New energy unit grid-connected point flicker characteristic simulation evaluation method and related device

Abstract

The invention belongs to the field of new energy grid-connected operation and control, and discloses a new energy unit grid-connected point flicker characteristic simulation evaluation method and related device.The method comprises the steps that data with typical flicker characteristics in source data are extracted to obtain characteristic data, and first synthesis source data and second synthesis source data are constructed; obtaining each preset value P CPF and a P CPF proportion on an instantaneous flicker visual sensitivity function cumulative probability curve of the source data and the second synthesis source data; according to the first synthesis source data, calling a preset simulation model of the same series of new energy units, generating and obtaining a P CPF of the first synthesis simulation data, and obtaining and generating a new energy unit grid connection point flicker characteristic simulation evaluation result according to the converted P CPF of the same series of new energy units in combination with the P CPF proportion. According to the method, the simulation evaluation efficiency can be improved, the simulation evaluation period can be shortened, meanwhile, the equipment computing power / storage power required by simulation evaluation is reduced, and it is ensured that the new energy unit grid-connected point flicker characteristic simulation evaluation result has good consistency and credibility.

Description

Technical Field

[0001] This invention belongs to the field of grid-connected operation and control of new energy, and relates to a simulation evaluation method and related device for flicker characteristics at the grid connection point of a new energy unit. Background Technology

[0002] In recent years, voltage fluctuations and flicker events at grid connection points for new energy sources such as wind and solar power have shown a rapid upward trend, negatively impacting the safe and stable operation of new energy power plants, power systems, and regional electricity loads. To ensure the safe and stable operation of the power grid, relevant grid connection standards require new energy power plants to complete on-site type tests or grid-connected performance assessments within six months of grid connection. The simulation evaluation of flicker characteristics of new energy units mainly includes two parts: model verification and simulation evaluation. Using verified simulation models to evaluate and analyze the flicker characteristics of new energy units ensures the credibility, accuracy, and consistency of the simulation evaluation results.

[0003] The increasing size of new energy generating units, the diversification of control components and strategies, the complexity of voltage / current spectrum characteristics, and the deepening of inter-unit interactions and grid coupling have led to a continuous increase in the dynamic complexity of the system. Electromechanical transient simulation models can no longer meet the needs of flicker assessment, necessitating the use of electromagnetic transient simulation models to obtain simulation data with typical flicker characteristics. On the one hand, electromagnetic transient simulations offer smaller step sizes and higher accuracy, but significantly increase simulation time. On the other hand, due to the limited computing power and storage space of simulation equipment, the speed of electromagnetic transient simulation is significantly lower compared to electromechanical transient simulation. The problems of low simulation evaluation efficiency and long simulation evaluation cycles are becoming increasingly prominent, seriously affecting the progress of simulation evaluation of flicker characteristics in new energy generating units, and an effective solution is urgently needed. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a simulation evaluation method and related device for flicker characteristics at the grid connection point of a new energy unit.

[0005] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, the present invention provides a method for simulating and evaluating the flicker characteristics at the grid connection point of a new energy power unit, comprising: acquiring source data of the new energy power unit, extracting data with typical flicker characteristics from the source data to obtain feature data, and constructing a first synthetic source data and a second synthetic source data based on the feature data; and acquiring preset values ​​on the cumulative probability curves of the instantaneous flicker perception function of the source data and the second synthetic source data. P CPF as well as P CPF Proportion; among which, P CPF Including the virtual grid method and the direct voltage method P CPFBased on the first synthetic source data, a preset simulation model of the same series of new energy units is called to generate the first synthetic simulation data, and the first synthetic simulation data is obtained. P CPF Based on the first synthetic simulation data P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of flicker characteristics at the grid connection point of the new energy unit were generated.

[0006] Optionally, the source data of the new energy unit includes source data under different operating conditions of the new energy unit; the extraction of data with typical flicker characteristics from the source data to obtain feature data includes: when the new energy unit is a wind turbine, extracting the three-phase voltage and three-phase current data of the wind turbine grid connection point from the source data for one or more of the following time periods: time periods before and after the maximum and second maximum wind turbulence intensity, time periods before and after the maximum and second maximum wind speed and generator speed changes, and time periods before and after the maximum and second maximum voltage / current amplitude in the 0~35Hz frequency band; and deleting the extracted data. For data that is time-repeated, feature data is obtained. When the new energy unit is a photovoltaic power generation unit, the following three-phase voltage and three-phase current data of the photovoltaic power generation unit grid connection point are extracted from the source data: the time periods before and after the maximum and second maximum values ​​of rapid irradiance and temperature changes, the time periods before and after the maximum and second maximum values ​​of average irradiance, average temperature, and inverter DC bus voltage changes, and the time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the 0~35Hz frequency band; and the time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the extracted data are deleted to obtain feature data.

[0007] Optionally, the construction of the first and second synthetic source data based on feature data includes: preprocessing the feature data to construct the first synthetic source data, and supplementing the first synthetic source data to obtain the second synthetic source data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding and merging; the time length of the first synthetic source data is not greater than 200s, and the time length of the second synthetic source data is not less than 600s.

[0008] Optionally, the preset values ​​on the cumulative probability curve of the instantaneous flicker visual perception function are the instantaneous flicker visual perception values ​​on the cumulative probability curve for 0.1%, 0.7%, 1%, 1.5%, 2.2%, 3%, 4%, 6%, 8%, 10%, 13%, 17%, 30%, 50%, and 80% of the time.

[0009] Optionally, the preset simulation model of the same series of new energy generating units is obtained in the following manner: based on the first synthetic source data, the preset simulation model of the new energy generating unit is called to obtain the instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating unit, and after preprocessing, the data is supplemented to generate the second synthetic simulation data, and the second synthetic simulation data is obtained. P CPF The preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding, and merging; the duration of the second synthetic simulation data is not less than 600 seconds; acquiring the second synthetic simulation data... P CPF With the second synthetic source data P CPF The verification result of the new energy unit simulation model is considered to be passed if the deviation value between the two values ​​is not greater than the preset deviation value threshold; otherwise, the verification result of the new energy unit simulation model is considered to be failed. When the verification result is passed, the preset simulation model of the same series of new energy units is obtained by adjusting the parameters of the new energy unit based on the simulation model. When the verification result is failed, the model parameters or grid parameters of the new energy unit simulation model are adjusted until the verification result of the new energy unit simulation model is passed.

[0010] Optionally, the step of generating the first synthetic simulation data by calling a preset simulation model of the same series of new energy generating units based on the first synthetic source data includes: injecting the first synthetic source data into the preset simulation model of the same series of new energy generating units to obtain instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating unit, performing preprocessing, and then performing data supplementation to generate the first synthetic simulation data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, supplementation, and merging; the time length of the first synthetic simulation data is not less than 600s.

