Method for Optimizing and Improving Primary Frequency Regulation Performance under Unit Heating Mode

Abstract

The present application provides a method for optimizing and improving the primary frequency modulation performance under the unit heating mode, which relates to the technical field of unit frequency modulation and includes: installing a frequency modulation analog input card and an output card; receiving the unit operation data stream collected by the DCS system for frequency modulation analysis; sending the primary frequency modulation control instruction to the EGV valve regulation loop; dynamically correcting the primary frequency modulation control instruction based on the extraction steam valve compensation amount function and the deviation value; superimposing the primary frequency modulation corrected control instruction on the output instruction of the EGV valve regulation loop to conduct a frequency modulation disturbance test and performance optimization control on the target unit. Through the present application, the technical problem in the prior art that due to the large heating load and frequent power grid frequency fluctuations during the primary frequency modulation process, the frequency modulation qualification rate of the heating unit is relatively low can be solved. By precisely dynamically adjusting the frequency modulation control instruction, the frequency modulation qualification rate of the heating unit under the condition of frequent frequency fluctuations is improved.

Description

Technical Field

[0001] This application relates to the technical field of unit frequency regulation, and particularly to a method for optimizing and improving the primary frequency regulation performance under the unit heating mode. Background Art

[0002] The primary frequency regulation of the power system means that when the grid frequency deviates, the generating units can quickly respond, adjust the output power to stabilize the frequency, so as to ensure the safe and stable operation of the power system. Once the grid frequency deviates from the standard value, the primary frequency regulation system will automatically detect and adjust the output power of the unit according to the preset frequency regulation curve to quickly make up for the grid frequency deviation. As the first line of defense in the automatic frequency control system, the primary frequency regulation requires the unit to have high precision and fast response ability to cope with frequent power load fluctuations. However, in the cogeneration mode, the heating unit not only needs to meet the power demand, but also needs to maintain the heating quality to meet the heat energy demand of heat users. Therefore, the implementation of primary frequency regulation under the heating mode faces more complex challenges. In practical applications, due to the large heating load and frequent grid frequency fluctuations, the qualified rate of frequency regulation of heating units is often low. The frequency fluctuation requires the unit to have flexible frequency regulation ability, while the rigidity limitation of heating demand restricts the flexibility of frequency regulation. In addition, the dynamic response lag of the heating system also leads to untimely adjustment of the output power during the frequency regulation process, further reducing the qualified rate of frequency regulation.

[0003] In summary, in the prior art, there is a technical problem that due to large load changes and frequent grid frequency fluctuations in the heating mode, the primary frequency regulation performance is limited, resulting in a low qualified rate of frequency regulation of heating units. Summary of the Invention

[0004] The purpose of this application is to provide a method for optimizing and improving the primary frequency regulation performance under the unit heating mode, so as to solve the technical problem in the prior art that due to large load changes and frequent grid frequency fluctuations in the heating mode, the primary frequency regulation performance is limited, resulting in a low qualified rate of frequency regulation of heating units.

[0005] In view of the above problems, this application provides a method for optimizing and improving the primary frequency regulation performance under the unit heating mode.

[0006] In a first aspect, the present application provides a method for optimizing and improving the primary frequency regulation performance in the unit heating mode. The method for optimizing and improving the primary frequency regulation performance in the unit heating mode is implemented through a system for optimizing and improving the primary frequency regulation performance in the unit heating mode. Among them, the method for optimizing and improving the primary frequency regulation performance in the unit heating mode includes: installing a frequency modulation analog input card and a frequency modulation analog output card in the unit primary frequency regulation homologous device, where the unit primary frequency regulation homologous device exchanges data with the DCS system through cable laying; receiving the unit operation data stream collected by the DCS system through the frequency modulation analog input card, performing frequency modulation analysis on the unit operation data stream based on the heating frequency modulation analysis module, and generating a primary frequency regulation control instruction for the extraction steam control valve for heating; based on the frequency modulation analog output card, sending the primary frequency regulation control instruction to the EGV valve regulation loop of the DEH system, and at the same time performing compensation characteristic analysis on the extraction steam control valve for heating to determine the extraction steam control valve compensation amount function; based on the extraction steam control valve compensation amount function and the deviation value between the grid load instruction and the actual load, dynamically correcting the primary frequency regulation control instruction to obtain a primary frequency regulation corrected control instruction; superimposing the primary frequency regulation corrected control instruction on the output instruction of the EGV valve regulation loop to perform frequency modulation disturbance testing and performance optimization control on the target unit.

[0007] In a second aspect, the present application further provides a system for optimizing and improving the primary frequency regulation performance in the unit heating mode, which is used to execute the method for optimizing and improving the primary frequency regulation performance in the unit heating mode as described in the first aspect. Among them, the system for optimizing and improving the primary frequency regulation performance in the unit heating mode includes: a card installation module, which is used to install a frequency modulation analog input card and a frequency modulation analog output card in the unit primary frequency regulation homologous device, where the unit primary frequency regulation homologous device exchanges data with the DCS system through cable laying; an instruction generation module, which is used to receive the unit operation data stream collected by the DCS system through the frequency modulation analog input card, perform frequency modulation analysis on the unit operation data stream based on the heating frequency modulation analysis module, and generate a primary frequency regulation control instruction for the extraction steam control valve for heating; a compensation analysis module, which is used to send the primary frequency regulation control instruction to the EGV valve regulation loop of the DEH system based on the frequency modulation analog output card, and at the same time perform compensation characteristic analysis on the extraction steam control valve for heating to determine the extraction steam control valve compensation amount function; an instruction correction module, which is used to dynamically correct the primary frequency regulation control instruction based on the extraction steam control valve compensation amount function and the deviation value between the grid load instruction and the actual load to obtain a primary frequency regulation corrected control instruction; a performance optimization module, which is used to superimpose the primary frequency regulation corrected control instruction on the output instruction of the EGV valve regulation loop to perform frequency modulation disturbance testing and performance optimization control on the target unit.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] By installing a frequency modulation analog input card and a frequency modulation analog output card in the unit's primary frequency modulation homologous device, wherein the unit's primary frequency modulation homologous device is connected to the DCS system by cables for data exchange; receiving the unit operation data stream collected by the DCS system through the frequency modulation analog input card, performing frequency modulation analysis on the unit operation data stream based on the heating frequency modulation analysis module to generate a primary frequency modulation control instruction for the extraction steam regulating valve of the heating system; sending the primary frequency modulation control instruction to the EGV valve regulation loop of the DEH system based on the frequency modulation analog output card, and at the same time performing compensation characteristic analysis on the extraction steam regulating valve to determine the extraction steam regulating valve compensation amount function; dynamically correcting the primary frequency modulation control instruction based on the extraction steam regulating valve compensation amount function, the deviation value between the power grid load instruction and the actual load, to obtain a primary frequency modulation corrected control instruction; superimposing the primary frequency modulation corrected control instruction on the output instruction of the EGV valve regulation loop to perform frequency modulation disturbance testing and performance optimization control on the target unit. That is to say, through the frequency modulation analog input and output cards, the real-time unit operation data stream is received, and an accurate frequency modulation control instruction is generated through the heating frequency modulation analysis module. The frequency modulation control instruction is accurately dynamically adjusted by using the dynamic correction function and compensation characteristic analysis, so that the frequency modulation instruction better meets the actual load demand, reduces the frequency deviation, and thus improves the frequency modulation qualification rate of the heating unit under the condition of frequent frequency fluctuations.

[0010] The above description is only an overview of the technical solutions of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the following specific embodiments of this application are specifically given. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of this application, nor is it used to limit the scope of this application. Other features of this application will become easily understood through the following description. Brief Description of the Drawings

[0011] In order to more clearly illustrate the technical solutions in this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only exemplary, and for those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0012] Figure 1 It is a schematic flow chart of the method for optimizing and improving the primary frequency modulation performance in the heating mode of the unit of this application;

[0013] Figure 2This is a schematic structural diagram of the system for optimizing and improving the primary frequency regulation performance under the heating mode of the unit in this application.

