Impedance fidelity evaluation method and device for electromagnetic transient model of new energy unit

Abstract

The application provides an impedance fidelity evaluation method and device for a new energy unit electromagnetic transient model, and relates to the technical field of new energy. The method comprises the following steps: determining a target oscillation risk frequency band of a new energy unit electromagnetic transient model, and determining a target quantitative evaluation index corresponding to the target oscillation risk frequency band; performing band numerical value adjustment on a target band numerical value interval corresponding to a target parameter type, to obtain measured impedance parameters of the new energy unit and measured impedance parameters of the new energy unit electromagnetic transient model corresponding to each frequency point at each adjustment time; and obtaining an impedance fidelity evaluation result by using the target quantitative evaluation index and according to the measured impedance parameters and the measured impedance parameters at each adjustment time. The device executes the above method. The method and device provided in the application embodiment can guarantee the effectiveness and accuracy of full-condition and full-frequency-band oscillation risk evaluation.

Description

Technical Field

[0001] The present invention relates to the field of new energy technology, and in particular to a method and device for evaluating the impedance fidelity of an electromagnetic transient model of a new energy unit. Background Art

[0002] As the proportion of renewable energy continues to increase, the structure and operating mechanisms of power systems are undergoing profound changes. Oscillations in large-scale renewable energy systems remain common, seriously impacting the safe and stable operation of these systems. Broadband impedance scanning and electromagnetic transient simulation are the primary methods for assessing the risk of broadband oscillations in these systems. The accuracy and completeness of the broadband impedance characteristics of electromagnetic transient models for renewable energy units directly impact the assessment results.

[0003] The current industry standard requires that the impedance amplitude and phase errors of the unit's electromagnetic transient model within the 2.5-1000 Hz range must not exceed ±10dB and ±10 degrees. This standard presents the following challenges in practical engineering applications: First, error metrics based on a single frequency point make it difficult to fully measure the fidelity of the unit's electromagnetic transient model's impedance characteristics, thus failing to ensure the effectiveness of oscillation risk assessments across all operating conditions and frequency bands. Second, due to limitations in the simulation platform's capabilities, the electromagnetic transient model struggles to fully meet error requirements within the 2.5-1000 Hz wide frequency range. Summary of the Invention

[0004] In response to the problems in the prior art, an embodiment of the present invention provides a method and device for evaluating the impedance fidelity of an electromagnetic transient model of a new energy generator set, which can at least partially solve the problems in the prior art.

[0005] In one aspect, the present invention proposes a method for evaluating the impedance fidelity of an electromagnetic transient model of a new energy generator set, comprising:

[0006] Determine the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determine the target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0007] Adjusting the bandwidth value within the target bandwidth value interval corresponding to the target parameter type, and obtaining the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment;

[0008] The target quantitative evaluation index is used and according to the measured impedance parameter and the measured impedance parameter during each adjustment, an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained.

[0009] The step of determining the target oscillation risk frequency band of the electromagnetic transient model of the new energy generating unit includes:

[0010] Obtaining a phase stability margin of the interconnected system, and determining a frequency band in which the phase stability margin is lower than a preset stability threshold as a high oscillation risk frequency band;

[0011] Determining a frequency band in which the phase stability margin is higher than the preset stability threshold as a low oscillation risk frequency band;

[0012] The interconnected system is a system in which the new energy generating units and the access systems of the new energy generating units are interconnected.

[0013] The step of determining a target quantitative evaluation indicator corresponding to the target oscillation risk frequency band includes:

[0014] If it is determined that the target oscillation risk frequency band is the high oscillation risk frequency band, determining the target quantitative evaluation index to be a numerical consistency evaluation index and a trend consistency evaluation index;

[0015] If it is determined that the target oscillation risk frequency band is the low oscillation risk frequency band, then the target quantitative evaluation index is determined to be a trend consistency evaluation index.

[0016] The measured impedance parameters include a measured impedance amplitude and a measured impedance phase, and the measured impedance parameters include a measured impedance amplitude and a measured impedance phase. Accordingly, the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained by using the target quantitative evaluation index and according to the measured impedance parameters and the measured impedance parameters adjusted each time, including:

[0017] Determining a first candidate frequency point corresponding to a minimum impedance amplitude error and a second candidate frequency point corresponding to a minimum impedance phase error during each adjustment; the impedance amplitude error is calculated based on the measured impedance amplitude and the measured impedance amplitude, and the impedance phase error is calculated based on the measured impedance phase and the measured impedance phase;

[0018] Selecting a first candidate frequency point with a minimum impedance amplitude error from all the adjusted first candidate frequency points as a first target frequency point, and selecting a second candidate frequency point with a minimum impedance phase error from all the adjusted second candidate frequency points as a second target frequency point;

[0019] Determining a first intermediate evaluation result based on a first comparison result of an impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of an impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold;

[0020] Determining a first correlation coefficient corresponding to each adjustment based on the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point during each adjustment, and determining a second correlation coefficient corresponding to each adjustment based on the measured impedance phase and the measured impedance phase corresponding to each frequency point during each adjustment;

[0021] selecting a first maximum correlation coefficient from all adjusted first correlation coefficients, and selecting a second maximum correlation coefficient from all adjusted second correlation coefficients;

[0022] determining a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold;

[0023] The high oscillation risk frequency band is evaluated according to the first intermediate evaluation result and the second intermediate evaluation result, and the low oscillation risk frequency band is evaluated according to the second intermediate evaluation result to obtain the impedance fidelity evaluation result.

