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

By determining the target oscillation risk band and quantitative evaluation indicators in the electromagnetic transient model of new energy units, numerical adjustment and evaluation of bandwidth, the problems of incomplete and inaccurate evaluation in the existing technology are solved, and the oscillation risk assessment of all operating conditions and all frequency bands is achieved.

CN119863027AActive Publication Date: 2025-04-22ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID JIBEI ELECTRIC POWER CO LTD +1

Patent Information

Application Number
CN202411954455.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-04-22
Estimated Expiration
2044-12-27

AI Technical Summary

Technical Problem

When evaluating the impedance fidelity of the electromagnetic transient model of new energy units, it is difficult to comprehensively measure the oscillation risk in all operating conditions and all frequency bands. Due to the capabilities of the simulation platform, it is difficult to fully meet the error requirements in the range of 2.5 to 1000Hz.

Method used

A method of impedance fidelity evaluation of electromagnetic transient model of new energy units is proposed. By determining the target oscillation risk band and corresponding quantitative evaluation indicators, numerical bandwidth adjustments are performed, actual measured and measured impedance parameters are obtained, and target quantitative evaluation indicators are used for evaluation to ensure the validity and accuracy of the evaluation results.

Benefits of technology

This method can ensure the effectiveness and accuracy of the full operating conditions and full frequency band oscillation risk assessment, and improve the accuracy and comprehensiveness of the evaluation results in the prior art.

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Abstract

The invention provides an impedance fidelity evaluation method and device for an electromagnetic transient model of a new energy unit, 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; bandwidth numerical value adjustment is carried out in a target bandwidth numerical value interval corresponding to the target parameter type, and actually measured impedance parameters of the new energy unit corresponding to each frequency point and measured impedance parameters of the new energy unit electromagnetic transient model during each adjustment are obtained; and obtaining an impedance fidelity evaluation result by using the target quantitative evaluation index and according to the actually measured impedance parameter and the measured impedance parameter during each adjustment. The device executes the method. According to the method and the device provided by the embodiment of the invention, the effectiveness and the accuracy of full-working-condition and full-band oscillation risk assessment can be ensured.
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Description

Technical Field

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

[0002] As the proportion of renewable energy continues to increase, the form and operation mechanism of the power system have undergone profound changes. At present, oscillation problems in large-scale renewable energy collection systems still occur frequently, seriously affecting the safe and stable operation of the system. Broadband impedance scanning and electromagnetic transient simulation are the main means to achieve system broadband oscillation risk assessment. The accuracy and completeness of the broadband impedance characteristics of the electromagnetic transient model of the renewable energy unit will directly affect the assessment results.

[0003] The current industry standard requires that the impedance amplitude and phase error of the unit electromagnetic transient model within the range of 2.5 to 1000 Hz should not exceed ±10dB and ±10 degrees. This standard requirement has the following problems and difficulties in actual engineering applications: First, it is difficult to fully measure the fidelity of the impedance characteristics of the unit electromagnetic transient model based on the error index of a single frequency point, and it is impossible to ensure the effectiveness of the oscillation risk assessment under all operating conditions and in all frequency bands; second, due to the constraints of the simulation platform's simulation capabilities, the electromagnetic transient model is difficult to fully meet the error requirements within the wide frequency range of 2.5 to 1000 Hz. Summary of the invention

[0004] In view of 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 unit, which can at least partially solve the problems in the prior art.

[0005] On the one hand, the present invention proposes an impedance fidelity assessment method for an electromagnetic transient model of a new energy unit, 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] 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;

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

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

[0010] Acquire a phase stability margin of the interconnected system, and determine 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] Among them, the interconnection system is a system in which the new energy units and the access systems of the new energy units are interconnected.