[0011] Optionally, the step of using the first synthetic simulation data P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPFThe simulation evaluation results of the flicker characteristics at the grid connection point of the new energy unit include: the first synthetic simulation data P CPF With the P CPF Multiply by the ratio to obtain the conversion of the same series of new energy units. P CPF Based on the conversion of the same series of new energy units P CPF The flicker characteristic values ​​of the same series of new energy units were calculated based on the flicker calculation method, and used as the simulation evaluation results of the flicker characteristics at the grid connection point of the new energy units.

[0012] In a second aspect, the present invention provides a simulation and evaluation system for flicker characteristics at the grid connection point of a new energy generating unit, comprising: a data preprocessing module for acquiring source data of the new energy generating unit, extracting data with typical flicker characteristics from the source data to obtain feature data, and constructing a first synthetic source data and a second synthetic source data based on the feature data; and a basic analysis module for acquiring preset values ​​on the cumulative probability curves of the instantaneous flicker perception function of the source data and the second synthetic source data. P CPF as well as P CPF Proportion; among which, P CPF Including the virtual grid method and the direct voltage method P CPF The simulation analysis module is used to generate first synthetic simulation data by calling a preset simulation model of the same series of new energy units based on the first synthetic source data, and to acquire the first synthetic simulation data. P CPF The evaluation module is used to evaluate the first synthetic simulation data. P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of flicker characteristics at the grid connection point of the new energy unit were generated.

[0013] Optionally, the source data of the new energy unit includes source data under different operating conditions of the new energy unit; the extraction of data with typical flicker characteristics from the source data to obtain feature data includes: when the new energy unit is a wind turbine, extracting the three-phase voltage and three-phase current data of the wind turbine grid connection point from the source data for one or more of the following time periods: time periods before and after the maximum and second maximum wind turbulence intensity, time periods before and after the maximum and second maximum wind speed and generator speed changes, and time periods before and after the maximum and second maximum voltage / current amplitude in the 0~35Hz frequency band; and deleting the extracted data. For data that is time-repeated, feature data is obtained. When the new energy unit is a photovoltaic power generation unit, the following three-phase voltage and three-phase current data of the photovoltaic power generation unit grid connection point are extracted from the source data: the time periods before and after the maximum and second maximum values ​​of rapid irradiance and temperature changes, the time periods before and after the maximum and second maximum values ​​of average irradiance, average temperature, and inverter DC bus voltage changes, and the time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the 0~35Hz frequency band; and the time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the extracted data are deleted to obtain feature data.

[0014] Optionally, the construction of the first and second synthetic source data based on feature data includes: preprocessing the feature data to construct the first synthetic source data, and supplementing the first synthetic source data to obtain the second synthetic source data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding and merging; the time length of the first synthetic source data is not greater than 200s, and the time length of the second synthetic source data is not less than 600s.

[0015] Optionally, the preset values ​​on the cumulative probability curve of the instantaneous flicker visual perception function are the instantaneous flicker visual perception values ​​on the cumulative probability curve for 0.1%, 0.7%, 1%, 1.5%, 2.2%, 3%, 4%, 6%, 8%, 10%, 13%, 17%, 30%, 50%, and 80% of the time.

[0016] Optionally, the preset simulation model of the same series of new energy generating units is obtained in the following manner: based on the first synthetic source data, the preset simulation model of the new energy generating unit is called to obtain the instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating unit, and after preprocessing, the data is supplemented to generate the second synthetic simulation data, and the second synthetic simulation data is obtained. P CPF The preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding, and merging; the duration of the second synthetic simulation data is not less than 600 seconds; acquiring the second synthetic simulation data... PCPF With the second synthetic source data P CPF The verification result of the new energy unit simulation model is considered to be passed if the deviation value between the two values ​​is not greater than the preset deviation value threshold; otherwise, the verification result of the new energy unit simulation model is considered to be failed. When the verification result is passed, the preset simulation model of the same series of new energy units is obtained by adjusting the parameters of the new energy unit based on the simulation model. When the verification result is failed, the model parameters or grid parameters of the new energy unit simulation model are adjusted until the verification result of the new energy unit simulation model is passed.

[0017] Optionally, the step of generating the first synthetic simulation data by calling a preset simulation model of the same series of new energy generating units based on the first synthetic source data includes: injecting the first synthetic source data into the preset simulation model of the same series of new energy generating units to obtain instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating unit, performing preprocessing, and then performing data supplementation to generate the first synthetic simulation data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, supplementation, and merging; the time length of the first synthetic simulation data is not less than 600s.

[0018] Optionally, the step of using the first synthetic simulation data P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of the flicker characteristics at the grid connection point of the new energy unit include: the first synthetic simulation data P CPF With the P CPF Multiply by the ratio to obtain the conversion of the same series of new energy units. P CPF Based on the conversion of the same series of new energy units P CPF The flicker characteristic values ​​of the same series of new energy units were calculated based on the flicker calculation method, and used as the simulation evaluation results of the flicker characteristics at the grid connection point of the new energy units.

[0019] In a third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit.

[0020] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the above-described simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit.

[0021] Compared with the prior art, the present invention has the following beneficial effects: This invention discloses a method for simulating and evaluating the flicker characteristics at the grid connection point of new energy generating units. First, it extracts data from the source data that exhibits typical flicker characteristics—data that significantly impacts the flicker characteristics of new energy generating units—to obtain feature data. Based on this feature data, it constructs a first synthetic source data set and a second synthetic source data set, and then conducts a simulation evaluation of the flicker characteristics at the grid connection point of the new energy generating units. This method significantly improves simulation evaluation efficiency, shortens the simulation evaluation cycle, and substantially reduces the computing power / storage capacity utilization rate of the equipment required for simulation evaluation. Then, by acquiring the source data and the second synthetic source data… P CPF The scale was adjusted accordingly to correct the first synthetic simulation data. P CPF The conversion of the same series of new energy units was obtained. P CPF Then, based on the conversion of the same series of new energy units... P CPF The simulation evaluation results of flicker characteristics at the grid connection point of new energy units were generated, based on P CPF The introduction of a ratio can effectively improve the consistency of simulation evaluation results of flicker characteristics at the grid connection point of new energy generating units. Furthermore, the method of this invention requires no additional hardware and is applicable to the simulation evaluation of flicker characteristics at the grid connection point of various new energy generating units. Attached Figure Description

[0022] Figure 1 This is a flowchart of the simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit, as described in an embodiment of the present invention.

[0023] Figure 2 This is a schematic diagram illustrating the data preprocessing principle of an embodiment of the present invention.

