Method, system, terminal device and medium for determining frequency modulation auxiliary service offer

Abstract

The application discloses a frequency modulation auxiliary service offer determination method and system, terminal equipment and medium, comprising collecting historical frequency modulation market information and historical operation condition data of a power generation unit in a continuous operation mode and an AGC automatic frequency modulation mode; a combined cycle physical model is established to obtain a combined cycle load characteristic curve; according to a discrete time sequence model, the historical frequency modulation market information and the historical operation condition data are used to predict the next day power generation unit output change, on-grid electricity price, natural gas price, frequency modulation total capacity, frequency modulation mileage, comprehensive frequency modulation performance K value and unified clearing price, combined with the combined cycle load characteristic curve, the power generation unit cost, income and gross profit of the power generation unit in the continuous operation mode and the AGC frequency modulation mode are calculated, and the frequency modulation mileage offer of the income balance point in the two modes is calculated to determine the offer strategy and frequency modulation mileage declaration price. The application can effectively predict the frequency modulation market information, provide reasonable offer strategies for power generation enterprises and bring better income.

Description

Technical Field

[0001] This application relates to the field of electricity market technology, and in particular to a method, system, terminal equipment and medium for determining frequency regulation ancillary service pricing. Background Technology

[0002] As the randomness of user electrical loads continues to increase and the peak-to-valley ratio widens, frequency regulation ancillary services have developed rapidly. Gas turbines, due to their advantage of rapid load changes, can participate in frequency regulation ancillary services and hold a significant advantage in the frequency regulation market. Although frequency regulation benefits are generally higher than normal operating benefits, frequent and rapid load changes during frequency regulation can impact the lifespan of the unit.

[0003] However, existing pricing methods for frequency regulation ancillary services often only consider some factors, resulting in limited coverage of the final pricing scheme. They cannot effectively predict frequency regulation market information, leading to unreasonable pricing strategies for power generation companies and poor economic efficiency. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, terminal equipment and medium for determining the price of frequency regulation ancillary services, so as to solve the problems that the existing frequency regulation ancillary service pricing methods are not comprehensive in their coverage and have unreasonable pricing strategies, which also affect the revenue of power generation companies.

[0005] To achieve the above objectives, this application provides a method for determining a FM ancillary service price, comprising: Collect historical frequency regulation market information and historical operating condition data of power generation units in continuous operation mode and AGC automatic frequency regulation mode; among which, frequency regulation market information includes total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value and unified clearing price; A combined cycle physical model was established using historical operating condition data to obtain the combined cycle load characteristic curve; Based on the discrete time series model, the following day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value, and unified clearing price are predicted using historical frequency regulation market information and historical operating condition data. Based on the forecast results and the combined cycle load characteristic curve, the generation unit cost, revenue and gross profit in continuous operation mode and AGC frequency regulation mode are calculated, as well as the frequency regulation mileage price at the revenue break-even point in the two modes, as the calculation results. The pricing strategy and the declared price for frequency modulation mileage are determined based on the calculation results.

[0006] Furthermore, the establishment of a combined cycle physical model using historical operating condition data includes: The historical operating condition data is saved to a subset constructed based on a preset load segment; The data within the subset is cleaned, and the cleaned data is the data generated when the power generation unit is connected to the grid. A combined cycle physical model was established based on a thermodynamic simulation platform, and the model was corrected using cleaned data.

[0007] Furthermore, obtaining the combined cycle load characteristic curve includes: The combined cycle under different load rates was simulated on a thermodynamic simulation platform to obtain the operating parameters of each component of the combined cycle under different loads. Plot the combined cycle load characteristic curve based on the operating condition parameters obtained from the simulation.

