New energy station primary frequency modulation performance evaluation method and system based on variable frequency adjustment dead zone

Abstract

The invention discloses a new energy station primary frequency modulation performance evaluation method and system based on a variable frequency adjustment dead zone. The method comprises the following steps: calling new energy station parameter configuration: new energy stations in a whole network and primary frequency modulation dead zones of the new energy stations; detecting a multi-gear frequency modulation event: automatically gear the new energy station of the whole network, reading the real-time frequency data of the reference station, and identifying the power grid frequency disturbance event of each gear for primary frequency modulation evaluation; calculating the frequency modulation performance: calculating the primary frequency modulation characteristics of the new energy unit at each gear of the whole network during the power grid frequency disturbance event; comparing, analyzing and evaluating: visually displaying the primary frequency modulation characteristics of the new energy of the whole network and the primary frequency modulation performance of each new energy station during the disturbance period, comprehensively analyzing the support degree of primary frequency modulation on the power grid frequency in the frequency disturbance event, improving the global perception capability of operation analysts on the primary frequency modulation characteristics of the power grid, and improving the accuracy of the primary frequency modulation. And technical support is provided for safe and stable operation of a novel power system.

Description

Technical Field

[0001] This invention belongs to the field of smart grid technology, and more specifically, relates to a method and system for evaluating the primary frequency regulation performance of new energy power plants based on variable frequency regulation dead zone. Background Technology

[0002] With the centralized integration of large-capacity, high-proportion renewable energy sources into the power grid, the power structure of the system is undergoing profound changes. In terms of frequency regulation, the primary frequency regulation parameters of traditional thermal and hydropower units have formed relatively mature setting standards based on their physical characteristics and long-term operating experience. For example, the dead zone of thermal power is generally 0.033Hz, and that of hydropower is 0.05Hz.

[0003] However, as "new members" of the power system, wind power, solar power, and energy storage still face many challenges in setting reasonable primary frequency regulation dead zones, and a unified, mandatory standard has not yet been formed. The setting of dead zones needs to comprehensively consider technical performance, economic costs, and operational safety, and is usually specified by grid operators through technical specifications or grid connection standards. Currently, the primary frequency regulation dead zones of new energy power plants are not uniform across different regions of the country.

[0004] The existing evaluation system for primary frequency regulation performance of new energy power plants can only set the dead zone of the primary frequency regulation power plant according to the type of unit. That is, the entire grid of wind turbines uses a single selectable dead zone, and the entire grid of photovoltaic units uses a single selectable dead zone.

[0005] To scientifically explore suitable dead zone ranges for wind power, photovoltaics, and energy storage, the currently widely accepted approach is a closed-loop research method involving "modeling and simulation—data analysis—field testing." This approach involves configuring different dead zone parameters at typical power plants, utilizing minor disturbances naturally occurring in the power grid, collecting unit response data, and then iteratively optimizing the dead zone settings. The aim is to maximize the frequency regulation efficiency of these new resources while controlling their own losses and operating costs, all while ensuring the safe and stable operation of the power grid. This systematic project requires collaborative efforts from power grid companies, research institutions, and power generation enterprises.

[0006] Against this backdrop, the existing primary frequency regulation analysis system of the main station can only uniformly configure dead zones according to resource type (such as wind power, photovoltaic, and energy storage), which is difficult to adapt to the differentiated dead zone setting requirements of "one station, one policy" in the above test scheme. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention, within the existing functional architecture of the main station, enables flexible configuration and precise management of personalized dead-zone parameters for different new energy power plants or energy storage power stations. This ensures that the system can accurately identify primary frequency regulation events based on the actual dead-zone settings of each power station and correctly calculate and analyze relevant action indicators. This capability is a key technological step in supporting dead-zone parameter optimization research and improving the primary frequency regulation management level of new main stations.

