New energy station fast frequency response network access test system and method

Abstract

The embodiment of the invention provides a fast frequency response network access test system and method for a new energy station. The system comprises a new energy station master device; the fast frequency response equipment is connected with the new energy station main equipment, comprises a frequency measurement unit and is used for monitoring a frequency signal of a grid-connected point in real time and generating frequency measurement data; the frequency signal generation equipment is used for generating a frequency simulation signal so as to simulate frequency step disturbance or actual power grid frequency disturbance; the data recording analyzer is used for recording measurement data and executing data analysis so as to complete a frequency step disturbance test, a simulation actual power grid frequency disturbance test, anti-disturbance performance verification and an AGC coordination test; wherein the system injects a frequency analog signal through the frequency signal generating device, and evaluates the frequency response characteristic of the new energy station through the fast frequency response device and the data recording analyzer, so that the accuracy and reliability of the test are improved, and a complete technical guarantee is provided for the fast frequency response capability of the new energy station.

Description

Technical Field

[0001] This application relates to the field of power system automation technology, and in particular to a fast frequency response grid connection test system and method for new energy power plants. Background Technology

[0002] With the continuous expansion of new energy power generation scale such as wind power and photovoltaics, the penetration rate of new energy in the power system is constantly increasing. Traditional power systems rely on the rotational inertia of synchronous generators to maintain frequency stability, while new energy units are connected to the grid through power electronic equipment. Their inertial response characteristics are significantly different from those of traditional synchronous units, resulting in a decrease in system frequency regulation capability and an increasingly prominent frequency stability problem.

[0003] To ensure the safe and stable operation of the power grid, power grid companies require renewable energy power plants to possess rapid frequency response capabilities, enabling them to quickly adjust active power output when grid frequency fluctuates. Therefore, renewable energy power plants must pass rigorous rapid frequency response grid connection tests before being connected to the grid. However, existing testing methods have significant shortcomings: on the one hand, traditional testing methods often employ simple step disturbance tests, which cannot realistically simulate the complex dynamic frequency changes in the actual power grid; on the other hand, testing systems often lack high-precision frequency simulation generators and comprehensive performance analysis platforms, making it difficult to comprehensively and accurately evaluate the frequency response characteristics of renewable energy power plants.

[0004] The current testing system has the following shortcomings: First, the testing scenario is limited and cannot effectively simulate the complex frequency disturbances in the actual operation of the power grid; second, it lacks a systematic evaluation system, making it difficult to comprehensively evaluate key indicators such as response speed, regulation accuracy, and stability at the same time; third, the testing process has a low degree of automation, relies on manual operation, and has poor testing efficiency and repeatability; and fourth, existing equipment is unable to achieve high-precision frequency signal simulation and data acquisition and analysis, affecting the reliability of the test results. Summary of the Invention

[0005] In view of this, embodiments of this application provide a fast frequency response grid access testing system and method for new energy power stations. One or more embodiments of this application also relate to a computing device, a computer-readable storage medium, and a computer program to address the technical deficiencies existing in the prior art.

[0006] In a first aspect, embodiments of this application provide a fast frequency response grid access testing system for new energy power stations, comprising: The main equipment of the new energy power station is connected to the external power grid through a grid connection point, which is equipped with a transformer, current transformer and voltage transformer; A fast frequency response device, connected to the main equipment of the new energy power station, includes a frequency measurement unit for real-time monitoring of the frequency signal at the grid connection point and generating frequency measurement data; A frequency signal generating device, connected to the fast frequency response device and the data recording and analysis instrument, is used to generate frequency analog signals to simulate frequency step disturbances or actual power grid frequency disturbances. The data recording and analysis instrument is connected to the fast frequency response device and the frequency signal generating device to record measurement data and perform data analysis in order to complete frequency step disturbance test, simulate actual power grid frequency disturbance test, anti-disturbance performance verification and AGC coordination test. The system injects a frequency analog signal through the frequency signal generator and evaluates the frequency response characteristics of the new energy power station through the fast frequency response device and the data recording and analysis instrument.

[0007] In one possible implementation, the frequency step disturbance test includes: The frequency signal generating device generates a frequency step signal. ; in, This represents the frequency signal at time t. For the rated frequency, The amplitude of the frequency step. The unit step function represents the time interval [time]. A step change occurs at that time; The data recording and analysis instrument records the power response of the new energy power station based on the frequency step signal and calculates the response time, which is the time required from the frequency deviation exceeding the dead zone threshold to the power adjustment reaching 90% of the target value.

