Method and device for correcting parameters of electromagnetic transient simulation model of wind power plant station, terminal equipment and storage medium

Abstract

The invention discloses a wind power plant electromagnetic transient simulation model parameter correction method and device, terminal equipment and a storage medium, and belongs to the field of power system simulation. The method comprises the following steps: acquiring transient simulation electrical parameters of a to-be-corrected wind power plant station in a preset time period; respectively constructing an electrical parameter time sequence according to the transient simulation electrical parameters and a preset time interval; calculating according to the electrical parameter time sequence to obtain an influence factor of the transient simulation electrical parameter at each moment on the next moment; according to the electrical parameter time sequence and the influence factor, predicting to obtain a transient simulation electrical parameter prediction value at the target prediction moment; calculating a transient parameter deviation index according to the transient simulation electrical parameter predicted value; and when the transient parameter deviation index is greater than or equal to a preset first judgment threshold value, correcting transient simulation electrical parameters of the electromagnetic transient simulation model according to a preset proportion. By implementing the method, the problem that all operation conditions of the wind power plant cannot be covered in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system simulation, and in particular to a method, device, terminal equipment and storage medium for correcting parameters of an electromagnetic transient simulation model of a wind farm. Background Art

[0002] As the global energy structure transitions toward green and low-carbon development, the scale and complexity of wind farms continue to rise, and accurate simulation of their electromagnetic transient processes is becoming increasingly critical to ensuring the safe operation of power systems. Electromagnetic transient phenomena refer to transient processes in power systems caused by transient events such as faults, in which electromagnetic quantities change rapidly over time. During wind farm operation, electromagnetic transient phenomena in scenarios such as grid faults and sudden changes in meteorological conditions involve rapidly changing voltage and current characteristics and complex electromagnetic interactions, requiring high-precision simulation models to support analysis. The dynamic correction of wind farm electromagnetic transient simulation models is mainly aimed at more accurately simulating wind farm electromagnetic transient processes, improving the fit between simulation models and actual operations, and thereby facilitating the stable and efficient operation of wind farms.

[0003] Currently, wind farm electromagnetic transient simulation models primarily consist of simplified device-level models. While these models capture the characteristics of individual devices, they struggle to reflect the overall dynamic behavior of the wind farm. They also exhibit biased analysis of electromagnetic transient processes and fail to cover all wind farm operating conditions, leading to operational deviations. Summary of the Invention

[0004] The embodiments of the present invention provide a method, apparatus, terminal device and storage medium for correcting parameters of an electromagnetic transient simulation model of a wind farm station, which can effectively solve the problem that the existing technology cannot cover all operating conditions of a wind farm, resulting in deviations in wind farm operation.

[0005] An embodiment of the present invention provides a method for correcting parameters of an electromagnetic transient simulation model of a wind farm, comprising:

[0006] Obtaining transient simulation electrical parameters of the electromagnetic transient simulation model of the wind farm to be corrected within a preset time period; wherein the transient simulation electrical parameters include equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power;

[0007] According to the transient simulation electrical parameters and the preset time interval, electrical parameter time series are respectively constructed; wherein the electrical parameter time series include: equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series and export power time series;

[0008] Calculate the influence factor of the transient simulation electrical parameters at each moment on the transient simulation electrical parameters at the next moment based on the equivalent impedance time series, the equivalent potential time series, the power consumption time series, and the export power time series;

[0009] Predicting each transient simulation electrical parameter at a target prediction moment based on the electrical parameter time series and the influencing factors to obtain a transient simulation electrical parameter prediction value;

[0010] Calculating a transient parameter deviation index based on the transient simulation electrical parameter prediction value;

[0011] A comparison is performed based on the transient parameter deviation index and a preset first judgment threshold. When the transient parameter deviation index is greater than or equal to the preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio.

[0012] Furthermore, according to the transient simulation electrical parameters and the preset time interval, several electrical parameter time series are constructed respectively, including:

[0013] According to a preset time interval, each transient simulation electrical parameter within the preset time period is divided into a plurality of segments, and an electrical parameter time subsequence at a plurality of moments of each transient simulation electrical parameter is obtained;

[0014] The electrical parameter time subsequences at each moment of each transient simulation electrical parameter are spliced ​​in chronological order to construct the electrical parameter time series of each transient simulation electrical parameter.

[0015] Furthermore, the impact factor is calculated using the following formula:

[0016]

[0017] in, For the T z The influence factor of the transient simulation electrical parameters at the moment on the transient simulation electrical parameters at the next moment; Z GT,min It is the minimum value of the equal impedance time series within the preset time period; For the T z The value of the time series of equivalent impedance at the moment; For the T z The value of the time series of equivalent potential at the moment E GB,max is the maximum value of the equal potential time series within the preset time period; C,min The minimum value of the power consumption time series within the preset time period; T z The value of the time series of electric power consumption at each moment; Tz The value of the export power time series at the moment; P F,max It is the maximum value of the export power time series within the preset time period.