[0008] To address this, the present invention provides a system and method for evaluating the primary frequency regulation performance of renewable energy power plants based on variable frequency regulation dead zones. By acquiring the primary frequency regulation dead zones reported by each renewable energy power plant, the system automatically categorizes the frequency dead zones and groups the renewable energy power plants according to their dead zones. It identifies grid frequency disturbance events at each level online, calculates the primary frequency regulation action characteristics of equivalent generating units at all renewable energy power plants during disturbances, and achieves accurate evaluation of the primary frequency regulation performance of renewable energy under synchronous grids based on dead zone categorization. This enhances the global perception capability of operation analysts regarding the primary frequency regulation characteristics of the grid, providing technical support for ensuring the safe and stable operation of new power systems.

[0009] The present invention adopts the following technical solution. The first aspect of the present invention provides a method for evaluating the primary frequency regulation performance of new energy power plants based on variable frequency adjustment dead zones, comprising the following steps: Summoning new energy power station parameter configuration, including: all new energy power stations in the network and their primary frequency regulation dead zones; Detecting multi-tiered frequency regulation events includes: automatically tiering all new energy power plants in the network, reading real-time frequency data of benchmark power plants, and identifying grid frequency disturbance events for primary frequency regulation evaluation at each tier. Calculate frequency regulation performance, including: calculate the primary frequency regulation characteristics of new energy generating units at all levels across the entire network during power grid frequency disturbance events; The comparative analysis and evaluation include: visually displaying the primary frequency regulation characteristics of the entire network's renewable energy sources and the primary frequency regulation performance of each renewable energy power station during the disturbance period through multiple dimensions and forms, and comprehensively analyzing the degree of support of primary frequency regulation for the grid frequency during this frequency disturbance event.

[0010] Preferably, the parameter configuration for summoning new energy power stations includes: Information on new energy power plants is obtained from the power grid technical support platform database of the dispatch center, and parameter configuration request is initiated to the new energy power plants via the dispatch data network in a TCP / IP manner. Each new energy power station responded to the call and reported its configuration parameters. After a successful summoning, the parameters are stored in the power grid technical support platform database.

[0011] Preferably, the detection of multi-band frequency modulation events includes: Based on the different primary frequency regulation dead zones included in the reported configuration parameters of new energy power stations, the frequency dead zones are automatically divided into multiple levels, and each new energy power station is automatically divided into multiple groups according to the primary frequency regulation dead zone. The dispatcher selects another power station as the reference power station and reads its real-time frequency as the real-time monitored power grid frequency.

[0012] Preferably, the detection of multi-band frequency modulation events includes: The configuration parameters of the primary frequency regulation disturbance event are read from the database of the power grid technical support platform at the dispatch center. Query the power grid frequency data, calculate the frequency deviation value, compare the real-time frequency with the rated frequency, and obtain the magnitude and direction of the frequency deviation; Based on the primary frequency regulation dead zone of new energy sources, determine whether the frequency disturbance characteristics meet the requirements of the primary frequency regulation event of the power grid at each level. When the requirements are met, key information such as start time and end time is recorded to generate a primary frequency regulation disturbance event of new energy to be evaluated.

[0013] Preferably, the identification logic for determining whether the frequency disturbance characteristics meet the requirements of the primary frequency regulation event of the power grid at each level includes: When the real-time detected grid frequency crosses the frequency regulation dead zone and the duration reaches the settable integral time, the frequency regulation record will be captured, and the process will end when the frequency returns to the frequency regulation dead zone. Among these measures, a steady-state time before crossing the dead zone is set to ensure that the event meets the steady-state conditions before frequency modulation; and no further assessments will be conducted within the effective disturbance interval that can be set after this assessment.

[0014] Preferably, the same identification logic is used to identify the power grid frequency disturbance events used for primary frequency regulation evaluation at each level.