[0024] Figure 3 This is a schematic diagram illustrating the detailed data preprocessing process according to an embodiment of the present invention.

[0025] Figure 4 This is a structural block diagram of the simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit, according to an embodiment of the present invention. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] The present invention will now be described in further detail with reference to the accompanying drawings: See Figure 1 In one embodiment of the present invention, a simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit is provided, which effectively improves the simulation evaluation efficiency, reduces the simulation evaluation cycle, and can effectively meet the growing demand for simulation evaluation of flicker characteristics at the grid connection point of new energy units.

[0029] Specifically, the simulation evaluation method for flicker characteristics at the grid connection point of new energy generating units in this invention includes the following steps: S1: Obtain source data from new energy units, extract data with typical flicker characteristics from the source data to obtain feature data, and construct first and second synthetic source data based on the feature data.

[0030] S2: Obtain preset values ​​on the cumulative probability curve of the instantaneous flicker visual perception function of the source data and the second synthesized source data. P CPF as well as P CPF Proportion; among which, P CPF Including the virtual grid method and the direct voltage method P CPF .

[0031] S3: Based on the first synthetic source data, call the preset simulation model of the same series of new energy units to generate the first synthetic simulation data, and obtain the first synthetic simulation data.P CPF .

[0032] S4: Based on the first synthetic simulation data P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of flicker characteristics at the grid connection point of the new energy unit were generated.

[0033] This invention discloses a method for simulating and evaluating the flicker characteristics at the grid connection point of new energy generating units. First, it extracts data from the source data that exhibits typical flicker characteristics—data that significantly impacts the flicker characteristics of new energy generating units—to obtain feature data. Based on this feature data, it constructs a first synthetic source data set and a second synthetic source data set, and then conducts a simulation evaluation of the flicker characteristics at the grid connection point of the new energy generating units. This method significantly improves simulation evaluation efficiency, shortens the simulation evaluation cycle, and substantially reduces the computing power / storage capacity utilization rate of the equipment required for simulation evaluation. Then, by acquiring the source data and the second synthetic source data… P CPF The scale was adjusted accordingly to correct the first synthetic simulation data. P CPF The conversion of the same series of new energy units was obtained. P CPF Then, based on the conversion of the same series of new energy units... P CPF The simulation evaluation results of flicker characteristics at the grid connection point of new energy units were generated, based on P CPF The introduction of a ratio can effectively improve the consistency of simulation evaluation results of flicker characteristics at the grid connection point of new energy generating units. Furthermore, the method of this invention requires no additional hardware and is applicable to the simulation evaluation of flicker characteristics at the grid connection point of various new energy generating units.

[0034] Interpretively, the virtual grid method and the direct voltage method are two commonly used methods for assessing voltage flicker. The virtual grid method simulates the impact of the actual power grid on flicker measurement by constructing an equivalent grid impedance model, thereby calculating the flicker value; the direct voltage method directly uses measured voltage fluctuation data at the grid connection point, assessing the flicker level by analyzing the rate and frequency of voltage change. Both quantify flicker from the perspectives of grid impedance characteristics and direct voltage waveform analysis, respectively.

[0035] Interpretive, transient flicker visual perception function cumulative probability curve is a statistical tool used to quantify the impact of voltage fluctuations on human vision. It is based on the transient flicker visual perception values ​​caused by voltage fluctuations over a short period of time (usually 10 minutes). By statistically accumulating these values ​​over time at different levels, a probability curve reflecting the severity of flicker is formed. It is one of the core indicators for flicker assessment in the International Electrotechnical Commission (IEC) standards.

[0036] For interpretative purposes, transient flicker sensitivity values ​​at 0.1%, 1%, 3%, 10%, and 50% of the time on the cumulative probability curve of the transient flicker sensitivity function are typically selected. These values ​​characterize the percentage of the cumulative time of different levels of transient flicker sensitivity relative to the measurement time, thereby comprehensively assessing the statistical characteristics and extreme cases of voltage fluctuations.

[0037] In one possible implementation, the source data of the new energy unit includes source data under different operating conditions of the new energy unit.

[0038] Interpretive sources of data generally include test data, experimental platform data, hardware-in-the-loop (HIL) test data, and digital model simulation data that meets relevant standards. For example, for wind turbine generators, the source data typically includes at least instantaneous data such as wind speed, three-phase voltage, and three-phase current.

[0039] In one possible implementation, the extraction of characteristic data with typical flicker features from the source data includes: when the new energy unit is a wind turbine, extracting the three-phase voltage and three-phase current data of the wind turbine grid connection point from the source data for one or more of the following time periods: time periods before and after the maximum and second maximum wind turbulence intensity, time periods before and after the maximum and second maximum wind speed and generator speed changes, and time periods before and after the maximum and second maximum voltage / current amplitude in the 0~35Hz frequency band; and deleting time-repeated data from the extracted data. According to the data, characteristic data is obtained; when the new energy unit is a photovoltaic power generation unit, the three-phase voltage and three-phase current data of the photovoltaic power generation unit grid connection point are extracted from the source data for one or more of the following time periods: the time periods before and after the maximum and second maximum values ​​of rapid irradiance and temperature changes, the time periods before and after the maximum and second maximum values ​​of average irradiance, average temperature, and inverter DC bus voltage changes, and the time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the 0~35Hz frequency band; and the time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the extracted data are deleted to obtain characteristic data.

[0040] For example, the preset duration is generally no more than 25 seconds.

[0041] For example, the source data D of the wind turbine to be evaluated is obtained.t_i And extract multiple feature data with typical flicker characteristics from multiple source data, using D t_ij Indicates; among which, i The number of data points in 10 minutes. j The number of feature data points extracted from a single 10-minute dataset is shown in the following formula:

[0042] In one possible implementation, see Figure 2 The construction of the first and second synthetic source data based on feature data includes: preprocessing the feature data to construct the first synthetic source data, and supplementing the first synthetic source data to obtain the second synthetic source data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding and merging; the time length of the first synthetic source data is not greater than 200s, and the time length of the second synthetic source data is not less than 600s.

[0043] Explained, amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding, and merging are preprocessing operations for characteristic data of new energy units: amplitude fine-tuning refers to making small adjustments to the signal amplitude to simulate actual fluctuations; phase fine-tuning adjusts the phase angle of the signal to change its time alignment characteristics; timing fine-tuning involves making minor changes to the time order or interval of the data sequence; windowing refers to applying a window function (such as the Hanning window) to the data segment to reduce spectral leakage; padding is to make the data length meet the specified requirements through interpolation or padding; merging is to integrate multiple processed data segments into a continuous dataset.