[0018] Furthermore, each transient simulation electrical parameter at the target prediction moment is predicted based on the electrical parameter time series and the influencing factor to obtain a transient simulation electrical parameter prediction value, including:

[0019] Constructing an electrical parameter time series matrix according to the electrical parameter time series;

[0020] Constructing an impact factor matrix according to the impact factors and the number of preset time intervals within the preset time period;

[0021] According to the electrical parameter time series matrix and the influencing factor matrix, the transient simulation electrical parameter prediction value of each transient simulation electrical parameter prediction value at the target preset time is calculated.

[0022] Furthermore, the transient simulation electrical parameter prediction values ​​include: equivalent impedance prediction value, equivalent capacitance prediction value, equivalent potential prediction value, grid connection point voltage phase angle prediction value, power consumption prediction value and wind turbine export power prediction value;

[0023] The transient parameter deviation index is calculated using the following formula:

[0024]

[0025] in, is the transient parameter deviation index; is the normalized value of the equivalent impedance prediction value; is the normalized value of the predicted value of equal capacitance; is the normalized value of the predicted value of the equivalent potential; is the normalized value of the predicted voltage phase angle at the grid connection point; is the normalized value of the predicted power consumption; is the normalized value of the wind turbine export power forecast.

[0026] Furthermore, the preset ratio includes: a first ratio for characterizing a reduction in equivalent impedance and equivalent capacitance, a second ratio for characterizing a reduction in equivalent potential, and a third ratio for characterizing a reduction in equivalent impedance and equivalent capacitance; the third ratio is greater than the first ratio;

[0027] When the transient parameter deviation index is greater than or equal to a preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio, including:

[0028] When the transient parameter deviation index is greater than or equal to a preset first judgment threshold, determining whether the transient parameter deviation index is less than a preset second judgment threshold;

[0029] If so, keep the equivalent potential in the transient simulation electrical parameters unchanged, and reduce the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters according to the first ratio;

[0030] If not, reducing the equivalent potential in the transient simulation electrical parameters by a second ratio, and reducing the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters by a third ratio;

[0031] The preset second judgment threshold is greater than the preset first judgment threshold.

[0032] Furthermore, the method further includes: when the transient parameter deviation index is less than a preset judgment threshold, keeping the transient simulation electrical parameters of the electromagnetic transient simulation model unchanged.

[0033] As an improvement to the above solution, another embodiment of the present invention provides a wind farm electromagnetic transient simulation model parameter correction device, comprising:

[0034] A transient parameter acquisition module is used to obtain transient simulation electrical parameters of the electromagnetic transient simulation model of the wind farm to be corrected within a preset time period; wherein the transient simulation electrical parameters include equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power;

[0035] A time series construction module is used to construct electrical parameter time series according to the transient simulation electrical parameters and preset time intervals; wherein the electrical parameter time series includes: equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series, and export power time series;

[0036] An influence factor calculation module, configured to calculate an influence factor of a transient simulation electrical parameter at each moment on a transient simulation electrical parameter at the next moment based on the equivalent impedance time series, the equivalent potential time series, the power consumption time series, and the export power time series;

[0037] A transient parameter prediction value generation module is used to predict each transient simulation electrical parameter at a target prediction moment based on the electrical parameter time series and the influencing factors to obtain a transient simulation electrical parameter prediction value;

[0038] A transient parameter deviation index calculation module is used to calculate the transient parameter deviation index based on the transient simulation electrical parameter prediction value;

[0039] The transient model correction module is used to compare the transient parameter deviation index with a preset first judgment threshold. When the transient parameter deviation index is greater than or equal to the preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio.

[0040] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for correcting parameters of an electromagnetic transient simulation model of a wind farm station as described in the above embodiment.

[0041] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for correcting parameters of the electromagnetic transient simulation model of a wind farm station described in the above embodiment.