[0008] In one possible implementation, the simulated real-world power grid frequency disturbance test includes: The frequency signal generating device generates an analog frequency signal based on historical power grid frequency data, wherein the calculation formula for the analog frequency signal is: in, For analog frequency signals, As the reference frequency, Let i be the amplitude of the i-th frequency component. Let i be the frequency of the i-th frequency component. Let be the phase angle of the i-th frequency component. For random noise, n represents the fluctuations in a real power grid, where n is the number of frequency components. The data recording and analysis instrument compares the analog frequency signal with the actual frequency response of the new energy power station to evaluate the frequency tracking performance.

[0009] In one possible implementation, the anti-disturbance performance verification includes: The data logging analyzer calculates the stability margin of the system, and the formula for calculating the stability margin is: in, For stability margin, This is the Laplace transform of the power adjustment. For the Laplace transform of the frequency deviation, This represents the maximum amplitude of the transfer function within the frequency range; The stability margin is used to evaluate the system's anti-interference capability under frequency disturbances.

[0010] In one possible implementation, the AGC coordination test includes: The fast frequency response device generates a power adjustment command signal, and the calculation formula for the power adjustment command signal is as follows: in, This is a power adjustment command. For frequency deviation, For proportional gain, For integral gain, This is the differential gain; The data recording and analysis instrument verifies the coordination between the power adjustment command and the AGC system to ensure smooth power output without overshoot.

[0011] In one possible implementation, the frequency measurement unit includes inductance signal and voltage signal inputs for high-precision frequency measurement and outputs a digital frequency signal to the data recording and analysis instrument.

[0012] In one possible implementation, the data logging and analysis instrument further includes a communication interface for exchanging data with an external power grid monitoring system to enable remote testing and monitoring.

[0013] In one possible implementation, the frequency signal generating device is configured to generate multiple frequency perturbation patterns, including step, ramp, and sinusoidal fluctuations, to cover different test scenarios.

[0014] In one possible implementation, the system further includes a calibration module for periodically calibrating the frequency measurement unit and the frequency signal generating device.

[0015] Secondly, embodiments of this application provide a method for testing the fast frequency response of new energy power stations for grid access, applied to the fast frequency response grid access testing system for new energy power stations provided in the first aspect, including: Frequency analog signals are generated by frequency signal generating equipment to simulate frequency step disturbances or actual power grid frequency disturbances. The frequency signal at the grid connection point is monitored in real time by the frequency measurement unit of the fast frequency response device, and frequency measurement data is generated. The measurement data is recorded and analyzed by a data logger and analyzer to conduct frequency step disturbance tests, simulated actual power grid frequency disturbance tests, anti-disturbance performance verification, and AGC coordination tests. Among these methods, the rapid frequency response capability was verified by injecting frequency simulation signals and evaluating the frequency response characteristics of new energy power stations.

[0016] Thirdly, embodiments of this application provide a computing device, including: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned fast frequency response grid access test method for new energy power stations are implemented.

[0017] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the above-described method for testing the rapid frequency response of new energy power stations for grid access.

[0018] Fifthly, this application provides a computer program in which, when the computer program is executed in a computer, the computer is instructed to perform the steps of the above-described method for testing the fast frequency response of new energy power stations for grid access.

[0019] The technical solution provided in this application achieves comprehensive evaluation by constructing a complete fast frequency response test platform for new energy power plants. The frequency signal generator first generates test signals containing step disturbances and simulated actual grid frequencies. These signals are injected into the new energy power plant system through the grid connection point. The frequency measurement unit in the fast frequency response system collects voltage and current signals from the grid connection point in real time, accurately measuring frequency changes. The data recording and analysis instrument simultaneously records the command signals output by the frequency signal generator and the response data of the fast frequency response system. Professional algorithms analyze the power plant's power regulation response characteristics under frequency disturbances, including key indicators such as response time, regulation accuracy, and stability. This technical solution can simulate various grid frequency disturbance conditions, realizing a complete set of test items including frequency step disturbance tests, simulated actual grid frequency disturbance tests, disturbance prevention performance verification, and AGC coordination tests. It effectively solves the technical problems of traditional test methods, such as limited scenarios and incomplete evaluation, significantly improving the accuracy and reliability of the tests and providing complete technical support for the evaluation of the fast frequency response capabilities of new energy power plants. Attached Figure Description

[0020] Figure 1 This illustration shows a scenario diagram of a fast frequency response grid access test system for a new energy power station according to an embodiment of this application; Figure 2 This is a schematic diagram of the structure of a fast frequency response grid access test system for new energy power stations provided in one embodiment of this application; Figure 3 This is a flowchart of a fast frequency response grid access test method for new energy power stations provided in one embodiment of this application; Figure 4 This is a structural block diagram of a computing device provided in one embodiment of this application. Detailed Implementation

[0021] Many specific details are set forth in the following description to provide a full understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this application; therefore, this application is not limited to the specific embodiments disclosed below.

