Grid-related performance remote test method and system for renewable energy station

Abstract

Disclosed in the present invention is a grid-related performance remote test method and system for a renewable energy station. The method comprises: acquiring an associated sub-power grid of the renewable energy station, performing active disturbance test on the associated sub-power grid, and monitoring and analyzing a disturbance degree evaluation index of the associated sub-power grid; on the basis of the disturbance degree evaluation index of the associated sub-power grid, analyzing the disturbance degree grade of the associated sub-power grid, and performing matching to obtain a grid-related performance evaluation ideal value of the renewable energy station; and on the basis of the grid-related performance evaluation ideal value of the renewable energy station, evaluating the grid-related performance of the renewable energy station to obtain a grid-related performance evaluation result of the renewable energy station for feedback. The present invention evaluates the disturbance degree of a power grid, accurately simulates possible various power grid conditions in a grid-connection process, evaluates the response performance and the disturbance suppression performance of the renewable energy station, and comprehensively analyzes the grid-related performance of the renewable energy station, thereby being conducive to maintaining the stability of the power grid.

Description

A remote testing method and system for network-related performance of new energy stations Technical Field

[0001] The present invention relates to the technical field of network-related performance testing, and specifically to a method and system for remotely testing the network-related performance of a new energy station. Background Art

[0002] With the transformation of my country's energy structure, the development and utilization of renewable energy are receiving increasing attention. The large-scale grid connection of new energy stations has brought new challenges to the stability, safety and reliability of the power grid. The power generation power of new energy stations is easily affected by environmental factors, which can easily cause problems such as grid frequency fluctuations and voltage instability. In order to ensure the stability and safety of the power grid, new energy stations are required to provide auxiliary services such as rapid frequency response during the grid connection process. Therefore, a remote testing method for the grid-related performance of new energy stations is provided to evaluate the regulation response capability of new energy stations.

[0003] At present, there are still some deficiencies in the grid-related performance testing, which are specifically reflected in the following aspects: The current grid-related performance testing of new energy stations lacks a method to evaluate the degree of grid disturbances, and cannot accurately simulate possible grid conditions, making the test results lack authenticity and reliability. The current grid-related performance testing methods for new energy stations are not comprehensive enough. For example, there is a lack of methods to evaluate the response performance and disturbance suppression performance of new energy stations. Failure to accurately evaluate the response performance of new energy stations may cause the stations to respond untimely or improperly to grid disturbances, thereby affecting the stability of the grid. The lack of evaluation of the disturbance suppression effect may cause new energy stations to be unable to effectively respond to and suppress grid disturbances during or after grid connection, increasing the risk of grid failure. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing network-related performance testing methods have problems such as lack of authenticity and reliability, poor stability and high risk of failure.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for remotely testing network-related performance of a new energy station, comprising:

[0007] Obtain the associated subgrids of the new energy station, conduct active disturbance tests on the associated subgrids, and monitor and analyze the disturbance degree assessment index of the associated subgrids;

[0008] According to the disturbance degree evaluation index of the associated sub-grid, and by analyzing the disturbance degree level of the associated sub-grid, an ideal value of the grid-related performance evaluation of the new energy station is obtained;

[0009] Based on the ideal value of the grid-related performance evaluation of the new energy station, the grid-related performance of the new energy station is evaluated, and the evaluation results of the grid-related performance of the new energy station are fed back.

[0010] As a preferred solution of the remote testing method for the network-related performance of the new energy station described in the present invention, wherein: the analysis of the disturbance degree evaluation index of the associated sub-grid includes: performing an active disturbance test on the associated sub-grid, collecting the operating parameters of the associated sub-grid, and collecting the environmental parameters of the new energy station at the same time; according to the operating parameters of the associated sub-grid, including the active disturbance test harmonic content and the active disturbance test frequency of the associated sub-grid, at the same time extracting the reference harmonic content and the reference grid frequency from the power grid database, analyzing and processing to obtain the abnormal evaluation index of the associated sub-grid operating parameters; according to the environmental parameters of the new energy station, including the wind speed and light intensity of each environmental monitoring point, and obtaining the reference station wind speed and reference station light intensity corresponding to the standard output power from the power grid database, analyzing and processing to obtain the environmental interference value of the new energy station;

[0011] A comprehensive analysis is conducted on the grid operation parameters and the environmental parameters of the new energy stations to obtain the disturbance degree assessment index of the associated sub-grid.

[0012] As a preferred solution of the remote testing method for network-related performance of a new energy station according to the present invention, the disturbance degree evaluation index of the associated sub-grid is calculated as follows:

[0013]

[0014] in, represents the disturbance degree assessment index of the associated subgrid, represents a natural constant, Indicates the abnormal evaluation index of the associated sub-grid operating parameters. Indicates the grid disturbance level impact factor corresponding to the set new energy station environmental interference value;

[0015]

[0016] in, represents the abnormal evaluation index of the associated sub-grid operating parameters, Indicates the harmonic content of the active disturbance test of the associated subgrid, represents the active disturbance test frequency of the associated subgrid, represents the reference harmonic content, Indicates the reference grid frequency, Indicates the set defined grid frequency deviation;

[0017]

[0018] in, Indicates the degree of environmental interference; Indicates the Wind speed at each environmental monitoring point; Indicates the Light intensity at each environmental monitoring point; Indicates the reference station wind speed corresponding to the standard output power; Indicates the reference station light intensity corresponding to the standard output power; Indicates the set limit wind speed deviation value; Indicates the set light intensity deviation value; Indicates the environmental interference impact factor corresponding to the set wind speed; Indicates the environmental interference impact factor corresponding to the set light intensity; Indicates the number of each environmental monitoring point, ; Represents the total number of environmental monitoring points.