[0042] By implementing the present invention, at least the following beneficial effects are achieved:

[0043] The present invention provides a method, device, terminal device, and storage medium for correcting parameters in an electromagnetic transient simulation model for a wind farm. The method can obtain transient simulation electrical parameters such as equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power, and construct a time series of electrical parameters to comprehensively capture the electromagnetic dynamic characteristics of the wind farm to be corrected under different operating conditions. Compared with single-device modeling, this method greatly improves the adaptability of the electromagnetic transient simulation model constructed from multiple devices in the wind farm to be corrected to complex operating conditions. Influence factors are then calculated based on the time series, and transient simulation electrical parameter prediction values ​​are predicted based on the influence factors. The dynamic coupling relationship between transient simulation electrical parameters is explored, enabling the electromagnetic transient simulation model to predict future operating conditions, thus compensating for the defect that static models cannot reflect changes in operating conditions. Finally, by comparing the calculated transient parameter deviation index with the preset first judgment threshold, the dynamic correction of the parameters is triggered to ensure that the transient simulation electrical parameters of the electromagnetic transient simulation model are updated in real time with the actual operating conditions, significantly reducing the deviation between the simulation model and the actual operating state, and enhancing the electromagnetic transient simulation model's coverage of all operating conditions, providing an analytical basis for the stable operation of the wind farm to be corrected. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flow chart of a method for correcting parameters of an electromagnetic transient simulation model of a wind farm provided by one embodiment of the present invention;

[0045] Figure 2The present invention is a schematic structural diagram of a wind farm electromagnetic transient simulation model parameter correction device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0047] See also Figure 1 To address the problem that the prior art cannot cover all operating conditions of a wind farm, resulting in deviations in wind farm operation, an embodiment of the present invention provides a flow chart of a method for correcting parameters of an electromagnetic transient simulation model of a wind farm, including:

[0048] S1. Obtaining transient simulation electrical parameters of an electromagnetic transient simulation model of a wind farm to be corrected within a preset time period; wherein the transient simulation electrical parameters include equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power;

[0049] Specifically, the electromagnetic transient simulation model is used to mathematically simulate the temporal evolution of electromagnetic quantities (such as voltage and current) at the wind farm under transient events. This model can be used to analyze the electromagnetic characteristics of the wind farm under different operating conditions, providing a reference for system design and operation. Transient simulation electrical parameters describe the key electrical parameters of the wind farm's electromagnetic transient processes, including equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power. These parameters reflect the electromagnetic characteristics and energy exchange of the wind farm during transient processes. Equivalent impedance means that the complex circuit structure of the wind farm to be corrected is equivalent to an impedance value, which is used to simplify circuit analysis and reflect the obstruction of the wind farm to be corrected to the current; equivalent capacitance means the equivalence of the distributed capacitance in the wind farm, reflecting the energy storage characteristics of the electric field; equivalent potential means that the wind farm to be corrected is equivalent to the electromotive force of a power source, characterizing the power output capacity of the wind farm to be corrected; the grid connection point voltage phase angle means the voltage phase angle at the connection point between the wind farm to be corrected and the power grid, which is used to analyze the synchronization and stability of the power system; the electric power consumed by the internal equipment of the wind farm to be corrected; the wind turbine export power means the power transmitted by the wind turbine to the outside, including active power and reactive power.

[0050] In a preferred embodiment of the present invention, a preset time period Tz is selected, and the equivalent impedance is The equivalent capacitance is The equivalent potential is The grid connection point voltage phase angle is The power consumption is The wind turbine output power is The values ​​of the above parameters within a preset time period are obtained through monitoring equipment and simulation calculations.

[0051] S2. Construct electrical parameter time series according to the transient simulation electrical parameters and the preset time intervals; wherein the electrical parameter time series include: equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series, and export power time series;

[0052] Specifically, the electrical parameter time series represents a set of transient simulation electrical parameters arranged in chronological order, and is used to reflect the changing pattern of the parameters over time.

[0053] Preferably, according to the transient simulation electrical parameters and the preset time interval, a plurality of electrical parameter time series are constructed respectively, including:

[0054] According to a preset time interval, each transient simulation electrical parameter within the preset time period is divided into a plurality of segments, and an electrical parameter time subsequence at a plurality of moments of each transient simulation electrical parameter is obtained;

[0055] The electrical parameter time subsequences at each moment of each transient simulation electrical parameter are spliced ​​in chronological order to construct the electrical parameter time series of each transient simulation electrical parameter.

[0056] In a preferred embodiment of the present invention, T is selected as a preset time interval, and n fixed time intervals T1, T2, ..., T are obtained within the preset time period. z ,...,T n Each transient simulation electrical parameter within a preset time period is divided into several segments to obtain the electrical parameter time subsequences of each transient simulation electrical parameter at several moments. Then, the electrical parameter time subsequences of each transient simulation electrical parameter at each moment are spliced ​​in chronological order to construct the electrical parameter time series of each transient simulation electrical parameter:

[0057]

[0058] They are equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series and export power time series Z. They are T1, T2...T z ...T n The equivalent impedance time subseries at the moment; C They are T1, T2...Tz ...T n The equivalent capacitance time subsequence at the moment; They are T1, T2...T z ...T n The equivalent potential time subsequence at the moment; They are T1, T2...T z ...T n The voltage phase angle time series subsequence at the moment; They are T1, T2...T z ...T n The time series subsequence of electric power consumption at the moment; They are T1, T2...T z ...T n The export power time subseries at the moment.