[0014] Explanation of reference numerals: The card installation module 11, the instruction generation module 12, the compensation analysis module 13, the instruction correction module 14, and the performance optimization module 15. Specific implementation manners

[0015] This application provides a method for optimizing and improving the primary frequency regulation performance under the heating mode of the unit, which solves the technical problem in the prior art that due to large load changes and frequent power grid frequency fluctuations under the heating mode, the primary frequency regulation performance is restricted, resulting in a low qualification rate of frequency regulation for heating units. Through the frequency modulation analog input and output cards, the real-time operation data stream of the unit is received, and an accurate frequency modulation control instruction is generated through the heating frequency modulation analysis module. The dynamic correction function and compensation characteristic analysis are used to precisely dynamically adjust the frequency modulation control instruction, making the frequency modulation instruction more in line with the actual load demand, reducing the frequency deviation, and thus improving the qualification rate of frequency regulation for heating units under the condition of frequent frequency fluctuations.

[0016] Next, the technical solutions in this application will be described clearly and completely with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited by the example embodiments described here. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of this application. In addition, it should be noted that for the sake of description, only the parts related to this application are shown in the accompanying drawings rather than all of them.

[0017] Example 1, please refer to the attached Figure 1 This application provides a method for optimizing and improving the primary frequency regulation performance under the heating mode of the unit. Among them, the method for optimizing and improving the primary frequency regulation performance under the heating mode of the unit specifically includes the following steps:

[0018] Step 1: Install a frequency modulation analog input card and a frequency modulation analog output card in the primary frequency regulation homologous device of the unit. Among them, the primary frequency regulation homologous device of the unit exchanges data with the DCS system by laying cables.

[0019] Specifically, the primary frequency regulation homologous device of the unit refers to the equipment used to implement the primary frequency regulation function in thermal power generating units. Primary frequency regulation means that when the grid frequency deviates from the rated value, the generating unit restricts the change of the grid frequency by automatically controlling the increase or decrease of the active power, thereby maintaining the stability of the grid frequency. The homologous device usually refers to all control devices related to the change of the grid frequency during the frequency regulation process, which can automatically adjust the power output according to the fluctuation of the grid frequency, meaning that this device can work in coordination with other relevant systems (such as the grid, the unit speed control system, etc.) to ensure the accuracy and real-time of frequency regulation. By installing a frequency modulation analog input card and an output card in the primary frequency regulation homologous device, and through the real-time exchange of data acquisition and control instructions, the automatic control of the unit frequency regulation is realized.

[0020] The frequency modulation analog input card is a hardware component responsible for receiving analog signals transmitted from a data acquisition system (such as a DCS system), including but not limited to load instructions, actual load, extraction steam flow, extraction steam pressure, turbine master control opening, and frequency modulation quantity, etc. An analog quantity refers to a signal that can change continuously, which is more suitable for describing continuously changing physical quantities compared to digital signals. For example, the motor speed, temperature, etc. can be transmitted through analog signals, and the frequency modulation analog input card will capture these signals and transmit them to the frequency modulation device. The frequency modulation analog output card is a hardware component used to send frequency modulation control instructions to other control systems (such as the DEH system), converting the digital signal in the frequency modulation device into an analog signal and then transmitting it to the specific control loop of the unit (such as the EGV valve regulation loop), thereby realizing the real-time adjustment of the unit output power.

[0021] DCS is a distributed control system, an automated system for industrial control, responsible for collecting the operation data stream of the unit and realizing the distributed management of the entire production process. Data exchange refers to the interconnection of data between different devices through media such as networks and cables, that is, the primary frequency regulation homologous device and the DCS system exchange data through laying cables, thereby transmitting the unit operation status and frequency regulation instructions in real time. By installing a frequency modulation analog input card and an output card and connecting them to the DCS system, it is ensured that when the grid frequency fluctuates, the frequency regulation instructions can reach the control system quickly.

[0022] Step 2: Receive the unit operation data stream collected by the DCS system through the frequency modulation analog input card, and perform frequency modulation analysis on the unit operation data stream based on the heating frequency modulation analysis module to generate a primary frequency regulation control instruction for the heating extraction steam regulating valve.

[0023] Specifically, the DCS system continuously monitors the operating parameters of the unit through various sensors connected to the unit, including key parameters such as load command, actual load, extraction steam flow rate, extraction steam pressure, main steam valve opening of the steam turbine, and frequency modulation amount, and transmits the real-time data stream of the unit operation to the frequency modulation analog input card. The data stream of the unit operation refers to various operating condition data collected in real time from various parts of the unit (such as motors, steam engines, speed control systems, etc.). Among them, the load command is the target power output command issued by the dispatcher to the unit, usually based on the grid demand or the requirements of system dispatching, telling the unit how much power needs to be output. The actual load is the current actual output power of the unit, reflecting the operating state and load change of the unit. The extraction steam flow rate is the flow rate of steam extracted from the unit and used for other purposes (such as heating), which usually affects the power output of the unit because part of the steam is used as heat output instead of power generation. The extraction steam pressure is the pressure of the steam extracted from the steam system of the unit, which is usually used to control the steam flow and adjust the power output of the unit, and has a direct impact on the overall thermal efficiency and power output of the unit. The main steam valve opening of the steam turbine refers to the opening of the steam valve, that is, the opening of the valve that controls the steam flow into the steam turbine. By adjusting the main steam valve opening, the output power of the unit can be adjusted. The frequency modulation amount is the amount of grid frequency deviation, reflecting the difference between the current grid frequency and the standard frequency, and is an important parameter used to control the output power of the unit during the primary frequency modulation process.

[0024] The heating frequency modulation analysis module refers to a software module used to analyze the unit operation data and generate frequency modulation control instructions, including a constructed extraction steam valve frequency modulation control network library, that is, a database storing different frequency modulation control strategies and adjustment parameters, containing control networks designed according to different adjustment requirements (such as load changes, grid frequency fluctuations, etc.), covering aspects such as direction control, opening adjustment, and adjustment rate. According to the attribute factor parameters of the heating extraction steam valve, the most suitable target extraction steam valve frequency modulation control network is matched from the heating frequency modulation analysis module. After standardizing, abnormally identifying, and preprocessing the data stream of the unit operation, it is input into the target extraction steam valve frequency modulation control network for frequency modulation analysis to generate primary frequency modulation control instructions, such as adjusting the opening or rate of the extraction steam valve. The core of frequency modulation analysis is to generate frequency modulation control instructions according to the frequency change and load change of the grid to ensure that the unit can quickly adjust and participate in the primary frequency modulation process. That is to say, according to the operation data of the unit, such as load, extraction steam flow rate, pressure, etc., the required frequency modulation control amount is calculated, which is usually closely related to the frequency change of the grid, aiming to ensure the stability of the grid frequency. For example, if the unit load suddenly increases, the frequency modulation analysis module needs to analyze the amplitude of the load increase and decide whether to adjust the extraction steam flow rate or the valve opening to maintain the grid frequency stability.

[0025] Through frequency modulation analysis, the frequency modulation control quantity is calculated to ensure that the unit can respond correctly when the grid frequency fluctuates. According to the frequency modulation analysis results, control commands are sent to the unit with the aim of adjusting the opening or flow rate of the extraction steam control valve, so as to adjust the power output of the unit and thus respond to the change of the grid frequency. A primary frequency modulation control command is generated to specify the operation of adjusting the extraction steam control valve, such as adjusting the opening of the valve to increase or decrease the extraction steam flow rate, and further adjusting the power output of the unit. The unit data is received through the frequency modulation analog input card, and these data are analyzed by the heating frequency modulation analysis module. The generated frequency modulation control command can accurately adjust the opening of the extraction steam control valve, helping the unit to make an appropriate response when the grid frequency fluctuates, thereby improving the stability and response speed of the unit during primary frequency modulation.

[0026] Step 3: Based on the frequency modulation analog output card, the primary frequency modulation control command is sent to the EGV valve regulation loop of the DEH system, and at the same time, the compensation characteristic analysis of the heating extraction steam control valve is carried out to determine the extraction steam control valve compensation quantity function.