[0019] As a preferred solution of the remote testing method for the grid-related performance of the new energy station described in the present invention, the matching to obtain the ideal value of the grid-related performance evaluation of the new energy station includes matching the disturbance degree evaluation index of the associated sub-grid with the disturbance degree evaluation index interval corresponding to various disturbance degree levels stored in the grid database to obtain the disturbance degree level of the associated sub-grid, and comparing the ideal values ​​of the grid-related performance evaluation corresponding to various disturbance degree levels stored in the grid database to obtain the ideal value of the grid-related performance evaluation of the new energy station.

[0020] As a preferred embodiment of the remote testing method for network-related performance of a new energy station according to the present invention, the network-related performance evaluation of the new energy station includes obtaining a new energy station response performance evaluation index and a new energy station disturbance suppression performance evaluation index, wherein the new energy station response performance evaluation index represents data obtained by quantitatively evaluating the response performance of the new energy station, and the new energy station disturbance suppression performance evaluation index represents data obtained by quantitatively evaluating the disturbance suppression effect of the new energy station;

[0021] A comprehensive analysis is conducted on the new energy station response performance evaluation index and the new energy station disturbance suppression performance evaluation index to obtain the new energy station network-related performance evaluation index, which is used to evaluate the comprehensive performance of the new energy station.

[0022] As a preferred solution of the remote testing method for network-related performance of a new energy station according to the present invention, the network-related performance evaluation index of the new energy station is calculated as follows:

[0023]

[0024] in, It represents the network performance evaluation index of new energy stations. Indicates the response performance evaluation index of the set new energy station, Indicates the grid-related performance impact factor corresponding to the new energy station disturbance suppression performance evaluation index;

[0025]

[0026] in, represents the response performance evaluation index of new energy stations, Indicates the response performance impact factor corresponding to the set new energy station response time evaluation value, Indicates the response performance impact factor corresponding to the set new energy station response amplitude assessment value;

[0027]

[0028] in, Indicates the response time evaluation value of the new energy station, Indicates the response time of the new energy station. Indicates the reference station response time, Indicates the set station response time correction factor;

[0029]

[0030] in, Indicates the response amplitude assessment value of the new energy station, Indicates the useful power regulation of the new energy station, Indicates the useless power regulation of the new energy station, Indicates the reference useful power adjustment amount, Indicates the reference to the amount of useless power regulation, Indicates the response amplitude influence factor corresponding to the set useful power adjustment amount, Indicates the response amplitude influence factor corresponding to the set useless power regulation amount;

[0031]

[0032] in, represents the new energy station disturbance suppression performance evaluation index, Indicates the first The grid voltage at each monitoring time point, Indicates the first The grid frequency at each monitoring time point, Indicates the first The grid voltage at each monitoring time point, Indicates the first The grid frequency at each monitoring time point, Indicates the set reference deviation voltage, Indicates the set reference deviation frequency, Indicates the disturbance suppression effect factor corresponding to the set grid voltage, Indicates the disturbance suppression effect factor corresponding to the set grid frequency.

[0033] As a preferred embodiment of the remote testing method for network-related performance of a new energy station according to the present invention, the feedback of the network-related performance evaluation result of the new energy station includes comparing the network-related performance evaluation index of the new energy station with the ideal network-related performance evaluation value of the new energy station according to the ideal network-related performance evaluation value of the new energy station;

[0034] If the network-related performance evaluation index of the new energy station is less than the ideal value of the network-related performance evaluation of the new energy station, the network-related performance evaluation result of the new energy station will be defined as demand-enhanced network-related performance; if the network-related performance evaluation index of the new energy station is greater than or equal to the ideal value of the network-related performance evaluation of the new energy station, the network-related performance evaluation result of the new energy station will be defined as high-quality network-related performance; finally, the definition result of the network-related performance evaluation result of the new energy station will be fed back.

[0035] A remote network performance testing system for a new energy station using the method of the present invention is characterized by:

[0036] The test unit obtains the associated sub-grid of the new energy station, performs active disturbance testing on the associated sub-grid, and monitors and analyzes the disturbance degree assessment index of the associated sub-grid;

[0037] An analysis unit, based on the disturbance degree evaluation index of the associated sub-grid, analyzes the disturbance degree level of the associated sub-grid and obtains an ideal value for the grid-related performance evaluation of the new energy station;

[0038] The feedback unit evaluates the network-related performance of the new energy station based on the ideal value of the network-related performance evaluation, and evaluates the network-related performance of the new energy station, and feeds back the evaluation result of the network-related performance of the new energy station.

[0039] A computer device comprises: a memory and a processor; the memory stores a computer program, wherein the processor implements the steps of any one of the methods of the present invention when executing the computer program.

[0040] A computer-readable storage medium stores a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the methods of the present invention.