[0008] Furthermore, after obtaining the combined cycle load characteristic curve, the method further includes obtaining a discrete time series model, including: Set the initial parameters of the discrete time series model, construct a test set using historical frequency regulation market information and historical operating condition data, input it into the discrete time series model, and output the corresponding predicted values; Calculate the error between the predicted and actual values, adjust the initial parameters using the error values, and predict the parameters for the next time point until the maximum time series is reached. Calculate the sum of the error values ​​in one parameter adjustment. The adjusted parameters are used as the initial parameters of the discrete time series model for iterative calculation until the sum of the model error values ​​meets the preset conditions, thus generating the optimized discrete time series model.

[0009] Furthermore, the calculation of the generation unit cost, revenue, and gross profit under continuous operation mode and AGC frequency regulation mode based on the forecast results and combined cycle load characteristic curve includes: Based on the next day's changes in power generation unit output, on-grid electricity price, natural gas price forecasts, and combined cycle load characteristics, calculate the power generation unit cost, revenue, and gross profit under continuous operation mode; Based on the next day's changes in generator unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, unified clearing price, predicted value of frequency regulation comprehensive performance K value, and combined cycle load characteristics, calculate the generator unit cost, revenue, and gross profit under the AGC automatic frequency regulation mode.

[0010] Furthermore, the calculation of the power generation unit cost in continuous operation mode and the calculation of the power generation unit cost in AGC automatic frequency regulation mode include: Calculate the equivalent operating hours of the power generation unit based on its actual operating status. The maintenance costs of each component of the power generation unit under continuous operation mode and AGC automatic frequency regulation mode are calculated based on the equivalent operating hours, component maintenance costs, and component maintenance intervals.

[0011] Furthermore, the step of determining the pricing strategy and the declared price for FM mileage based on the calculation results includes: Based on the gross profit break-even point mileage quotation and the unified bid price forecast, determine whether the power generation unit should participate in the electricity market frequency regulation and the mileage quotation price.

[0012] This application also provides a frequency modulation ancillary service pricing determination system, including: The data acquisition unit is used to collect historical frequency regulation market information and historical operating condition data of the power generation unit in continuous operation mode and AGC automatic frequency regulation mode; among which, the frequency regulation market information includes total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value and unified clearing price; The curve acquisition unit is used to establish a combined cycle physical model using historical operating condition data and to obtain the combined cycle load characteristic curve. The forecasting unit is used to predict the next day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value, and unified clearing price based on a discrete time series model using historical frequency regulation market information and historical operating condition data. The calculation unit is used to calculate the cost, revenue, and gross profit of the power generation unit in continuous operation mode and AGC frequency regulation mode, as well as the frequency regulation mileage price at the revenue break-even point in the two modes, based on the forecast results and the combined cycle load characteristic curve. The pricing scheme determination unit is used to determine the pricing strategy and the declared price for frequency regulation mileage based on the calculation results.

[0013] This application also provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the frequency modulation ancillary service pricing method as described in any of the preceding claims.

[0014] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the frequency modulation ancillary service pricing method as described in any of the preceding claims.

[0015] Compared to existing technologies, the advantages of this application are as follows: This application discloses a method, system, terminal equipment, and medium for determining the price of frequency regulation ancillary services. The method includes collecting historical frequency regulation market information and historical operating condition data of power generation units in continuous operation mode and AGC automatic frequency regulation mode; establishing a combined cycle physical model to obtain the combined cycle load characteristic curve; using a discrete time series model and historical frequency regulation market information and historical operating condition data to predict the next day's power output change of power generation units, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K-value, and unified clearing price; and combining the combined cycle load characteristic curve to calculate the cost, revenue, and gross profit of power generation units in continuous operation mode and AGC frequency regulation mode, as well as the frequency regulation mileage price at the break-even point under both modes, in order to determine the pricing strategy and the declared price for frequency regulation mileage.

[0016] This application can provide power generation companies with reasonable frequency regulation market information forecasting, frequency regulation revenue calculation, and frequency regulation mileage price declaration, and provide power generation companies with reasonable pricing strategies to help them obtain more profits. It can be widely used in the power market and has strong promotion potential. Attached Figure Description

[0017] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a method for determining a FM ancillary service price according to a certain embodiment of this application; Figure 2 This is a schematic diagram of the structure of a frequency modulation auxiliary service quotation determination system provided in a certain embodiment of this application; Figure 3 This is a schematic diagram of the structure of a terminal device provided in a certain embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0020] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

[0021] It should be understood that the terminology used in this application specification is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0022] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0023] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.