[0022] The terminology used in one or more embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the scope of one or more embodiments of this application. The singular forms “a” and “the” as used in one or more embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this application refers to and includes any or all possible combinations of one or more associated listed items.

[0023] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this application, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0024] This application provides a fast frequency response grid access test system and method for new energy power stations. This application also relates to a computing device and a computer-readable storage medium, which will be described in detail in the following embodiments.

[0025] See Figure 1 , Figure 1 A schematic diagram of a scenario for a fast frequency response grid access test system for a new energy power station according to an embodiment of this application is shown.

[0026] exist Figure 1 In this application scenario, the main equipment of the new energy power station is connected to the external power grid through a grid connection point. A transformer is configured at the grid connection point to achieve voltage transformation, and current transformers (CTs) and voltage transformers (PTs) are used to collect current and voltage signals, respectively. The frequency measurement unit of the fast frequency response system receives the analog signals from the CTs / PTs and monitors the grid frequency in real time. The frequency signal generator generates frequency step signals or simulates grid disturbances as needed, and injects them into the test system. The data recording and analysis instrument records all measurement data and performs comprehensive analysis. In this scenario, firstly, the frequency signal generator generates the corresponding frequency disturbance signal according to the test item (frequency step disturbance test or simulated actual power grid frequency disturbance test); then, the frequency measurement unit of the fast frequency response system monitors the frequency change at the grid connection point in real time and transmits the frequency measurement data to the data recording and analysis instrument; next, the data recording and analysis instrument synchronously records the command signal output by the frequency signal generator and the power response data of the new energy power station; finally, through professional algorithm analysis of key indicators such as response time, adjustment accuracy, and stability, the test items such as anti-disturbance performance verification and AGC coordination test are completed to comprehensively evaluate the fast frequency response capability of the new energy power station.

[0027] Figure 2 This is a schematic diagram of the structure of a fast frequency response grid access test system for a new energy power station provided in one embodiment of this application.

[0028] Reference Figure 2 As shown, the fast frequency response grid access test system for new energy power stations may include: The main equipment 201 of the new energy power station is connected to the external power grid through a grid connection point, which is equipped with a transformer, a current transformer and a voltage transformer. The fast frequency response device 202 is connected to the main equipment of the new energy power station and includes a frequency measurement unit for real-time monitoring of the frequency signal at the grid connection point and generating frequency measurement data. The frequency signal generating device 203 is connected to the fast frequency response device and the data recording and analysis instrument, and is used to generate frequency analog signals to simulate frequency step disturbances or actual power grid frequency disturbances. The data recording and analysis instrument 204 is connected to the fast frequency response device and the frequency signal generating device, and is used to record measurement data and perform data analysis to complete frequency step disturbance test, simulate actual power grid frequency disturbance test, anti-disturbance performance verification and AGC coordination test; The system injects a frequency analog signal through the frequency signal generator and evaluates the frequency response characteristics of the new energy power station through the fast frequency response device and the data recording and analysis instrument.

[0029] In some embodiments, the main equipment of the renewable energy power station is electrically connected to the external power grid through a grid connection point. The key equipment configured at the grid connection point constitutes a complete energy transmission and signal monitoring channel. The transformer performs voltage level conversion, boosting the voltage of the electricity generated by the renewable energy power station to the voltage level required by the power grid. The current transformer (CT) collects the current signal at the grid connection point in real time, accurately measuring the current changes in the circuit. The voltage transformer (PT) synchronously monitors the voltage amplitude at the grid connection point, providing accurate voltage parameters for the system. These three key components together form the signal sensing foundation of the test system, ensuring not only a safe and reliable connection between the renewable energy power station and the power grid, but more importantly, providing accurate raw current and voltage data for subsequent frequency response testing. This configuration enables the test system to realistically simulate actual operating conditions, accurately capture the dynamic response characteristics of the renewable energy power station during frequency disturbances, and provide reliable data support for evaluating its rapid frequency response performance.

[0030] In some embodiments, the fast frequency response device achieves accurate monitoring and data analysis of the frequency signal at the grid connection point through a frequency measurement unit. This frequency measurement unit employs a multi-level processing architecture: firstly, it acquires the raw signals transmitted from the current transformer and voltage transformer in real time through hardware acquisition circuitry; then, it undergoes filtering and amplification processing by a signal conditioning module; the core processing unit, based on phase-locked loop (PLL) technology and Fast Fourier Transform (FFT) algorithm, accurately extracts the fundamental frequency component from the pre-processed signal and calculates the instantaneous frequency value and its rate of change; finally, the data conversion module converts the analog frequency signal into a digital quantity, generating a frequency measurement data stream containing timestamps. This design enables the system to continuously monitor dynamic frequency changes with millisecond-level response speed, accurately capturing transient characteristics during frequency disturbances, providing high-precision and high-reliability data support for subsequent frequency step tests, disturbance prevention verification, and other testing projects, effectively ensuring the accuracy and timeliness of frequency response characteristic evaluation for new energy power plants.