[0027] Specifically, the primary frequency modulation control command is sent to the EGV valve regulation loop of the DEH system through the frequency modulation analog output card. The DEH system controls the steam flow rate and power output of the unit by receiving the frequency modulation control command. The DEH system adjusts the EGV valve according to the primary frequency modulation control command to respond to the change of the grid frequency. The EGV valve is used to regulate the steam flow rate of the unit, and its opening is controlled by the regulation loop to achieve power regulation and frequency control. Through the primary frequency modulation control command, the EGV valve can quickly adjust the flow rate to meet the requirements of the grid frequency. This is because the performance of the extraction steam control valve is not linear, and there is a certain non-linear relationship between the opening of the valve and the flow rate. Therefore, it is necessary to carry out the compensation characteristic analysis of the heating extraction steam control valve to ensure the accuracy and stability of the regulation system. The compensation characteristic analysis refers to analyzing the behavior of the extraction steam control valve under different opening and flow rate conditions, evaluating its regulation performance and response speed, which helps to correct the system deviation in time during the regulation process to ensure precise control.

[0028] According to the compensation characteristic analysis, a compensation quantity function for the extraction steam control valve is determined, which is used to correct the response of the extraction steam control valve during the unit frequency regulation process to ensure that the output of the unit is consistent with the requirements of the grid frequency. By collecting the flow record data set and the load deviation data set of the extraction steam control valve for heating, the flow characteristic analysis is carried out on the flow record data set to obtain the valve opening-flow characteristic curve. The valve opening-flow characteristic curve is differentiated to obtain the flow change rate, and the reciprocal of the flow change rate is obtained by using the gain compensation method to determine the flow compensation coefficient. The flow compensation coefficient is multiplied by the original valve opening to obtain the corrected valve flow. The function fitting is carried out on the flow record data set and the load deviation data set to construct the load deviation-flow change conversion function. According to the valve opening-flow characteristic curve, the corrected valve flow and the load deviation-flow change conversion function, the compensation quantity function for the extraction steam control valve is jointly established. The compensation quantity function refers to the mathematical formula calculated according to the actual load and the valve characteristics, which is used to correct the frequency regulation control command. By sending the primary frequency regulation control command to the EGV valve regulation loop, the power output of the unit can be accurately adjusted to respond to the change of the grid frequency, the compensation characteristic analysis of the extraction steam control valve is carried out, and the regulation error caused by the non-linear characteristics of the valve is eliminated to ensure that the change of the flow rate is accurately matched with the control command.

[0029] Step 4: Based on the compensation quantity function of the extraction steam control valve and the deviation value between the grid load command and the actual load, the primary frequency regulation control command is dynamically corrected to obtain the primary frequency regulation corrected control command.

[0030] Specifically, the compensation quantity function of the extraction steam control valve is a correction function calculated according to the valve characteristics (such as the non-linear relationship between flow and opening) and the load change during the heating frequency regulation process, which eliminates the errors that occur during the regulation process of the extraction steam control valve and ensures the accuracy of the regulation effect. The compensation quantity function combines factors such as the opening, flow rate, and load change of the extraction steam control valve, and corrects the frequency regulation control command by calculating the compensation quantity to ensure the regulation accuracy. The compensation quantity function can provide a correction quantity to better respond to the change of the grid frequency without affecting the heating quality. The grid load command is the load target value given by the grid dispatching center, which is usually based on the frequency stability requirements of the grid and indicates the power load required by the grid. The actual load is the power load currently actually output by the unit, which may deviate from the grid load command due to system fluctuations or other factors. Calculate the deviation value, that is, the difference between the grid load command and the actual load, which represents the error between the grid demand and the unit output and reflects the difference between the current unit and the grid load demand.

[0031] According to the deviation value between the grid load command and the actual load, as well as the compensation quantity function, the primary frequency modulation control command is dynamically adjusted to make the load output of the unit more in line with the frequency requirements of the grid, and a quick response is made according to the actual load fluctuations. Once the deviation between the grid load command and the actual load is obtained, the primary frequency modulation control command is corrected through the compensation quantity function, so that the unit regulation command can reflect the load deviation in real time and adjust the operating state of the unit. For example, if the grid load command indicates that power needs to be increased while the actual load is low, the compensation quantity function will calculate the required increased flow / steam volume, and then correct the frequency modulation control command to ensure that the unit responds to the grid demand in a timely manner. Through the dynamic correction of the compensation quantity function and the load deviation value, a primary frequency modulation correction control command is finally obtained, which is used for fine adjustment of the unit to meet the grid load demand and optimize the frequency modulation effect. The primary frequency modulation correction control command is a corrected control signal that accurately reflects the requirements of grid frequency fluctuations and unit load changes. The corrected command will be transmitted to the regulation system (such as the DEH system) to make corresponding adjustments to the extraction steam control valve, EGV valve, etc. By dynamically correcting the primary frequency modulation control command, fine adjustment of the unit's frequency modulation effect can be achieved, ensuring that the unit responds more precisely to grid frequency fluctuations.

[0032] Step Five: Superimpose the primary frequency modulation correction control command on the output command of the EGV valve regulation loop to conduct a frequency modulation disturbance test and performance optimization control on the target unit.

[0033] Specifically, the primary frequency regulation correction control instruction is superimposed on the EGV regulation output instruction of the EGV valve regulation loop of the DEH system. The output instruction of the EGV valve will be further adjusted to account for the deviation between the grid frequency change and the actual load. The output instruction of the EGV valve regulation loop is the initial regulation instruction generated by the EGV valve according to the unit load demand and other control signals (such as the target power output), which is used to adjust the valve opening degree, thereby adjusting the output power of the unit. The frequency modulation disturbance test is used to verify the response ability of the unit in the face of grid frequency fluctuations. The frequency modulation disturbance test is a step to evaluate and verify the response ability of the unit, aiming to check the regulation effect and stability of the unit under frequency fluctuations or grid disturbances. By simulating grid frequency fluctuations (such as frequency increase or decrease), observe how the unit adjusts its output power to maintain frequency stability. Based on the feedback results of the frequency modulation disturbance test, adjust the control strategy to achieve the best frequency modulation effect. Ensure that the unit can respond to grid frequency changes in a timely and accurate manner during actual operation, and achieve efficient frequency modulation ability. The focus of the optimized control is to improve the frequency modulation response speed, stability and power adjustment accuracy of the unit, thereby reducing the impact of grid frequency fluctuations on the heating system and improving the reliability of the system. Through performance optimization control, ensure that the unit can operate stably under various load and frequency fluctuation conditions, maximize the frequency modulation ability, meet the grid frequency regulation requirements, and ensure that the heating task is not affected. The optimized control strategy will enhance the frequency modulation ability of the unit, especially when the grid frequency fluctuates greatly, ensure that the unit can provide or cut power in a timely manner, safeguard the grid stability, and ensure the completion of the heating task.

[0034] Further, step two of this application includes:

[0035] Obtain a data standardization program, standardize the format of the unit operation data stream based on the data standardization program to obtain a standard unit operation data stream; identify abnormal data from the standard unit operation data stream to obtain abnormal unit operation data, where the abnormal unit operation data includes inconsistent data and out-of-threshold data; determine a data preprocessing step according to the abnormal unit operation data, and preprocess the abnormal unit operation data according to the data preprocessing step to obtain an available unit operation data stream; call the target extraction steam control valve frequency modulation control network, and perform frequency modulation analysis on the available unit operation data stream based on the target extraction steam control valve frequency modulation control network, and output the primary frequency regulation control instruction.

[0036] Specifically, the data standardization procedure is a process for consistent processing of data, aiming to convert data from different sources or in different formats into a unified format for subsequent analysis. Standardization usually includes operations such as defining data standards (such as data format, dimension, precision, etc.), data cleaning, and numerical conversion (such as unit conversion, numerical range scaling). Format standardization is performed on the unit operation data stream to obtain a standard unit operation data stream. For example, load data may come from different sensors, and data standardization can unify the dimensions of all data and convert all data into the same unit and precision. Anomaly data identification is performed on the standard unit operation data stream, that is, specific algorithms or logics are used to detect outlier values or data points that do not conform to the expected pattern in the data stream, including inconsistent data and data beyond the threshold, to obtain abnormal unit operation data. Inconsistent data refers to data points in the data stream that are inconsistent or contradictory with other data, which may be caused by data transmission errors or system failures; data beyond the threshold refers to data points whose data values exceed the preset safety range or threshold.