[0024] Please see Figure 1 This application provides a method for determining a FM ancillary service price in one embodiment. For example... Figure 1 As shown, the method for determining the FM ancillary service price includes steps S10 to S50. The specific steps are as follows: S10. Collect historical frequency regulation market information and historical operating condition data of power generation units in continuous operation mode and AGC automatic frequency regulation mode; among which, frequency regulation market information includes total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value and unified clearing price.

[0025] In this embodiment, the specific steps for collecting historical operating condition information include collecting compressor inlet and outlet status parameters, combustion chamber inlet and outlet status parameters, gas turbine inlet and outlet status parameters, gas turbine output power, steam turbine output power, compressor IGV and other parameters by temperature, pressure, flow and power sensors.

[0026] S20. Establish a combined cycle physical model using historical operating condition data and obtain the combined cycle load characteristic curve.

[0027] In one specific embodiment, step S20 includes: 2.1) The historical operating condition data is saved to a subset constructed based on a preset load segment; the gas turbine load is the independent variable, and the dependent variable includes... m a , p 2. T 2. IGV m f , T 3. p 3. T 4. m t ,in m aThis refers to the compressor inlet air flow rate. p 2 represents the compressor discharge pressure. T 2 represents the compressor exhaust temperature, and IGV represents the adjustable guide vane opening. m f For natural gas flow rate, T 3 represents the turbine intake temperature. p 3 represents the turbine intake pressure. T 4 represents the turbine exhaust temperature. m t This refers to the turbine exhaust flow rate.

[0028] 2.2) Clean the data within the subset. The cleaned data is the data generated when the power generation unit is connected to the grid. In this step, the collected power generation unit operating data is cleaned to remove parameter information where the rotational speed deviates significantly from the grid frequency, ensuring that the data used below is generated when the power generation unit is operating normally in grid-connected mode.

[0029] 2.3) Establish a combined cycle physical model based on a thermodynamic simulation platform, and use the cleaned data to correct the model.

[0030] In this step, the combined cycle physical model is established using a thermodynamic simulation platform, such as Thermoflow, Ebsilon, or Simulink; no specific platform is required here. Then, the established physical model is corrected using the cleaned runtime data.

[0031] 2.4) Simulate different combined cycle load rates on a thermodynamic simulation platform to obtain the operating parameters of each component of the combined cycle under different loads.

[0032] 2.5) Plot the combined cycle load characteristic curve based on the operating condition parameters obtained from the simulation.

[0033] S30. Based on the discrete time series model, use historical frequency regulation market information and historical operating condition data to predict the next day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value, and unified clearing price, as the prediction results.

[0034] In one embodiment, step S30 includes the following steps: 3.1) Set the initial parameters of the discrete time series model, construct a test set using historical frequency regulation market information and historical operating condition data, input it into the discrete time series model, and output the corresponding predicted values; 3.2) Calculate the error between the predicted value and the actual value, use the error value to adjust the initial parameters, and predict the parameters for the next time node until the maximum time series is reached. Calculate the sum of the error values ​​in one parameter adjustment. 3.3) The adjusted parameters are used as the initial parameters of the discrete time series model for iterative calculation until the sum of the model error values ​​meets the preset conditions, and then the optimized discrete time series model is generated.

[0035] To aid understanding, the specific content of step S30 will be described in one particular embodiment: In this embodiment, the adaptive filtering method of the discrete-time series model is mainly used for prediction. Specifically, the basic prediction formula of the adaptive filtering method is: (1) The error calculation formula is: (2) The formula for adjusting the weights is: (3) In formulas (1) to (3), N is the number of weights, i = 1, 2, ..., N, t = N, N+1, ..., m, and m is the number of time series data. w i To adjust the weights before, k For learning constant, e i+1 The prediction error at time t+1, i For the adjusted weights, t+1 The predicted value at time t+1. w i The weights of the observations at time t-i+1 are... y t-i+1 The value is the observation at time t-i+1.