[0031] In some embodiments, the frequency signal generator serves as the excitation source for the test system, employing high-precision digital signal processing technology to generate analog frequency signals that meet test requirements. This device incorporates multiple programmable disturbance modes, capable of generating standard frequency step signals to test the system's rapid response capability, and also reproducing real frequency disturbance scenarios based on historical grid data. Its core consists of a digital signal processor (DSP) and a high-speed digital-to-analog converter (DAC), generating a composite frequency signal containing fundamental and harmonic components through algorithms, which is then amplified by a power amplifier circuit to output an analog signal conforming to the grid connection point voltage level. The device synchronously operates with the fast frequency response device via a communication interface, ensuring the timing consistency between test signal injection and frequency measurement; simultaneously, it transmits the generated command signal to a data recording and analysis instrument in real time, providing a benchmark reference for subsequent performance analysis. This design enables the test system to accurately simulate various grid frequency disturbance conditions, comprehensively verifying the frequency response characteristics of new energy power plants under different disturbance conditions, significantly improving the accuracy and practicality of the test.

[0032] In some embodiments, the data logging and analysis instrument serves as the core analysis unit of the test system, employing multi-channel synchronous acquisition technology to construct a complete data processing system. This device establishes real-time communication with fast frequency response devices and frequency signal generators via a high-speed data interface, synchronously recording frequency analog signals, frequency measurement data, and power response characteristics to form a complete test dataset with precise timestamps. Its built-in professional analysis software, developed based on IEEE standards, automatically identifies key parameters in the frequency disturbance process through feature extraction algorithms, including performance indicators such as response delay time, regulation accuracy, and overshoot. In frequency step disturbance tests, the system automatically calculates the response time of the power station from frequency exceeding limits to power regulation reaching the target. In simulated actual power grid frequency disturbance tests, the frequency tracking capability of the power station is evaluated by comparing the dynamic characteristic curves of measured data and simulated signals. In the anti-disturbance performance verification stage, frequency domain analysis is used to verify the system's stability margin. In AGC coordination tests, multivariate correlation analysis is used to ensure the coordination between power regulation commands and the AGC system. This integrated data analysis platform enables automated evaluation of the testing process, significantly improving testing efficiency and result reliability, and providing a complete technical basis for the certification of rapid frequency response capabilities of new energy power plants.

[0033] In some embodiments, the frequency step disturbance test includes: The frequency signal generating device generates a frequency step signal. ; in, This represents the frequency signal at time t. For the rated frequency, The amplitude of the frequency step. The unit step function represents the time interval [time]. A step change occurs at that time; The data recording and analysis instrument records the power response of the new energy power station based on the frequency step signal and calculates the response time, which is the time required from the frequency deviation exceeding the dead zone threshold to the power adjustment reaching 90% of the target value.

[0034] The frequency step disturbance test generates a standard frequency step signal using a frequency signal generator. ,in Set to the grid's rated frequency of 50Hz. The step amplitude was set to ±0.2Hz to ±0.5Hz according to the test requirements. Ensure accuracy Frequency abrupt changes occur constantly. During the test, the data logging and analysis instrument synchronously monitors and records the power response curve of the renewable energy power station. When a frequency deviation is detected to exceed a preset dead zone threshold (usually set to ±0.03Hz), timing begins and ends when the power station's output power adjustment ΔP reaches 90% of the target value. The time difference between these two values ​​is the actual response time of the system. This standardized testing method can accurately quantify the response speed of renewable energy power stations to frequency abrupt changes, providing a key performance indicator for evaluating their rapid frequency response capability and ensuring that the test results meet the stringent response time requirements in the power grid guidelines.

[0035] In some embodiments, the simulated real power grid frequency disturbance test includes: The frequency signal generating device generates an analog frequency signal based on historical power grid frequency data, wherein the calculation formula for the analog frequency signal is: in, For analog frequency signals, As the reference frequency, Let i be the amplitude of the i-th frequency component. Let i be the frequency of the i-th frequency component. Let be the phase angle of the i-th frequency component. For random noise, n represents the fluctuations in a real power grid, where n is the number of frequency components. The data recording and analysis instrument compares the analog frequency signal with the actual frequency response of the new energy power station to evaluate the frequency tracking performance.

