533548A
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error
index
voltage
track
correction
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高凯
苏安龙
葛维春
张艳军
刘爱民
孔剑虹
李斌
韩子娇
屈超
谢强
刘凯
那广宇
赵鹏
杨璐羽
安军
姜赫
刘佳琦
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
Northeast Electric Power University
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State Grid Corp of China SGCC
Northeast Dianli University
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
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Abstract

The invention belongs to electric system numerical simulation model parameter correction technical field more particularly to a kind of method for establishing phantom error evaluation index based on track characteristic, specifically a kind of methods for establishing simulation Credibility index system based on track characteristic.The present invention uses the hybrid dynamic simulation method of impact load injection, and measured data is injected analogue system;Is chosen to the trace sensitivity of each parameter by the biggish parameter set to be corrected of trace sensitivity for computer sim- ulation track;Hybrid dynamic simulation is carried out with the parameter group after correction, calculates the phantom error index of correction front and back, the phantom error index includes voltage error index and power error index;Compare the error criterion size of correction front and back, if the error amount after correction is less than the error amount before correction, is emulated using the parameter after correction.The present invention effectively avoids the error in judgement as caused by qualitative analysis, reduces the diversity factor of emulation and actual measurement, improves simulation Credibility.

Description

A method of phantom error evaluation index is established based on track characteristic
Technical field
The invention belongs to electric system numerical simulation model parameter correction technical field, more particularly to one kind are special based on track Levy the method for establishing phantom error evaluation index, specifically a kind of side that simulation Credibility index system is established based on track characteristic Method.
Background technique
Concept early in the twentieth century sixties, numerical simulation confidence level is just suggested.As computer is in numerous subjects And the application in engineering research field, the problem of numerical simulation confidence level, are increasingly subject to the concern of people.Personnel after study Long-term endeavour, the main element of electric system is built to erect detailed simulation model, and by analysis of simulation experiment model Influence of the different type parameter to simulation result.Result of study shows that the error of component models parameter can logarithm emulation generation Significant impact.With the appearance of wide area measurement system WAMS, power train abundant is provided for the research of numerical simulation confidence level System real-time running data, is greatly facilitated the electrical network parameter based on PMU metric data and Model Distinguish technical research, makes value Emulating credible research has significant progress.Being compared based on PMU metric data with Numerical Simulation Results can figure of merit The confidence level of emulation, for the difference between figure of merit simulation track and actual measurement track, need to establish one it is in detail and accurate Phantom error indicator evaluation system, qualitative analysis subjective judgement bring error is avoided with this, facilitate assess dynamic simulation Accuracy, and direct study personnel improve emulation simulation model structure or to component models parameter checked all have weight Want meaning.
Summary of the invention
For above-mentioned problems of the prior art, the present invention provides one kind to establish phantom error based on track characteristic The method of evaluation index, in order to by analyzing difference degree between simulation track and actual measurement track, give respectively The phantom error index for providing different meanings shows the error characteristics between emulation and actual measurement track, discloses present in it The relevant physical meaning of electric system.
For achieving the above object, the technical solution adopted by the present invention to solve the technical problems is:
A method of phantom error evaluation index being established based on track characteristic, using the mixing dynamic of impact load injection Measured data is injected analogue system by emulation mode;It is sensitive that is chosen to the trace sensitivity of each parameter by track for computer sim- ulation track Spend biggish parameter set to be corrected;Hybrid dynamic simulation is carried out with the parameter group after correction, calculates the emulation of correction front and back Error criterion, the phantom error index include voltage error index and power error index;The error for comparing correction front and back refers to Size is marked, if the error amount after correction is less than the error amount before correction, is emulated using the parameter after correction.
The voltage error index includes: voltage minimum point error criterion, voltage overshoot error criterion and global error energy Figureofmerit.