[0037] According to the identified abnormal data, preprocessing steps are determined to correct or filter the abnormal data, such as replacing outlier values with reasonable estimated values, correcting sensor readings, etc. For example, for the extraction steam pressure beyond the range, an interpolation algorithm is used to supplement appropriate values; for mutant data, data smoothing or filtering algorithms are used to remove noise. After preprocessing the abnormal unit operation data, an available unit operation data stream is obtained. The pre-established target extraction steam control valve frequency modulation control network is called to perform frequency modulation analysis on the available unit operation data stream. Frequency modulation analysis is performed according to real-time parameters in the data stream (such as load command, actual load, extraction steam flow, etc.) to generate corresponding primary frequency modulation control commands. Frequency modulation analysis refers to using a deep learning network to process and analyze the unit operation data stream to determine the optimal frequency modulation control network, that is, the target extraction steam control valve frequency modulation control network. The target extraction steam control valve frequency modulation control network outputs primary frequency modulation control commands, such as adjusting the opening or rate of the extraction steam control valve. Through data standardization, the unit operation data is uniformly processed, abnormal data is removed and preprocessed, so as to obtain a reliable available data stream. Through the frequency modulation control network, frequency modulation analysis is performed on these data, and finally frequency modulation control commands are output to ensure that the unit can efficiently and stably regulate when participating in primary frequency modulation and meet the requirements of power grid frequency stability.

[0038] Furthermore, the present application further includes the following steps:

[0039] Obtain the unit operation frequency regulation database through data mining technology. The unit operation frequency regulation database includes historical unit operation data and corresponding extraction steam control valve frequency regulation control data that meet the frequency regulation target; obtain the attribute factor information of the extraction steam control valve, where the attribute factor information of the extraction steam control valve includes size specification attributes, flow regulation attributes, and working performance attributes; classify and label the unit operation frequency regulation database according to the attribute factor information of the extraction steam control valve to obtain a multi-attribute parameter control valve frequency regulation data set; use a deep learning network structure to perform frequency regulation training integration and matching calls on the multi-attribute parameter control valve frequency regulation data set respectively to obtain the target extraction steam control valve frequency regulation control network.

[0040] Specifically, the unit operation frequency regulation database is a database that stores historical unit operation data and corresponding frequency regulation control data. The information contained helps analyze and evaluate the frequency regulation effect of the unit under different working conditions. The data types include historical unit operation data (such as load, extraction steam flow, etc.) and corresponding extraction steam control valve frequency regulation control data that meet the frequency regulation target. The frequency regulation target refers to the requirements of the power grid for the unit's frequency regulation response, that is, when the frequency deviates, the unit stabilizes the power grid frequency by quickly responding and adjusting the output. It usually includes specific frequency deviation ranges and response time requirements. The extraction steam control valve frequency regulation control data refers to the specific data for controlling the extraction steam control valve to perform frequency adjustment, including information on relevant parameters such as valve opening, extraction steam flow, and response time under different operating states and different load conditions. The extraction steam control valve frequency regulation control data that meets the frequency regulation target refers to the data screened from historical data that can effectively achieve the frequency regulation target. Data mining technology is a method for extracting useful information and patterns from a large amount of data. It analyzes historical data through means such as statistical analysis and machine learning to discover potential laws and correlations therein.

[0041] Collect a large amount of data from the unit's historical operation records, including load commands, actual load, extraction steam flow, extraction steam pressure, frequency regulation amount, etc. Use data mining technology (such as clustering, classification, and regression analysis, etc.) to clean and analyze the historical data. Use tools such as SQL and the pandas library in Python to implement data mining, and screen out key parameters that affect the frequency regulation effect (such as load changes, extraction steam flow, valve opening, etc.).

[0042] Obtain the attribute factor information of the extraction steam control valve, including the valve size, flow regulation ability, and working performance. Specifically, the size attribute affects the flow range of the valve, the flow regulation attribute determines the flow regulation accuracy of the valve at different openings, and the working performance indicates the pressure resistance and temperature resistance characteristics of the valve. The attribute factor information of the extraction steam control valve refers to a set of parameters that describe the performance and characteristics of the control valve, usually including size specifications (such as valve diameter, length, etc.), flow regulation (the flow regulation ability of the valve at different openings), and working performance (such as pressure resistance, temperature resistance characteristics, response time, leakage rate, etc.).

[0043] Classify and label the data in the unit operation frequency modulation database according to the extraction steam control valve attribute factor information to form a multi-attribute parameter control valve frequency modulation data set. The multi-attribute parameter control valve frequency modulation data set is a data set formed after classifying and labeling the unit operation frequency modulation database, and is a control valve frequency modulation data set containing multiple attribute parameters (such as size specifications, flow regulation, working performance, etc.), which mainly records the key attributes during the frequency modulation process, including control direction, opening degree, rate, etc. The unit operation frequency modulation database classifies through various attributes of the control valve (such as size, flow, performance, etc.) and classifies and organizes the control valve data with different attributes.

[0044] Use the deep learning network structure to perform frequency modulation training on the multi-attribute parameter control valve frequency modulation data set respectively to obtain a multi-attribute parameter control valve control direction network set, a multi-attribute parameter control valve control opening network set, and a multi-attribute parameter control valve control rate network set. Combine and connect the three network sets to obtain a multi-attribute parameter control valve frequency modulation control network set. Classify, integrate and label the multi-attribute parameter control valve frequency modulation control network set according to the attribute factor parameter type to construct an extraction steam control valve frequency modulation control network library. According to the attribute factor parameters of the heating extraction steam control valve, match and retrieve the most suitable network in the extraction steam control valve frequency modulation control network library for realizing the frequency modulation control of the extraction steam control valve, which is used as the target extraction steam control valve frequency modulation control network. The target extraction steam control valve frequency modulation control network can output corresponding frequency modulation control instructions (such as control direction, opening degree, adjustment rate, etc.) based on the attributes of the current extraction steam control valve and the target frequency modulation task. Through the training and matching of deep learning, select the most suitable frequency modulation strategy according to the attributes of different control valves to avoid inaccuracies in manual adjustment.

[0045] Furthermore, the present application further includes the following steps:

[0046] Use the deep learning network structure to perform frequency modulation training on the multi-attribute parameter control valve frequency modulation data set respectively to obtain a multi-attribute parameter control valve control direction network set, a multi-attribute parameter control valve control opening network set, and a multi-attribute parameter control valve control rate network set; connect and combine the multi-attribute parameter control valve control direction network set, the multi-attribute parameter control valve control opening network set, and the multi-attribute parameter control valve control rate network set to obtain a multi-attribute parameter control valve frequency modulation control network set; integrate and label the multi-attribute parameter control valve frequency modulation control network set according to the attribute factor parameter type, construct an extraction steam control valve frequency modulation control network library and store it in the heating frequency modulation analysis module; match and call based on the attribute factor parameters of the heating extraction steam control valve and the extraction steam control valve frequency modulation control network library to obtain the target extraction steam control valve frequency modulation control network.

[0047] Specifically, multi-attribute parameters of the regulating valve are screened out from the frequency modulation data set, including information such as control direction, control opening, and control rate, and are segmented into three independent data sets according to different control dimensions (direction, opening, rate). The deep learning network structure is a neural network containing multiple layers, used to learn complex non-linear relationships from data. Using deep learning frameworks (such as TensorFlow or PyTorch), the direction, opening, and rate data sets are trained respectively. According to the characteristics of each data set, a suitable network structure is selected: the direction control network uses a binary classification model (such as a multi-layer perceptron or a convolutional neural network) to learn the direction change; the opening control network uses a regression model (such as a convolutional or fully connected network) to predict the optimal opening value; the rate control network uses a regression network to learn how to adjust the rate under different conditions to ensure stability.

[0048] During the training process, the network will learn how to predict the control direction, opening, and rate of the regulating valve according to the input data (such as size specifications, flow regulation attributes, etc.). Each model continuously adjusts the weights through iteration to make the predicted value close to the true value. The direction control network trains to learn in which direction (increase or decrease the opening) the regulating valve should be adjusted under specific load changes to meet the frequency modulation target; the opening control network trains to learn the optimal opening to which the regulating valve should be adjusted under different working conditions to achieve fast and accurate frequency modulation; the rate control network trains to learn the optimal rate of change of the regulating valve opening to make the adjustment stable without being excessive or lagging. After training, a multi-attribute parameter regulating valve control direction network set, a multi-attribute parameter regulating valve control opening network set, and a multi-attribute parameter regulating valve control rate network set are obtained, which respectively represent how the valve should adjust the direction (increase or decrease the opening), the specific opening value, and the adjustment rate during the frequency modulation process to meet the frequency modulation target. Frequency modulation training refers to using the deep learning network structure to train each attribute parameter (such as control direction, opening, rate) in the data set respectively to learn the relationship between these parameters and the frequency modulation requirements, so as to provide a reference for subsequent frequency modulation control.