[0036] This test employs composite frequency signal generation technology, based on the formula... Construct a multi-component perturbation signal: where the reference frequency Set to 50Hz, adjust the amplitude. (Typical value 0.1-0.5Hz), frequency (Range 0.1-2Hz) and phase angle These parameters can simulate complex disturbance patterns commonly found in power grids, such as low-frequency oscillations and power fluctuations; random noise term The introduction of this technology further enhances the realism of the analog signal, reproducing background noise and random interference in the actual power grid. During the test, the frequency signal generator continuously outputs the composite signal to the new energy power station control system, and the data recording and analysis instrument synchronously collects the actual power response of the power station. By comparing the degree of agreement between the theoretical frequency curve and the measured response data, the dynamic tracking performance, regulation accuracy and anti-interference capability of the power station under complex frequency environment are quantitatively evaluated, effectively verifying its adaptability and reliability in dealing with complex disturbances in the actual power grid.

[0037] In some embodiments, the anti-disturbance performance verification includes: The data logging analyzer calculates the stability margin of the system, and the formula for calculating the stability margin is: in, For stability margin, This is the Laplace transform of the power adjustment. For the Laplace transform of the frequency deviation, This represents the maximum amplitude of the transfer function within the frequency range; The stability margin is used to evaluate the system's anti-interference capability under frequency disturbances.

[0038] This test is based on the stability margin calculation formula. Constructing an evaluation system: First, obtain the frequency deviation through frequency sweep testing. With power adjustment The transfer function is calculated by scanning the amplitude-frequency response within the 0.1-10Hz frequency range; then, the maximum amplitude of the transfer function is identified, and its reciprocal is the stability margin. This parameter characterizes the stability boundary of the system under frequency perturbations; a higher value indicates a better stability. The values ​​indicate that the system has sufficient stability reserves to effectively suppress power oscillations caused by frequency fluctuations. During the test, the data recording and analysis instrument automatically completes the entire process of frequency response characteristic testing, transfer function fitting, and stability margin calculation. Through quantitative indicators, it accurately evaluates the ability of new energy power plants to maintain stable operation under various disturbance conditions, ensuring that their frequency response characteristics will not have a negative impact on grid stability, and providing key technical support for the safe grid connection of new energy power plants.

[0039] In some embodiments, the AGC coordination test includes: The fast frequency response device generates a power adjustment command signal, and the calculation formula for the power adjustment command signal is as follows: in, This is a power adjustment command. For frequency deviation, For proportional gain, For integral gain, This is the differential gain; The data recording and analysis instrument verifies the coordination between the power adjustment command and the AGC system to ensure smooth power output without overshoot. The AGC coordination test achieves precise control of power regulation at new energy power plants through advanced control algorithms. This test is based on a classic PID control architecture and uses the formula... Generate power adjustment instructions: The proportional term... Provides rapid response capabilities, ensuring the system reacts instantly to frequency deviations; integral term Eliminate steady-state error to achieve error-free frequency adjustment; differential term This system predicts frequency change trends and effectively suppresses overshoot. During the test, the fast frequency response system calculates and outputs power commands in real time, while the data recording and analysis instrument synchronously monitors the actual response of the AGC system. By comparing the command signals with the execution results, the synchronization and coordination of power regulation are verified. This test ensures that new energy power plants can achieve stable and accurate active power regulation under frequency disturbance conditions, avoiding secondary impacts on the power grid caused by sudden power changes. It also ensures the coordinated operation of the AGC system and the fast frequency response function, comprehensively improving the grid support capability of new energy power plants.

[0040] In some embodiments, the frequency measurement unit includes inductance signal and voltage signal inputs for high-precision frequency measurement and outputs a digital frequency signal to the data recording and analysis instrument. Specifically, the frequency measurement unit employs multi-signal fusion technology to achieve high-precision frequency measurement. This unit constructs dual measurement channels by receiving inductance signals from a current transformer and voltage signals from a voltage transformer in parallel: the inductance signal channel detects frequency dynamics based on current phase changes, while the voltage signal channel acquires fundamental frequency information through voltage zero-crossing detection. After preprocessing, the signals from both channels are comprehensively processed by a digital signal processor using a weighted fusion algorithm, effectively overcoming measurement errors caused by a single signal source in harmonic interference or transient processes. The processed signal is converted into a digital signal by a high-precision ADC module, ultimately outputting frequency measurement data with millisecond-level timestamps. This dual-channel redundancy design significantly improves the reliability and accuracy of frequency measurement, providing reliable frequency sensing data for a fast frequency response system, ensuring a measurement accuracy of ±0.001Hz even under complex power grid conditions, and laying a solid data foundation for subsequent frequency response performance evaluation.