The voltage minimum point error criterion:
In formula, min (umeas(t)) minimum of measurement voltage track, min (u are indicatedsimu(t)) emulation voltage trace is indicated Minimum, umeas(0) initial value of measurement voltage track is indicated, which shows that actual measurement and the minimum of emulation voltage trace obtain Error.
The voltage overshoot error criterion:
In formula: max (umeas(t))、max(usimu(t)) it respectively indicates actual measurement and emulates the maximum value of voltage trace, this refers to Mark indicates measurement voltage overshoot and emulates the error between voltage overshoot, umeas(0) initial value of measurement voltage track is indicated.
The global error energy indexes: error criterion is from local dynamic station feature to simulation sequence and real measured data Difference is described, which is: difference energy and actual measurement variable perturbations energy between actual measurement and simulation result Ratio;It indicates under certain disturbed depth, the integral value of error between two curves of simulation result and actual measurement:
In formula: EE indicates global error value, usimu(i) and umeas(i) each moment emulation voltage and actual measurement electricity are respectively indicated Pressure, u0Indicate the initial value of measurement voltage track.
The power error index includes: the first pendulum power magnitude error criterion, active power global error energy indexes; By the comparison of emulation front and back error criterion parameter, and then determine the correlation that the above index can accurately with actual measurement track error, Finally obtain trajectory-based error assessment index system.
The first pendulum power magnitude error criterion::
In formula: P1,siumFor the power maximum value in the first pendulum simulation numerical, P1,measFor the function in the first pendulum measured data Rate maximum value.
The active power global error energy indexes:
In formula: ymeasIt (i) is WAMS measured data, ysiumIt (i) is model emulation numerical value, ystabIt is in for system and stablizes fortune Average value when row, n are number of sampling points.
The global error energy indexes:
In formula: miFor the weight of each error criterion, and indexiThen indicate each error index value, global error index The degree of closeness of Numerical Simulation Results and actual measurement track is described on the whole.
The present invention has the following advantages and beneficial effects:
The present invention establishes voltage, power and global error can be than index, to the mistake between simulation track and actual measurement track Difference is quantified, and the error in judgement as caused by qualitative analysis is effectively avoided.Establish reasonable phantom error index system, it is desirable that The phantom error index system established can not only quantify the difference between emulation and actual measurement track, moreover it is possible to clearly both reflections Between existing error characteristics, and therefrom disclose each correlative of electric system between physical meaning.Therefore, emulation mistake is being established When poor evaluation index, it is necessary to assure the characteristics of index established can show that dynamic variable in system, to assess dynamic simulation Confidence level comprehensive and information abundant is provided.
Method proposed by the present invention provides foundation for effectively assessment emulation and the error of actual measurement, reduces emulation and actual measurement Diversity factor, improve simulation Credibility.
Detailed description of the invention
Understand for the ease of those of ordinary skill in the art and implement the present invention, with reference to the accompanying drawing and specific embodiment The present invention is described in further detail, and the following examples are intended to illustrate the invention, it is to be understood that protection model of the invention It encloses and is not limited by the specific implementation.
Fig. 1 is active power emulation of the present invention front and back and actual measurement comparison diagram;
Fig. 2 is voltage emulation of the present invention front and back and actual measurement comparison diagram.
Specific embodiment
The present invention is a kind of method for establishing phantom error evaluation index based on track characteristic, is found effectively based on track Behavioral characteristics recognition methods establish reasonable phantom error index system, to improve the confidence level of emulation.According to power train Unite it is disturbed after trail change feature, choose the definition that suitable electrical quantity carries out phantom error index, wherein exist to disclose The relevant physical meaning of electric system.According to the operation characteristic of different simulation tracks, voltage error index, power error are established Index and global error energy indexes, as shown in Figure 1, specifically including:
The hybrid dynamic simulation method injected using impact load, injects analogue system for measured data;Computer sim- ulation rail Mark chooses the biggish parameter set to be corrected of trace sensitivity to the trace sensitivity of each parameter;With the parameter group after correction Hybrid dynamic simulation is carried out, the phantom error index of correction front and back is calculated;Finally by before and after revision and analysis track and actual measurement Each error criterion size is verified in the comparison of track, if the correlation between effecting reaction track, if the error after correction The error amount being worth before being less than correction is then emulated using the parameter after correction, and it is credible to be finally reached qualitative assessment dynamic simulation Degree.