[0049] Connect and merge the multi-attribute parameter regulating valve control direction network set, the multi-attribute parameter regulating valve control opening network set, and the multi-attribute parameter regulating valve control rate network set to generate a comprehensive multi-attribute parameter regulating valve frequency modulation control network set. Similar to the integration of models, integrate the prediction information of different networks so that the three can work together in practical applications. The network model structures can be integrated together through parallel connection or layer-by-layer integration. Parallel connection means that the output layers of different networks can be processed in parallel. For example, the outputs of three networks are passed as inputs to a comprehensive network layer to generate unified control instructions. Layer-by-layer integration arranges the networks in sequence, and the output of each network is passed to the input of the next network. For example, the output of the control direction network can be passed to the opening network and then to the rate network. After network integration, the frequency modulation system can input operation data (such as load changes and frequency deviations), and the network set will automatically process this data and comprehensively generate the final frequency modulation control instructions, including multi-dimensional control information such as direction, opening, and rate, to adapt to different frequency modulation requirements. Since the integrated network structure is more complex, the whole needs to be debugged and verified. Through retraining or calibration, ensure that the control instructions output by the overall network meet the frequency modulation requirements in actual operation and have sufficient response speed and accuracy.

[0050] Integrate and identify the multi-attribute parameter regulating valve frequency modulation control network set according to the attribute factor parameter types (such as size specifications, flow regulation, working performance, etc.), classify and label each multi-attribute parameter regulating valve frequency modulation control network set, and construct the integrated and identified control network set into a comprehensive database, that is, the extraction steam regulating valve frequency modulation control network library. Store the constructed control network library into the heating frequency modulation analysis module, and the module will call this library during operation to extract control instructions. The heating frequency modulation analysis module is a module responsible for analyzing heating frequency modulation-related data and generating adjustment instructions. The attribute factor parameters of the heating extraction steam regulating valve are various parameters describing the characteristics of the extraction steam regulating valve, specifically including size specification parameters, flow regulation parameters, and working performance parameters. By analyzing the attribute factors of the heating extraction steam regulating valve and combining the data in the extraction steam regulating valve frequency modulation control network library, select the most suitable network for the current working condition to obtain the target extraction steam regulating valve frequency modulation control network. By calling the matching control network, obtain the target frequency modulation control model of this extraction steam regulating valve to guide the specific operation of frequency modulation control.

[0051] Furthermore, step three of this application includes:

[0052] Collect the flow record data set and the load deviation data set of the extraction steam control valve, perform a flow characteristic analysis on the flow record data set to obtain a valve opening-flow characteristic curve; perform a differential process on the valve opening-flow characteristic curve to obtain a flow change rate; use the relative gain compensation method to take the reciprocal of the flow change rate to determine a flow compensation coefficient, and take the product of the flow compensation coefficient and the original valve opening as the corrected valve flow; perform a functional fitting on the flow record data set and the load deviation data set to construct a load deviation-flow change conversion function; based on the valve opening-flow characteristic curve, the corrected valve flow, and the load deviation-flow change conversion function, establish the compensation amount function of the extraction steam control valve.

[0053] Specifically, collect the flow record data set and the load deviation data set of the extraction steam control valve. Among them, the flow record data set records the flow data of the extraction steam control valve at each moment during operation, usually collected by a flow sensor; the load deviation data set records the deviation between the actual value and the command value of the unit load, that is, the difference between the unit load and the target load. Obtain the flow record data set of the extraction steam control valve through a monitoring system or a DCS (Distributed Control System), which records the real-time flow of the extraction steam control valve, including the flow output under different load conditions. Collect the load deviation data, which reflects the difference between the actual load and the target load of the unit. Perform a flow characteristic analysis on the flow record data set. By statistically analyzing and mathematically modeling the flow data of the extraction steam control valve, study the relationship between the flow change and the valve opening. Since there is usually a non-linear relationship between the flow and the opening of the extraction steam control valve, the flow characteristic analysis aims to reveal this relationship, so as to provide a basis for subsequent adjustment operations. The valve opening-flow characteristic curve refers to the curve that describes the relationship between the valve opening and the flow passing through the valve, usually used to analyze the valve performance and design control strategies, and describes the change trend of the flow under different valve openings. Different openings may result in different flow outputs, and this relationship shows non-linear characteristics.

[0054] By performing a differential process on the valve opening-flow characteristic curve, find the derivative of the flow with respect to the valve opening, and calculate the flow change rate, that is, the rate of change of the flow with respect to the opening. The flow change rate can reflect the sensitivity of the flow change when the valve opening changes. Use the relative gain compensation method to calculate the reciprocal of the flow change rate to obtain the non-linear correction coefficient of the flow. The relative gain compensation method is a control method used to deal with non-linear systems. By taking the reciprocal of the flow change rate, the flow compensation coefficient is obtained, which is used to correct the non-linear relationship between the valve opening and the flow. Multiply the flow compensation coefficient by the original valve opening to obtain the corrected valve flow. For example, assume that a certain flow change rate is 2, and the compensation coefficient obtained after taking the reciprocal is 0.5, and then use this compensation coefficient to correct the original valve opening to obtain the corrected flow.

[0055] Function fitting is performed on the flow record dataset and the load deviation dataset. Using mathematical methods (such as the least squares method), function fitting is carried out on the flow record dataset and the load deviation dataset to obtain the conversion relationship between the load deviation and the flow rate change. The load deviation-flow rate change conversion function refers to establishing a mathematical function relationship between the load deviation dataset and the flow rate change dataset through fitting, which is used to predict the flow rate change according to the change of the load deviation. Function fitting is a mathematical method used to find a function that best approximates or fits a set of data points. Combining the valve opening-flow rate characteristic curve, the valve corrected flow rate, and the load deviation-flow rate change conversion function, the extraction steam control valve compensation amount function is finally established. According to the difference between the load deviation and the actual load, as well as the flow rate characteristics of the valve, the opening of the extraction steam control valve is dynamically corrected to ensure that the unit can operate stably under different load conditions. By using flow rate characteristic analysis and relative gain compensation method, the nonlinear problem of the extraction steam control valve is processed. By establishing the flow rate compensation coefficient and the load deviation-flow rate change conversion function, an accurate compensation amount function is finally established to optimize the adjustment process of the extraction steam control valve, thereby improving the performance and accuracy of the unit participating in primary frequency modulation.

[0056] Furthermore, the present application further includes the following steps:

[0057] The extraction steam control valve compensation amount function is specifically: , where f -1 is the inverse function of the valve opening-flow rate characteristic curve, which is used to calculate the valve opening from the flow rate, Q c is the valve corrected flow rate, ∆L is the load deviation data, h(∆L) is the load deviation-flow rate change conversion function, g is the compensation correction empirical function, and V is the valve opening.

[0058] Specifically, the extraction steam control valve compensation amount function calculates the compensation amount required to adjust the extraction steam flow rate based on the current valve opening and the load deviation. The extraction steam control valve compensation amount function is: , where is the extraction steam control valve compensation amount function, which is used to correct the control command of the extraction steam control valve in order to balance the load and the grid frequency during the frequency modulation process. V refers to the valve opening, that is, the current opening of the valve; ∆L is the load deviation data, that is, the difference between the actual load and the target load; Q c is the valve corrected flow rate, the target flow rate, that is, the ideal flow rate value that should be achieved during the operation of the unit; h(∆L) is the load deviation-flow rate change conversion function, which corrects the flow rate demand according to the load deviation, that is, determines the flow rate value that needs to be adjusted according to the load deviation; f -1It is the inverse function of the valve opening - flow characteristic curve, which converts the flow target (the value corrected by the load deviation) into a control command for the valve opening, and is used to calculate the corresponding valve opening from a given flow value; g is a compensation and correction empirical function, which is a function obtained based on experience or experimental data and is used to further correct the calculated valve opening to compensate for non - linearity or other factors in actual operation. By combining the load deviation and the valve characteristics, the valve opening is accurately controlled to ensure the accuracy of the frequency modulation process.