[0041] Beneficial effects of the present invention: The remote testing method for the grid-related performance of a new energy station provided by the present invention evaluates the degree of grid disturbance, accurately simulates the grid conditions that may occur during the grid connection process, ensures the authenticity and reliability of the grid-related performance test results of the new energy station, and simultaneously evaluates the response performance and disturbance suppression performance of the new energy station, comprehensively analyzing the grid-related performance of the new energy station, thereby helping to maintain the stability of the grid. By analyzing the electrical parameters of the grid and the environmental factors of the new energy station, and by evaluating the degree of grid disturbance, it is possible to more accurately simulate the disturbance conditions that may occur during the grid connection process, thereby ensuring the authenticity and reliability of the grid-related performance test results of the new energy station. The response performance of the new energy station is comprehensively evaluated from two aspects: response time and response amplitude. By evaluating the response performance of the new energy station, it is possible to ensure that the station can respond quickly and accurately when a grid disturbance occurs, thereby helping to maintain the stability of the grid. The electrical parameters of the new energy station after responding to the disturbance are compared with the electrical parameters before the grid disturbance occurs to reflect the disturbance suppression effect of the new energy station response. By evaluating the disturbance suppression effect of the new energy station, it is possible to ensure that the station can effectively suppress the propagation of the disturbance when the grid disturbance occurs, thereby reducing the impact on the safety of the grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] FIG1 is an overall flow chart of a method for remotely testing network-related performance of a new energy station provided by the first embodiment of the present invention. DETAILED DESCRIPTION

[0044] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0045] Example 1

[0046] 1 , which is an embodiment of the present invention, provides a method for remotely testing network-related performance of a new energy station, including:

[0047] S1: Obtain the associated sub-grid of the new energy station, conduct active disturbance testing on the associated sub-grid, and monitor and analyze the disturbance degree assessment index of the associated sub-grid.

[0048] Obtain the associated subgrid of the new energy site, conduct active disturbance testing on the associated subgrid, and monitor and analyze the disturbance degree assessment index of the associated subgrid. The disturbance degree assessment index is obtained by comprehensively analyzing the grid operating parameters and the environmental parameters of the new energy site, and is used to quantitatively assess the grid disturbance situation.

[0049] Specifically, the disturbance degree assessment index of the associated sub-grid is analyzed. The specific analysis process is: active disturbance test is performed on the associated sub-grid, operating parameters of the associated sub-grid are collected, and environmental parameters of the new energy station are collected at the same time, and the abnormal evaluation index of the operating parameters of the associated sub-grid and the environmental interference value of the new energy station are analyzed. The abnormal evaluation index of the operating parameters of the associated sub-grid represents the data obtained by quantitatively evaluating the operating parameters of the associated sub-grid, and is used to reflect the degree of grid disturbance from the perspective of grid operating parameters. The environmental interference value of the new energy station represents the data obtained by quantitatively evaluating the environmental parameters of the new energy station, and is used to reflect the grid disturbance situation from the environmental perspective.

[0050] It is important to note that the degree of grid disturbance is reflected from the perspective of grid operating parameters. When a grid disturbance occurs, the grid operating parameters will change. The station monitors the key parameters of the grid such as voltage, current, and frequency in real time. When the grid operating parameters change suddenly, such as abnormal voltage fluctuations, sudden current changes, or frequency offsets, it indicates that the grid may have been disturbed. The greater the change in grid operating parameters, the more serious the grid disturbance. From the environmental perspective, the relationship between the environmental parameters of the new energy station and the grid disturbance is mainly reflected in the adaptability and stability of the new energy power generation unit to the grid. The output power of the new energy station is directly affected by environmental factors (such as wind speed and light intensity). These factors determine the theoretical power generation power and actual available power generation power of the new energy station. The power generation power of the new energy station will fluctuate with changes in environmental parameters. This volatility may cause disturbances to the grid and affect the stability of the grid. Especially under conditions of weak grid strength, the power fluctuations of the new energy station may aggravate the instability of the grid.

[0051] The disturbance degree evaluation index of the associated sub-grid is analyzed and calculated, and its calculation expression is:

[0052]

[0053] in, represents the disturbance degree assessment index of the associated subgrid, represents a natural constant, Indicates the abnormal evaluation index of the associated sub-grid operating parameters. Indicates the grid disturbance level impact factor corresponding to the set new energy station environmental interference value.

[0054] It should be explained that the disturbance degree assessment index in this embodiment can not only be calculated by the above calculation method, but also by establishing a mathematical model of the power grid, using power system simulation software to simulate the disturbance situation, and predicting the impact of the disturbance on the power grid. It can also be combined with artificial intelligence technologies, such as machine learning and expert systems, to analyze the power grid disturbance data and provide an assessment and prediction of the degree of disturbance.

[0055] It should be explained that in this embodiment, the disturbance degree assessment index is jointly determined by the associated sub-grid operating parameter abnormality assessment index and the new energy station environmental interference value. The associated sub-grid operating parameter abnormality assessment index and the new energy station environmental interference value are respectively multiplied by the corresponding grid disturbance degree influence factor, and the results are summed to obtain the disturbance degree assessment index. The larger the associated sub-grid operating parameter abnormality assessment index and the new energy station environmental interference value, the larger the corresponding disturbance degree assessment index. In the formula, the grid disturbance degree influence factor corresponding to the associated sub-grid operating parameter abnormality assessment index and the new energy station environmental interference value is used to improve the accuracy of the calculation results.

[0056] By providing a method for evaluating the degree of grid disturbance, the electrical parameters of the grid and the environmental factors of the new energy site are analyzed. By evaluating the degree of grid disturbance, the disturbance conditions that may occur during the grid connection process can be simulated more accurately, thereby ensuring the authenticity and reliability of the grid-related performance test results of the new energy site.

[0057] According to the operating parameters of the associated subgrid, including the active disturbance test harmonic content and active disturbance test frequency of the associated subgrid, and the reference harmonic content and reference grid frequency extracted from the power grid database, the associated subgrid operating parameter abnormality assessment index is obtained by comprehensive calculation.

[0058] It should be explained that in this embodiment, the harmonic content of the power grid is monitored by a power quality analyzer. Power grid disturbances may cause changes in the harmonic content, thereby affecting the normal operation of the load. Harmonic content is an important indicator for measuring the quality of power grid electricity. By monitoring the harmonic content, the degree of power grid disturbance can be reflected.