[0044] Explanatoryly, the second synthetic source data is obtained by supplementing the first synthetic source data with data. For example, if the first synthetic source data is 200s, the second synthetic source data of 600s is obtained by supplementing 400s of data. The supplemented 400s of data is data t0.

[0045] Interpretive preprocessing of feature data is primarily aimed at smoothing the data and eliminating interference signals introduced during data extraction and integration, thereby improving the reliability and credibility of flicker simulation evaluation results.

[0046] For example, see Figure 3 The amplitude fine-tuning, phase fine-tuning, timing fine-tuning, and merging processes are achieved by adding vector data. THIS ij ＊ The implementation is shown in the following formula: D cta_i ＊ = D t_(i-1)(j-1) ＊ + THIS ij ＊ + D t_ij ＊ The padding and merging process involves adding padding vector data. THIS 00 ＊ The implementation is shown in the following formula: D ctb_i ＊ = D cta_i ＊ + THIS 00 ＊ Finally, the first synthetic source data was obtained. D cta_i Second synthetic source data D ctb_i As shown in the following formula;

[0047] The superscript * indicates that the data is a vector. THIS 00 ＊ To complete the data vector, the duration is t. BU00 =600-t1.

[0048] In one possible implementation, the preset values ​​on the cumulative probability curve of the instantaneous flicker visual sensitivity function are instantaneous flicker visual sensitivity values ​​equal to 0.1%, 0.7%, 1%, 1.5%, 2.2%, 3%, 4%, 6%, 8%, 10%, 13%, 17%, 30%, 50%, and 80% of the time on the cumulative probability curve.

[0049] Interpretive, based on the flicker calculation method given in the standard GB / T 12326 Power Quality Voltage Fluctuations and Flicker, the percentage of the cumulative time of instantaneous flicker perception on the cumulative probability curve, representing 0.1%, 1%, 3%, 10%, and 50%, is used as the reference value. P 0.1 , P 1s , P 3s , P 10s and P 50s As shown in the following formula;

[0050] in, P0.1 It can be calculated directly. P 0.1 , P 0.7 , P 1. P 1.5 , P 2.2 , P 3. P 4. P 6. P 8. P 10 , P 13 , P 17 , P 30 , P 50 and P 80 These are the probability values ​​for the percentage of cumulative time of different levels of instantaneous flicker visual sensitivity during the measurement period, which are 0.1%, 0.7%, 1%, 1.5%, 2.2%, 3%, 4%, 6%, 8%, 10%, 13%, 17%, 30%, 50%, and 80%, respectively. The suffix 's' in the formula indicates that a smoothing value should be used.

[0051] For example, source data and second synthesized source data P CPF Use respectively F t_Pm_wn_i and F ctb_Pm_wn_i as well as F t_Pm_U_i and F ctb_Pm_U_i Indicates; among which, F t_Pm_wn_i For the first i Under the individual data virtual power grid method, the preset percentage is m and the power grid impedance angle is n. P CPF , F ctb_Pm_wn_i For the first i Under the second synthetic source data virtual power grid method, the preset percentage is m and the power grid impedance angle is n. P CPF , F t_Pm_U_i For the first i Under the direct power grid method for individual source data, the preset percentage is m. P CPF , F ctb_Pm_U_i For the first i The second synthetic source data has a preset percentage of m under the direct power grid method.P CPF .

[0052] For example, based on the virtual power grid method, calculations were performed for each preset percentage and at different power grid impedance angles, namely 30°, 50°, 70°, and 85°. D t_i and D ctb_i of P CPF : F t_Pm_wn_i =[ F t_P0.1_w30_i F t_P0.1_w50_i F t_P0.1_w70_i F t_P0.1_w85_i F t_P1s_w30_i F t_P1s_w50_i … F t_P50s_w85_i ] and F ctb_Pm_wn_i =[ F ctb_P0.1_w30_i F ctb_P0.1_w50_ i F ctb_P0.1_w70_i F ctb_P0.1_w85_i F ctb_P1s_w30_i F ctb_P1s_w50_i … F ctb_P50s_w85_i Based on the direct voltage method, the values ​​of each preset percentage were calculated. D t_i and D ctb_i of P CPF : F t_Pm_U_i =[ F t_P0.1_U_i F t_P1s_U_i F t_P3s_U_i F t_P10s_U_i F t_P50s_U_i ]and F ctb_Pm_U_i =[ F ctb_P0.1_U_i F ctb_P1s_U_i F ctb_P3s_U_i Fctb_P10s_U_i F ctb_P50s_U_i ]; and calculate the virtual power grid method according to the following formula. P CPF Proportion K wn_i and direct grid method P CPF Proportion K U_i :

[0053]

[0054] In one possible implementation, the preset simulation model of the same series of new energy generating units is obtained in the following manner: based on the first synthetic source data, the preset simulation model of the new energy generating unit is called to obtain the instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating unit, and after preprocessing, the data is supplemented to generate the second synthetic simulation data, and the second synthetic simulation data is obtained. P CPF The preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding, and merging; the duration of the second synthetic simulation data is not less than 600 seconds; acquiring the second synthetic simulation data... P CPF With the second synthetic source data P CPF The verification result of the new energy unit simulation model is considered to be passed if the deviation value between the two values ​​is not greater than the preset deviation value threshold; otherwise, the verification result of the new energy unit simulation model is considered to be failed. When the verification result is passed, the preset simulation model of the same series of new energy units is obtained by adjusting the parameters of the new energy unit based on the simulation model. When the verification result is failed, the model parameters or grid parameters of the new energy unit simulation model are adjusted until the verification result of the new energy unit simulation model is passed.

[0055] For example, the preset simulation model of the new energy unit can be established using existing methods. This embodiment provides a verification method for the simulation model of the new energy unit.

[0056] Specifically, the first synthetic source data D cta_i By injecting simulation data of the new energy unit's three-phase voltage and current instantaneous values ​​at the grid connection point into the simulation model, simulation data of the new energy unit's three-phase voltage and current are obtained. D s_i and to D s_i Preprocessing is performed to obtain the second synthetic simulation data. D cs_i , Dcs_i Duration is t 3 (usually 600s), as shown in the following formula: D cs_i ＊ = D s_i ＊ + THIS 00 ＊ Explanatory D cs_i Data completion can be used, such as in the 200s. D s_i Based on the data t0, padding is performed to obtain 600s. D cs_i .

[0057] Interpretive calculation of the second synthetic simulation data D based on the virtual power grid method and the direct voltage method. cs_i of P CPF : F csb_Pm_wn_i and F csb_Pm_U_i Further calculation of the second synthetic source data D ctb_i Second synthetic simulation data D cs_i of P CPF deviation value F pc_Pm_wn_i and F pc_Pm_U_i As shown in the following formula: F pc_Pm_wn_i = F ctb_Pm_wn_i - F csb_Pm_wn_i F pc_Pm_U_i = F ctb_Pm_U_i - F csb_Pm_U_i Where w represents the virtual grid method and U represents the direct voltage method. m Indicates the preset percentage. n Indicates the power grid impedance angle. i This indicates data from different sources.