[0059] In a preferred embodiment of the present invention, the preset time interval is 0.5h and the preset time period is 2h, that is, the transient simulation electrical parameters at 5 moments T1, T2, T3, T4, and T5 can be selected as the electrical parameter time subsequence. The equivalent impedance time series is obtained as The time series of equivalent capacitance is The equivalent potential time series is The voltage phase angle time series is The time series of electric power consumption is The export power time series is The electrical parameter time series is:

[0060] It clarifies the construction method of time series, making the generation of time series more standardized and operational, providing an accurate data basis for subsequent analysis and prediction based on time series, and helping to improve the accuracy of parameter prediction and correction.

[0061] S3. Calculate the influence factor of the transient simulation electrical parameters at each moment on the transient simulation electrical parameters at the next moment based on the equivalent impedance time series, the equivalent potential time series, the power consumption time series, and the export power time series;

[0062] Specifically, the impact factor represents a numerical value that measures the degree of influence of the transient simulation electrical parameters at each moment on the parameters at the next moment. It can reflect the dynamic correlation between parameters and is used to predict future changes in parameters.

[0063] Preferably, the impact factor is calculated by the following formula:

[0064]

[0065] in, For the T z The influence factor of the transient simulation electrical parameters at the moment on the transient simulation electrical parameters at the next moment; Z GT,min It is the minimum value of the equal impedance time series within the preset time period; For the T z The value of the time series of equivalent impedance at the moment; For the T z The value of the time series of equivalent potential at the moment E GB,max is the maximum value of the equivalent potential time series within the preset time period; P C,min The minimum value of the power consumption time series within the preset time period; T z The value of the time series of electric power consumption at each moment; T z The value of the export power time series at the moment; P F,max It is the maximum value of the export power time series within the preset time period.

[0066] In a preferred embodiment of the present invention, Z GT,min is the equivalent impedance time series at T1, T2, ..., T z ,...,T n The minimum value of these n fixed time intervals; E GB,max is the equivalent potential time series at T1, T2, ..., T z ,...,T n The maximum value of these n fixed time intervals; P C,min is the time series of power consumption at T1, T2, ..., T z ,...,T n The minimum value of these n fixed time intervals; P F,max is the export power time series at T1, T2, ..., T z ,...,T n The maximum value of the measured values ​​at these n fixed time intervals.

[0067] In a preferred embodiment of the present invention, the influence factor of the transient simulation electrical parameters on the transient simulation electrical parameters at the next moment can be calculated as follows:

[0068] By calculating the impact factors based on the changes in multiple time series, the dynamic correlation between transient simulation electrical parameters can be more comprehensively reflected, providing strong support for the accurate prediction of transient simulation electrical parameters.

[0069] S4. Predicting each transient simulation electrical parameter at the target prediction moment according to the electrical parameter time series and the influencing factor to obtain a transient simulation electrical parameter prediction value;

[0070] Preferably, predicting each transient simulation electrical parameter at the target prediction moment according to the electrical parameter time series and the influencing factor to obtain a transient simulation electrical parameter prediction value includes:

[0071] Constructing an electrical parameter time series matrix according to the electrical parameter time series;

[0072] Constructing an impact factor matrix according to the impact factors and the number of preset time intervals within the preset time period;

[0073] According to the electrical parameter time series matrix and the influencing factor matrix, the transient simulation electrical parameter prediction value of each transient simulation electrical parameter prediction value at the target preset time is calculated.

[0074] In a preferred embodiment of the present invention, the transient simulation electrical parameter prediction value is calculated using the following formula:

[0075]

[0076] in, T n+1 Equivalent impedance prediction value at each moment; T n+1 The predicted value of capacitance at the same time; T n+1 Predicted value of equivalent electric potential at the moment; T n+1 Predicted value of voltage phase angle at grid connection point at any moment; T n+1 Predicted value of electric power consumption at each moment; T n+1 The predicted value of wind turbine export power at the moment.

[0077] In a preferred embodiment of the present invention, the predicted value of the transient simulation electrical parameter at time T6 is:

[0078]

[0079] in, is the predicted value of equivalent impedance at time T6; is the predicted value of equivalent capacitance at time T6; is the predicted value of the equivalent potential at time T6; is the predicted value of the grid connection point voltage phase angle at time T6; The predicted value of electric power consumption at time T6; is the predicted value of wind turbine export power at time T6.