[0059] It should be explained that in this embodiment, the grid frequency is monitored by a wireless frequency collector. The stability of the grid frequency is an important indicator of the normal operation of the grid. Frequency fluctuations usually reflect dynamic changes in the grid. Different types of grid disturbances may have different impacts on the grid frequency. The severity of the grid disturbance can be evaluated by the size of the frequency offset.

[0060] It should be explained that the abnormality assessment index of the associated subgrid operating parameters can not only be obtained by statistically analyzing historical operating data to calculate the probability distribution, mean, standard deviation and other statistical quantities of each parameter, and using the deviation between the current monitoring value and these statistical quantities as the basis for judging the degree of abnormality, but also by applying various data analysis algorithms (such as machine learning, deep learning, etc.) and models to identify abnormal patterns of parameters. These algorithms and models can distinguish between normal and abnormal states by learning normal operating data. It can also be obtained through the following calculation method. The specific calculation expression is:

[0061]

[0062] in, represents the abnormal evaluation index of the associated sub-grid operating parameters, Indicates the harmonic content of the active disturbance test of the associated subgrid, represents the active disturbance test frequency of the associated subgrid, represents the reference harmonic content, Indicates the reference grid frequency, Indicates the set defined grid frequency deviation.

[0063] It should be explained that in the calculation formula of the abnormality assessment index of the associated sub-grid operating parameters, the degree of deviation between the harmonic content and the normal harmonic content is obtained by performing a ratio operation on the harmonic content of the active disturbance test and the reference harmonic content. The degree of deviation between the grid frequency and the normal frequency is obtained by performing an absolute value operation on the difference between the grid frequency and the reference grid frequency, and the result is ratioed with the defined grid frequency deviation. The grid operating parameter abnormality influencing factors corresponding to the equipment surface temperature and the grid frequency are introduced into the formula to improve the accuracy of the calculation results.

[0064] Based on the environmental parameters of the new energy station, including the wind speed and light intensity of each environmental monitoring point, and obtaining the reference station wind speed and reference station light intensity corresponding to the standard output power from the power grid database, the environmental interference value of the new energy station is obtained by comprehensive calculation.

[0065] It should be explained that in this embodiment, anemometers and photometers are used to monitor the wind speed and light intensity of the new energy station respectively. The new energy station mainly relies on wind energy and light energy to generate electricity. The wind speed and light intensity will directly affect the power generation power of the new energy station. In theory, the greater the wind speed and the higher the light intensity, the greater the power generation power of the new energy station. Changes in wind speed and light intensity directly affect the power generation efficiency and stability of the new energy station, and are important considerations for the dispatching and management of new energy power. Real-time monitoring of wind speed and light intensity and the adoption of corresponding technical measures and management strategies can improve the power generation efficiency of the new energy station and the stability of the power grid.

[0066] It should be explained that the environmental interference value of a new energy station can not only be obtained by using computer software to establish a mathematical model of the new energy station, combined with the specific local environmental parameters, and using simulation technology to predict the degree of environmental interference that may be generated during the operation of the station, but also by obtaining historical data on the past operation of the new energy station and analyzing the relationship between environmental factors and equipment performance, thereby evaluating the degree of environmental interference. It can also be obtained through the following calculation method. The specific calculation expression is:

[0067]

[0068] in, Indicates the degree of environmental interference; Indicates the Wind speed at each environmental monitoring point; Indicates the Light intensity at each environmental monitoring point; Indicates the reference station wind speed corresponding to the standard output power; Indicates the reference station light intensity corresponding to the standard output power; Indicates the set limit wind speed deviation value; Indicates the set light intensity deviation value; Indicates the environmental interference impact factor corresponding to the set wind speed; Indicates the environmental interference impact factor corresponding to the set light intensity; Indicates the number of each environmental monitoring point, ; Represents the total number of environmental monitoring points.

[0069] It needs to be explained that in the calculation formula of the environmental interference value of the new energy station, the wind speed and light intensity of each environmental monitoring point are respectively subjected to difference and absolute value operations with the corresponding reference standard values ​​to obtain the wind speed and light intensity v, and the wind speed and light intensity deviation values ​​are subjected to ratio operations with the corresponding defined deviation values, which can reflect the degree of deviation of the wind speed and light intensity. At the same time, the environmental interference influencing factors corresponding to the wind speed and light intensity are introduced to improve the accuracy of the calculation results. The deviation degree of each environmental monitoring point is averaged to obtain the overall environmental interference situation of the station.

[0070] S2: According to the disturbance degree evaluation index of the associated sub-grid, and by analyzing the disturbance degree level of the associated sub-grid, an ideal value of the grid-related performance evaluation of the new energy station is obtained by matching.

[0071] Furthermore, the ideal value of the grid-related performance evaluation of the new energy station is obtained by matching. The specific process is: matching the disturbance degree evaluation index of the associated sub-grid with the disturbance degree evaluation index interval corresponding to various disturbance degree levels stored in the power grid database to obtain the disturbance degree level of the associated sub-grid, and comparing the ideal value of the grid-related performance evaluation corresponding to various disturbance degree levels stored in the power grid database to obtain the ideal value of the grid-related performance evaluation of the new energy station.