[0036] Parameter initialization; The number of weights in the algorithm is determined to be N=10, and the initial values ​​of the weights are set. w 1~ w 10 =0.1, learning constant k =0.2; Predict the time at t=N+1 using formula (1) t+1 The prediction error at time t=N+1 is calculated using formula (2). e i+1 ;The weights are determined by formula (3) w i Make adjustments; Repeat the above steps to predict the next time step. t+1 Adjusting weights w iThe weight adjustment is completed once the maximum time series m is reached, and the sum of the total prediction errors in one adjustment is calculated. Repeat the above steps using the new weights obtained in the previous step as new initial weights until the total prediction error is no longer significantly improved. At this point, it is considered that an optimal set of weights has been obtained. The discrete time series model yields parameters such as the next day's power generation unit output change, grid-connected electricity price, natural gas price, frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value, and unified clearing price.

[0037] S40. Based on the forecast results and the combined cycle load characteristic curve, calculate the generation unit cost, revenue, and gross profit under the continuous operation mode and AGC frequency regulation mode, as well as the frequency regulation mileage price at the revenue break-even point under the two modes, as the calculation results.

[0038] In this embodiment, calculating the cost of the power generation unit in continuous operation mode and the cost of the power generation unit in AGC automatic frequency regulation mode includes: Calculate the equivalent operating hours of the power generation unit based on its actual operating status. The maintenance costs of each component of the power generation unit under continuous operation mode and AGC automatic frequency regulation mode are calculated based on the equivalent operating hours, component maintenance costs, and component maintenance intervals.

[0039] In one specific embodiment, step S40 includes: 4.1) Based on the next day's power generation unit output change, on-grid electricity price, natural gas price forecast, and combined cycle load characteristics, calculate the power generation unit cost, revenue, and gross profit under continuous operation mode.

[0040] Specifically, the steps for calculating costs, revenues, and gross profit under continuous operation mode include: The total cost under continuous operation mode includes natural gas costs and component maintenance costs; The natural gas consumption is calculated based on the predicted output change of the power generation unit and the load characteristics of the power generation unit. The natural gas cost is the product of the natural gas consumption and the natural gas price. The main components of a gas turbine that require maintenance include the combustion chamber flame tube, transition section and fuel nozzle, turbine blades and stationary blades.

[0041] In continuous operation mode, the unit maintains normal load changes, which has virtually no impact on unit performance. The component maintenance cost calculation method is as follows: The number of rapid load changes and the actual operating time of the unit are equivalent to the number of operating hours, which are calculated by formula (4): (4) In the above formula, HO This refers to the equivalent operating hours of the unit. HG Where A represents the actual operating hours of the unit, A is the equivalent start-up correction factor, and D is the number of rapid load changes of the unit. LC j This is a correction factor for rapid load changes.

[0042] Furthermore, the load rapid change correction factor LC j It is calculated from the unit's rapid load change quantity and rapid load change rate; The component maintenance cost is calculated using formula (5); (5) In the above formula, c For component maintenance costs, HO This refers to the equivalent operating hours of the unit. C i Let i be the repair cost of the i-th component. T i Let i be the maintenance time interval for the i-th component. n This is the sequence of main components to be inspected.

[0043] The on-grid electricity fee for the power generation unit under continuous operation mode is calculated by multiplying the predicted power generation value by the current on-grid electricity price. The gross profit of the power generation unit under continuous operation mode is calculated by subtracting the total cost from the on-grid electricity fee.

[0044] 4.2) Based on the next day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, unified clearing price, predicted value of frequency regulation comprehensive performance K value, and combined cycle load characteristics, calculate the power generation unit cost, revenue, and gross profit under the AGC automatic frequency regulation mode.