[0015] Preferably, the calculation of frequency modulation performance includes: Obtain a list of primary frequency regulation disturbance events for new energy vehicles at each level to be evaluated; Based on the frequency regulation dead zone, start time, and end time of the primary frequency regulation disturbance event of the new energy source, as well as the primary frequency regulation object information of the unit, query the active power, primary frequency regulation activation / deactivation signals, and primary frequency regulation action signals of each unit; Based on the data obtained, calculate the primary frequency regulation characteristics of each unit during the primary frequency regulation disturbance event of the entire network's new energy sources; Based on a series of set primary frequency regulation evaluation indicators, the primary frequency regulation operation characteristics of each unit are analyzed, and the primary frequency regulation performance evaluation results of each unit are given.

[0016] Preferably, the primary frequency regulation evaluation indicators include: output response index B2 and power contribution index Bu, calculated as follows: Output response index B2 = (Actual active power Pt at this moment - Initial output P0) / (-(Actual frequency - Frequency modulation dead zone) * Rated grid-connected capacity of new energy Pn / (Speed ​​inequality kc * 50)); The power contribution index Bu = the integral of the actual power output adjustment / the integral of the theoretical power output adjustment.

[0017] Preferably, the comparative analysis and evaluation includes: Based on the query time period set in the interface, retrieve a list of primary frequency regulation disturbance events of new energy vehicles across the entire network from the database; Based on the selected primary frequency regulation disturbance event of renewable energy, query the primary frequency regulation performance of renewable energy across the entire network and the primary frequency regulation performance of each participating unit from the data, and display it visually. The frequency regulation evaluation results of this unit during this event are presented in a visual format. The primary frequency regulation performance display for new energy units shows the distribution of primary frequency regulation performance of all units, a list of the top-ranked units, and a list of the bottom-ranked units.

[0018] The second aspect of the present invention provides a primary frequency regulation performance evaluation system for new energy power stations based on variable frequency adjustment dead zone, which executes the primary frequency regulation performance evaluation method for new energy power stations based on variable frequency adjustment dead zone described in the first aspect, including: an automatic parameter reporting module, a multi-level frequency regulation event detection module, a frequency regulation performance calculation module, and a comparative analysis and evaluation module; The automatic parameter reporting module is used to obtain configuration parameters of new energy power stations for the primary frequency regulation evaluation of new energy. The multi-tiered frequency regulation event detection module is used to automatically tier the new energy power stations across the entire network, while reading the real-time frequency data of the benchmark power stations and identifying the grid frequency disturbance events for primary frequency regulation evaluation at each tier. The frequency regulation performance calculation module is used to calculate the frequency regulation action characteristics of new energy units at all levels of the entire network during disturbances, based on the same evaluation criterion. The comparative analysis and evaluation module is used for visualization and analysis of the degree to which primary frequency regulation supports the power grid frequency during this frequency disturbance event.

[0019] Compared with existing technologies, the beneficial effects of this invention include at least the following: This invention reconstructs the master station event detection logic, transforming dead-zone parameters from fixed code into dynamically configurable station attributes. This invention acquires and generates all generating units participating in the primary frequency regulation evaluation of new energy sources online, and obtains the frequency regulation dead zones reported by new energy sources, automatically classifying them according to the frequency regulation dead zones; based on uniformly set benchmark plant frequency data, it identifies primary frequency regulation disturbance events of new energy sources in each class, supporting simultaneous detection of multiple dead zones; according to a unified calculation method and evaluation scale, it calculates the primary frequency regulation action characteristics of various new energy generating units under the synchronous grid during disturbances, achieving a consistent and accurate evaluation of the primary frequency regulation performance of new energy sources under the synchronous grid. This breaks the traditional "one-size-fits-all" management model based on resource type, and for the first time realizes "individualized" and "refined" management of the primary frequency regulation dead zones of new energy and energy storage power stations on the master station side. This provides power grid dispatching agencies with a new and more scientific tool for grid-source coordination management. It significantly improves the accuracy and comprehensiveness of the primary frequency regulation performance evaluation of new energy sources under the synchronous grid, providing strong technical support for the safe and stable operation of new power systems. Attached Figure Description