[0024] The determining of the first intermediate evaluation result based on a first comparison result of the impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of the impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold, includes:

[0025] If it is determined that the impedance amplitude error corresponding to the first target frequency point is less than a preset impedance amplitude error threshold, and the impedance phase error corresponding to the second target frequency point is less than a preset impedance phase error threshold, then determining that the first intermediate evaluation result is an evaluation pass;

[0026] If it is determined that the impedance amplitude error corresponding to the first target frequency point is greater than or equal to a preset impedance amplitude error threshold, and / or the impedance phase error corresponding to the second target frequency point is greater than or equal to a preset impedance phase error threshold, then the first intermediate evaluation result is determined to be evaluation failure.

[0027] The determining of the second intermediate evaluation result according to the third comparison result of the first maximum correlation coefficient and the first preset correlation coefficient threshold, and the fourth comparison result of the second maximum correlation coefficient and the second preset correlation coefficient threshold, includes:

[0028] If it is determined that the first maximum correlation coefficient is greater than a first preset correlation coefficient threshold, and the second maximum correlation coefficient is greater than a second preset correlation coefficient threshold, determining that the second intermediate evaluation result is an evaluation pass;

[0029] If it is determined that the first maximum correlation coefficient is less than or equal to a first preset correlation coefficient threshold, and / or the second maximum correlation coefficient is less than or equal to a second preset correlation coefficient threshold, the second intermediate evaluation result is determined to be evaluation failure.

[0030] The step of evaluating the high oscillation risk frequency band according to the first intermediate evaluation result and the second intermediate evaluation result, and evaluating the low oscillation risk frequency band according to the second intermediate evaluation result, to obtain the impedance fidelity evaluation result, includes:

[0031] If it is determined that at least one of the first intermediate evaluation result and the second intermediate evaluation result fails the evaluation, then determining that the high oscillation risk frequency band evaluation fails;

[0032] If it is determined that both the first intermediate evaluation result and the second intermediate evaluation result are passed, then it is determined that the high oscillation risk frequency band evaluation has passed;

[0033] If it is determined that both the high oscillation risk frequency band and the low oscillation risk frequency band are evaluated as passed, then the impedance fidelity evaluation result is determined to be evaluated as passed;

[0034] If it is determined that at least one of the high oscillation risk frequency band and the low oscillation risk frequency band fails the evaluation, the impedance fidelity evaluation result is determined to be an evaluation failure.

[0035] In one aspect, the present invention provides an impedance fidelity assessment device for an electromagnetic transient model of a new energy generator set, comprising:

[0036] a determination unit, configured to determine a target oscillation risk frequency band of an electromagnetic transient model of a new energy generating unit, and determine a target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0037] An acquisition unit is configured to adjust the bandwidth value within a target bandwidth value interval corresponding to the target parameter type, and obtain the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment;

[0038] An evaluation unit is used to obtain an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit by using the target quantitative evaluation index and according to the measured impedance parameter and the measured impedance parameter during each adjustment.

[0039] In another aspect, an embodiment of the present invention provides an electronic device, comprising: a processor, a memory, and a bus, wherein:

[0040] The processor and the memory communicate with each other via the bus;

[0041] The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the following method:

[0042] a determination unit, configured to determine a target oscillation risk frequency band of an electromagnetic transient model of a new energy generating unit, and determine a target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0043] An acquisition unit is configured to adjust the bandwidth value within a target bandwidth value interval corresponding to the target parameter type, and obtain the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment;

[0044] An evaluation unit is used to obtain an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit by using the target quantitative evaluation index and according to the measured impedance parameter and the measured impedance parameter during each adjustment.

[0045] An embodiment of the present invention provides a non-transitory computer-readable storage medium, including:

[0046] The non-transitory computer-readable storage medium stores computer instructions, which cause the computer to execute the following method:

[0047] a determination unit, configured to determine a target oscillation risk frequency band of an electromagnetic transient model of a new energy generating unit, and determine a target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0048] An acquisition unit is configured to adjust the bandwidth value within a target bandwidth value interval corresponding to the target parameter type, and obtain the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment;

[0049] An evaluation unit is used to obtain an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit by using the target quantitative evaluation index and according to the measured impedance parameter and the measured impedance parameter during each adjustment.

[0050] The impedance fidelity assessment method and device for the electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention determine a target oscillation risk frequency band of the electromagnetic transient model of the new energy generator set, and determine a target quantitative assessment index corresponding to the target oscillation risk frequency band; adjust the bandwidth value within a target bandwidth value interval corresponding to the target parameter type, and obtain the measured impedance parameters of the new energy generator set corresponding to each frequency point at each adjustment and the measured impedance parameters of the electromagnetic transient model of the new energy generator set; use the target quantitative assessment index and the measured impedance parameters and the measured impedance parameters at each adjustment to obtain the impedance fidelity assessment result of the electromagnetic transient model of the new energy generator set, thereby ensuring the effectiveness and accuracy of the oscillation risk assessment under all operating conditions and all frequency bands. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0052] Figure 1 It is a flow chart of a method for evaluating the impedance fidelity of an electromagnetic transient model of a new energy generator set provided by one embodiment of the present invention.

[0053] Figure 2 It is a structural schematic diagram of an impedance fidelity assessment device for an electromagnetic transient model of a new energy generator set provided by one embodiment of the present invention.