[0058] When | F pc_Pm_wn_i |≤ ε 1 and | F pc_Pm_U_i |≤ ε At 2 o'clock, among them, ε 1 and ε 2 represents the maximum allowable deviation value required by relevant standards. This new energy unit was verified through a flicker characteristic model. If the requirements are not met, the simulation model of the new energy unit can be modified by adjusting model parameters, grid parameters, etc., and new second synthetic simulation data D can be obtained again. cs_i And recalculate the deviation value. F pc_Pm_wn_i and F pc_Pm_U_i This continues until the verification result of the simulation model of the new energy unit is passed.

[0059] In one possible implementation, the step of generating the first synthetic simulation data by calling a preset simulation model of the same series of new energy generating units based on the first synthetic source data includes: injecting the first synthetic source data into the preset simulation model of the same series of new energy generating units to obtain instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating unit, performing preprocessing, and then performing data supplementation to generate the first synthetic simulation data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, supplementation, and merging; the time length of the first synthetic simulation data is not less than 600s.

[0060] Interpretively, based on the validated simulation model of the new energy unit, the parameters of the new energy unit (such as rated capacity and blade parameters) are adjusted to obtain a simulation model of the same series of new energy units. Simulations of the flicker characteristics at the grid connection point of the same series of new energy units are then conducted to obtain instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the same series of new energy units. D ss_i For simulation data with a duration of t1 D ss_i Preprocessing and data completion are performed to obtain the first synthetic simulation data with a duration of t4 (usually t4 is 600s). D css_i : D css_i ＊ = D ss_i ＊ + THIS 00 ＊ Explanatory D css_i Data completion can be used, such as in the 200s. D ss_i Based on the data t0, padding is performed to obtain 600s. D css_iIn the same project, the same data is generally used to complete both the source data and the simulation data.

[0061] In one possible implementation, the step of using the first synthetic simulation data... P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of the flicker characteristics at the grid connection point of the new energy unit include: the first synthetic simulation data P CPF With the P CPF Multiply by the ratio to obtain the conversion of the same series of new energy units. P CPF Based on the conversion of the same series of new energy units P CPF The flicker characteristic values ​​of the same series of new energy units were calculated based on the flicker calculation method, and used as the simulation evaluation results of the flicker characteristics at the grid connection point of the new energy units.

[0062] Explanatory, based on the virtual grid method and the direct voltage method, the synthesized simulation data of the grid connection point of the same series of wind turbines, namely the first synthesized simulation data D. css_i of P CPF : F css_Pm_wn_i and F css_Pm_U_i Further, the conversion of the same series of new energy units can be calculated according to the following formula. P CPF : F ss_Pm_wn_i and F ss_Pm_U_i : F ss_Pm_wn_i = K Pm_wn_i × F css_Pm_wn_i F ss_Pm_U_i = K Pm_U_i × F css_Pm_U_i Then, according to the calculation method given in the standard GB / T 12326 Power Quality Voltage Fluctuation and Flicker, the flicker characteristic value of the same series of new energy units is calculated. Psst ss_wn_i and Psst ss_U_i As shown in the following formula:

[0063]

[0064] flicker characteristic values ​​of the same series of new energy units Psst ss_wn_i and Psst ss_U_i This serves as the simulation evaluation result of flicker characteristics at the grid connection point of new energy generating units. Furthermore, the calculated flicker characteristic values ​​can be compared with the flicker limits specified in the adopted evaluation standard to determine whether the flicker condition is acceptable.

[0065] In one possible implementation, the specific implementation process of the simulation evaluation method for flicker characteristics at the grid connection point of the new energy unit of the present invention is illustrated using a wind turbine as an example.

[0066] Step 1: Obtain source data D of the wind turbine to be evaluated 1、 D2 and D3, which include instantaneous data of real-time wind speed, three-phase voltage, and three-phase current. Data for 25 seconds before and after the following time points are extracted from the three source data points respectively: a) The period of maximum wind turbulence intensity D... t_11 b) The period of greatest wind speed fluctuation D t_21 c) Data on the periods of maximum current and voltage amplitude in the 0-35Hz frequency band (D) t_31 and D t_41 There are a total of 4 data segments; at the same time, the parts of the 4 data segments that are repeated in time are removed, and the total time of data extraction is 200s.

[0067] Step 2: Preprocess the four extracted sub-data points. The preprocessing steps are as follows: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing / padding, and merging. In this embodiment, D1 is used as an example to illustrate the data preprocessing steps: Step 21, according to D t_11 and D t_21 Generate new data BU 01 BU 02 and BU 03 D t_11 and D t_21 Merge to obtain synthetic source data D ct11 As shown in the following formula: D ct11 ＊ = D t_11 ＊ + THIS 01 ＊ + THIS02 ＊ + THIS 03 ＊ + D t_21 ＊ Step 22: Generate new data BU 04 BU 05 and BU 06 D t_31 and D t_41 Merge to obtain synthetic source data D ct12 As shown in the following formula: D ct12 ＊ = D t_31 ＊ + THIS 04 ＊ + THIS 05 ＊ + THIS 06 ＊ + D t_41 ＊ Step 23: Generate new data BU 07 BU 08 and BU 09 D ct11 and D ct12 Merge the data to obtain a 200-second synthetic source data D. cta1 As shown in the following formula: D cta1 ＊ = D ct11 ＊ + THIS 07 ＊ + THIS 08 ＊ + THIS 09 ＊ + D ct12 ＊ Step 24: Generate new data BU 10 Generate and complete data BU 00 D cta1 and BU 00 Merging the data yields a composite source data D with a duration of 600 seconds. ctb1As shown in the following formula: D ctb1 ＊ = D cta1 ＊ + THIS 10 ＊ + THIS 00 ＊ Step 25: Continue in this manner to obtain D. 1、 The source data for the synthesis of D2 and D3 D cta1 D cta2 and D cta3 and synthetic source data D ctb1 D ctb2 and D ctb3 .

[0068] Step 3: Based on the method given in the standard GB / T 12326 Power Quality Voltage Fluctuations and Flicker, calculate the source data D1 and the synthesized source data D2 at different grid impedance angles of 30°, 50°, 70° and 85° using the virtual grid method. ctb1 of P CPF : F t_Pm_wn_1 , F ctb_Pm_wn_1 The source data D1 and the synthesized source data D were calculated based on the direct voltage method. ctb1 of P CPF : F t_Pm_U_1 , F ctb_Pm_U_1 ;in, m Represents different probability densities as percentages. n This represents different grid impedance angles. D1 and D2 are calculated using the following formula. ctb1 of P CPF Proportion: K wn_1 and K U_1 :

[0069]

[0070] And so on, calculate based on D2 and D ctb2 And D3 and D ctb3 of P CPF Proportion.