[0020] Figure 1 This is a logic processing flowchart provided according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the frequency disturbance characteristics of a primary frequency regulation event of an energy storage equivalent unit provided in accordance with an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0022] like Figure 1 As shown, Embodiment 1 of the present invention provides a method for evaluating the primary frequency regulation performance of new energy power stations based on variable frequency adjustment dead zone, including the following steps: Step 1, automatic parameter reporting, includes: automatically or manually retrieving parameter configurations for new energy power stations based on the platform's equipment model and collected WAMS data, covering all new energy power stations in the network and their primary frequency regulation dead zones, for the evaluation of new energy primary frequency regulation. Preferably, but not restrictively, Step 1 specifically includes: Step 1.1: Obtain information about new energy power plants from the power grid technical support platform database of the dispatch center, including: equivalent unit ID, equipment name, communication link IP, communication port, PMU IDCODE, etc., and initiate parameter configuration request to the new energy power plants through the dispatch data network in TCP / IP mode.

[0023] Step 1.2: Each new energy power station responds to the call and reports the configuration parameters of the new energy power station, including: rated capacity, frequency regulation dead zone, speed variation rate, power upward adjustment limit, power downward adjustment limit, active power regulation calculation basis, whether AGC (Automatic Generation Control) is locked during primary frequency regulation and the primary frequency regulation mode, etc.

[0024] The active power regulation calculation benchmark is the real-time active power Pt or the rated active power Pn; the primary frequency regulation methods include: wind-storage coordination, wind turbine priority, and energy storage priority.

[0025] Step 1.3: After a successful summoning, the parameters are stored in the power grid technical support platform database to provide parameters for subsequent modules and for display in the comparative analysis and evaluation module.

[0026] Step 2, detect multi-tiered frequency regulation events, including: automatically tiering all new energy power plants in the network, reading real-time frequency data of benchmark power plants, and identifying grid frequency disturbance events for primary frequency regulation evaluation at each tier.

[0027] Specifically, the system dynamically loads the requested configuration parameters from the power grid technical support platform database at the dispatch center, automatically categorizing all renewable energy power plants across the network. Simultaneously, it reads real-time frequency data from benchmark power plants to identify power grid frequency disturbance events for primary frequency regulation evaluation at each tier, preferably but not limited to simultaneous detection of multiple dead zones. Preferably, but not limitingly, step 2 specifically includes: Step 2.1: Read the configuration parameters of the primary frequency regulation disturbance event, station frequency, frequency regulation dead zone and other information from the power grid technical support platform database of the dispatch center. Based on the frequency regulation dead zone reported by the new energy power station, automatically classify the frequency dead zone and automatically group the new energy power stations according to the frequency regulation dead zone.

[0028] It is understandable that, for example, but not limited to, the frequency dead zones included in the reported configuration parameters of new energy power stations are 0.033Hz, 0.05Hz and 0.06Hz. Therefore, the frequency dead zones are automatically divided into three levels, and each new energy power station is automatically divided into three groups according to the frequency dead zones.

[0029] Step 2.2: Query the power grid frequency data, calculate the frequency deviation value, and compare the real-time frequency with the rated frequency to determine the magnitude and direction of the frequency deviation. It is understood that the rated frequency is typically 50Hz. Preferably, but not limited to, since 500kV substations have more stable frequencies, the dispatch center selects 2-4 additional 500kV substations as reference stations, and reads their real-time frequencies as the power grid frequency for real-time monitoring.

[0030] Step 2.3: Based on the primary frequency regulation dead zone classification of new energy sources, determine whether the frequency disturbance characteristics meet the requirements of the primary frequency regulation event of the power grid at each level, and simultaneously detect multiple dead zones.

[0031] Step 2.4: When the requirements are met, record key information such as start time and end time to generate a new energy primary frequency regulation disturbance event to be evaluated.