[0013] Wherein, determining the target quantitative evaluation index 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, then 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 measured impedance amplitude and measured impedance phase, and the measured impedance parameters include measured impedance amplitude and 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 measured impedance parameters adjusted each time, including:

[0017] Determine 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 the smallest impedance amplitude error from all the adjusted first candidate frequency points as the first target frequency point, and selecting a second candidate frequency point with the smallest impedance phase error from all the adjusted second candidate frequency points as the second target frequency point;

[0019] Determine a first intermediate evaluation result according to 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] Determine the first correlation coefficient corresponding to each adjustment according to the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point at each adjustment, and determine the second correlation coefficient corresponding to each adjustment according to the measured impedance phase and the measured impedance phase corresponding to each frequency point at 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] Wherein, the first intermediate evaluation result is determined according to 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, including:

[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 between the first maximum correlation coefficient and the first preset correlation coefficient threshold value, and the fourth comparison result between the second maximum correlation coefficient and the second preset correlation coefficient threshold value, comprises:

[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, then 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, then 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, it is determined that the high oscillation risk frequency band evaluation is 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 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, then the impedance fidelity evaluation result is determined to be a failure.

[0035] On the one hand, the present invention provides an impedance fidelity assessment device for an electromagnetic transient model of a new energy unit, comprising:

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

[0037] An acquisition unit is used to adjust the bandwidth value in a 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;

[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, including: 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, used to determine a target oscillation risk frequency band of an electromagnetic transient model of a new energy unit, and to determine a target quantitative evaluation index corresponding to the target oscillation risk frequency band;

[0043] An acquisition unit is used to adjust the bandwidth value in a 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;

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

[0048] An acquisition unit is used to adjust the bandwidth value in a 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;

[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 of the electromagnetic transient model of a new energy unit provided in an embodiment of the present invention determine a target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determine a target quantitative assessment index corresponding to the target oscillation risk frequency band; adjust the bandwidth value in a 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; 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 unit, which can ensure the effectiveness and accuracy of the oscillation risk assessment under all working 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 use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0052] Figure 1 It is a flow chart of an impedance fidelity assessment method for an electromagnetic transient model of a new energy generator set provided in 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 an 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] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with 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, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other arbitrarily.

[0056] The purpose of the present invention is to propose a method for evaluating the impedance fidelity of an electromagnetic transient model of a new energy unit, so as to provide a reference for evaluating the impedance characteristics of an electromagnetic transient model of a new energy unit under different access scenarios.

[0057] First, establish a broadband impedance model of the new energy unit and the broadband impedance model of the system it is connected to; second, reveal the broadband oscillation mechanism of the new energy unit connected to the system based on the impedance stability criterion, and determine the high oscillation risk frequency band and low oscillation risk frequency band of the interconnected system under different outputs; finally, obtain the broadband impedance characteristics of the actual new energy unit, and quantitatively evaluate the numerical consistency and trend consistency between the impedance measured by the electromagnetic transient model of the new energy unit and the actual measured impedance of the new energy unit. The impedance characteristic error in the high oscillation risk frequency band must meet both the trend consistency index and the numerical consistency index, while the impedance characteristic error in the low oscillation risk frequency band only needs to meet the trend consistency index.

[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 sites, and ensure the accuracy of the electromagnetic transient model of the new energy unit for broadband oscillation risk assessment under different access scenarios.

[0059] Figure 1 FIG. 1 is a flow chart of a method for evaluating 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 unit corresponding to each frequency point and the measured impedance parameters of the electromagnetic transient model of the new energy unit at each adjustment.

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

[0063] In the above step S1, the device determines the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determines the target quantitative evaluation index corresponding to the target oscillation risk frequency band. The device can be a computer device that executes the method. Before 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 double-fed wind turbines, direct-drive wind turbines, energy storage units, photovoltaic power generation units, etc., with a frequency range of 1 to 2500Hz.

[0064] A broadband impedance model of the new energy unit access system can be established, including the establishment of a broadband impedance model 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 unit includes:

[0066] Acquire a phase stability margin of the interconnected system, and determine 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] Among them, the interconnection system is a system in which the new energy units and the access systems of the new energy units are interconnected.

[0069] Determining the preset stability threshold includes:

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

[0071] According to the wide-band 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 small 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] According to the wide-band 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 is 0.5pu), 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] According to the wide-band 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 a high oscillation risk frequency band of the system, 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.