[0072] The power grid database has preset disturbance severity levels, including mild, moderate, severe, and catastrophic disturbances. Different disturbance severity levels are associated with different disturbance severity assessment index intervals, and each disturbance severity level corresponds one-to-one with each disturbance severity assessment index interval. The disturbance severity assessment index of the associated subgrid is matched with the disturbance severity assessment index interval to determine whether the associated subgrid's disturbance severity assessment index falls within a certain disturbance severity assessment index interval. If so, the disturbance severity level corresponding to that disturbance severity assessment index interval is used as the disturbance severity level of the associated subgrid. If not, the matching process continues.

[0073] It should be understood that multiple ideal values ​​for grid-related performance evaluation are preset in the power grid database, and each disturbance level corresponds one-to-one to each ideal value for grid-related performance evaluation. The ideal value for grid-related performance evaluation of the associated sub-grid can be obtained based on the disturbance level of the associated sub-grid and marked as the ideal value for grid-related performance evaluation of the new energy station.

[0074] When a slight disturbance occurs in the power grid (such as a slight voltage fluctuation), the station automatically activates or adjusts the reactive compensation equipment to stabilize the voltage level; when a moderate disturbance occurs in the power grid (such as a voltage drop or frequency offset), the station needs to respond to the disturbance in the power grid by reasonably adjusting the output. Based on the above dimensions, the ideal value for the grid-related performance evaluation of new energy stations is analyzed and obtained, which serves as the basis for the subsequent evaluation of the grid-related performance of new energy stations, providing a further data basis for the evaluation of the grid-related performance of new energy stations.

[0075] S3: Evaluate the ideal value of the network-related performance of the new energy station based on the network-related performance, and provide feedback on the evaluation results of the network-related performance of the new energy station.

[0076] Specifically, the network-related performance of the new energy station is evaluated, and the specific analysis process is: obtaining the new energy station response performance evaluation index and the new energy station disturbance suppression performance evaluation index, the new energy station response performance evaluation index represents the data obtained by quantitatively evaluating the response performance of the new energy station, and the new energy station disturbance suppression performance evaluation index represents the data obtained by quantitatively evaluating the disturbance suppression effect of the new energy station.

[0077] Comprehensively calculate the grid-related performance evaluation index of new energy stations, and its calculation expression is:

[0078]

[0079] in, It represents the network performance evaluation index of new energy stations. Indicates the response performance evaluation index of the set new energy station, It represents the grid-related performance impact factor corresponding to the new energy station disturbance suppression performance evaluation index.

[0080] It should be noted that the grid-related performance evaluation index of new energy stations can not only be calculated using the above method, but also the new energy stations can be modeled using power system simulation software to simulate various grid faults and operating conditions, and analyze the response and stability of the stations under these conditions. The online monitoring system can also be used to collect real-time operating data of new energy stations, including power, voltage, current and other parameters, and evaluate their grid-related performance through data analysis.

[0081] It needs to be explained that the new energy station grid-related performance evaluation index is jointly determined by the new energy station response performance evaluation index and the new energy station disturbance suppression performance evaluation index. The new energy station response performance evaluation index and the new energy station disturbance suppression performance evaluation index are respectively multiplied with the corresponding grid-related performance influencing factors, and the results are summed to obtain the new energy station grid-related performance evaluation index. The larger the new energy station response performance evaluation index and the new energy station disturbance suppression performance evaluation index, the larger the corresponding new energy station grid-related performance evaluation index. The grid-related performance influencing factors corresponding to the new energy station response performance evaluation index and the new energy station disturbance suppression performance evaluation index are used to improve the accuracy of the calculation results.

[0082] Specifically, the network-related performance evaluation results of the new energy station are fed back, which specifically includes: according to the ideal value of the network-related performance evaluation of the new energy station, the network-related performance evaluation index of the new energy station is compared with the ideal value of the network-related performance evaluation of the new energy station; if the network-related performance evaluation index of the new energy station is less than the ideal value of the network-related performance evaluation of the new energy station, the network-related performance evaluation result of the new energy station is defined as demand-enhanced network-related performance; otherwise, the network-related performance evaluation result of the new energy station is defined as high-quality network-related performance, and the network-related performance evaluation result of the new energy station is fed back.

[0083] When the network-related performance evaluation index of a new energy station is less than the ideal value of the network-related performance evaluation of a new energy station, it indicates that there are defects in the network-related performance of the new energy station. The control system in the new energy station can be set to issue sound and light alarms when it detects that key parameters exceed the preset safety range so that operators can respond quickly. At the same time, the system can record data on abnormal events, identify potential problems through data analysis software, and then send alarms to relevant personnel through email, text messages, etc.

[0084] It needs to be explained that the station response time directly affects the stability and security of the power system. When a disturbance occurs in the power grid, such as a sudden change in load, failure of power generation equipment or disconnection of transmission lines, the station needs to be able to quickly adjust the active and reactive power output to help the power grid quickly restore stability. The station's rapid response helps prevent small-scale disturbances from developing into large-scale accidents, and helps avoid equipment damage and power outages.

[0085] It needs to be explained that the station response amplitude refers to the appropriate amplitude of active and reactive power regulation that the station needs to provide when a disturbance occurs in the power grid. Under the premise of ensuring the recovery of the grid frequency, the response amplitude should be reduced as much as possible. An excessively large response amplitude may cause excessive fluctuations in the power grid, making voltage fluctuations difficult to control, causing equipment overload or damage. At the same time, an excessively large response amplitude will increase the cost of power generation, and the station will need to consume more energy to maintain a high level of power output.

[0086] Comprehensively calculate the new energy station response performance evaluation index, and its calculation expression is:

[0087]

[0088] in, represents the response performance evaluation index of new energy stations, Indicates the response performance impact factor corresponding to the set new energy station response time evaluation value, Indicates the response performance impact factor corresponding to the set new energy station response amplitude evaluation value.