[0032] like Figure 2 As shown, the frequency disturbance characteristics of a primary frequency regulation event are as follows, taking an energy storage equivalent unit as an example: a) When the detected reference frequency, i.e., the real-time detected grid frequency, crosses the frequency regulation dead zone (50.0 ± 0.033 Hz for energy storage equivalent units), and the duration (T1-T5) reaches the settable integration time, the frequency regulation record will be captured, and the process will end when the frequency returns to the frequency regulation dead zone. Further preferred, but not limiting, is a minimum integration time of 10 seconds and a maximum of 60 seconds. Figure 2 In this context, T1 is the moment of crossing the dead zone, T2 is the moment of crossing the effective disturbance dead zone, T3 is the moment of frequency extreme value, T4 is the moment of ending the effective disturbance dead zone, and T5 is the moment of ending frequency modulation, i.e., the frequency returns to the dead zone or the duration reaches the maximum integral time. Simultaneous detection of multiple dead zones means that performance indicators are calculated according to this logic for each dead zone. t1 is the moment of starting to participate in one frequency modulation, t2 corresponds to the lowest power point which determines the actual maximum output adjustment amount and participates in the calculation of the output response index B2 in the frequency modulation performance indicators, and t3 is the moment of exiting participation in one frequency modulation.

[0033] (b) It is required that frequency fluctuations within a set time period before the start point of the selected effective disturbance frequency band cannot enter the frequency regulation dead zone, that is, a steady-state time before crossing the dead zone is set to ensure that the event meets the steady-state conditions before frequency regulation. Further preferred but not restrictive, frequency fluctuations within 3 seconds before the dead zone crossing time T1 cannot exceed the frequency regulation dead zone (50.0±0.033Hz for energy storage equivalent units).

[0034] c) After this assessment, within the effective disturbance interval that can be set, no further assessment will be conducted. Further optimization will be performed, but not restrictively. The effective disturbance interval is 20 seconds.

[0035] Step 3, calculate frequency regulation performance, including: reading data such as active power, primary frequency regulation activation / deactivation signals, and primary frequency regulation action signals of the equivalent generating units of the new energy power station, calculating the primary frequency regulation characteristics of each unit during the disturbance period, and performing statistical analysis and saving.

[0036] Specifically, based on the same evaluation metric, according to the frequency regulation dead zone, start time, and end time of the primary frequency regulation disturbance event of the renewable energy source to be evaluated, the active power and frequency data of the equipment are read, and the primary frequency regulation characteristics of each virtual generator group during the disturbance period are calculated. That is, the primary frequency regulation action characteristics of renewable energy units at all levels of the entire network during the disturbance period are calculated, so as to achieve a consistent and accurate evaluation of the primary frequency regulation performance of renewable energy sources under the synchronous grid. It can be understood that the virtual generator group refers to a new energy power station being virtually converted into a unit. Preferably, but not limitingly, step 3 specifically includes: Step 3.1: Obtain the list of primary frequency regulation disturbance events of new energy vehicles to be evaluated at each level.

[0037] Step 3.2: Based on the frequency regulation dead zone, start time, and end time of the primary frequency regulation disturbance event of the new energy source, as well as the primary frequency regulation object information of the unit, query the active power, primary frequency regulation activation / deactivation signals, and primary frequency regulation action signals of each unit.

[0038] Step 3.3: Based on the data obtained from each unit, such as active power, primary frequency regulation activation / deactivation signals, and primary frequency regulation action signals, calculate the primary frequency regulation characteristics of each unit during the primary frequency regulation disturbance event of the entire network's new energy sources.

[0039] Step 3.4: Based on a series of set primary frequency regulation evaluation indicators, analyze the primary frequency regulation operation characteristics of each unit, give the primary frequency regulation performance evaluation results of each unit, and save the results to the database.

[0040] Further preferred, but not restrictive, evaluation indicators for primary frequency regulation include: calculating the output response index B2 and the power contribution index Bu.