[0059] Furthermore, step five of this application includes:

[0060] According to the extraction steam frequency modulation control rules, determine the unit command control strategy, and based on the unit command control strategy, superimpose the primary frequency modulation correction control command on the output command of the EGV valve regulation loop to obtain the unit frequency modulation control command; conduct a frequency modulation disturbance test on the unit frequency modulation control command according to the unit performance optimization target to obtain the unit frequency modulation performance record data; evaluate based on the unit frequency modulation performance record data to obtain the unit primary frequency modulation power contribution index; optimize the unit command control strategy based on the unit primary frequency modulation power contribution index to obtain the unit command optimized control strategy, and perform performance optimization control on the target unit through the unit command optimized control strategy.

[0061] Specifically, the extraction steam frequency modulation control rules are a set of design rules. The main purpose is to respond to the power grid frequency fluctuation by adjusting the output power of the unit while ensuring the heating demand. The extraction steam frequency modulation control rules define how to improve the effect of the unit's primary frequency modulation while ensuring that the unit's heating is not affected, and may include how to adjust the extraction steam volume of the unit according to the change of the power grid frequency, and how to adjust the opening of the EGV (main control valve). For example, when the power grid frequency drops, the unit needs to increase the output power, and when the power grid frequency rises, the unit may need to reduce the output power. The unit command control strategy is the specific operation method formulated through these control rules, and the goal is to optimize the way the unit responds to the power grid frequency fluctuation while ensuring that the heating load is not affected. Specifically, the command control strategy considers the current load of the unit, the extraction steam demand, and the deviation of the power grid frequency to make the optimal adjustment.

[0062] The unit performance optimization goal is a performance index set to improve the operation efficiency and heating quality of the unit. According to the unit command control strategy, the primary frequency modulation correction control command is superimposed on the output command of the EGV valve regulation loop, that is, the primary frequency modulation correction control command is superimposed on the original output command of the EGV valve regulation loop. Through this operation, when the output power of the unit responds to the change of the grid frequency, it should not only meet the requirements of the grid frequency, but also ensure the minimum impact on the heating system. The EGV valve (electronic gas valve) regulation loop is a part of the unit control system, which is responsible for regulating the steam flow and thus regulating the output power of the unit. According to the unit performance optimization goal, a disturbance test is carried out on the frequency modulation control command. The frequency modulation disturbance test is a verification process of the unit frequency modulation performance. By simulating different situations of the grid frequency fluctuation, the response ability and stability of the unit when facing these fluctuations are tested. Through the test, the performance of the unit under different loads and frequency fluctuations is evaluated, and its frequency modulation response speed, accuracy and stability are detected. The unit frequency modulation performance record data records the responses made by the unit during the frequency modulation disturbance test, including information such as the change of its output power and the adjustment of the frequency deviation.

[0063] By evaluating the unit frequency modulation performance data, the primary frequency modulation power contribution index of the unit is obtained, which reflects the degree of contribution made by the unit to the grid frequency stability during the primary frequency modulation process. The higher the primary frequency modulation power contribution index of the unit, the better the performance of the unit during the frequency modulation process, and it can respond to the frequency fluctuation more effectively and maintain the stability of the grid. Based on the primary frequency modulation power contribution index of the unit, the command control strategy of the unit is adjusted. By finely tuning the control strategy of the unit, the response effect and qualification rate of the primary frequency modulation are improved without affecting the heating, including adjusting the response speed of the unit to the frequency change, ensuring that the unit can quickly recover when facing large disturbances, and improving the frequency modulation accuracy under large load and high extraction steam conditions. After optimization, the new control strategy can adjust the unit output more accurately, especially when facing large fluctuations in the grid frequency, ensuring that the unit responds quickly and accurately without affecting the heating demand.

[0064] The specific control of the unit using the unit command optimization control strategy adjusts the output of the unit so that it can better cope with the grid frequency fluctuation during actual operation, especially in the extraction steam heating condition, ensuring the accurate response of the frequency modulation loop and improving the frequency modulation qualification rate during remote large disturbances. Through the detailed evaluation and optimization of the unit performance, it is ensured that the unit provides the best frequency modulation response without affecting the heating demand, not only improving the frequency modulation effect, but also optimizing the operation efficiency of the unit.

[0065] Furthermore, the present application further includes the following steps:

[0066] Construct a primary frequency modulation power contribution function: Q % =k 15 ×Q%15 +k 30 ×Q %30 +k 45 ×Q %45 , where Q %15 =ΔQ S15 / ΔQ E15 ×100%, Q %30 =ΔQ S30 / ΔQ E30 ×100%, Q %45 =ΔQ S45 / ΔQ E45 ×100%, ΔQ S15 is the actual contribution power of the unit's primary frequency regulation every 15 seconds, ΔQ E15 is the theoretical integral power of the unit's primary frequency regulation every 15 seconds, Q %30 、Q %45 And so on, k 15 is the weight of the unit's primary frequency regulation power contribution index, the coefficient k 15 +k 30 +k 45 =1, where k 15 、k 30 、k 45 are preferably 0.55, 0.3, 0.15 respectively; the primary frequency regulation power contribution function is used to evaluate the recorded data of the unit's frequency regulation performance, and the primary frequency regulation power contribution index of the unit is obtained.

[0067] Specifically, the purpose of constructing the primary frequency regulation power contribution function is to obtain the overall performance of the unit during primary frequency regulation by evaluating the contribution of the unit to the grid frequency regulation in different time periods. Q %15 、Q %30 、Q %45 are the contribution percentages of the unit to primary frequency regulation in different time periods. Specifically, Q %15 represents the contribution percentage of the unit to primary frequency regulation within 15 seconds. Through Q %15 =ΔQ S15 / ΔQ E15 ×100% is calculated. ΔQ S15 is the actual contribution power of the unit's primary frequency regulation every 15 seconds, ΔQ E15 is the theoretical integral power of the unit's primary frequency regulation every 15 seconds (the theoretically provided frequency regulation power). Q %30 、Q %45 respectively represent the contribution percentages of the unit to primary frequency regulation within 30 seconds and 45 seconds. The calculation method is the same as the above, and so on. k15, k30, k45 are the weight coefficients of the unit's frequency regulation contribution index in the 15-second, 30-second, and 45-second time periods respectively, k 15 +k 30 +k45 = 1, ensuring that the sum of the weight coefficients is 1, which is the total contribution weight of all time periods. k 15 、k 30 、k 45 are preferably 0.55, 0.3, and 0.15 respectively, indicating that the frequency modulation contribution within 15 seconds has the greatest impact on the overall contribution, while the contributions of 30 seconds and 45 seconds are relatively small. Considering the frequency modulation contributions of different time periods comprehensively, the overall primary frequency modulation power contribution function of the unit can be obtained: Q % = k 15 ×Q %15 + k 30 ×Q %30 + k 45 ×Q %45 , representing the weighted average of the frequency modulation contributions of the unit within 15 seconds, 30 seconds, and 45 seconds. Using the primary frequency modulation power contribution function to evaluate the frequency modulation performance record data of the unit, calculating the percentage of the frequency modulation contribution in each time period, and summing up the contribution percentages of each time period weighted by the corresponding weights to obtain the primary frequency modulation power contribution index of the unit.

[0068] Furthermore, this application also includes the following steps:

[0069] Analyze the optimization direction of the primary frequency modulation power contribution index of the unit to obtain the strategy optimization mutation rule; based on the strategy optimization mutation rule, mutate and update the command control strategy of the unit and perform simulation optimization to obtain the optimized command control strategy of the unit.

[0070] Specifically, the primary frequency modulation power contribution index is an important indicator to measure the role played by the unit in the process of power grid frequency regulation. Optimizing this index means improving the performance of the unit during frequency modulation, thereby ensuring that the unit can provide more effective frequency modulation services when the power grid load fluctuates. By analyzing the frequency modulation contributions of the unit in different time periods (such as 15 seconds, 30 seconds, 45 seconds, etc.), identify the main factors affecting its frequency modulation performance. The optimization directions include adjusting the weights of different time periods such as 15 seconds, 30 seconds, 45 seconds, etc., optimizing the contributions of the time periods according to the response speed and accuracy of the unit in each time period; analyzing the response of the unit under different loads and frequency fluctuations, adjusting the response speed and accuracy of the unit to improve the frequency modulation ability; combining external environmental factors (such as climate change, load fluctuation, etc.) to optimize the effect of the unit on the frequency modulation power contribution during actual operation.