[0089] It should be explained that the new energy station response performance evaluation index can not only be obtained through the above calculation method, but also by collecting and analyzing the station's operating data over the past period of time, including response records when the grid frequency and voltage change, to evaluate the station's response performance under different conditions. It can also be achieved by conducting actual performance tests on new energy stations, such as measuring the maximum power reduction speed and stability of the generator set when simulating a drop in grid frequency, to evaluate the station's response capability to grid instructions.

[0090] It needs to be explained that the new energy station response performance evaluation index is jointly determined by the new energy station response time evaluation value and the new energy station response amplitude evaluation value. The new energy station response time evaluation value and the new energy station response amplitude evaluation value are respectively multiplied by the corresponding response performance influencing factors, and the results are summed to obtain the new energy station response performance evaluation index. The larger the new energy station response time evaluation value and the new energy station response amplitude evaluation value, the larger the corresponding new energy station response performance evaluation index. The response performance influencing factors corresponding to the new energy station response time evaluation value and the new energy station response amplitude evaluation value are used to improve the accuracy of the calculation results.

[0091] Furthermore, the response time evaluation value of the new energy station is analyzed in the following way: the time from when the station receives the response signal to the time when the station equipment makes adjustments is marked as the response time, the response time of the new energy station is collected, and the reference station response time is extracted from the power grid database to comprehensively calculate the response time evaluation value of the new energy station.

[0092] It should be explained that the response time evaluation value of the new energy station can not only be obtained by using professional performance testing tools such as JMeter and LoadRunner to simulate high-concurrency user scenarios, perform stress tests on the new energy station, and measure the response time of the system under various stress conditions, but also by analyzing server log files to obtain the response time of requests, identify events with long response times, and optimize them. It can also be obtained through the following calculation method. The specific calculation expression is:

[0093]

[0094] in, Indicates the response time evaluation value of the new energy station, Indicates the response time of the new energy station. Indicates the reference station response time, Indicates the set station response time correction factor.

[0095] It needs to be explained that the response time evaluation value of the new energy station is determined by the response time of the new energy station. The response time of the new energy station is determined by the ratio calculation with the response time of the reference station, which can reflect the timeliness of the response time of the new energy station. The longer the response time of the new energy station, the smaller the corresponding new energy station response time evaluation value. The station response time correction factor is used to correct the response time measurement error and improve the accuracy of the calculation results.

[0096] Furthermore, the response amplitude evaluation value of the new energy station is analyzed in the following specific process: the useful power regulation amount and the useless power regulation amount of the new energy station are collected, and the reference useful power regulation amount and the reference useless power regulation amount are matched from the power grid database according to the disturbance degree level of the associated sub-grid, and the response amplitude evaluation value of the new energy station is comprehensively calculated.

[0097] It should be explained that the useful power regulation amount can be calculated through the power balance equation of the power system to determine the useful power regulation amount required to maintain the stability of the power grid, and the useless power regulation amount can be estimated by calculating the power factor of the system to determine the reactive power demand.

[0098] Use online power system analysis tools, such as synchrophasors technology, to monitor the phase and frequency of the power grid in real time, so as to accurately obtain the power regulation amount. Use online power system monitoring tools, such as synchrophasors technology, to monitor the phase and frequency changes of the power grid in real time, so as to accurately obtain the reactive power regulation amount.

[0099] It should be explained that the response amplitude assessment value of the new energy station can not only use the synchronized phasor measurement unit (PMU) to measure the voltage, current, phase angle and other parameters in the power grid with high precision, thereby accurately obtaining the response amplitude of the station, but also by establishing a dynamic model of the station and simulating various power grid disturbances in simulation software to obtain the response data of the station under different disturbances. It can also be obtained by the following calculation method. The specific calculation expression is:

[0100]

[0101] in, Indicates the response amplitude assessment value of the new energy station, Indicates the useful power regulation of the new energy station, Indicates the useless power regulation of the new energy station, Indicates the reference useful power adjustment amount, Indicates the reference to the amount of useless power regulation, Indicates the response amplitude influence factor corresponding to the set useful power adjustment amount, Indicates the response amplitude impact factor corresponding to the set useless power adjustment amount.

[0102] It needs to be explained that the response amplitude evaluation value of the new energy station is jointly determined by the useful power regulation amount and the useless power regulation amount. The larger the useful power regulation amount and the useless power regulation amount, the smaller the corresponding response amplitude evaluation value of the new energy station. The response amplitude influencing factors corresponding to the useful power regulation amount and the useless power regulation amount are introduced to improve the accuracy of the calculation results.

[0103] By providing a method for evaluating the response performance of new energy stations, the response performance of new energy stations is comprehensively evaluated from two aspects: response time and response amplitude. By evaluating the response performance of new energy stations, it can be ensured that the stations can respond quickly and accurately when disturbances occur in the power grid, which helps maintain the stability of the power grid.

[0104] Specifically, the disturbance suppression performance evaluation index of the new energy station is analyzed as follows: deploy several monitoring time points, obtain the grid voltage and grid frequency at each monitoring time point before the grid disturbance, and at the same time collect the grid voltage and grid frequency at each monitoring time point after the station responds, and comprehensively calculate the disturbance suppression performance evaluation index of the new energy station.

[0105] The electrical parameters of the new energy station after responding to the disturbance are compared with the electrical parameters before the grid disturbance occurs to reflect the disturbance suppression effect of the new energy station response. By evaluating the disturbance suppression effect of the new energy station, it can be ensured that the station can effectively suppress the propagation of the disturbance when the grid disturbance occurs, thereby reducing the impact on the grid security.