[0071] Step 4: Establish a joint simulation model for wind turbine units, and synthesize the source data D. cta1 D cta2 and D cta3 The simulation data of the instantaneous three-phase voltage and current at the grid connection point of the wind turbine were obtained by injecting the data into the joint simulation model of the wind turbine. D s_1 , D s_2 and D s_3 Each duration is 200 seconds; and the process is as described in step 2. D s_1 , D s_2 , D s_3 Preprocessing is performed to obtain synthetic simulation data. D cs_1 , D cs_2 and D cs_3 Each video is 600 seconds long.

[0072] Step 5: Calculate and synthesize simulation data based on the virtual power grid method and the direct voltage method. D cs_1 of P CPF : F csb_Pm_wn_1 and F csb_Pm_U_1 And calculate the deviation value according to the following formula. F pc_Pm_wn_1 and F pc_Pm_U_1 : F pc_Pm_wn_1 = F ctb_Pm_wn_1 - F csb_Pm_wn_1 F pc_Pm_U_1 = F ctb_Pm_U_1 - F csb_Pm_U_1 When | F pc_Pm_wn_i |≤ ε 1 and | F pc_Pm_U_i |≤ ε 2 (wherein, ε 1 and ε2 represents the maximum allowable deviation value. Referring to the long-term flicker limits given in standards GB / T 12326 Power Quality Voltage Fluctuations and Flicker and NB / T 31053 Verification Procedure for Electrical Simulation Models of Wind Turbine Units, the flicker characteristics verification of the wind turbine simulation model is passed. If the requirements are not met, the model is modified by adjusting model parameters, grid parameters, etc., and the synthesized simulation data is obtained again. Steps 4 and 5 are then repeated. D cs_2 and D cs_3 of P CPF The method for calculating the deviation value is the same as the process described above.

[0073] Step 6: Based on the validated wind turbine simulation model, adjust the wind turbine parameters (e.g., rated capacity and blade parameters) to obtain a simulation model of the same series of wind turbines. Conduct flicker characteristic simulation at the grid connection point of the same series of wind turbines to obtain instantaneous simulation data of three-phase voltage and three-phase current at the grid connection point of the same series of wind turbines. D ss_1 , D ss_2 and D ss_3 The simulation conditions to be completed can refer to the relevant requirements of the standard "GBT 20320 Methods for Measurement and Evaluation of Electrical Characteristics of Wind Turbine Generator Sets in Wind Power Generation Systems". The simulation data should be preprocessed according to the method in step 2. D ss_1 , D ss_2 and D ss_3 Preprocessing was performed to obtain synthetic simulation data with a duration of 600 seconds according to the following formula. D css_1 ＊ : D css_1 ＊ = D ss_1 ＊ + THIS 00 ＊ in, THIS 00 ＊ To complete the data, the process is repeated to obtain the synthetic simulation data. D css_2 ＊ and D css_3 ＊ .

[0074] Step 7: Calculate simulation data for combinations of wind turbines of the same series based on the virtual grid method and the direct voltage method. D css_1 , D css_2 and D css_3 of P CPF : F css_Pm_wn_i and F css_Pm_U_i ; Calculate the conversion of wind turbine units in the same series according to the following formula. P CPF : F ss_Pm_wn_i and F ss_Pm_U_i , i The values ​​are 1, 2, and 3, and wn takes values ​​of 30°, 50°, 70°, and 85°. F ss_Pm_wn_i = K wn_i × F css_Pm_wn_i F ss_Pm_U_i = K U_i × F css_Pm_U_i Step 8: According to the flicker calculation method given in standard GB / T 12326 Power Quality Voltage Fluctuations and Flicker, use... F ss_Pm_wn_i and F ss_Pm_U_i Calculate the flicker characteristic value at the grid connection point of the same series of wind turbine units. Psst ss_wn_i and Psst ss_U_i , i The values ​​1, 2, and 3 represent the flicker calculation results at the grid connection point of the wind turbine under three different operating conditions, respectively. The values ​​wn are 30°, 50°, 70°, and 85°, representing the flicker calculation results under different impedance angles. The calculation method is shown in the following formula:

[0075]

[0076] Step 9: Based on the flicker calculation results of the wind turbine grid connection point under three different operating conditions, and in conjunction with the relevant flicker evaluation criteria, determine the flicker status of the grid connection point of the wind turbine to be evaluated in the same series.

[0077] The following are embodiments of the apparatus of the present invention, which can be used to execute embodiments of the method of the present invention. For details not disclosed in the apparatus embodiments, please refer to the embodiments of the method of the present invention.

[0078] See Figure 4 In another embodiment of the present invention, a simulation evaluation system for flicker characteristics at the grid connection point of a new energy unit is provided, which can be used to implement the above-mentioned simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit. Specifically, the simulation evaluation system for flicker characteristics at the grid connection point of a new energy unit includes a data preprocessing module, a basic analysis module, a simulation analysis module, and an evaluation module.

[0079] The data preprocessing module is used to acquire source data from new energy units, extract data with typical flicker characteristics from the source data to obtain feature data, and construct first and second synthetic source data based on the feature data; the basic analysis module is used to acquire preset values ​​on the cumulative probability curves of the instantaneous flicker perception function of the source data and the second synthetic source data. P CPF as well as P CPF Proportion; among which, P CPF Including the virtual grid method and the direct voltage method P CPF The simulation analysis module is used to generate first synthetic simulation data by calling a preset simulation model of the same series of new energy units based on the first synthetic source data, and to obtain the first synthetic simulation data. P CPF The evaluation module is used to evaluate the first synthetic simulation data. P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of flicker characteristics at the grid connection point of the new energy unit were generated.

[0080] In one possible implementation, the source data of the new energy unit includes source data under different operating conditions of the new energy unit; the extraction of characteristic data with typical flicker characteristics from the source data includes: when the new energy unit is a wind turbine, extracting the three-phase voltage and three-phase current data of the wind turbine grid connection point for one or more of the following time periods from the source data: time periods before and after the maximum and second maximum wind turbulence intensity, time periods before and after the maximum and second maximum wind speed and generator speed changes, and time periods before and after the maximum and second maximum voltage / current amplitude in the 0~35Hz frequency band; and Remove time-duplication data from the extracted data to obtain feature data; when the new energy unit is a photovoltaic power generation unit, extract the three-phase voltage and three-phase current data of the photovoltaic power generation unit grid connection point from the source data for one or more of the following time periods: the time periods before and after the maximum and second maximum values ​​of rapid irradiance and temperature changes, the time periods before and after the maximum and second maximum values ​​of average irradiance, average temperature, and inverter DC bus voltage changes, and the time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the 0~35Hz frequency band; and remove time-duplication data from the extracted data to obtain feature data.