Wherein the phantom error index includes voltage error index and power error index.
Voltage error index includes: that voltage minimum point error criterion, voltage overshoot error criterion and global error energy refer to Mark.
Power error index includes: the first pendulum power magnitude error criterion and active power global error energy indexes.It is logical The comparison of emulation front and back error criterion parameter is crossed, and then determines the correlation that the above index can accurately with actual measurement track error, most Trajectory-based error assessment index system is obtained eventually.
Embodiment 1:
A kind of method for establishing phantom error evaluation index based on track characteristic of the present invention is injected using impact load Measured data is injected analogue system by hybrid dynamic simulation method;Computer sim- ulation track is chosen by the trace sensitivity of each parameter The biggish parameter set to be corrected of trace sensitivity;Hybrid dynamic simulation is carried out with the parameter group after correction, before calculating correction Phantom error index afterwards:
One, voltage error index.
Important indicator of the voltage as evaluation power quality, defining voltage error index facilitates dynamic before and after analysis correction The track difference degree of emulation.The dynamic behaviour of busbar voltage and generator rotor angle different from after electric system is disturbed, due to electricity Pressure is not state variable, therefore can be mutated in instant of failure voltage, and voltage error index definition is as follows:
1) voltage minimum point error criterion.
In formula, min (umeas(t)) minimum of measurement voltage track, min (u are indicatedsimu(t)) emulation voltage trace is indicated Minimum, umeas(0) initial value of measurement voltage track is indicated.The index shows actual measurement and emulates the minimum of voltage trace Obtain error.
2) voltage overshoot error criterion.
In formula: max (umeas(t))、max(usimu(t)) it respectively indicates actual measurement and emulates the maximum value of voltage trace, this refers to Mark indicates measurement voltage overshoot and emulates the error between voltage overshoot, umeas(0) initial value of measurement voltage track is indicated.
3) global error energy indexes.
Above-mentioned error criterion is described the difference of simulation sequence and real measured data from local dynamic station feature, the mistake The meaning of poor energy ratio is: the ratio of difference energy and actual measurement variable perturbations energy between actual measurement and simulation result.It illustrates Under certain disturbed depth, the integral value of error between two curves of simulation result and actual measurement.
In formula: EE indicates global error value, usimu(i) and umeas(i) each moment emulation voltage and actual measurement electricity are respectively indicated Pressure, u0Indicate the initial value of measurement voltage track.
Two, power error index.
1) the first pendulum power magnitude error criterion:
When being disturbed influences, active power can vibrate for electric system.In Power System Dynamic Simulation research The dynamic process of several cycles of oscillation before usually only focusing on, first amplitude of oscillation of active power can be with characterization failure after being removed Can system restore stable.The size of first pendulum power magnitude reflects disturbance to the size of system shock.Such as synchronous generator When model and its parameter inaccuracy, the simulation result of active power output can have biggish error in the first pendulum.Therefore wattful power Rate first amplitude of oscillation value can be used as an individual numerical simulation error criterion, to evaluate accuracy of simulation, and have specific object Manage meaning.First pendulum power magnitude error criterion is defined as follows:
In formula: P1,siumFor the power maximum value in the first pendulum simulation numerical, P1,measFor the function in the first pendulum measured data Rate maximum value.
2) active power global error energy indexes:
In formula: ymeasIt (i) is WAMS measured data, ysiumIt (i) is model emulation numerical value, ystaB is that system is in stable fortune Average value when row, n are number of sampling points.
Three, global error energy indexes:
In formula: miFor the weight of each error criterion, and indexiThen indicate each error index value, global error index The degree of closeness of Numerical Simulation Results and actual measurement track is described on the whole.As shown in Figure 2.