[0071] When optimizing the primary frequency regulation power contribution index of the unit, it is necessary to optimize the command control strategy of the unit through certain mutation rules. The mutation rule refers to making certain changes to the current control strategy to find a more effective control strategy. The mutation rule can be defined as making random or local adjustments based on the existing unit command control strategy to ensure that the strategy can explore new and more suitable solutions, such as random mutation or local mutation, etc. Under the guidance of the mutation rule, adjust the unit command control strategy, including changing the time response of the frequency regulation command, adjusting the correction method of the load deviation, or optimizing the reaction to external disturbances, etc. Test different control strategies through simulation and evaluate the performance of each mutated strategy in the actual unit frequency regulation process. The simulation can simulate the frequency regulation response of the unit under different load conditions, the stability under different disturbances, etc. Finally, select the optimal unit command optimization control strategy through the simulation results. Through mutation update and simulation optimization, obtain the optimized unit command control strategy, effectively improve the frequency regulation ability of the unit, especially in the case of large disturbances and load changes, and ensure that the frequency regulation effect of the unit is improved without affecting the unit's heat supply. The optimized unit command control strategy can help the unit better execute the primary frequency regulation task, improve the response ability and efficiency of the unit's frequency regulation, reduce the negative impact on the power grid frequency fluctuation, and thus ensure the stability of the power grid and the satisfaction of the heat supply demand.

[0072] In summary, the method for optimizing and improving the primary frequency regulation performance under the unit heating mode provided by this application has the following technical effects:

[0073] By installing a frequency modulation analog input card and a frequency modulation analog output card in the unit's primary frequency modulation homologous device, wherein the unit's primary frequency modulation homologous device exchanges data with the DCS system through cable laying; receiving the unit operation data stream acquired by the DCS system through the frequency modulation analog input card, performing frequency modulation analysis on the unit operation data stream based on the heating frequency modulation analysis module, and generating a primary frequency modulation control command for the extraction steam regulating valve for heating; sending the primary frequency modulation control command to the EGV valve regulation loop of the DEH system based on the frequency modulation analog output card, and simultaneously performing compensation characteristic analysis on the extraction steam regulating valve for heating to determine the extraction steam regulating valve compensation quantity function; dynamically correcting the primary frequency modulation control command based on the extraction steam regulating valve compensation quantity function and the deviation value between the grid load command and the actual load to obtain a primary frequency modulation corrected control command; superimposing the primary frequency modulation corrected control command on the output command of the EGV valve regulation loop to perform frequency modulation disturbance testing and performance optimization control on the target unit. That is to say, through the frequency modulation analog input and output cards, the unit operation data stream acquired in real time is received, and an accurate frequency modulation control command is generated through the heating frequency modulation analysis module. The frequency modulation control command is accurately dynamically adjusted by using the dynamic correction function and compensation characteristic analysis, so that the frequency modulation command better conforms to the actual load demand, reduces the frequency deviation, and thus improves the frequency modulation qualification rate of the heating unit under the condition of frequent frequency fluctuations.

[0074] Embodiment 2. Based on the same inventive concept as the method for optimizing and improving the primary frequency modulation performance in the unit heating mode in the foregoing Embodiment 1, the present application also provides a system for optimizing and improving the primary frequency modulation performance in the unit heating mode. Please refer to the attached Figure 2 , the system for optimizing and improving the primary frequency modulation performance in the unit heating mode includes:

[0075] The card installation module 11 is used for installing a frequency modulation analog input card and a frequency modulation analog output card in the unit's primary frequency modulation homologous device, wherein the unit's primary frequency modulation homologous device exchanges data with the DCS system through cable laying.

[0076] The command generation module 12 is used for receiving the unit operation data stream acquired by the DCS system through the frequency modulation analog input card, and performing frequency modulation analysis on the unit operation data stream based on the heating frequency modulation analysis module to generate a primary frequency modulation control command for the extraction steam regulating valve for heating.

[0077] The compensation analysis module 13 is used for sending the primary frequency modulation control command to the EGV valve regulation loop of the DEH system based on the frequency modulation analog output card, and simultaneously performing compensation characteristic analysis on the extraction steam regulating valve for heating to determine the extraction steam regulating valve compensation quantity function.

[0078] The instruction correction module 14 is configured to dynamically correct the primary frequency regulation control instruction based on the extraction steam control valve compensation function and the deviation between the grid load instruction and the actual load, so as to obtain a primary frequency regulation corrected control instruction.

[0079] The performance optimization module 15 is configured to superimpose the primary frequency regulation corrected control instruction on the output instruction of the EGV valve regulation loop to perform a frequency modulation disturbance test and performance optimization control on the target unit.

[0080] Furthermore, the instruction generation module 12 in the primary frequency regulation performance optimization and improvement system under the unit heating mode is further configured to:

[0081] Obtain a data standardization program, standardize the format of the unit operation data stream based on the data standardization program to obtain a standard unit operation data stream; identify abnormal data in the standard unit operation data stream to obtain abnormal unit operation data, where the abnormal unit operation data includes inconsistent data and data exceeding the threshold; determine a data preprocessing step according to the abnormal unit operation data, and preprocess the abnormal unit operation data according to the data preprocessing step to obtain an available unit operation data stream; call the target extraction steam control valve frequency regulation control network, and perform frequency modulation analysis on the available unit operation data stream based on the target extraction steam control valve frequency regulation control network, and output the primary frequency regulation control instruction.

[0082] Furthermore, the instruction generation module 12 in the primary frequency regulation performance optimization and improvement system under the unit heating mode is further configured to:

[0083] Obtain a unit operation frequency regulation database through data mining technology, where the unit operation frequency regulation database includes historical unit operation data and corresponding extraction steam control valve frequency regulation control data that meet the frequency regulation target; obtain extraction steam control valve attribute factor information, where the extraction steam control valve attribute factor information includes size specification attributes, flow regulation attributes, and working performance attributes; classify and identify the unit operation frequency regulation database according to the extraction steam control valve attribute factor information to obtain a multi-attribute parameter control valve frequency regulation data set; use a deep learning network structure to perform frequency regulation training integration and matching calls on the multi-attribute parameter control valve frequency regulation data set respectively to obtain the target extraction steam control valve frequency regulation control network.

[0084] Furthermore, the instruction generation module 12 in the primary frequency regulation performance optimization and improvement system under the unit heating mode is further configured to:

[0085] Use the deep learning network structure to perform frequency modulation training on the multi-attribute parameter regulating valve and frequency modulation data set respectively to obtain a multi-attribute parameter regulating valve control direction network set, a multi-attribute parameter regulating valve control opening network set, and a multi-attribute parameter regulating valve control rate network set; connect and merge the multi-attribute parameter regulating valve control direction network set, the multi-attribute parameter regulating valve control opening network set, and the multi-attribute parameter regulating valve control rate network set to obtain a multi-attribute parameter regulating valve and frequency modulation control network set; integrate and identify the multi-attribute parameter regulating valve and frequency modulation control network set according to the attribute factor parameter type, construct a extraction steam regulating valve and frequency modulation control network library and store it in the heating frequency modulation analysis module; based on the attribute factor parameters of the heating extraction steam regulating valve and the extraction steam regulating valve and frequency modulation control network library for matching and calling, obtain the target extraction steam regulating valve and frequency modulation control network.

[0086] Further, the compensation analysis module 13 in the primary frequency modulation performance optimization and improvement system in the unit heating mode is further used for:

[0087] Collect and obtain the flow record data set and the load deviation data set of the heating extraction steam regulating valve, perform flow characteristic analysis on the flow record data set to obtain a valve opening-flow characteristic curve; perform differential processing on the valve opening-flow characteristic curve to obtain a flow change rate; use the relative gain compensation method to take the reciprocal of the flow change rate to determine the flow compensation coefficient, and multiply the flow compensation coefficient by the original valve opening as the valve corrected flow; perform function fitting on the flow record data set and the load deviation data set to construct a load deviation-flow change conversion function; based on the valve opening-flow characteristic curve, the valve corrected flow, and the load deviation-flow change conversion function, establish the extraction steam regulating valve compensation amount function.