[0081] In one possible implementation, constructing the first and second synthetic source data based on feature data includes: preprocessing the feature data to construct the first synthetic source data, and padding the first synthetic source data to obtain the second synthetic source data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding, and merging; the duration of the first synthetic source data is no more than 200s, and the duration of the second synthetic source data is no less than 600s; the second synthetic source data is obtained by padding the first synthetic source data.

[0082] In one possible implementation, the preset values ​​on the cumulative probability curve of the instantaneous flicker visual sensitivity function are instantaneous flicker visual sensitivity values ​​equal to 0.1%, 0.7%, 1%, 1.5%, 2.2%, 3%, 4%, 6%, 8%, 10%, 13%, 17%, 30%, 50%, and 80% of the time on the cumulative probability curve.

[0083] In one possible implementation, the preset simulation model of the same series of new energy generating units is obtained in the following manner: based on the first synthetic source data, the preset simulation model of the new energy generating unit is called to obtain the instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating unit, and after preprocessing, the data is supplemented to generate the second synthetic simulation data, and the second synthetic simulation data is obtained. P CPFThe preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding, and merging; the duration of the second synthetic simulation data is not less than 600 seconds; acquiring the second synthetic simulation data... P CPF With the second synthetic source data P CPF The verification result of the new energy unit simulation model is considered to be passed if the deviation value between the two values ​​is not greater than the preset deviation value threshold; otherwise, the verification result of the new energy unit simulation model is considered to be failed. When the verification result is passed, the preset simulation model of the same series of new energy units is obtained by adjusting the parameters of the new energy unit based on the simulation model. When the verification result is failed, the model parameters or grid parameters of the new energy unit simulation model are adjusted until the verification result of the new energy unit simulation model is passed.

[0084] In one possible implementation, the step of generating the first synthetic simulation data by calling a preset simulation model of the same series of new energy generating units based on the first synthetic source data includes: injecting the first synthetic source data into the preset simulation model of the same series of new energy generating units to obtain instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy generating units, performing preprocessing, and then performing data completion to generate the first synthetic simulation data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, completion, and merging; the time length of the first synthetic simulation data is not less than 600s.

[0085] In one possible implementation, the step of using the first synthetic simulation data... P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of the flicker characteristics at the grid connection point of the new energy unit include: the first synthetic simulation data P CPF With the P CPF Multiply by the ratio to obtain the conversion of the same series of new energy units. P CPF Based on the conversion of the same series of new energy units P CPF The flicker characteristic values ​​of the same series of new energy units were calculated based on the flicker calculation method, and used as the simulation evaluation results of the flicker characteristics at the grid connection point of the new energy units.

[0086] All relevant content of each step involved in the aforementioned embodiment of the simulation evaluation method for flicker characteristics at the grid connection point of new energy units can be referenced to the functional description of the corresponding functional module of the simulation evaluation system for flicker characteristics at the grid connection point of new energy units in the embodiments of the present invention, and will not be repeated here.

[0087] The module division in this embodiment of the invention is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the invention can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0088] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve corresponding method flows or corresponding functions. The processor described in this embodiment of the present invention can be used for the operation of a simulation evaluation method for flicker characteristics at the grid connection point of new energy units.

[0089] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory). This computer-readable storage medium is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the simulation evaluation method for the flicker characteristics of the grid connection point of new energy units in the above embodiments.

[0090] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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.

[0091] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0092] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0093] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit, characterized in that, include: The source data of the new energy unit is obtained, and the data with typical flicker characteristics in the source data are extracted to obtain the feature data. The first synthetic source data and the second synthetic source data are constructed based on the feature data. Preset values ​​on the cumulative probability curves of the instantaneous flicker visual perception function of the source data and the second synthesized source data. P CPF as well as P CPF Proportion; among which, P CPF Including the virtual grid method and the direct voltage method P CPF ; Based on the first synthetic source data, a preset simulation model of the same series of new energy units is invoked to generate the first synthetic simulation data, and the first synthetic simulation data is obtained. P CPF ; Based on the first synthetic simulation data P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of flicker characteristics at the grid connection point of the new energy unit were generated.

2. The simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The source data of the new energy unit includes source data of the new energy unit under different operating conditions; The feature data obtained by extracting data with typical flicker characteristics from the source data includes: When the new energy unit is a wind turbine, extract the three-phase voltage and three-phase current data of the wind turbine grid connection point from one or more of the following time periods from the source data: time periods before and after the maximum and second maximum wind turbulence intensity, time periods before and after the maximum and second maximum wind speed and generator speed changes, and time periods before and after the maximum and second maximum voltage / current amplitude in the 0~35Hz frequency band; and delete the time-repeated data in the extracted data to obtain the feature data; When the new energy unit is a photovoltaic power generation unit, extract the three-phase voltage and three-phase current data of the photovoltaic power generation unit grid connection point from one or more of the following time periods from the source data: time periods before and after the maximum and second maximum values ​​of rapid irradiance and temperature changes, time periods before and after the maximum and second maximum values ​​of average irradiance, average temperature, and inverter DC bus voltage changes, and time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the 0~35Hz frequency band; and delete time-repeated data in the extracted data to obtain feature data.

3. The simulation and evaluation method for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The construction of the first and second synthetic source data based on feature data includes: The feature data is preprocessed to construct the first synthetic source data, and the first synthetic source data is supplemented to obtain the second synthetic source data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding and merging; the time length of the first synthetic source data is not greater than 200s, and the time length of the second synthetic source data is not less than 600s.

4. The simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The preset values ​​on the cumulative probability curve of the instantaneous flicker visual perception function are the instantaneous flicker visual perception values ​​at 0.1%, 0.7%, 1%, 1.5%, 2.2%, 3%, 4%, 6%, 8%, 10%, 13%, 17%, 30%, 50%, and 80% of the time on the cumulative probability curve.