[0041] The calculation of the output force response index B2 includes: Speed ​​variability, also known as speed variation rate, permanent slip rate, or droop rate, is the slope of the static characteristic curve of the primary frequency regulation of the power supply control system, abbreviated as kc. Rated capacity, for conventional power supplies it is the rated capacity of a single unit, for new energy sources it is the grid-connected rated capacity, abbreviated as Pn; Initial output, or initial average output, is the average active power calculated from the moment of crossing the dead zone T1 forward (to the left of the time axis), abbreviated as P0; Actual output adjustment = Actual active power at this moment Pt - Initial output P0; Theoretical output adjustment = -(actual frequency – frequency modulation dead zone) * Pn / (kc * 50), where the negative sign indicates that the direction of active power change is opposite to the direction of frequency change; Therefore, the output response index B2 can be calculated, expressed by the following formula: Output response index B2 = Actual maximum output adjustment amount / Theoretical maximum output adjustment amount.

[0042] The calculation of the electricity contribution index Bu includes: Theoretical output = Theoretical output adjustment + Initial output P0.

[0043] Actual integral power, or actual contributed power, is the integral of the actual output adjustment.

[0044] Theoretical integral power, or theoretical contribution power, is the integral of the theoretical output adjustment.

[0045] Electricity contribution index = actual electricity contribution / theoretical electricity contribution, abbreviated as Bu.

[0046] Step 4, comparative analysis and evaluation, includes: intuitively displaying the primary frequency regulation characteristics of the entire network's new energy sources and the primary frequency regulation performance of each new energy power station during the disturbance period through multiple dimensions and forms, comprehensively analyzing the degree of support of primary frequency regulation for the grid frequency during this frequency disturbance event, improving the global perception ability of operation analysts of the grid's primary frequency regulation characteristics, and providing technical support for ensuring the safe and stable operation of the new power system.

[0047] Specifically, through a multi-dimensional and multi-format interface, the primary frequency regulation characteristics of the entire network's new energy sources and the primary frequency regulation performance of each unit during a new energy primary frequency regulation disturbance event are displayed intuitively, achieving a consistent and accurate evaluation of primary frequency regulation performance based on the same evaluation criterion. Preferably, but not restrictively, step 4 specifically includes: Step 4.1: Based on the query time period set in the interface, retrieve the list of primary frequency regulation disturbance events of new energy sources across the entire network from the database.

[0048] Step 4.2: Based on the selected renewable energy primary frequency regulation disturbance event, query the data for the primary frequency regulation performance of renewable energy across the entire network and the primary frequency regulation performance of each participating unit for that event, and display them in the form of pie charts and tables.

[0049] Step 4.3: Based on the selected individual unit, display the frequency regulation evaluation results of that unit in this event in the form of tables, curves, and bar charts.

[0050] Step 4.4, the primary frequency regulation performance display of new energy units shows the distribution of primary frequency regulation performance of all units, the list of units with the highest ranking, and the list of units with the lowest ranking.

[0051] Step 4.5 provides the option to manually customize and reset the disturbance period and disturbance parameters, and to perform refined calculation and analysis of the primary frequency regulation performance of the entire grid and each new energy unit under a specific frequency disturbance event of the synchronous power grid.

[0052] Embodiment 2 of the present invention provides a primary frequency regulation performance evaluation system for new energy power plants based on variable frequency adjustment dead zone, which runs the primary frequency regulation performance evaluation method for new energy power plants based on variable frequency adjustment dead zone as described in Embodiment 1, including: an automatic parameter reporting module, a multi-level frequency regulation event detection module, a frequency regulation performance calculation module, and a comparative analysis and evaluation module.

[0053] The automatic parameter reporting module is used to obtain configuration parameters of new energy power stations for the primary frequency regulation evaluation of new energy.

[0054] The multi-tiered frequency regulation event detection module is used to automatically tier new energy power plants across the entire network, while simultaneously reading real-time frequency data from benchmark power plants, identifying grid frequency disturbance events for primary frequency regulation evaluation at each tier, and supporting simultaneous detection of multiple dead zones.

[0055] The frequency regulation performance calculation module is used to calculate the primary frequency regulation action characteristics of new energy units at all levels of the entire network during disturbances based on the same evaluation criteria, so as to achieve a consistent and accurate evaluation of the primary frequency regulation performance of new energy under the synchronous grid.