[0041] In some embodiments, the data logging and analysis instrument also includes a communication interface for exchanging data with an external power grid monitoring system, enabling remote testing and monitoring. Specifically, the data logging and analysis instrument achieves deep data fusion with the external power grid monitoring system by constructing a multi-protocol compatible communication interface system. This communication interface adopts a layered architecture design, with the bottom layer supporting standard power communication protocols such as IEC 61850 and Modbus TCP, the middle layer establishing a data mapping and conversion mechanism, and the upper layer providing a RESTful API for cross-system data interaction. During testing, the analyzer actively uploads real-time collected frequency response data, power regulation curves, and performance evaluation results to the power grid dispatch center through the communication interface, while simultaneously receiving control commands and test parameters from the AGC system or the power grid monitoring platform. This bidirectional data exchange mechanism transforms the testing system from an information silo into a deeply integrated part of the power grid monitoring system, supporting advanced functions such as remotely starting the test process, real-time monitoring of the test progress, and automatic generation of test reports. Seamless integration with the main station system through standardized interfaces significantly improves the automation level and data sharing capabilities of the testing process, providing direct and reliable data support for the frequency response characteristics of new energy power plants for the power grid dispatch department.

[0042] In some embodiments, the frequency signal generating device is configured to generate multiple frequency disturbance modes, including step, ramp, and sinusoidal oscillation modes. Specifically, the frequency signal generating device adopts a programmable multi-mode disturbance generation architecture, possessing the ability to freely configure three basic disturbance modes: step, ramp, and sinusoidal oscillation. In step mode, the device can generate abrupt frequency signals with an amplitude range of ±1.0 Hz and a response time of less than 10 ms, used to test the system's fast response characteristics; in ramp mode, it supports linear frequency changes with an adjustable slope (0.1-2.0 Hz / s), simulating the actual scenario of slow fluctuations in grid load; the sinusoidal oscillation mode can generate periodic oscillation signals with an amplitude of 0.05-0.5 Hz and a frequency of 0.01-5 Hz, used to evaluate the system's ability to suppress frequency oscillations. These three basic modes can be combined in a timing sequence to form composite disturbance scenarios, such as a mixed disturbance of step followed by sinusoidal oscillation, effectively simulating the entire frequency recovery process after grid fault clearance. This multi-mode design enables the test system to cover various frequency disturbance conditions that new energy power plants may face, significantly improving the comprehensiveness and practicality of the test, and providing a complete technical means for accurately evaluating the adaptability of fast frequency response systems in different dynamic processes.

[0043] In some embodiments, the system further includes a calibration module for periodically calibrating the frequency measurement unit and the frequency signal generating device. Specifically, the calibration module constructs a fully automated closed-loop verification system, employing a high-precision reference source and an adaptive compensation algorithm to achieve periodic calibration of the test equipment. This module incorporates a metrologically certified reference frequency source (accuracy up to ±0.0005Hz) and a standard power source, which are periodically connected to the signal channels of the frequency measurement unit and the frequency signal generating device via a multiplexing device. During calibration, the calibration module first injects a standard signal of known frequency into the frequency measurement unit, automatically generates amplitude-phase composite compensation coefficients by comparing the deviation between the measured value and the reference value; simultaneously, it acquires the characteristic parameters of the output signal of the frequency signal generating device, fits its nonlinear characteristics using the least squares method, and updates the output correction model. The system supports both preset periodic calibration (e.g., 24 hours / time) and real-time triggered calibration modes, automatically recording the error trend curve during calibration and immediately issuing an alarm when the device performance drift exceeds a threshold. This closed-loop calibration mechanism effectively ensures that the frequency measurement accuracy is maintained within ±0.002Hz over a long period of time, and the signal output distortion is less than 0.1%. It ensures the accuracy and traceability of fast frequency response test data from the source and solves the problem of measurement error accumulation caused by equipment drift in traditional test systems.

[0044] See Figure 3 , Figure 3 A flowchart of a fast frequency response grid access test method for new energy power stations according to an embodiment of this application is shown. The method is applied to the fast frequency response grid access test system for new energy power stations provided in any embodiment of this application. The method specifically includes the following steps.

[0045] Step 301: Generate a frequency analog signal using a frequency signal generating device to simulate frequency step disturbances or actual power grid frequency disturbances.

[0046] Step 302: Monitor the frequency signal at the grid connection point in real time through the frequency measurement unit of the fast frequency response device and generate frequency measurement data.

[0047] Step 303: Record measurement data and perform data analysis using a data logging and analysis instrument, and conduct frequency step disturbance test, simulated actual power grid frequency disturbance test, disturbance prevention performance verification and AGC coordination test.

[0048] Among these methods, the rapid frequency response capability was verified by injecting frequency simulation signals and evaluating the frequency response characteristics of new energy power stations.