[0045] In this embodiment, the steps for calculating cost, revenue, and gross profit under the AGC frequency modulation mode specifically include: The total cost under AGC frequency regulation mode also includes natural gas costs and component maintenance costs; The method for calculating natural gas costs is the same as that for continuous operation mode, and will not be repeated here. When the unit frequently and rapidly changes the load under AGC frequency regulation mode, the thermal stress of the gas turbine components, especially the high-temperature hot components, is very large, which has a significant impact on the life of the unit. The equivalent operating hours of the unit under AGC frequency regulation mode are calculated using formula (4); The component maintenance cost under AGC frequency modulation mode is calculated using formula (5); Furthermore, revenue under the AGC frequency regulation mode includes revenue from frequency regulation mileage and electricity fees charged to the grid; The revenue from frequency modulation mileage is calculated by multiplying the predicted mileage, the unified clearing price, and the comprehensive frequency modulation performance index. The method for calculating electricity charges for grid connection is the same as that for continuous operation mode, and will not be repeated here; The gross profit of the power generation unit under the AGC frequency regulation mode is calculated by subtracting the total cost from the total revenue under the AGC frequency regulation mode.

[0046] The break-even point frequency modulation mileage price is calculated based on the gross profit balance of AGC frequency modulation mode and continuous operation mode.

[0047] S50. Determine the pricing strategy and the declared price for frequency modulation mileage based on the calculation results.

[0048] In this step, based on the gross profit break-even point mileage quotation and the unified bid price forecast, it is determined whether the power generation unit should participate in the electricity market frequency regulation and the frequency regulation mileage bid price.

[0049] Specifically, by comparing the balance point frequency regulation mileage bid and the unified clearing price forecast, if the balance point frequency regulation mileage bid is greater than the unified clearing price forecast, it is considered that the benefit of participating in frequency regulation is lower than the benefit of not participating in frequency regulation, and frequency regulation should be abandoned in this case; if the balance point frequency regulation mileage bid is less than the unified clearing price forecast, it is considered that the benefit of participating in frequency regulation is higher than the benefit of not participating in frequency regulation, and when the power generation unit has frequency regulation capability and willingness, it can participate in the electricity market frequency regulation, but the bid should not be lower than the balance point frequency regulation bid and not higher than the unified clearing price.

[0050] The method provided in this application can provide power generation companies with reasonable frequency regulation market information forecasting, frequency regulation revenue calculation, and frequency regulation mileage price declaration, and provide power generation companies with reasonable pricing strategies to help them obtain more profits. It can be widely applied in the power market field and has strong scalability.

[0051] Please see Figure 2 One embodiment of this application also provides a frequency modulation ancillary service pricing determination system, including: Data acquisition unit 01 is used to collect historical frequency regulation market information and historical operating condition data of the power generation unit in continuous operation mode and AGC automatic frequency regulation mode; among which, frequency regulation market information includes total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value and unified clearing price; Curve acquisition unit 02 is used to establish a combined cycle physical model using historical operating condition data and obtain the combined cycle load characteristic curve; Prediction unit 03 is used to predict the next day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value and unified clearing price based on the discrete time series model using historical frequency regulation market information and historical operating condition data, and the prediction results are used as the prediction results; Calculation unit 04 is used to calculate the cost, revenue and gross profit of the power generation unit in continuous operation mode and AGC frequency regulation mode, as well as the frequency regulation mileage price at the profit break-even point in the two modes, based on the prediction results and the combined cycle load characteristic curve. The quotation scheme determination unit 05 is used to determine the quotation strategy and the declared price for frequency modulation mileage based on the calculation results.

[0052] It is understood that the frequency modulation ancillary service pricing determination system provided in this embodiment is used to execute the frequency modulation ancillary service pricing determination method as described in any of the above embodiments and achieve the same effect, which will not be further elaborated here.

[0053] Please see Figure 3 One embodiment of this application provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the frequency modulation ancillary service pricing method as described above.