[0054] Figure 3 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of this application can be combined with each other in any manner.

[0056] The purpose of this invention is to propose a new energy unit electromagnetic transient model impedance fidelity evaluation method to provide a reference basis for the evaluation of the electromagnetic transient model impedance characteristics of new energy units under different access scenarios.

[0057] First, a broadband impedance model of the new energy generator set and its connected system is established. Second, based on the impedance stability criterion, the broadband oscillation mechanism of the connected system is revealed, and the high and low oscillation risk frequency bands of the interconnected system are determined under different output conditions. Finally, the broadband impedance characteristics of the actual new energy generator set are obtained, and the numerical and trend consistency between the impedance measured by the electromagnetic transient model of the new energy generator set and the measured impedance of the actual new energy generator set is quantitatively evaluated. The impedance characteristic error in the high oscillation risk frequency band must meet both trend consistency and numerical consistency indicators, while the impedance characteristic error in the low oscillation risk frequency band only needs to meet the trend consistency indicator.

[0058] The impedance fidelity evaluation method of the electromagnetic transient model of a new energy unit disclosed in the present invention can provide a reference basis for the evaluation of the impedance characteristics of the electromagnetic transient model of a new energy unit under different access scenarios, effectively guide the grid-connected oscillation risk assessment work of new energy stations, and ensure the accuracy of the electromagnetic transient model of a new energy unit in the broadband oscillation risk assessment under different access scenarios.

[0059] Figure 1 FIG. 1 is a flow chart of a method for evaluating the impedance fidelity of an electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention. Figure 1 As shown, the impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention includes:

[0060] Step S1: determining a target oscillation risk frequency band of an electromagnetic transient model of a new energy generating unit, and determining a target quantitative evaluation index corresponding to the target oscillation risk frequency band.

[0061] Step S2: adjusting the bandwidth value in the target bandwidth value interval corresponding to the target parameter type, and obtaining the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment.

[0062] Step S3: using the target quantitative evaluation index and according to the measured impedance parameters and the measured impedance parameters during each adjustment, obtaining an impedance fidelity evaluation result of the electromagnetic transient model of the new energy generator set.

[0063] In step S1 above, the device determines the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit and determines the target quantitative assessment index corresponding to the target oscillation risk frequency band. The device can be a computer device that executes the method. Prior to this step, a broadband impedance model of the new energy unit (i.e., the electromagnetic transient model of the new energy unit) can be established, including establishing broadband impedance models of new energy units such as doubly fed wind turbines, direct-drive wind turbines, energy storage units, and photovoltaic power generation units, with a frequency range covering 1 to 2500 Hz.

[0064] A broadband impedance model of the new energy unit access system can be established, including the establishment of broadband impedance models of the new energy unit access system such as AC power grid, power load, flexible DC MMC, conventional DC LCC, etc., with a frequency range of 1 to 2500Hz.

[0065] Determining the target oscillation risk frequency band of the electromagnetic transient model of the new energy generating unit includes:

[0066] Obtaining a phase stability margin of the interconnected system, and determining a frequency band in which the phase stability margin is lower than a preset stability threshold as a high oscillation risk frequency band;

[0067] Determining a frequency band in which the phase stability margin is higher than the preset stability threshold as a low oscillation risk frequency band;

[0068] The interconnected system is a system in which the new energy generating units and the access systems of the new energy generating units are interconnected.

[0069] Determining the preset stability threshold includes:

[0070] The preset stability threshold is set according to the numerical range of different output values ​​of the new energy unit.

[0071] Based on the broadband oscillation mechanism of the new energy unit access system revealed by the impedance stability criterion, the new energy unit and the connected system can be divided into source / load subsystems respectively. When the new energy unit has a low output (output less than 0.3pu), the stability threshold of the interconnected system is set, and the frequency band where the phase stability margin of the interconnected system is lower than the preset stability threshold is determined as a high oscillation risk frequency band, and the frequency band where the phase stability margin of the interconnected system is higher than the preset stability threshold is determined as a low oscillation risk frequency band.

[0072] Based on the broadband oscillation mechanism of the new energy unit access system revealed by the impedance stability criterion, the new energy unit and the connected system can be divided into source / load subsystems respectively. When the new energy unit has a medium output (output of 0.5 pu), the stability threshold of the interconnected system is set, and the frequency band where the phase stability margin of the interconnected system is lower than the preset stability threshold is determined as a high oscillation risk frequency band, and the frequency band where the phase stability margin of the interconnected system is higher than the preset stability threshold is determined as a low oscillation risk frequency band.

[0073] Based on the broadband oscillation mechanism of the new energy unit access system revealed by the impedance stability criterion, the new energy unit and the connected system can be divided into source / load subsystems respectively. When the new energy unit has a large output (output greater than 0.8pu), the stability threshold of the interconnected system is set, and the frequency band where the phase stability margin of the interconnected system is lower than the preset stability threshold is determined as the system high oscillation risk frequency band, and the frequency band where the phase stability margin of the interconnected system is higher than the preset stability threshold is determined as the system low oscillation risk frequency band.

[0074] The determining of a target quantitative evaluation index corresponding to the target oscillation risk frequency band includes:

[0075] If it is determined that the target oscillation risk frequency band is the high oscillation risk frequency band, determining the target quantitative evaluation index to be a numerical consistency evaluation index and a trend consistency evaluation index;

[0076] If it is determined that the target oscillation risk frequency band is the low oscillation risk frequency band, then the target quantitative evaluation index is determined to be a trend consistency evaluation index.