[0056] The comparative analysis and evaluation module is used to provide a multi-dimensional and multi-form intuitive display, comprehensively analyze the degree of support of primary frequency regulation for the power grid frequency in this frequency disturbance event, improve the global perception ability of operation analysts of the primary frequency regulation characteristics of the power grid, and provide technical support for ensuring the safe and stable operation of the new power system.

[0057] Embodiment 3 of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is loaded onto the processor, it implements the method for evaluating the primary frequency regulation performance of new energy power stations based on variable frequency adjustment dead zone as described in Embodiment 1.

[0058] Embodiment 4 of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for evaluating the primary frequency regulation performance of new energy power stations based on variable frequency adjustment dead zone as described in Embodiment 1.

[0059] It is worth noting that in the embodiments of the present invention, "steps + numbers" is only an expression for clearly describing the specific implementation of the method for evaluating the primary frequency regulation performance of new energy power stations based on variable frequency adjustment dead zone, and is not an absolute restriction on the order of the steps. Under the guidance of the core concept of the present invention, changing the order of these steps to obtain the same or similar technical effects all fall within the scope of the present invention.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for evaluating the primary frequency regulation performance of new energy power stations based on variable frequency adjustment dead zone, characterized in that, Includes the following steps: Summoning new energy power station parameter configuration, including: all new energy power stations in the network and their primary frequency regulation dead zones; Detecting multi-tiered frequency regulation events includes: automatically tiering all new energy power plants in the network, reading real-time frequency data of benchmark power plants, and identifying grid frequency disturbance events for primary frequency regulation evaluation at each tier. Calculate frequency regulation performance, including: calculate the primary frequency regulation characteristics of new energy generating units at all levels across the entire network during power grid frequency disturbance events; The comparative analysis and evaluation include: visually displaying the primary frequency regulation characteristics of the entire network's renewable energy sources and the primary frequency regulation performance of each renewable energy power station during the disturbance period through multiple dimensions and forms, and comprehensively analyzing the degree of support of primary frequency regulation for the grid frequency during this frequency disturbance event.

2. The method for evaluating the primary frequency regulation performance of new energy power stations based on variable frequency adjustment dead zone according to claim 1, characterized in that: The parameter configuration for the new energy power station includes: Information on new energy power plants is obtained from the power grid technical support platform database of the dispatch center, and parameter configuration request is initiated to the new energy power plants via the dispatch data network in a TCP / IP manner. Each new energy power station responded to the call and reported its configuration parameters. After a successful summoning, the parameters are stored in the power grid technical support platform database.

3. A method for evaluating the primary frequency regulation performance of a new energy power station based on a variable frequency adjustment dead zone, as described in claim 1 or 2, characterized in that: The detection of multi-band frequency modulation events includes: Based on the different primary frequency regulation dead zones included in the reported configuration parameters of new energy power stations, the frequency dead zones are automatically divided into multiple levels, and each new energy power station is automatically divided into multiple groups according to the primary frequency regulation dead zone. The dispatcher selects another power station as the reference power station and reads its real-time frequency as the real-time monitored power grid frequency.

4. The method for evaluating the primary frequency regulation performance of a new energy power station based on a variable frequency adjustment dead zone according to claim 3, characterized in that: The detection of multi-band frequency modulation events includes: The configuration parameters of the primary frequency regulation disturbance event are read from the database of the power grid technical support platform at the dispatch center. Query the power grid frequency data, calculate the frequency deviation value, compare the real-time frequency with the rated frequency, and obtain the magnitude and direction of the frequency deviation; Based on the primary frequency regulation dead zone of new energy sources, determine whether the frequency disturbance characteristics meet the requirements of the primary frequency regulation event of the power grid at each level. When the requirements are met, key information such as start time and end time is recorded to generate a primary frequency regulation disturbance event of new energy to be evaluated.