[0049] In one possible implementation, the frequency step disturbance test includes: The frequency signal generating device generates a frequency step signal. ; in, This represents the frequency signal at time t. For the rated frequency, The amplitude of the frequency step. The unit step function represents the time interval [time]. A step change occurs at that time; The data recording and analysis instrument records the power response of the new energy power station based on the frequency step signal and calculates the response time, which is the time required from the frequency deviation exceeding the dead zone threshold to the power adjustment reaching 90% of the target value.

[0050] In one possible implementation, the simulated real-world power grid frequency disturbance test includes: The frequency signal generating device generates an analog frequency signal based on historical power grid frequency data, wherein the calculation formula for the analog frequency signal is: in, For analog frequency signals, As the reference frequency, Let i be the amplitude of the i-th frequency component. Let i be the frequency of the i-th frequency component. Let be the phase angle of the i-th frequency component. For random noise, n represents the fluctuations in a real power grid, where n is the number of frequency components. The data recording and analysis instrument compares the analog frequency signal with the actual frequency response of the new energy power station to evaluate the frequency tracking performance.

[0051] In one possible implementation, the anti-disturbance performance verification includes: The data logging analyzer calculates the stability margin of the system, and the formula for calculating the stability margin is: in, For stability margin, This is the Laplace transform of the power adjustment. For the Laplace transform of the frequency deviation, This represents the maximum amplitude of the transfer function within the frequency range; The stability margin is used to evaluate the system's anti-interference capability under frequency disturbances.

[0052] In one possible implementation, the AGC coordination test includes: The fast frequency response device generates a power adjustment command signal, and the calculation formula for the power adjustment command signal is as follows: in, This is a power adjustment command. For frequency deviation, For proportional gain, For integral gain, This is the differential gain; The data recording and analysis instrument verifies the coordination between the power adjustment command and the AGC system to ensure smooth power output without overshoot.

[0053] In one possible implementation, the frequency measurement unit includes inductance signal and voltage signal inputs for high-precision frequency measurement and outputs a digital frequency signal to the data recording and analysis instrument.

[0054] In one possible implementation, the data logging and analysis instrument further includes a communication interface for exchanging data with an external power grid monitoring system to enable remote testing and monitoring.

[0055] In one possible implementation, the frequency signal generating device is configured to generate multiple frequency perturbation patterns, including step, ramp, and sinusoidal fluctuations, to cover different test scenarios.

[0056] Figure 4 A structural block diagram of a computing device 400 according to an embodiment of this application is shown. The components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. The processor 420 is connected to the memory 410 via a bus 430, and a database 450 is used to store data.

[0057] The computing device 400 also includes an access device 440, which enables the computing device 400 to communicate via one or more networks 460. Examples of these networks include Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or combinations of communication networks such as the Internet. The access device 440 may include one or more of any type of wired or wireless network interface (e.g., a network interface card (NIC)), such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, a Wi-MAX (Worldwide Interoperability for Microwave Access) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, or a Near Field Communication (NFC) interface.

[0058] In one embodiment of this application, the aforementioned components of the computing device 400 and Figure 4 Other components, not shown, can also be connected to each other, for example, via a bus. It should be understood that... Figure 4 The block diagram of the computing device shown is for illustrative purposes only and is not intended to limit the scope of this application. Those skilled in the art can add or replace other components as needed.

[0059] The computing device 400 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or personal computers (PCs). The computing device 400 can also be a mobile or stationary server.

[0060] The processor 420 executes the following computer-executable instructions, which, when executed by the processor, implement the steps of the above-described method for testing the fast frequency response of new energy power stations. The above is an illustrative scheme of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the above-described method for testing the fast frequency response of new energy power stations belong to the same concept. Details not described in detail in the technical solution of the computing device can be found in the description of the technical solution of the above-described method for testing the fast frequency response of new energy power stations.

[0061] An embodiment of this application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-described method for testing the fast frequency response of new energy power stations for grid access.

[0062] The above is an illustrative scheme of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium belongs to the same concept as the technical solution of the above-described method for testing the fast frequency response of new energy power stations. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the above-described method for testing the fast frequency response of new energy power stations.

[0063] An embodiment of this application also provides a computer program, wherein when the computer program is executed in a computer, the computer is instructed to perform the steps of the above-described method for testing the fast frequency response of new energy power stations for grid access.

[0064] The above is an illustrative scheme of a computer program according to this embodiment. It should be noted that the technical solution of this computer program and the technical solution of the above-described method for testing the fast frequency response of new energy power stations belong to the same concept. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the above-described method for testing the fast frequency response of new energy power stations.

[0065] The foregoing has described specific embodiments of this application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0066] The computer instructions include computer program code, which may be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium may be appropriately added to or subtracted according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0067] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of this application are not limited to the described order of actions, because according to the embodiments of this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments of this application.