[0106] It should be explained that the new energy station disturbance suppression performance evaluation index can not only be obtained by using power system simulation software such as PSS / E and PowerFactory to simulate the system response after the disturbance occurs and evaluate the effectiveness of the suppression measures by comparing with the actual recorded data, but also by using protection recorders, fault recorders and other equipment to record the changes in electrical quantities before and after the disturbance, such as voltage, current, power, frequency, etc., and analyze the disturbance suppression effect. It can also be obtained by the following calculation method. The specific calculation expression is:

[0107]

[0108] in, represents the new energy station disturbance suppression performance evaluation index, Indicates the first The grid voltage at each monitoring time point, Indicates the first The grid frequency at each monitoring time point, Indicates the first The grid voltage at each monitoring time point, Indicates the first The grid frequency at each monitoring time point, Indicates the set reference deviation voltage, Indicates the set reference deviation frequency, Indicates the disturbance suppression effect factor corresponding to the set grid voltage, Indicates the disturbance suppression effect factor corresponding to the set grid frequency.

[0109] On the other hand, this embodiment also provides a remote network performance testing system for new energy stations, which includes:

[0110] The test unit obtains the associated sub-grid of the new energy site, performs active disturbance testing on the associated sub-grid, and monitors and analyzes the disturbance degree assessment index of the associated sub-grid.

[0111] The analysis unit analyzes the disturbance level of the associated sub-grid according to the disturbance level evaluation index of the associated sub-grid and obtains the ideal value of the grid-related performance evaluation of the new energy station by matching.

[0112] The feedback unit evaluates the network-related performance of the new energy station based on the ideal value of the network-related performance evaluation, and evaluates the network-related performance of the new energy station, and feeds back the evaluation result of the network-related performance of the new energy station.

[0113] If the above functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0114] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0115] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, and then editing, interpreting, or processing in another suitable manner as necessary, and then storing it in a computer memory.

[0116] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof may be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0117] Example 2

[0118] The following is an embodiment of the present invention, which provides a remote testing method for the network-related performance of a new energy station. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0119] Table 1 is obtained by comparing the present invention with the existing method.

[0120] Table 1 Data comparison table

[0121]

[0122] As can be seen, the present invention reduces disturbance identification time from 5 seconds to 2 seconds through optimized data processing and analysis algorithms. This means that when a grid disturbance occurs, the present invention can identify the problem more quickly, providing a time advantage for implementing appropriate control measures, thereby reducing the potential impact of the disturbance. By comprehensively analyzing grid operating parameters and environmental parameters of new energy stations, the present invention improves the accuracy of disturbance assessment from 80% to 95%. This high-precision assessment more accurately reflects the actual disturbance conditions in the grid, providing reliable data support for developing more effective response strategies. Through improved control strategies, the response time of new energy stations is reduced from 3 seconds to 1.5 seconds. This rapid response capability is crucial for stable grid operation, especially in the event of a grid disturbance, enabling rapid adjustments to maintain grid stability and power supply continuity. The disturbance suppression effect is increased from 70% to 90%. This demonstrates that the present invention can effectively mitigate the impact of grid disturbances, protect the grid from the damage caused by severe disturbances, and thus improve the overall stability and security of the grid. By comprehensively evaluating and optimizing the grid-related performance of new energy stations, the present invention improves system stability by 20 percentage points, from 10% to 30%. This significant improvement means the grid can better cope with various disturbances and changes, ensuring a stable and reliable power supply. By analyzing the environmental parameters of new energy stations, the environmental adaptability improvement was increased from 5% to 25%. This demonstrates that the present invention can enable new energy stations to better adapt to environmental changes, such as changes in wind speed and light intensity, thereby optimizing power generation efficiency and stability, ensuring efficient operation of the grid.

[0123] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A remote testing method for network-related performance of a new energy station, characterized in that: include: Obtain the associated subgrids of the new energy station, conduct active disturbance tests on the associated subgrids, and monitor and analyze the disturbance degree assessment index of the associated subgrids; According to the disturbance degree evaluation index of the associated sub-grid, and by analyzing the disturbance degree level of the associated sub-grid, an ideal value of the grid-related performance evaluation of the new energy station is obtained; Based on the ideal value of the grid-related performance evaluation of the new energy station, the grid-related performance of the new energy station is evaluated, and the evaluation results of the grid-related performance of the new energy station are fed back.

2. The method for remotely testing network-related performance of a new energy station according to claim 1, characterized in that: The analysis of the disturbance degree assessment index of the associated subgrid includes: performing an active disturbance test on the associated subgrid, collecting operating parameters of the associated subgrid, and collecting environmental parameters of the new energy station at the same time; based on the operating parameters of the associated subgrid, including the active disturbance test harmonic content and the active disturbance test frequency of the associated subgrid, extracting the reference harmonic content and the reference grid frequency from the power grid database, and analyzing and processing to obtain the abnormal assessment index of the associated subgrid operating parameters; based on the environmental parameters of the new energy station, including the wind speed and light intensity of each environmental monitoring point, and obtaining the reference station wind speed and reference station light intensity corresponding to the standard output power from the power grid database, and analyzing and processing to obtain the environmental interference value of the new energy station; A comprehensive analysis is conducted on the grid operation parameters and the environmental parameters of the new energy stations to obtain the disturbance degree assessment index of the associated sub-grid.