5. The simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The preset simulation model of the same series of new energy units is obtained in the following way: Based on the first synthetic source data, the instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy unit are obtained by calling the preset simulation model of the new energy unit and preprocessing them. Then, the data is supplemented to generate the second synthetic simulation data, and the second synthetic simulation data is obtained. P CPF The preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, completion, and merging; the duration of the second synthesized simulation data is not less than 600 seconds. Acquiring the second synthetic simulation data P CPF With the second synthetic source data P CPF The verification result of the new energy unit simulation model is considered to be passed if the deviation value is not greater than the preset deviation value threshold; otherwise, the verification result of the new energy unit simulation model is considered to be failed. When the verification result is passed, the preset simulation model of the same series of new energy units is obtained by adjusting the parameters of the new energy units based on the simulation model of the new energy units. When the verification result is unsuccessful, the model parameters or grid parameters of the new energy unit simulation model are adjusted until the verification result of the new energy unit simulation model is successful.

6. The simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The step of generating the first synthetic simulation data by calling a preset simulation model of the same series of new energy units based on the first synthetic source data includes: The first synthetic source data is injected into a preset simulation model of the same series of new energy units to obtain instantaneous simulation data of three-phase voltage and three-phase current at the grid connection point of the new energy unit. After preprocessing, the data is supplemented to generate the first synthetic simulation data. The preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, supplementation and merging. The time length of the first synthetic simulation data is not less than 600s.

7. The simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The first synthetic simulation data P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of the flicker characteristics at the grid connection point of the new energy unit include: The first synthetic simulation data P CPF With the P CPF Multiply by the ratio to obtain the conversion of the same series of new energy units. P CPF ; Based on the conversion of the same series of new energy units P CPF The flicker characteristic values ​​of the same series of new energy units were calculated based on the flicker calculation method, and used as the simulation evaluation results of the flicker characteristics at the grid connection point of the new energy units.

8. A simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit, characterized in that, include: The data preprocessing module is used to acquire source data from new energy units, extract data with typical flicker characteristics from the source data to obtain feature data, and construct first and second synthetic source data based on the feature data. The basic analysis module is used to obtain preset values ​​on the cumulative probability curve of the instantaneous flicker visual perception function of the source data and the second synthesized source data. P CPF as well as P CPF Proportion; among which, P CPF Including the virtual grid method and the direct voltage method P CPF ; The simulation analysis module is used to generate first synthetic simulation data by calling a preset simulation model of the same series of new energy units based on the first synthetic source data, and to obtain the first synthetic simulation data. P CPF ; The evaluation module is used to evaluate the first synthetic simulation data. P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of flicker characteristics at the grid connection point of the new energy unit were generated.

9. The simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The source data of the new energy unit includes source data of the new energy unit under different operating conditions; The feature data obtained by extracting data with typical flicker characteristics from the source data includes: When the new energy unit is a wind turbine, extract the three-phase voltage and three-phase current data of the wind turbine grid connection point from one or more of the following time periods from the source data: time periods before and after the maximum and second maximum wind turbulence intensity, time periods before and after the maximum and second maximum wind speed and generator speed changes, and time periods before and after the maximum and second maximum voltage / current amplitude in the 0~35Hz frequency band; and delete the time-repeated data in the extracted data to obtain the feature data; When the new energy unit is a photovoltaic power generation unit, extract the three-phase voltage and three-phase current data of the photovoltaic power generation unit grid connection point from one or more of the following time periods from the source data: time periods before and after the maximum and second maximum values ​​of rapid irradiance and temperature changes, time periods before and after the maximum and second maximum values ​​of average irradiance, average temperature, and inverter DC bus voltage changes, and time periods before and after the maximum and second maximum values ​​of voltage / current amplitude in the 0~35Hz frequency band; and delete time-repeated data in the extracted data to obtain feature data.

10. The simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The construction of the first and second synthetic source data based on feature data includes: The feature data is preprocessed to construct the first synthetic source data, and the first synthetic source data is supplemented to obtain the second synthetic source data; wherein, the preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, padding and merging; the time length of the first synthetic source data is not greater than 200s, and the time length of the second synthetic source data is not less than 600s.

11. The simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The preset values ​​on the cumulative probability curve of the instantaneous flicker visual perception function are the instantaneous flicker visual perception values ​​at 0.1%, 0.7%, 1%, 1.5%, 2.2%, 3%, 4%, 6%, 8%, 10%, 13%, 17%, 30%, 50%, and 80% of the time on the cumulative probability curve.

12. The simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The preset simulation model of the same series of new energy units is obtained in the following way: Based on the first synthetic source data, the instantaneous simulation data of the three-phase voltage and three-phase current at the grid connection point of the new energy unit are obtained by calling the preset simulation model of the new energy unit and preprocessing them. Then, the data is supplemented to generate the second synthetic simulation data, and the second synthetic simulation data is obtained. P CPF The preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, completion, and merging; the duration of the second synthesized simulation data is not less than 600 seconds. Acquiring the second synthetic simulation data P CPF With the second synthetic source data P CPF The verification result of the new energy unit simulation model is considered to be passed if the deviation value is not greater than the preset deviation value threshold; otherwise, the verification result of the new energy unit simulation model is considered to be failed. When the verification result is passed, the preset simulation model of the same series of new energy units is obtained by adjusting the parameters of the new energy units based on the simulation model of the new energy units. When the verification result is unsuccessful, the model parameters or grid parameters of the new energy unit simulation model are adjusted until the verification result of the new energy unit simulation model is successful.

13. The simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The step of generating the first synthetic simulation data by calling a preset simulation model of the same series of new energy units based on the first synthetic source data includes: The first synthetic source data is injected into a preset simulation model of the same series of new energy units to obtain instantaneous simulation data of three-phase voltage and three-phase current at the grid connection point of the new energy unit. After preprocessing, the data is supplemented to generate the first synthetic simulation data. The preprocessing includes: amplitude fine-tuning, phase fine-tuning, timing fine-tuning, windowing, supplementation and merging. The time length of the first synthetic simulation data is not less than 600s.

14. The simulation and evaluation system for flicker characteristics at the grid connection point of a new energy unit according to claim 1, characterized in that, The first synthetic simulation data P CPF and stated P CPF The ratio is used to obtain the conversion of the same series of new energy units. P CPF And based on the conversion of the same series of new energy units P CPF The simulation evaluation results of the flicker characteristics at the grid connection point of the new energy unit include: The first synthetic simulation data P CPF With the P CPF Multiply by the ratio to obtain the conversion of the same series of new energy units. P CPF ; Based on the conversion of the same series of new energy units P CPF The flicker characteristic values ​​of the same series of new energy units were calculated based on the flicker calculation method, and used as the simulation evaluation results of the flicker characteristics at the grid connection point of the new energy units.

15. A computer 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, it implements the steps of the simulation evaluation method for flicker characteristics at the grid connection point of a new energy unit as described in any one of claims 1 to 7.

16. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the simulation evaluation method for flicker characteristics at the grid connection point of the new energy unit as described in any one of claims 1 to 7.

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