[0080] Based on the electrical parameter time series matrix and the influencing factor matrix, mathematical operations are performed to calculate the transient simulation electrical parameter prediction value at the target preset time. For example, through operations such as matrix multiplication, the parameter value at a specific time in the future is predicted by combining historical parameter change trends and influencing factors. This matrix operation improves the efficiency and accuracy of parameter prediction, provides reliable prediction results for subsequent parameter correction based on the predicted values, and enables the simulation model to better adapt to changes in the wind farm's operating conditions.

[0081] S5. Calculating a transient parameter deviation index based on the transient simulation electrical parameter prediction value;

[0082] Specifically, the transient parameter deviation index represents a value obtained by calculating the predicted value of the transient simulation electrical parameter, which is used to evaluate the degree of deviation between the predicted value and the actual value and serves as a basis for parameter correction.

[0083] Preferably, the transient simulation electrical parameter prediction values ​​include: equivalent impedance prediction value, equivalent capacitance prediction value, equivalent potential prediction value, grid connection point voltage phase angle prediction value, power consumption prediction value and wind turbine export power prediction value;

[0084] The transient parameter deviation index is calculated using the following formula:

[0085]

[0086] in, is the transient parameter deviation index; is the normalized value of the equivalent impedance prediction value; is the normalized value of the predicted value of equal capacitance; is the normalized value of the predicted value of the equivalent potential; is the normalized value of the predicted voltage phase angle at the grid connection point; is the normalized value of the predicted power consumption; is the normalized value of the wind turbine export power forecast.

[0087] In a preferred embodiment of the present invention, the equivalent impedance prediction value, equivalent capacitance prediction value, equivalent potential prediction value, grid connection point voltage phase angle prediction value, power consumption prediction value, and wind turbine export power prediction value are first normalized. The normalization is performed using the following formula:

[0088]

[0089] in, is the normalized value of the equivalent impedance prediction value; is the normalized value of the predicted value of equal capacitance; is the normalized value of the predicted value of the equivalent potential; is the normalized value of the predicted voltage phase angle at the grid connection point; is the normalized value of the predicted power consumption; is the normalized value of the wind turbine export power forecast.

[0090] Then according to the formula

[0091]

[0092] Calculate the transient parameter deviation index

[0093] In a preferred embodiment of the present invention, the transient simulation electrical parameter prediction value at time T6 is normalized as follows:

[0094]

[0095] in, is the normalized value of the equivalent impedance prediction value at time T6; is the normalized value of the predicted value of equivalent capacitance at time T6; is the normalized value of the predicted equivalent potential at time T6; is the normalized value of the grid connection point voltage phase angle prediction value at time T6; The normalized value of the predicted power consumption at time T6; It is the normalized value of the wind turbine export power forecast value at time T6.

[0096] Then the transient parameter deviation index at time T6 is calculated by the formula for:

[0097]

[0098] By integrating the deviations of multiple predicted values, the degree of deviation between the predicted results and the actual situation can be comprehensively and accurately evaluated, providing a quantitative basis for judging whether the electromagnetic transient simulation model parameters need to be corrected, thereby improving the scientificity and accuracy of parameter correction decisions.

[0099] S6. Compare the transient parameter deviation index with a preset first judgment threshold value, and when the transient parameter deviation index is greater than or equal to the preset first judgment threshold value, correct the transient simulation electrical parameters of the electromagnetic transient simulation model according to a preset ratio.

[0100] Preferably, the preset ratio includes: a first ratio for characterizing a reduction in equivalent impedance and equivalent capacitance, a second ratio for characterizing a reduction in equivalent potential, and a third ratio for characterizing a reduction in equivalent impedance and equivalent capacitance; the third ratio is greater than the first ratio;

[0101] When the transient parameter deviation index is greater than or equal to a preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio, including:

[0102] When the transient parameter deviation index is greater than or equal to a preset first judgment threshold, determining whether the transient parameter deviation index is less than a preset second judgment threshold;

[0103] If so, keep the equivalent potential in the transient simulation electrical parameters unchanged, and reduce the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters according to the first ratio;

[0104] If not, reducing the equivalent potential in the transient simulation electrical parameters by a second ratio, and reducing the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters by a third ratio;

[0105] The preset second judgment threshold is greater than the preset first judgment threshold.

[0106] Specifically, the first judgment threshold is preset to 0.79, the second judgment threshold is preset to 0.85, the first ratio is 12%, the second ratio is 5%, and the third ratio is 18%.

[0107] In a preferred embodiment of the present invention, the transient parameter deviation index If the value is greater than or equal to the preset first judgment threshold value of 0.79, it is determined whether the transient parameter deviation index is less than the preset second judgment threshold value of 0.85. If it is less than, it means Keep the equivalent potential in the transient simulation electrical parameters unchanged, and reduce the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters by the first ratio of 12%, that is, the equivalent impedance and equivalent capacitance are reduced by 12%. If it is greater than or equal to, it means The equivalent potential in the transient simulation electrical parameters is reduced by a second ratio, and the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters are reduced by a third ratio, that is, the equivalent potential is reduced by 5%, and the equivalent impedance and equivalent capacitance are both reduced by 18%.