[0077] Numerical consistency evaluation indicators can use absolute error, relative error, mean square error, etc. as quantitative evaluation indicators.

[0078] Trend consistency evaluation indicators can use Pearson correlation coefficient, Spearman correlation coefficient, cosine similarity, etc. as quantitative evaluation indicators.

[0079] The impedance characteristic error in high-oscillation-risk frequency bands must meet both trend consistency and numerical consistency indicators. Based on the measured impedance of actual new energy units, the impedance measured in the electromagnetic transient model of new energy units in high-oscillation-risk frequency bands must meet both trend consistency and numerical consistency indicators. In low-oscillation-risk frequency bands, the impedance measured in the electromagnetic transient model of new energy units only needs to meet trend consistency indicators.

[0080] In the above step S2, the device adjusts the bandwidth value within the target bandwidth value interval corresponding to the target parameter type, and obtains the measured impedance parameters of the new energy unit corresponding to each frequency point at each adjustment and the measured impedance parameters of the electromagnetic transient model of the new energy unit. Taking the absolute error as an example, the following is explained:

[0081] Absolute error is the absolute value of the difference between the measured value and the true value, which is used to evaluate the numerical consistency of impedance. In the impedance measurement of new energy units, it represents the absolute difference between the measured impedance and the true impedance at each measurement point. Impedance amplitude absolute error e Z The calculation formula is as follows:

[0082] e Z =|Z meas,i -Z ref,i |

[0083] Among them, Z meas,i is the measured impedance amplitude of the electromagnetic transient simulation model at the i-th frequency point, Z ref,i is the measured impedance amplitude at the ith frequency point.

[0084] Impedance phase absolute error e θ The calculation formula is as follows:

[0085] e θ =|θ meas,i -θ ref,i |

[0086] Among them, θ meas,i is the impedance phase measured by the electromagnetic transient simulation model at the i-th frequency point, θ ref,i is the measured impedance phase at the ith frequency point.

[0087] Taking the Pearson correlation coefficient as an example of a trend consistency evaluation indicator, the following is explained:

[0088] Taking the impedance amplitude as an example, the calculation formula of the correlation coefficient r is as follows:

[0089]

[0090] Among them, x i and y i are the measured impedance amplitude and the measured impedance amplitude of the electromagnetic transient simulation model, and are their means respectively, and n is the total number of frequency points.

[0091] The closer |r| is to 1, the stronger the linear relationship between the two variables is;

[0092] r>0 indicates positive correlation, r<0 indicates negative correlation;

[0093] An |r| between 0.7 and 1 is generally considered a strong correlation, between 0.3 and 0.7 a moderate correlation, and between 0 and 0.3 a weak correlation.

[0094] The target bandwidth value range corresponding to the target parameter type is shown in Table 1:

[0095] Table 1

[0096]

[0097] That is, the target bandwidth value range corresponding to the current inner loop bandwidth is 100-500 Hz, the target bandwidth value range corresponding to the phase-locked loop bandwidth is 10-50 Hz, and the target bandwidth value range corresponding to the DC voltage loop bandwidth is 10-30 Hz.

[0098] The bandwidth value can be adjusted according to the preset adjustment step. Taking the current inner loop bandwidth as an example, each time the bandwidth is adjusted from 100Hz, a set of measured impedance amplitudes and measured impedance amplitudes are recorded. The set includes the measured impedance amplitudes and measured impedance amplitudes of n frequency points. A set of measured impedance phases and measured impedance phases are also recorded. The set includes the measured impedance phases and measured impedance phases of n frequency points.

[0099] In the above step S3, the device uses the target quantitative evaluation index and obtains the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit based on the measured impedance parameters and measured impedance parameters during each adjustment. The measured impedance parameters include the measured impedance amplitude and the measured impedance phase, and the measured impedance parameters include the measured impedance amplitude and the measured impedance phase; accordingly, the device uses the target quantitative evaluation index and obtains the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit based on the measured impedance parameters and measured impedance parameters during each adjustment, including:

[0100] Determining a first candidate frequency point corresponding to a minimum impedance amplitude error and a second candidate frequency point corresponding to a minimum impedance phase error during each adjustment; the impedance amplitude error is calculated based on the measured impedance amplitude and the measured impedance amplitude, and the impedance phase error is calculated based on the measured impedance phase and the measured impedance phase;

[0101] Selecting a first candidate frequency point with a minimum impedance amplitude error from all the adjusted first candidate frequency points as a first target frequency point, and selecting a second candidate frequency point with a minimum impedance phase error from all the adjusted second candidate frequency points as a second target frequency point;

[0102] Determining a first intermediate evaluation result based on a first comparison result of an impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of an impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold;

[0103] Determining a first correlation coefficient corresponding to each adjustment based on the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point during each adjustment, and determining a second correlation coefficient corresponding to each adjustment based on the measured impedance phase and the measured impedance phase corresponding to each frequency point during each adjustment;

[0104] selecting a first maximum correlation coefficient from all adjusted first correlation coefficients, and selecting a second maximum correlation coefficient from all adjusted second correlation coefficients;

[0105] determining a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold;

[0106] The high oscillation risk frequency band is evaluated according to the first intermediate evaluation result and the second intermediate evaluation result, and the low oscillation risk frequency band is evaluated according to the second intermediate evaluation result to obtain the impedance fidelity evaluation result.