[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, then 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 the high oscillation risk frequency band must meet both the trend consistency index and the numerical consistency index. Based on the measured impedance of the actual new energy unit, in the high oscillation risk frequency band, the impedance measured by the electromagnetic transient model of the new energy unit must meet both the trend consistency index and the numerical consistency index. In the low oscillation risk frequency band, the impedance measured by the electromagnetic transient model of the new energy unit only needs to meet the trend consistency index.

[0080] In the above step S2, the device adjusts the bandwidth value in 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 and the measured impedance parameters of the electromagnetic transient model of the new energy unit at each adjustment. 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. 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 ith 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 an explanation:

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

[0089]

[0090] Among them, x i and 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] |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 interval corresponding to the current inner loop bandwidth is 100-500 Hz, the target bandwidth value interval corresponding to the phase-locked loop bandwidth is 10-50 Hz, and the target bandwidth value interval 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 group of measured impedance amplitudes and measured impedance amplitudes are recorded, and the group includes the measured impedance amplitudes and measured impedance amplitudes of n frequency points. A group of measured impedance phases and measured impedance phases are also recorded, and the group 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 according to the measured impedance parameters and measured impedance parameters at 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 use of the target quantitative evaluation index and the measured impedance parameters and measured impedance parameters at each adjustment to obtain the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit includes:

[0100] Determine 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 the smallest impedance amplitude error from all the adjusted first candidate frequency points as the first target frequency point, and selecting a second candidate frequency point with the smallest impedance phase error from all the adjusted second candidate frequency points as the second target frequency point;

[0102] Determine a first intermediate evaluation result according to 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] Determine the first correlation coefficient corresponding to each adjustment according to the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point at each adjustment, and determine the second correlation coefficient corresponding to each adjustment according to the measured impedance phase and the measured impedance phase corresponding to each frequency point at 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] The first intermediate evaluation result is determined according to 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, including:

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

[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, then 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, then 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, it is determined that the high oscillation risk frequency band evaluation is 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 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, then the impedance fidelity evaluation result is determined to be a 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] The first correlation coefficient and the second correlation coefficient corresponding to each adjustment may be determined by referring to the calculation expression of r mentioned above.

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

[0121] The impedance fidelity assessment method of the electromagnetic transient model of a new energy unit provided in an embodiment of the present invention determines a target oscillation risk frequency band of the electromagnetic transient model of the new energy unit, and determines a target quantitative assessment index corresponding to the target oscillation risk frequency band; adjusts the bandwidth value in a 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; uses 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 unit, which can ensure the effectiveness and accuracy of the oscillation risk assessment under all working conditions and all frequency bands.

[0122] Furthermore, the step of determining the target oscillation risk frequency band of the electromagnetic transient model of the new energy generating 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 may be described with reference to the above embodiment and will not be described in detail.

[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 may be described with reference to the above embodiment and will not be described in detail.

[0125] The interconnection system is a system in which the new energy generator set and the access system of the new energy generator set are interconnected. The above-mentioned embodiments can be referred to for explanation and will not be described in detail.

[0126] Further, the determining of 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-mentioned embodiment can be referred to for description and will not be repeated here.

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

[0129] Further, the measured impedance parameter includes a measured impedance amplitude and a measured impedance phase, and the measured impedance parameter includes 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 parameter and the measured impedance parameter adjusted each time, including:

[0130] Determine a first selected frequency point corresponding to the minimum impedance amplitude error during each adjustment, and a 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-mentioned embodiment for description and no further details are given.

[0131] A 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 a 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 description 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; the above-mentioned embodiment can be referred to for description 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; the description may refer to the above embodiment and will not be repeated here.

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

[0136] 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. The above embodiment can be referred to for explanation and will not be described in detail.

[0137] Further, the first intermediate evaluation result is determined according to 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, including:

[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 an evaluation failure. The above embodiments may be referred to for explanation and will not be described in detail.

[0140] Further, 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 evaluated as passed; please refer to the above embodiment for description and no further details will be given.

[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 evaluation failure.