[0108] In a preferred embodiment of the present invention, electromagnetic transient simulation is performed on a wind farm based on the corrected transient simulation electrical parameters to ensure that the simulation results are closer to the actual operating state of the wind farm and accurately reproduce the voltage and current variation characteristics under transient events such as grid faults, wind turbine start-up and shutdown, and lightning overvoltage, providing a reliable basis for optimizing the configuration of relay protection devices, adjusting wind turbine control strategies, and analyzing grid stability. Using different correction ratios based on the degree of deviation makes parameter correction more flexible and reasonable, can more effectively reduce the deviation between the simulation model and the actual operating state, improve the accuracy and adaptability of the simulation model, and avoid the impact of excessive correction on model stability.

[0109] In a preferred embodiment of the present invention, the method further includes maintaining the transient simulation electrical parameters of the electromagnetic transient simulation model unchanged when the transient parameter deviation index is less than a preset judgment threshold. This indicates that when the deviation between the predicted value and the actual value is small, no model parameter adjustment is required, thereby maintaining model stability. This avoids unnecessary parameter correction operations, ensures model stability when accurate predictions are made, reduces computational complexity and processing resource consumption, and improves the efficiency and practicality of the entire parameter correction method.

[0110] The equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power are monitored in real time and the predicted values ​​of the parameters at the next moment are predicted. The transient simulation electrical parameter predicted values ​​are calculated based on the obtained transient simulation electrical parameters and the predicted values ​​of the parameters at the next moment. The transient simulation electrical parameters are adjusted in real time based on the calculation results to ensure that the wind farm can use reasonable electromagnetic transient equivalent parameters for optimized operation. Compared with the existing technology, the method of this embodiment can accurately determine the predicted values ​​of the transient simulation electrical parameters at the next moment for the problem that the electromagnetic transient simulation electrical parameters of the wind farm cannot be met, and then consider the transient parameter deviation index to ensure that the wind farm can use a reasonable transient parameter deviation index for optimized operation.

[0111] By implementing this embodiment, transient simulation electrical parameters such as equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power are obtained, and a time series of electrical parameters is constructed to comprehensively capture the electromagnetic dynamic characteristics of the wind farm station to be corrected under different operating conditions. Compared with single device modeling, the adaptability of the electromagnetic transient simulation model constructed by multiple devices in the wind farm station to be corrected to complex operating conditions is greatly improved. Then, based on the time series, the impact factors are calculated, and the predicted values ​​of the transient simulation electrical parameters are predicted based on the impact factors. The dynamic coupling relationship between the transient simulation electrical parameters is mined, so that the electromagnetic transient simulation model has the ability to predict future operating conditions, which makes up for the defect that the static model cannot reflect the change of operating state. Finally, by comparing the calculated transient parameter deviation index with the preset first judgment threshold, the dynamic correction of the parameters is triggered, ensuring that the transient simulation electrical parameters of the electromagnetic transient simulation model are updated in real time with the actual operating conditions, significantly reducing the deviation between the simulation model and the actual operating state, enhancing the electromagnetic transient simulation model's coverage of all operating conditions, and providing an analytical basis for the stable operation of the wind farm station to be corrected.

[0112] See also Figure 2 , is a schematic structural diagram of a wind farm electromagnetic transient simulation model parameter correction device provided by one embodiment of the present invention, comprising:

[0113] A transient parameter acquisition module is used to obtain transient simulation electrical parameters of the electromagnetic transient simulation model of the wind farm to be corrected within a preset time period; wherein the transient simulation electrical parameters include equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power;

[0114] A time series construction module is used to construct electrical parameter time series according to the transient simulation electrical parameters and preset time intervals; wherein the electrical parameter time series includes: equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series, and export power time series;

[0115] An influence factor calculation module, configured to calculate an influence factor of a transient simulation electrical parameter at each moment on a transient simulation electrical parameter at the next moment based on the equivalent impedance time series, the equivalent potential time series, the power consumption time series, and the export power time series;

[0116] A transient parameter prediction value generation module is used to predict each transient simulation electrical parameter at a target prediction moment based on the electrical parameter time series and the influencing factors to obtain a transient simulation electrical parameter prediction value;

[0117] A transient parameter deviation index calculation module is used to calculate the transient parameter deviation index based on the transient simulation electrical parameter prediction value;

[0118] The transient model correction module is used to compare the transient parameter deviation index with a preset first judgment threshold. When the transient parameter deviation index is greater than or equal to the preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio.