[0107] Determining a first intermediate evaluation result based on a first comparison result of the impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of the impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold, includes:

[0108] If it is determined that the impedance amplitude error corresponding to the first target frequency point is less than a preset impedance amplitude error threshold, and the impedance phase error corresponding to the second target frequency point is less than a preset impedance phase error threshold, then determining that the first intermediate evaluation result is an evaluation pass;

[0109] If it is determined that the impedance amplitude error corresponding to the first target frequency point is greater than or equal to a preset impedance amplitude error threshold, and / or the impedance phase error corresponding to the second target frequency point is greater than or equal to a preset impedance phase error threshold, then the first intermediate evaluation result is determined to be evaluation failure.

[0110] Determining a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold, includes:

[0111] If it is determined that the first maximum correlation coefficient is greater than a first preset correlation coefficient threshold, and the second maximum correlation coefficient is greater than a second preset correlation coefficient threshold, determining that the second intermediate evaluation result is an evaluation pass;

[0112] If it is determined that the first maximum correlation coefficient is less than or equal to a first preset correlation coefficient threshold, and / or the second maximum correlation coefficient is less than or equal to a second preset correlation coefficient threshold, the second intermediate evaluation result is determined to be evaluation failure.

[0113] The step of evaluating the high oscillation risk frequency band according to the first intermediate evaluation result and the second intermediate evaluation result, and evaluating the low oscillation risk frequency band according to the second intermediate evaluation result, to obtain the impedance fidelity evaluation result, includes:

[0114] If it is determined that at least one of the first intermediate evaluation result and the second intermediate evaluation result fails the evaluation, then determining that the high oscillation risk frequency band evaluation fails;

[0115] If it is determined that both the first intermediate evaluation result and the second intermediate evaluation result are passed, then it is determined that the high oscillation risk frequency band evaluation has passed;

[0116] If it is determined that both the high oscillation risk frequency band and the low oscillation risk frequency band are evaluated as passed, then the impedance fidelity evaluation result is determined to be evaluated as passed;

[0117] If it is determined that at least one of the high oscillation risk frequency band and the low oscillation risk frequency band fails the evaluation, the impedance fidelity evaluation result is determined to be an evaluation failure.

[0118] Taking the current inner loop bandwidth as an example, the corresponding preset impedance amplitude error threshold is 3 dB, and the corresponding preset impedance phase error threshold is 9°.

[0119] To determine the first correlation coefficient and the second correlation coefficient corresponding to each adjustment, the calculation expression of r mentioned above may be referred to.

[0120] Referring to the above description, taking the current inner loop bandwidth as an example, the corresponding first preset correlation coefficient threshold is 0.86, and the corresponding second preset correlation coefficient threshold is 0.88.

[0121] An impedance fidelity assessment method for an electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention determines a target oscillation risk frequency band of the electromagnetic transient model of the new energy generator set, and determines a target quantitative assessment index corresponding to the target oscillation risk frequency band; adjusts the bandwidth value within a target bandwidth value interval corresponding to the target parameter type, and obtains the measured impedance parameters of the new energy generator set corresponding to each frequency point during each adjustment and the measured impedance parameters of the electromagnetic transient model of the new energy generator set; utilizes the target quantitative assessment index and, based on the measured impedance parameters and the measured impedance parameters during each adjustment, obtains an impedance fidelity assessment result of the electromagnetic transient model of the new energy generator set, thereby ensuring the effectiveness and accuracy of oscillation risk assessment under all operating conditions and all frequency bands.

[0122] Furthermore, determining the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit includes:

[0123] The phase stability margin of the interconnected system is obtained, and a frequency band in which the phase stability margin is lower than a preset stability threshold is determined as a high oscillation risk frequency band; this can be described with reference to the above embodiment and will not be repeated here.

[0124] The frequency band in which the phase stability margin is higher than the preset stability threshold is determined as a low oscillation risk frequency band; this can be described with reference to the above embodiment and will not be repeated herein.

[0125] The interconnected system is a system in which the new energy generator set and the access system of the new energy generator set are interconnected.

[0126] Furthermore, determining a target quantitative evaluation index corresponding to the target oscillation risk frequency band includes:

[0127] If it is determined that the target oscillation risk frequency band is the high oscillation risk frequency band, the target quantitative evaluation index is determined to be a numerical consistency evaluation index and a trend consistency evaluation index; the above embodiment can be referred to for description and will not be repeated here.

[0128] If the target oscillation risk frequency band is determined to be the low oscillation risk frequency band, the target quantitative evaluation index is determined to be the trend consistency evaluation index.

[0129] Furthermore, the measured impedance parameters include a measured impedance amplitude and a measured impedance phase, and the measured impedance parameters include a measured impedance amplitude and a measured impedance phase; accordingly, the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained by using the target quantitative evaluation index and according to the measured impedance parameters and the measured impedance parameters adjusted each time, including:

[0130] Determine the first selected frequency point corresponding to the minimum impedance amplitude error during each adjustment, and the second selected frequency point corresponding to the minimum impedance phase error; the impedance amplitude error is calculated based on the measured impedance amplitude and the measured impedance amplitude, and the impedance phase error is calculated based on the measured impedance phase and the measured impedance phase; refer to the above embodiment for description and no further details are given.