[0054] The processor controls the overall operation of the terminal device to complete all or part of the steps of the frequency modulation auxiliary service quotation determination method described above. The memory stores various types of data to support the operation of the terminal device; this data may include, for example, instructions for any application or method operating on the terminal device, as well as application-related data. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0055] In an exemplary embodiment, the terminal device may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the frequency modulation auxiliary service pricing determination method as described in any of the foregoing embodiments and achieve the same technical effects as the methods described above.

[0056] In another exemplary embodiment, a computer-readable storage medium including a computer program is also provided. When executed by a processor, the computer program implements the steps of the frequency modulation ancillary service pricing determination method as described in any of the foregoing embodiments. For example, the computer-readable storage medium may be the aforementioned memory including the computer program, which may be executed by a processor of a terminal device to complete the frequency modulation ancillary service pricing determination method as described in any of the foregoing embodiments and achieve the same technical effects as the described method.

[0057] The above description is the preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications are also considered to be within the scope of protection of this application.

Claims

1. A method for determining a price quote for frequency modulation ancillary services, characterized in that, include: Collect historical frequency regulation market information and historical operating condition data of power generation units in continuous operation mode and AGC automatic frequency regulation mode; among which, frequency regulation market information includes total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value and unified clearing price; A combined cycle physical model was established using historical operating condition data to obtain the combined cycle load characteristic curve; Based on the discrete time series model, the following day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value, and unified clearing price are predicted using historical frequency regulation market information and historical operating condition data. Based on the forecast results and the combined cycle load characteristic curve, the generation unit cost, revenue and gross profit in continuous operation mode and AGC frequency regulation mode are calculated, as well as the frequency regulation mileage price at the revenue break-even point in the two modes, as the calculation results. The pricing strategy and the declared price for frequency modulation mileage will be determined based on the calculation results; The calculation of generation unit costs, revenues, and gross profits under continuous operation mode and AGC frequency regulation mode, based on the forecast results and combined cycle load characteristic curves, includes: Based on the next day's changes in power generation unit output, on-grid electricity price, natural gas price forecasts, and combined cycle load characteristics, calculate the power generation unit cost, revenue, and gross profit under continuous operation mode; Based on the next day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, unified clearing price, predicted value of frequency regulation comprehensive performance K value, and combined cycle load characteristics, calculate the power generation unit cost, revenue, and gross profit under the AGC automatic frequency regulation mode; The calculation of the power generation unit cost in continuous operation mode and the calculation of the power generation unit cost in AGC automatic frequency regulation mode include: Calculate the equivalent operating hours of the power generation unit based on its actual operating status. The maintenance costs of each component of the power generation unit under continuous operation mode and AGC automatic frequency regulation mode are calculated based on the equivalent operating hours, component maintenance costs, and component maintenance intervals. The equivalent operating hours are calculated using the following formula: ； In the above formula, HO This refers to the equivalent operating hours of the unit. HG Where A represents the actual operating hours of the unit, A is the equivalent start-up correction factor, and D is the number of rapid load changes of the unit. LC j Correction factor for rapid load changes; The component maintenance cost is calculated using the following formula: ； In the above formula, c For component maintenance costs, HO This refers to the equivalent operating hours of the unit. C i Let i be the repair cost of the i-th component. T i Let i be the maintenance time interval for the i-th component. n This is the sequence of main components to be inspected.

2. The method for determining the price of frequency modulation ancillary services according to claim 1, characterized in that, The establishment of a combined cycle physical model using historical operating condition data includes: The historical operating condition data is saved to a subset constructed based on a preset load segment; The data within the subset is cleaned, and the cleaned data is the data generated when the power generation unit is connected to the grid. A combined cycle physical model was established based on a thermodynamic simulation platform, and the model was corrected using cleaned data.

3. The method for determining the price of frequency modulation ancillary services according to claim 2, characterized in that, The acquisition of the combined cycle load characteristic curve includes: The combined cycle under different load rates was simulated on a thermodynamic simulation platform to obtain the operating parameters of each component of the combined cycle under different loads. Plot the combined cycle load characteristic curve based on the operating condition parameters obtained from the simulation.