[0119] The present invention provides a wind farm station electromagnetic transient simulation model parameter correction device, which obtains the transient simulation electrical parameters of the electromagnetic transient simulation model of the wind farm station to be corrected within a preset time period according to the transient parameter acquisition module; wherein the transient simulation electrical parameters include equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption and wind turbine export power; in the time series construction module, according to the transient simulation electrical parameters and the preset time interval, respectively construct electrical parameter time series; wherein the electrical parameter time series includes: equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series and export power time series; in the impact factor calculation module, according to the equivalent impedance time series, the equivalent potential time series , the power consumption time series and the export power time series are used to calculate the influence factor of the transient simulation electrical parameters at each moment on the transient simulation electrical parameters at the next moment; in the transient parameter prediction value generation module, each transient simulation electrical parameter at the target prediction moment is predicted according to the electrical parameter time series and the influence factor to obtain the transient simulation electrical parameter prediction value; then in the transient parameter deviation index calculation module, the transient parameter deviation index is calculated according to the transient simulation electrical parameter prediction value; finally, in the transient model correction module, the transient parameter deviation index and the preset first judgment threshold are compared, and when the transient parameter deviation index is greater than or equal to the preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to the preset ratio.

[0120] By acquiring transient electrical parameters such as equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power, and constructing a time series of these parameters, the electromagnetic dynamic characteristics of the wind farm under modification are comprehensively captured under different operating conditions. Compared to single-device modeling, this significantly improves the adaptability of the electromagnetic transient simulation model, constructed from multiple devices in the wind farm under modification, to complex operating conditions. Influencing factors are then calculated based on the time series, and transient electrical parameter predictions are predicted based on these factors. The dynamic coupling relationships between transient electrical parameters are explored, enabling the electromagnetic transient simulation model to predict future operating conditions and addressing the inherent limitations of static models in reflecting operational state changes. Finally, the calculated transient parameter deviation index is compared with a preset first judgment threshold to trigger dynamic parameter correction. This ensures that the electromagnetic transient simulation model's transient electrical parameters are updated in real time with actual operating conditions, significantly reducing the deviation between the simulation model and the actual operating state. This enhances the electromagnetic transient simulation model's ability to cover all operating conditions and provides an analytical basis for the stable operation of the wind farm under modification.

[0121] It should be noted that the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed across multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. In addition, in the drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement the present invention without inventive effort.

[0122] Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0123] Another embodiment of the present invention provides a terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the wind farm electromagnetic transient simulation model parameter correction method described in the above embodiment. The terminal device can be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal device can include, but is not limited to, a processor and a memory.

[0124] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device using various interfaces and lines.

[0125] The memory can be used to store the computer program, and the processor implements various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created based on the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory and can also include a non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device or other volatile solid-state storage device.

[0126] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for correcting parameters of the electromagnetic transient simulation model of a wind farm station described in the above embodiment.

[0127] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. The computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0128] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for correcting parameters of an electromagnetic transient simulation model of a wind farm, characterized in that: include: Obtaining transient simulation electrical parameters of the electromagnetic transient simulation model of the wind farm to be corrected within a preset time period; wherein the transient simulation electrical parameters include equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power; According to the transient simulation electrical parameters and the preset time interval, electrical parameter time series are respectively constructed; wherein the electrical parameter time series include: equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series and export power time series; Calculate the influence factor of the transient simulation electrical parameters at each moment on the transient simulation electrical parameters at the next moment based on the equivalent impedance time series, the equivalent potential time series, the power consumption time series, and the export power time series; Predicting each transient simulation electrical parameter at a target prediction moment based on the electrical parameter time series and the influencing factors to obtain a transient simulation electrical parameter prediction value; Calculating a transient parameter deviation index based on the transient simulation electrical parameter prediction value; A comparison is performed based on the transient parameter deviation index and a preset first judgment threshold. When the transient parameter deviation index is greater than or equal to the preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio.

2. A wind farm electromagnetic transient simulation model parameter correction method according to claim 1, characterized in that: According to the transient simulation electrical parameters and the preset time interval, several electrical parameter time series are constructed respectively, including: According to a preset time interval, each transient simulation electrical parameter within the preset time period is divided into a plurality of segments, and an electrical parameter time subsequence at a plurality of moments of each transient simulation electrical parameter is obtained; The electrical parameter time subsequences at each moment of each transient simulation electrical parameter are spliced ​​in chronological order to construct the electrical parameter time series of each transient simulation electrical parameter.