[0143] Further, the 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:

[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 fails the evaluation; the above-mentioned embodiment can be referred to for description 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 evaluated as passed, it is determined that the high oscillation risk frequency band evaluation is passed; the above-mentioned embodiment can be referred to for description and will not be repeated herein.

[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 as passed; the above-mentioned embodiment can be referred to for description and 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 to evaluate.

[0148] Figure 2 is a structural schematic diagram of an impedance fidelity assessment device for an electromagnetic transient model of a new energy generator set provided by an embodiment of the present invention, such as Figure 2 As shown, the impedance fidelity evaluation device of the electromagnetic transient model of the new energy unit provided by the 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 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 according to the measured impedance parameters and the measured impedance parameters at each adjustment, to obtain the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit.

[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 according to the measured impedance parameters and the measured impedance parameters at each adjustment, to obtain the impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit.

[0151] The impedance fidelity assessment device of the electromagnetic transient model of a new energy generator set provided in 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 in 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 at each adjustment and the measured impedance parameters of the electromagnetic transient model of the new energy generator set; uses 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, which can ensure the effectiveness and accuracy of the oscillation risk assessment under all working conditions and all frequency bands.

[0152] The embodiment of the present invention provides an embodiment of an impedance fidelity assessment device for an 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 (processor) 301, a memory (memory) 302 and a bus 303;

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

[0155] The processor 301 is used 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] 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;

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

[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 by the above 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] 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;

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

[0163] This embodiment provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables the computer to execute the methods provided by 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] 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;

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

[0167] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, 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 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 flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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 flowchart and / or block diagram. 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 capable of directing a computer or other programmable data processing device to operate 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 A 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 operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions 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] In the description of this specification, the description with reference to the terms "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, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[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 unit, 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; 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 impedance fidelity evaluation result of the electromagnetic transient model of the new energy unit is obtained by utilizing the target quantitative evaluation index and according to the measured impedance parameter and the measured impedance parameter during each adjustment.

2. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy unit according to claim 1 is characterized in that: Determining the target oscillation risk frequency band of the electromagnetic transient model of the new energy unit includes: Acquire a phase stability margin of the interconnected system, and determine 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; Among them, the interconnection system is a system in which the new energy units and the access systems of the new energy units are interconnected.

3. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy unit 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, then 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 3 is characterized in that: The measured impedance parameters include measured impedance amplitude and measured impedance phase, and the measured impedance parameters include measured impedance amplitude and 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 measured impedance parameters adjusted each time, including: Determine 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 the smallest impedance amplitude error from all the adjusted first candidate frequency points as the first target frequency point, and selecting a second candidate frequency point with the smallest impedance phase error from all the adjusted second candidate frequency points as the second target frequency point; Determine a first intermediate evaluation result according to 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; Determine a first correlation coefficient corresponding to each adjustment according to the measured impedance amplitude and the measured impedance amplitude corresponding to each frequency point at each adjustment, and determine a second correlation coefficient corresponding to each adjustment according to the measured impedance phase and the measured impedance phase corresponding to each frequency point at 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 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.

5. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set according to claim 4 is characterized in that: The first intermediate evaluation result is determined according to 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, including: 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.

6. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set according to claim 4 is characterized in that: The determining of a second intermediate evaluation result according to a third comparison result of the first maximum correlation coefficient and a first preset correlation coefficient threshold value, and a fourth comparison result of the second maximum correlation coefficient and a second preset correlation coefficient threshold value, comprises: 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, then 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, then the second intermediate evaluation result is determined to be evaluation failure.

7. The impedance fidelity evaluation method of the electromagnetic transient model of a new energy generator set according to claim 6 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, it is determined that the high oscillation risk frequency band evaluation is 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 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, then the impedance fidelity evaluation result is determined to be a failure.

8. An impedance fidelity assessment device for an electromagnetic transient model of a new energy unit, characterized in that: include: A determination unit, used to determine a target oscillation risk frequency band of an electromagnetic transient model of a new energy unit, and to determine a target quantitative evaluation index corresponding to the target oscillation risk frequency band; An acquisition unit is used to adjust the bandwidth value in a 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; 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.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. 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 7 are implemented.

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