4. The method for determining the price of frequency modulation ancillary services according to claim 1, characterized in that, After obtaining the combined cycle load characteristic curve, the method further includes obtaining a discrete time series model, including: Set the initial parameters of the discrete time series model, construct a test set using historical frequency regulation market information and historical operating condition data, input it into the discrete time series model, and output the corresponding predicted values; Calculate the error between the predicted and actual values, adjust the initial parameters using the error values, and predict the parameters for the next time point until the maximum time series is reached. Calculate the sum of the error values ​​in one parameter adjustment. The adjusted parameters are used as the initial parameters of the discrete time series model for iterative calculation until the sum of the model error values ​​meets the preset conditions, thus generating the optimized discrete time series model.

5. The method for determining the price of frequency modulation ancillary services according to claim 1, characterized in that, The process of determining the pricing strategy and the declared price for FM mileage based on the calculation results includes: Based on the gross profit break-even point mileage quotation and the unified bid price forecast, determine whether the power generation unit should participate in the electricity market frequency regulation and the mileage quotation price.

6. A frequency modulation ancillary service pricing determination system, characterized in that, include: The data acquisition unit is used to collect historical frequency regulation market information and historical operating condition data of the power generation unit in continuous operation mode and AGC automatic frequency regulation mode; among which, the frequency regulation market information includes total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value and unified clearing price; The curve acquisition unit is used to establish a combined cycle physical model using historical operating condition data and to obtain the combined cycle load characteristic curve. The forecasting unit is used to predict the next day's changes in power generation unit output, on-grid electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, comprehensive frequency regulation performance K value, and unified clearing price based on a discrete time series model using historical frequency regulation market information and historical operating condition data. The calculation unit is used to calculate the cost, revenue, and gross profit of the power generation unit under continuous operation mode and AGC frequency regulation mode, as well as the frequency regulation mileage price at the break-even point in both modes, based on the forecast results and the combined cycle load characteristic curve. The calculation of the cost, revenue, and gross profit of the power generation unit under continuous operation mode and AGC frequency regulation mode, based on the forecast results and the combined cycle load characteristic curve, includes: calculating the cost, revenue, and gross profit of the power generation unit under continuous operation mode based on the next day's power generation unit output change, on-grid electricity price, natural gas price forecast, and combined cycle load characteristics; and calculating the cost, revenue, and gross profit of the power generation unit under continuous operation mode based on the next day's power generation unit output change, on-grid electricity price, natural gas price forecast, and combined cycle load characteristics. Using electricity price, natural gas price, total frequency regulation capacity, frequency regulation mileage, unified clearing price, predicted frequency regulation performance K-value, and combined cycle load characteristics, calculate the generation unit cost, revenue, and gross profit under AGC (Automatic Frequency Control) mode. The calculation of generation unit costs under continuous operation mode and AGC mode includes: calculating the equivalent operating hours of the generation unit based on its actual operating conditions; and calculating the maintenance costs of each component of the generation unit under both continuous operation and AGC modes based on the equivalent operating hours, component maintenance costs, and component maintenance intervals. The equivalent operating hours are calculated using the following formula: In the above formula, HO This refers to the equivalent operating hours of the unit. HG Where A represents the actual operating hours of the unit, A is the equivalent start-up correction factor, and D is the number of rapid load changes of the unit. LC j The load change correction factor is used; component maintenance costs are calculated using the following formula: In the above formula, c represents the component maintenance cost, HO represents the equivalent operating hours of the unit, and C i Let T be the repair cost of the i-th component. i Let be the maintenance time interval for the i-th component, and n be the sequence of major maintenance components; The pricing scheme determination unit is used to determine the pricing strategy and the declared price for frequency regulation mileage based on the calculation results.

7. A terminal device, characterized in that, include: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the frequency modulation ancillary service pricing method as described in any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the frequency modulation ancillary service pricing method as described in any one of claims 1-5.

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