3. The method for correcting parameters of a wind farm electromagnetic transient simulation model according to claim 1, characterized in that: The impact factor is calculated using the following formula: in, For the T z The influence factor of the transient simulation electrical parameters at the moment on the transient simulation electrical parameters at the next moment; Z GT,min It is the minimum value of the equal impedance time series within the preset time period; For the T z The value of the time series of equivalent impedance at the moment; For the T z The value of the time series of equivalent potential at the moment E GB,max is the maximum value of the equal potential time series within the preset time period; C,min The minimum value of the power consumption time series within the preset time period; T z The value of the time series of electric power consumption at each moment; T z The value of the export power time series at the moment; P F,max It is the maximum value of the export power time series within the preset time period.

4. The method for correcting parameters of a wind farm electromagnetic transient simulation model according to claim 1, wherein: Predicting each transient simulation electrical parameter at a target prediction moment based on the electrical parameter time series and the influencing factors to obtain a transient simulation electrical parameter prediction value includes: Constructing an electrical parameter time series matrix according to the electrical parameter time series; Constructing an impact factor matrix according to the impact factors and the number of preset time intervals within the preset time period; According to the electrical parameter time series matrix and the influencing factor matrix, the transient simulation electrical parameter prediction value of each transient simulation electrical parameter prediction value at the target preset time is calculated.

5. The method for correcting parameters of a wind farm electromagnetic transient simulation model according to claim 1, wherein: The transient simulation electrical parameter prediction values ​​include: equivalent impedance prediction value, equivalent capacitance prediction value, equivalent potential prediction value, grid connection point voltage phase angle prediction value, power consumption prediction value and wind turbine export power prediction value; The transient parameter deviation index is calculated using the following formula: in, is the transient parameter deviation index; is the normalized value of the equivalent impedance prediction value; is the normalized value of the predicted value of equal capacitance; is the normalized value of the predicted value of the equivalent potential; is the normalized value of the predicted voltage phase angle at the grid connection point; is the normalized value of the predicted power consumption; is the normalized value of the wind turbine export power forecast.

6. The method for correcting parameters of a wind farm electromagnetic transient simulation model according to claim 1, characterized in that: The preset ratio includes: a first ratio for characterizing a reduction in equivalent impedance and equivalent capacitance, a second ratio for characterizing a reduction in equivalent potential, and a third ratio for characterizing a reduction in equivalent impedance and equivalent capacitance; the third ratio is greater than the first ratio; When the transient parameter deviation index is greater than or equal to a preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio, including: When the transient parameter deviation index is greater than or equal to a preset first judgment threshold, determining whether the transient parameter deviation index is less than a preset second judgment threshold; If so, keep the equivalent potential in the transient simulation electrical parameters unchanged, and reduce the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters according to the first ratio; If not, reducing the equivalent potential in the transient simulation electrical parameters by a second ratio, and reducing the equivalent impedance and equivalent capacitance in the transient simulation electrical parameters by a third ratio; The preset second judgment threshold is greater than the preset first judgment threshold.

7. The method for correcting parameters of a wind farm electromagnetic transient simulation model according to claim 1, characterized in that: Also includes: When the transient parameter deviation index is less than a preset judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are kept unchanged.

8. A wind farm electromagnetic transient simulation model parameter correction device, characterized in that: include: A transient parameter acquisition module is used to obtain transient simulation electrical parameters of the electromagnetic transient simulation model of the wind farm to be corrected within a preset time period; wherein the transient simulation electrical parameters include equivalent impedance, equivalent capacitance, equivalent potential, grid connection point voltage phase angle, power consumption, and wind turbine export power; A time series construction module is used to construct electrical parameter time series according to the transient simulation electrical parameters and preset time intervals; wherein the electrical parameter time series includes: equivalent impedance time series, equivalent capacitance time series, equivalent potential time series, voltage phase angle time series, power consumption time series, and export power time series; An influence factor calculation module, configured to calculate an influence factor of a transient simulation electrical parameter at each moment on a transient simulation electrical parameter at the next moment based on the equivalent impedance time series, the equivalent potential time series, the power consumption time series, and the export power time series; A transient parameter prediction value generation module is used to predict each transient simulation electrical parameter at a target prediction moment based on the electrical parameter time series and the influencing factors to obtain a transient simulation electrical parameter prediction value; A transient parameter deviation index calculation module is used to calculate the transient parameter deviation index based on the transient simulation electrical parameter prediction value; The transient model correction module is used to compare the transient parameter deviation index with a preset first judgment threshold. When the transient parameter deviation index is greater than or equal to the preset first judgment threshold, the transient simulation electrical parameters of the electromagnetic transient simulation model are corrected according to a preset ratio.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for correcting parameters of an electromagnetic transient simulation model of a wind farm station according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for correcting parameters of an electromagnetic transient simulation model of a wind farm station according to any one of claims 1 to 7.

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