[0131] The first selected frequency point with the smallest impedance amplitude error is selected from all the adjusted first selected frequency points as the first target frequency point, and the second selected frequency point with the smallest impedance phase error is selected from all the adjusted second selected frequency points as the second target frequency point; the above-mentioned embodiment can be referred to for explanation and will not be repeated here.

[0132] A first intermediate evaluation result is determined based on a first comparison result of the impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of the impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold; this can be described with reference to the above embodiment and will not be repeated here.

[0133] According to the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point at each adjustment, the first correlation coefficient corresponding to each adjustment is determined, and according to the measured impedance phase and the measured impedance phase corresponding to each frequency point at each adjustment, the second correlation coefficient corresponding to each adjustment is determined; the above-mentioned embodiment can be referred to for description and will not be repeated here.

[0134] A first maximum correlation coefficient is selected from all adjusted first correlation coefficients, and a second maximum correlation coefficient is selected from all adjusted second correlation coefficients; this can be described with reference to the above embodiment and will not be repeated here.

[0135] The second intermediate evaluation result is determined based on the third comparison result of the first maximum correlation coefficient and the first preset correlation coefficient threshold, and the fourth comparison result of the second maximum correlation coefficient and the second preset correlation coefficient threshold; the above embodiment can be referred to for description and will not be repeated here.

[0136] The high oscillation risk frequency band is evaluated based on the first intermediate evaluation result and the second intermediate evaluation result, and the low oscillation risk frequency band is evaluated based on the second intermediate evaluation result to obtain the impedance fidelity evaluation result. This can be described with reference to the above embodiment and will not be repeated here.

[0137] Furthermore, determining a first intermediate evaluation result based on a first comparison result of the impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of the impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold, includes:

[0138] If it is determined that the impedance amplitude error corresponding to the first target frequency point is less than the preset impedance amplitude error threshold, and the impedance phase error corresponding to the second target frequency point is less than the preset impedance phase error threshold, then the first intermediate evaluation result is determined to be evaluated as passed; please refer to the above embodiment for description and no further details will be given.

[0139] If it is determined that the impedance amplitude error corresponding to the first target frequency point is greater than or equal to a preset impedance amplitude error threshold, and / or the impedance phase error corresponding to the second target frequency point is greater than or equal to a preset impedance phase error threshold, then the first intermediate evaluation result is determined to be a failure. This can be explained with reference to the above embodiment and will not be repeated here.

[0140] Furthermore, determining a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold, includes:

[0141] If it is determined that the first maximum correlation coefficient is greater than the first preset correlation coefficient threshold, and the second maximum correlation coefficient is greater than the second preset correlation coefficient threshold, then the second intermediate evaluation result is determined to be passed; please refer to the above embodiment for description and will not repeat it again.

[0142] If it is determined that the first maximum correlation coefficient is less than or equal to a first preset correlation coefficient threshold, and / or the second maximum correlation coefficient is less than or equal to a second preset correlation coefficient threshold, the second intermediate evaluation result is determined to be a failure.

[0143] Furthermore, the evaluating the high oscillation risk frequency band according to the first intermediate evaluation result and the second intermediate evaluation result, and the evaluating the low oscillation risk frequency band according to the second intermediate evaluation result, to obtain the impedance fidelity evaluation result, includes:

[0144] If it is determined that at least one of the first intermediate evaluation result and the second intermediate evaluation result fails the evaluation, it is determined that the high oscillation risk frequency band evaluation fails. The above description may be referred to and will not be repeated here.

[0145] If it is determined that both the first intermediate evaluation result and the second intermediate evaluation result are passed, it is determined that the high oscillation risk frequency band evaluation is passed; the above embodiment can be referred to for description and will not be repeated here.

[0146] If it is determined that both the high oscillation risk frequency band and the low oscillation risk frequency band are evaluated as passed, then the impedance fidelity evaluation result is determined to be evaluated as passed; reference may be made to the above embodiment for description, which will not be repeated here.

[0147] If it is determined that at least one of the high oscillation risk frequency band and the low oscillation risk frequency band fails the evaluation, the impedance fidelity evaluation result is determined to be a failure.

[0148] Figure 2 FIG. 1 is a schematic diagram of the structure of an impedance fidelity evaluation device for an electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention. Figure 2 As shown, the impedance fidelity evaluation device for the electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention includes a determination unit 201, an acquisition unit 202 and an evaluation unit 203, wherein:

[0149] The determination unit 201 is used to determine the target oscillation risk frequency band of the electromagnetic transient model of the new energy generator set, and determine the target quantitative evaluation index corresponding to the target oscillation risk frequency band; the acquisition unit 202 is used to adjust the bandwidth value in the target bandwidth value interval corresponding to the target parameter type, and obtain the measured impedance parameters of the new energy generator set corresponding to each frequency point during each adjustment and the measured impedance parameters of the electromagnetic transient model of the new energy generator set; the evaluation unit 203 is used to use the target quantitative evaluation index and, based on the measured impedance parameters and the measured impedance parameters during each adjustment, obtain the impedance fidelity evaluation result of the electromagnetic transient model of the new energy generator set.