[0068] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0069] The preferred embodiments disclosed above are merely illustrative of this application. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the embodiments of this application. These embodiments are selected and specifically described in this application to better explain the principles and practical applications of the embodiments of this application, thereby enabling those skilled in the art to better understand and utilize this application. This application is limited only by the claims and their full scope and equivalents.

Claims

1. A fast frequency response grid access test system for new energy power stations, characterized in that, include: The main equipment of the new energy power station is connected to the external power grid through a grid connection point, which is equipped with a transformer, current transformer and voltage transformer; A fast frequency response device, connected to the main equipment of the new energy power station, includes a frequency measurement unit for real-time monitoring of the frequency signal at the grid connection point and generating frequency measurement data; A frequency signal generating device, connected to the fast frequency response device and the data recording and analysis instrument, is used to generate frequency analog signals to simulate frequency step disturbances or actual power grid frequency disturbances. The data recording and analysis instrument is connected to the fast frequency response device and the frequency signal generating device to record measurement data and perform data analysis in order to complete frequency step disturbance test, simulate actual power grid frequency disturbance test, anti-disturbance performance verification and AGC coordination test. The system injects a frequency analog signal through the frequency signal generator and evaluates the frequency response characteristics of the new energy power station through the fast frequency response device and the data recording and analysis instrument.

2. The method according to claim 1, characterized in that, The frequency step disturbance test includes: The frequency signal generating device generates a frequency step signal. ; in, This represents the frequency signal at time t. For the rated frequency, The amplitude of the frequency step. The unit step function represents the time interval [time]. A step change occurs at that time; The data recording and analysis instrument records the power response of the new energy power station based on the frequency step signal and calculates the response time, which is the time required from the frequency deviation exceeding the dead zone threshold to the power adjustment reaching 90% of the target value.

3. The method according to claim 1, characterized in that, The simulated actual power grid frequency disturbance test includes: The frequency signal generating device generates an analog frequency signal based on historical power grid frequency data, wherein the calculation formula for the analog frequency signal is: in, For analog frequency signals, As the reference frequency, Let i be the amplitude of the i-th frequency component. Let i be the frequency of the i-th frequency component. Let be the phase angle of the i-th frequency component. For random noise, n represents the fluctuations in a real power grid, where n is the number of frequency components. The data recording and analysis instrument compares the analog frequency signal with the actual frequency response of the new energy power station to evaluate the frequency tracking performance.

4. The method according to claim 1, characterized in that, The anti-disturbance performance verification includes: The data logging analyzer calculates the stability margin of the system, and the formula for calculating the stability margin is: in, For stability margin, This is the Laplace transform of the power adjustment. For the Laplace transform of the frequency deviation, This represents the maximum amplitude of the transfer function within the frequency range; The stability margin is used to evaluate the system's anti-interference capability under frequency disturbances.

5. The method according to claim 1, characterized in that, The AGC coordination test includes: The fast frequency response device generates a power adjustment command signal, and the calculation formula for the power adjustment command signal is as follows: in, This is a power adjustment command. For frequency deviation, For proportional gain, For integral gain, This is the differential gain; The data recording and analysis instrument verifies the coordination between the power adjustment command and the AGC system to ensure smooth power output without overshoot.

6. The method according to claim 1, characterized in that, The frequency measurement unit includes inductance signal and voltage signal inputs for high-precision frequency measurement and outputs a digital frequency signal to the data recording and analysis instrument.

7. The method according to claim 1, characterized in that, The data logging and analysis instrument also includes a communication interface for exchanging data with an external power grid monitoring system to enable remote testing and monitoring.

8. The method according to claim 1, characterized in that, The frequency signal generating device is configured to generate multiple frequency perturbation modes, including step, ramp, and sinusoidal fluctuations.

9. The method according to claim 1, characterized in that, The system also includes a calibration module for periodically calibrating the frequency measurement unit and the frequency signal generating device.

10. A method for rapid frequency response grid connection testing of new energy power stations, characterized in that, The method, applied to the fast frequency response grid access test system for new energy power stations according to any one of claims 1-9, comprises: Frequency analog signals are generated by frequency signal generating equipment to simulate frequency step disturbances or actual power grid frequency disturbances. The frequency signal at the grid connection point is monitored in real time by the frequency measurement unit of the fast frequency response device, and frequency measurement data is generated. The measurement data is recorded and analyzed by a data logger and analyzer to conduct frequency step disturbance tests, simulated actual power grid frequency disturbance tests, anti-disturbance performance verification, and AGC coordination tests. Among these methods, the rapid frequency response capability was verified by injecting frequency simulation signals and evaluating the frequency response characteristics of new energy power stations.

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