5. The method for evaluating the primary frequency regulation performance of a new energy power station based on a variable frequency adjustment dead zone according to claim 4, characterized in that: The identification logic for determining whether the frequency disturbance characteristics meet the requirements of the primary frequency regulation event of the power grid at each level includes: When the real-time detected grid frequency crosses the frequency regulation dead zone and the duration reaches the settable integral time, the frequency regulation record will be captured, and the process will end when the frequency returns to the frequency regulation dead zone. Among these measures, a steady-state time before crossing the dead zone is set to ensure that the event meets the steady-state conditions before frequency modulation; and no further assessments will be conducted within the effective disturbance interval that can be set after this assessment.

6. A method for evaluating the primary frequency regulation performance of a new energy power station based on a variable frequency adjustment dead zone, as described in claim 4 or 5, characterized in that: At the same time, using the same identification logic, the power grid frequency disturbance events used for primary frequency regulation evaluation at each level are identified.

7. A method for evaluating the primary frequency regulation performance of a new energy power station based on a variable frequency regulation dead zone according to any one of claims 3 to 5, characterized in that: The calculated frequency modulation performance includes: Obtain a list of primary frequency regulation disturbance events for new energy vehicles at each level to be evaluated; Based on the frequency regulation dead zone, start time, and end time of the primary frequency regulation disturbance event of the new energy source, as well as the primary frequency regulation object information of the unit, query the active power, primary frequency regulation activation / deactivation signals, and primary frequency regulation action signals of each unit; Based on the data obtained, calculate the primary frequency regulation characteristics of each unit during the primary frequency regulation disturbance event of the entire network's new energy sources; Based on a series of set primary frequency regulation evaluation indicators, the primary frequency regulation operation characteristics of each unit are analyzed, and the primary frequency regulation performance evaluation results of each unit are given.

8. The method for evaluating the primary frequency regulation performance of a new energy power station based on a variable frequency adjustment dead zone according to claim 7, characterized in that: The primary frequency regulation evaluation indicators include: output response index B2 and power contribution index Bu, which are calculated as follows: Output response index B2 = (Actual active power Pt at this moment - Initial output P0) / (-(Actual frequency - Frequency modulation dead zone) * Rated grid-connected capacity of new energy Pn / (Speed ​​inequality kc * 50)); The power contribution index Bu = the integral of the actual power output adjustment / the integral of the theoretical power output adjustment.

9. A method for evaluating the primary frequency regulation performance of a new energy power station based on a variable frequency regulation dead zone according to any one of claims 3 to 5, characterized in that: The comparative analysis and evaluation include: Based on the query time period set in the interface, retrieve a list of primary frequency regulation disturbance events of new energy vehicles across the entire network from the database; Based on the selected primary frequency regulation disturbance event of renewable energy, query the primary frequency regulation performance of renewable energy across the entire network and the primary frequency regulation performance of each participating unit from the data, and display it visually. The frequency regulation evaluation results of this unit during this event are presented in a visual format. The primary frequency regulation performance display for new energy units shows the distribution of primary frequency regulation performance of all units, a list of the top-ranked units, and a list of the bottom-ranked units.

10. A primary frequency regulation performance evaluation system for new energy power stations based on variable frequency deadband, comprising executing the primary frequency regulation performance evaluation method for new energy power stations based on variable frequency deadband according to any one of claims 1 to 9, characterized in that, include: The module includes an automatic parameter reporting module, a multi-level FM event detection module, an FM performance calculation module, and a comparative analysis and evaluation module. The automatic parameter reporting module is used to obtain configuration parameters of new energy power stations for the primary frequency regulation evaluation of new energy. The multi-tiered frequency regulation event detection module is used to automatically tier the new energy power stations across the entire network, while reading the real-time frequency data of the benchmark power stations and identifying the grid frequency disturbance events for primary frequency regulation evaluation at each tier. The frequency regulation performance calculation module is used to calculate the frequency regulation action characteristics of new energy units at all levels of the entire network during disturbances, based on the same evaluation criterion. The comparative analysis and evaluation module is used for visualization and analysis of the degree to which primary frequency regulation supports the power grid frequency during this frequency disturbance event.

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