[0150] Specifically, the determination unit 201 in the device is used to determine the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determine the target quantitative evaluation index corresponding to the target oscillation risk frequency band; the acquisition unit 202 is used to adjust the bandwidth value in the target bandwidth value interval corresponding to the target parameter type, and obtain the measured impedance parameters of the new energy unit corresponding to each frequency point at each adjustment and the measured impedance parameters of the electromagnetic transient model of the new energy unit; the evaluation unit 203 is used to use the target quantitative evaluation index and, based on the measured impedance parameters and the measured impedance parameters at each adjustment, obtain the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit.

[0151] An impedance fidelity assessment device for an electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention determines a target oscillation risk frequency band of the electromagnetic transient model of the new energy generator set and determines a target quantitative assessment index corresponding to the target oscillation risk frequency band; adjusts the bandwidth value within a target bandwidth value interval corresponding to the target parameter type to obtain the measured impedance parameters of the new energy generator set corresponding to each frequency point during each adjustment and the measured impedance parameters of the electromagnetic transient model of the new energy generator set; utilizes the target quantitative assessment index and, based on the measured impedance parameters and the measured impedance parameters during each adjustment, obtains an impedance fidelity assessment result of the electromagnetic transient model of the new energy generator set, thereby ensuring the effectiveness and accuracy of oscillation risk assessment under all operating conditions and all frequency bands.

[0152] The embodiment of the present invention provides an embodiment of the impedance fidelity assessment device for the electromagnetic transient model of a new energy unit, which can be specifically used to execute the processing flow of the above-mentioned method embodiments. Its functions are not repeated here, and reference can be made to the detailed description of the above-mentioned method embodiments.

[0153] Figure 3 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as Figure 3 As shown, the electronic device includes: a processor 301, a memory 302 and a bus 303;

[0154] The processor 301 and the memory 302 communicate with each other via the bus 303.

[0155] The processor 301 is configured to call the program instructions in the memory 302 to execute the methods provided by the above method embodiments, for example, including:

[0156] Determine the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determine the target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0157] Adjusting the bandwidth value within the target bandwidth value interval corresponding to the target parameter type, and obtaining the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment;

[0158] The target quantitative evaluation index is used and according to the measured impedance parameter and the measured impedance parameter during each adjustment, an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained.

[0159] This embodiment discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can perform the methods provided in the above-mentioned method embodiments, for example, including:

[0160] Determine the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determine the target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0161] Adjusting the bandwidth value within the target bandwidth value interval corresponding to the target parameter type, and obtaining the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment;

[0162] The target quantitative evaluation index is used and according to the measured impedance parameter and the measured impedance parameter during each adjustment, an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained.

[0163] This embodiment provides a computer-readable storage medium storing a computer program. The computer program enables the computer to execute the methods provided in the above method embodiments, for example, including:

[0164] Determine the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determine the target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0165] Adjusting the bandwidth value within the target bandwidth value interval corresponding to the target parameter type, and obtaining the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment;

[0166] The target quantitative evaluation index is used and according to the measured impedance parameter and the measured impedance parameter during each adjustment, an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained.

[0167] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0168] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0169] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0170] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0171] Throughout this specification, reference to terms such as "one embodiment," "a specific embodiment," "some embodiments," "for example," "example," "specific example," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0172] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for evaluating the impedance fidelity of an electromagnetic transient model of a new energy generator set, characterized in that: include: Determine the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determine the target quantitative evaluation index corresponding to the target oscillation risk frequency band; Adjusting the bandwidth value within the target bandwidth value interval corresponding to the target parameter type, and obtaining the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment; Obtaining an impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit by using the target quantitative evaluation index and according to the measured impedance parameter and the measured impedance parameter during each adjustment; The measured impedance parameters include a measured impedance amplitude and a measured impedance phase, and the measured impedance parameters include a measured impedance amplitude and a measured impedance phase; accordingly, the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained by using the target quantitative evaluation index and according to the measured impedance parameters and the measured impedance parameters adjusted each time, including: Determining a first candidate frequency point corresponding to a minimum impedance amplitude error and a second candidate frequency point corresponding to a minimum impedance phase error during each adjustment; the impedance amplitude error is calculated based on the measured impedance amplitude and the measured impedance amplitude, and the impedance phase error is calculated based on the measured impedance phase and the measured impedance phase; Selecting a first candidate frequency point with a minimum impedance amplitude error from all the adjusted first candidate frequency points as a first target frequency point, and selecting a second candidate frequency point with a minimum impedance phase error from all the adjusted second candidate frequency points as a second target frequency point; Determining a first intermediate evaluation result based on a first comparison result of an impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of an impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold; Determining a first correlation coefficient corresponding to each adjustment based on the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point during each adjustment, and determining a second correlation coefficient corresponding to each adjustment based on the measured impedance phase and the measured impedance phase corresponding to each frequency point during each adjustment; selecting a first maximum correlation coefficient from all adjusted first correlation coefficients, and selecting a second maximum correlation coefficient from all adjusted second correlation coefficients; determining a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold; The impedance fidelity evaluation result is obtained by evaluating the high oscillation risk frequency band according to the first intermediate evaluation result and the second intermediate evaluation result, and evaluating the low oscillation risk frequency band according to the second intermediate evaluation result.

2. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set according to claim 1 is characterized in that: Determining the target oscillation risk frequency band of the electromagnetic transient model of the new energy generating unit includes: Obtaining a phase stability margin of the interconnected system, and determining a frequency band in which the phase stability margin is lower than a preset stability threshold as a high oscillation risk frequency band; Determining a frequency band in which the phase stability margin is higher than the preset stability threshold as a low oscillation risk frequency band; The interconnected system is a system in which the new energy generating units and the access systems of the new energy generating units are interconnected.

3. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set according to claim 2 is characterized in that: The determining of a target quantitative evaluation index corresponding to the target oscillation risk frequency band includes: If it is determined that the target oscillation risk frequency band is the high oscillation risk frequency band, determining the target quantitative evaluation index to be a numerical consistency evaluation index and a trend consistency evaluation index; If it is determined that the target oscillation risk frequency band is the low oscillation risk frequency band, then the target quantitative evaluation index is determined to be a trend consistency evaluation index.

4. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set according to claim 1 is characterized in that: Determining a first intermediate evaluation result based on a first comparison result of the impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of the impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold, includes: If it is determined that the impedance amplitude error corresponding to the first target frequency point is less than a preset impedance amplitude error threshold, and the impedance phase error corresponding to the second target frequency point is less than a preset impedance phase error threshold, then determining that the first intermediate evaluation result is an evaluation pass; If it is determined that the impedance amplitude error corresponding to the first target frequency point is greater than or equal to a preset impedance amplitude error threshold, and / or the impedance phase error corresponding to the second target frequency point is greater than or equal to a preset impedance phase error threshold, then the first intermediate evaluation result is determined to be evaluation failure.

5. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set according to claim 1 is characterized in that: Determining a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold, includes: If it is determined that the first maximum correlation coefficient is greater than a first preset correlation coefficient threshold, and the second maximum correlation coefficient is greater than a second preset correlation coefficient threshold, determining that the second intermediate evaluation result is an evaluation pass; If it is determined that the first maximum correlation coefficient is less than or equal to a first preset correlation coefficient threshold, and / or the second maximum correlation coefficient is less than or equal to a second preset correlation coefficient threshold, the second intermediate evaluation result is determined to be evaluation failure.

6. The impedance fidelity evaluation method for the electromagnetic transient model of a new energy generator set according to claim 5 is characterized in that: The step of evaluating the high oscillation risk frequency band according to the first intermediate evaluation result and the second intermediate evaluation result, and evaluating the low oscillation risk frequency band according to the second intermediate evaluation result, to obtain the impedance fidelity evaluation result, includes: If it is determined that at least one of the first intermediate evaluation result and the second intermediate evaluation result fails the evaluation, then determining that the high oscillation risk frequency band evaluation fails; If it is determined that both the first intermediate evaluation result and the second intermediate evaluation result are passed, then it is determined that the high oscillation risk frequency band evaluation has passed; If it is determined that both the high oscillation risk frequency band and the low oscillation risk frequency band are evaluated as passed, then the impedance fidelity evaluation result is determined to be evaluated as passed; If it is determined that at least one of the high oscillation risk frequency band and the low oscillation risk frequency band fails the evaluation, the impedance fidelity evaluation result is determined to be an evaluation failure.

7. An impedance fidelity assessment device for an electromagnetic transient model of a new energy generator set, characterized in that: include: a determination unit, configured to determine a target oscillation risk frequency band of an electromagnetic transient model of a new energy generating unit, and determine a target quantitative evaluation index corresponding to the target oscillation risk frequency band; An acquisition unit is configured to adjust the bandwidth value within a target bandwidth value interval corresponding to the target parameter type, and obtain the measured impedance parameters of the new energy generator set and the measured impedance parameters of the electromagnetic transient model of the new energy generator set corresponding to each frequency point during each adjustment; An evaluation unit, configured to obtain an impedance fidelity evaluation result of the electromagnetic transient model of the new energy generator set by using the target quantitative evaluation index and according to the measured impedance parameter and the measured impedance parameter during each adjustment; The measured impedance parameters include a measured impedance amplitude and a measured impedance phase, and the measured impedance parameters include a measured impedance amplitude and a measured impedance phase; accordingly, the evaluation unit is specifically configured to: Determining a first candidate frequency point corresponding to a minimum impedance amplitude error and a second candidate frequency point corresponding to a minimum impedance phase error during each adjustment; the impedance amplitude error is calculated based on the measured impedance amplitude and the measured impedance amplitude, and the impedance phase error is calculated based on the measured impedance phase and the measured impedance phase; Selecting a first candidate frequency point with a minimum impedance amplitude error from all the adjusted first candidate frequency points as a first target frequency point, and selecting a second candidate frequency point with a minimum impedance phase error from all the adjusted second candidate frequency points as a second target frequency point; Determining a first intermediate evaluation result based on a first comparison result of an impedance amplitude error corresponding to the first target frequency point and a preset impedance amplitude error threshold, and a second comparison result of an impedance phase error corresponding to the second target frequency point and a preset impedance phase error threshold; Determining a first correlation coefficient corresponding to each adjustment based on the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point during each adjustment, and determining a second correlation coefficient corresponding to each adjustment based on the measured impedance phase and the measured impedance phase corresponding to each frequency point during each adjustment; selecting a first maximum correlation coefficient from all adjusted first correlation coefficients, and selecting a second maximum correlation coefficient from all adjusted second correlation coefficients; determining a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold; The impedance fidelity evaluation result is obtained by evaluating the high oscillation risk frequency band according to the first intermediate evaluation result and the second intermediate evaluation result, and evaluating the low oscillation risk frequency band according to the second intermediate evaluation result.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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