Every error criterion after correcting as can be seen from Table 1 is obviously reduced, and the error criterion system is accurately anti- The error characteristics between the emulation of correction front and back and actual measurement track are mirrored, provide good judging basis for parameters validation work.
Table 1 is the numerical simulation error calculation result before and after certain parameter correction.
1. phantom error index result table of table
The above specific embodiment is merely illustrative of the technical solution of the present invention, rather than its limitations, fields it is general Lead to it is to be understood by the skilled artisans that any type of modification, equivalent variations are in right of the present invention referring to made by above-described embodiment Within the scope of claimed.

Claims (9)

1. a kind of method for establishing phantom error evaluation index based on track characteristic, it is characterized in that: using impact load injection Measured data is injected analogue system by hybrid dynamic simulation method;Computer sim- ulation track is chosen by the trace sensitivity of each parameter The biggish parameter set to be corrected of trace sensitivity;Hybrid dynamic simulation is carried out with the parameter group after correction, before calculating correction Phantom error index afterwards, the phantom error index include voltage error index and power error index;Compare correction front and back Error criterion size, if correction after error amount be less than correction before error amount, using correction after parameter emulated.
2. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 1, it is characterized in that: The voltage error index includes: voltage minimum point error criterion, voltage overshoot error criterion and global error energy indexes.
3. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 2, it is characterized in that: The voltage minimum point error criterion:
In formula, min (umeas(t)) minimum of measurement voltage track, min (u are indicatedsimu(t)) emulation voltage trace is indicated most Low value, umeas(0) initial value of measurement voltage track is indicated, which shows that actual measurement and the minimum of emulation voltage trace must miss Difference.
4. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 2, it is characterized in that: The voltage overshoot error criterion:
In formula: max (umeas(t))、max(usimu(t)) it respectively indicates actual measurement and emulates the maximum value of voltage trace, the index table Show measurement voltage overshoot and emulates the error between voltage overshoot, umeas(0) initial value of measurement voltage track is indicated.
5. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 2, it is characterized in that: The global error energy indexes:
Error criterion is described the difference of simulation sequence and real measured data from local dynamic station feature, the error energy ratio It is: the ratio of difference energy and actual measurement variable perturbations energy between actual measurement and simulation result;It indicates under certain disturbed depth, The integral value of error between two curves of simulation result and actual measurement:
In formula: EE indicates global error value, usimu(i) and umeas(i) each moment emulation voltage and measurement voltage are respectively indicated, u0Indicate the initial value of measurement voltage track.
6. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 1, it is characterized in that: The power error index includes: the first pendulum power magnitude error criterion, active power global error energy indexes;Pass through emulation The comparison of front and back error criterion parameter, and then determine the correlation that the above index can accurately with actual measurement track error, finally obtain Trajectory-based error assessment index system.
7. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 6, it is characterized in that: The first pendulum power magnitude error criterion::
In formula: P1,siumFor the power maximum value in the first pendulum simulation numerical, P1,measMost for the power in the first pendulum measured data Big value.
8. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 1, it is characterized in that: The active power global error energy indexes:
In formula: ymeasIt (i) is WAMS measured data, ysiumIt (i) is model emulation numerical value, ystabWhen being in stable operation for system Average value, n is number of sampling points.
9. a kind of method that phantom error evaluation index is established based on track characteristic according to claim 2, it is characterized in that: The global error energy indexes:
In formula: miFor the weight of each error criterion, and indexiThen indicate each error index value, global error index is whole The degree of closeness of Numerical Simulation Results and actual measurement track is described on body.
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CN111597704A (en) * 2020-05-12 2020-08-28 东北电力大学 Method for identifying simulation error-causing area of power system by using measured information

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CN111597704A (en) * 2020-05-12 2020-08-28 东北电力大学 Method for identifying simulation error-causing area of power system by using measured information
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