3. The method for remotely testing network-related performance of a new energy station according to claim 2, characterized in that: The disturbance degree evaluation index of the associated sub-grid is calculated as follows: in, represents the disturbance degree assessment index of the associated subgrid, represents a natural constant, Indicates the abnormal evaluation index of the associated sub-grid operating parameters. Indicates the grid disturbance level impact factor corresponding to the set new energy station environmental interference value; in, represents the abnormal evaluation index of the associated sub-grid operating parameters, Indicates the harmonic content of the active disturbance test of the associated subgrid, represents the active disturbance test frequency of the associated subgrid, represents the reference harmonic content, Indicates the reference grid frequency, Indicates the set defined grid frequency deviation; in, Indicates the degree of environmental interference; Indicates the Wind speed at each environmental monitoring point; Indicates the Light intensity at each environmental monitoring point; Indicates the reference station wind speed corresponding to the standard output power; Indicates the reference station light intensity corresponding to the standard output power; Indicates the set limit wind speed deviation value; Indicates the set light intensity deviation value; Indicates the environmental interference impact factor corresponding to the set wind speed; Indicates the environmental interference impact factor corresponding to the set light intensity; Indicates the number of each environmental monitoring point, ； Represents the total number of environmental monitoring points.

4. The method for remotely testing network-related performance of a new energy station according to claim 3, characterized in that: The matching to obtain the ideal value of the grid-related performance evaluation of the new energy station includes matching the disturbance degree evaluation index of the associated sub-grid with the disturbance degree evaluation index interval corresponding to various disturbance degree levels stored in the grid database to obtain the disturbance degree level of the associated sub-grid, and comparing the ideal values ​​of the grid-related performance evaluation corresponding to various disturbance degree levels stored in the grid database to obtain the ideal value of the grid-related performance evaluation of the new energy station.

5. The remote testing method for network-related performance of a new energy station according to claim 4, characterized in that: The evaluation of the network-related performance of the new energy station includes obtaining a new energy station response performance evaluation index and a new energy station disturbance suppression performance evaluation index, wherein the new energy station response performance evaluation index represents data obtained by quantitatively evaluating the response performance of the new energy station, and the new energy station disturbance suppression performance evaluation index represents data obtained by quantitatively evaluating the disturbance suppression effect of the new energy station; A comprehensive analysis is conducted on the new energy station response performance evaluation index and the new energy station disturbance suppression performance evaluation index to obtain the new energy station network-related performance evaluation index, which is used to evaluate the comprehensive performance of the new energy station.

6. The method for remotely testing network-related performance of a new energy station according to claim 5, characterized in that: The calculation expression of the new energy station network performance evaluation index is: in, It represents the network performance evaluation index of new energy stations. Indicates the response performance evaluation index of the set new energy station, Indicates the grid-related performance impact factor corresponding to the new energy station disturbance suppression performance evaluation index; in, represents the response performance evaluation index of new energy stations, Indicates the response performance impact factor corresponding to the set new energy station response time evaluation value, Indicates the response performance impact factor corresponding to the set new energy station response amplitude assessment value; in, Indicates the response time evaluation value of the new energy station, Indicates the response time of the new energy station. Indicates the reference station response time, Indicates the set station response time correction factor; in, Indicates the response amplitude assessment value of the new energy station, Indicates the useful power regulation of the new energy station, Indicates the useless power regulation of the new energy station, Indicates the reference useful power adjustment amount, Indicates the reference to the amount of useless power regulation, Indicates the response amplitude influence factor corresponding to the set useful power adjustment amount, Indicates the response amplitude impact factor corresponding to the set useless power regulation amount; in, represents the new energy station disturbance suppression performance evaluation index, Indicates the first The grid voltage at each monitoring time point, Indicates the first The grid frequency at each monitoring time point, Indicates the first The grid voltage at each monitoring time point, Indicates the first The grid frequency at each monitoring time point, Indicates the set reference deviation voltage, Indicates the set reference deviation frequency, Indicates the disturbance suppression effect factor corresponding to the set grid voltage, Indicates the disturbance suppression effect factor corresponding to the set grid frequency.

7. The method for remotely testing network-related performance of a new energy station according to claim 6, characterized in that: Feedback of the network-related performance evaluation results of the new energy station includes comparing the network-related performance evaluation index of the new energy station with the ideal network-related performance evaluation value of the new energy station according to the ideal network-related performance evaluation value of the new energy station; If the network-related performance evaluation index of the new energy station is less than the ideal value of the network-related performance evaluation of the new energy station, the network-related performance evaluation result of the new energy station will be defined as demand-enhanced network-related performance; if the network-related performance evaluation index of the new energy station is greater than or equal to the ideal value of the network-related performance evaluation of the new energy station, the network-related performance evaluation result of the new energy station will be defined as high-quality network-related performance; finally, the definition result of the network-related performance evaluation result of the new energy station will be fed back.

8. A remote testing system for network-related performance of a new energy station using the method according to any one of claims 1 to 7, characterized in that: The test unit obtains the associated sub-grid of the new energy station, performs active disturbance testing on the associated sub-grid, and monitors and analyzes the disturbance degree assessment index of the associated sub-grid; An analysis unit, based on the disturbance degree evaluation index of the associated sub-grid, analyzes the disturbance degree level of the associated sub-grid and obtains an ideal value for the grid-related performance evaluation of the new energy station; The feedback unit evaluates the network-related performance of the new energy station based on the ideal value of the network-related performance evaluation, and evaluates the network-related performance of the new energy station, and feeds back the evaluation result of the network-related performance of the new energy station.

9. A computer device comprising: memory and processor; The memory stores a computer program, which is characterized in that when the processor executes the computer program, it implements the steps of the remote testing method for the network-related performance of the new energy station.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for remotely testing the network-related performance of a new energy station are implemented.

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