[0088] Further, the compensation analysis module 13 in the primary frequency modulation performance optimization and improvement system in the unit heating mode is further used for:

[0089] The extraction steam regulating valve compensation amount function is specifically: , where f -1 is the inverse function of the valve opening-flow characteristic curve, used to calculate the valve opening from the flow, Q c is the valve corrected flow, ∆L is the load deviation data, h(∆L) is the load deviation-flow change conversion function, g is the compensation correction empirical function, and V is the valve opening.

[0090] Further, the performance optimization module 15 in the primary frequency modulation performance optimization and improvement system in the unit heating mode is further used for:

[0091] According to the extraction steam frequency modulation control rule, determine the unit command control strategy, and based on the unit command control strategy, superimpose the primary frequency modulation correction control command on the output command of the EGV valve regulation loop to obtain the unit frequency modulation control command; perform a frequency modulation disturbance test on the unit frequency modulation control command according to the unit performance optimization target to obtain the unit frequency modulation performance record data; evaluate based on the unit frequency modulation performance record data to obtain the unit primary frequency modulation power contribution index; optimize the unit command control strategy based on the unit primary frequency modulation power contribution index to obtain the unit command optimized control strategy, and perform performance optimization control on the target unit through the unit command optimized control strategy.

[0092] Furthermore, the performance optimization module 15 in the primary frequency modulation performance optimization and improvement system under the unit heating mode is further used for:

[0093] Construct a primary frequency modulation power contribution function: Q % =k 15 ×Q %15 +k 30 ×Q %30 +k 45 ×Q %45 , where Q %15 =ΔQ S15 / ΔQ E15 ×100%, Q %30 =ΔQ S30 / ΔQ E30 ×100%, Q %45 =ΔQ S45 / ΔQ E45 ×100%, ΔQ S15 is the actual contribution power of the unit's primary frequency modulation in 15 seconds, ΔQ E15 is the theoretical integral power of the unit's primary frequency modulation in 15 seconds, Q %30 , Q %45 and so on, k 15 is the weight of the unit's primary frequency modulation power contribution index in 15 seconds, and the coefficients k 15 +k 30 +k 45 =1, where k 15 , k 30 , k 45 are preferably 0.55, 0.3, and 0.15 respectively; evaluate the unit frequency modulation performance record data using the primary frequency modulation power contribution function to obtain the unit primary frequency modulation power contribution index.

[0094] Furthermore, the performance optimization module 15 in the primary frequency modulation performance optimization and improvement system under the unit heating mode is further used for:

[0095] Analyze the optimization direction of the primary frequency regulation power contribution index of the unit to obtain the mutation rules for strategy optimization; based on the mutation rules for strategy optimization, mutate and update the unit command control strategy and perform simulation optimization to obtain the optimized unit command control strategy.

[0096] The various embodiments in this specification are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The Figure 1 The method and specific example for optimizing and improving the primary frequency regulation performance in the unit heating mode in Embodiment 1 are equally applicable to the system for optimizing and improving the primary frequency regulation performance in the unit heating mode of this embodiment. Through the detailed description of the method for optimizing and improving the primary frequency regulation performance in the unit heating mode above, those skilled in the art can clearly understand the system for optimizing and improving the primary frequency regulation performance in the unit heating mode of this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method section.

[0097] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0098] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is also intended to include these changes and variations.

Claims

1. A method for optimizing and improving the frequency regulation performance of a unit in heating mode, characterized in that: include: Installing a frequency modulation analog input card and a frequency modulation analog output card in the primary frequency modulation homologous device of the unit, wherein the primary frequency modulation homologous device of the unit and the DCS system are laid with cables for data exchange; The unit operation data stream acquired by the DCS system is received through the frequency modulation analog input card, and the unit operation data stream is subjected to frequency modulation analysis based on the heating frequency modulation analysis module to generate a primary frequency modulation control instruction for the heating extraction steam regulating valve; Based on the frequency modulation analog output card, the primary frequency modulation control instruction is sent to the EGV valve regulation loop of the DEH system, and at the same time, the compensation characteristic analysis of the heating extraction steam regulating valve is performed to determine the extraction steam regulating valve compensation function; Based on the extraction valve compensation function and the deviation between the grid load command and the actual load, dynamically correct the primary frequency modulation control command to obtain a primary frequency modulation correction control command; The primary frequency modulation correction control instruction is superimposed on the output instruction of the EGV valve regulation loop, and the frequency modulation disturbance test and performance optimization control are performed on the target unit; The step of determining the extraction steam regulating valve compensation function comprises: Acquiring a flow record data set and a load deviation data set of the heating extraction steam regulating valve, performing flow characteristic analysis on the flow record data set, and obtaining a valve opening-flow characteristic curve; Performing differential processing on the valve opening-flow characteristic curve to obtain the flow change rate; The flow rate change rate is inverted by using the relative gain compensation method to determine the flow compensation coefficient, and the product of the flow compensation coefficient and the original valve opening is used as the valve correction flow; Performing function fitting on the flow record data set and the load deviation data set to construct a load deviation-flow change conversion function; Based on the valve opening-flow characteristic curve, the valve correction flow and the load deviation-flow change conversion function, the extraction steam regulating valve compensation function is established; The extraction steam regulating valve compensation function is specifically: C(V,ΔL)=g(f -1 (Q c +h(ΔL)))-V, where f -1 It is the inverse function of the valve opening-flow characteristic curve, used to calculate the valve opening from the flow, Q c is the valve correction flow, ΔL is the load deviation data, h(ΔL) is the load deviation-flow change conversion function, g is the compensation correction empirical function, and V is the valve opening.

2. The method for optimizing and improving the primary frequency regulation performance in the heating mode of the unit according to claim 1, characterized in that: The generating of a primary frequency modulation control instruction of the heating extraction steam regulating valve comprises: Acquire a data standardization program, and standardize the format of the unit operation data stream based on the data standardization program to obtain a standard unit operation data stream; Performing abnormal data identification on the standard unit operation data stream to obtain abnormal unit operation data, wherein the abnormal unit operation data includes inconsistency data and over-threshold data; Determining a data preprocessing step according to the abnormal unit operation data, preprocessing the abnormal unit operation data according to the data preprocessing step, and obtaining an available unit operation data stream; The target steam extraction valve regulating frequency modulation control network is called and acquired, and frequency modulation analysis is performed on the available unit operation data stream based on the target steam extraction valve regulating frequency modulation control network, and the primary frequency modulation control instruction is output.

3. The method for optimizing and improving the frequency regulation performance of the unit in the heating mode according to claim 2, characterized in that: The calling and obtaining of the target extraction steam valve frequency modulation control network includes: Acquire a unit operation frequency regulation database by using data mining technology, wherein the unit operation frequency regulation database includes historical unit operation data and corresponding extraction steam regulating valve frequency regulation control data that meets the frequency regulation target; Acquire property factor information of the steam extraction regulating valve, wherein the property factor information of the steam extraction regulating valve includes size specification attributes, flow regulation attributes, and working performance attributes; Classify and identify the unit operation frequency regulation database according to the extraction steam regulating valve attribute factor information to obtain a multi-attribute parameter regulating valve frequency regulation data set; The deep learning network structure is used to perform frequency modulation training integration and matching call on the multi-attribute parameter valve frequency modulation data set to obtain the target steam extraction valve frequency modulation control network.

4. The method for optimizing and improving the primary frequency regulation performance in the heating mode of the unit according to claim 3, characterized in that: The step of obtaining the target steam extraction valve frequency modulation control network includes: The multi-attribute parameter valve regulating frequency modulation data sets are respectively trained by using a deep learning network structure to obtain a multi-attribute parameter valve regulating control direction network set, a multi-attribute parameter valve regulating control opening network set, and a multi-attribute parameter valve regulating control rate network set; The multi-attribute parameter valve control direction network set, the multi-attribute parameter valve control opening network set and the multi-attribute parameter valve control rate network set are connected and merged to obtain a multi-attribute parameter valve control frequency modulation control network set; The multi-attribute parameter valve-regulating and frequency-regulating control network set is integrated and identified according to the attribute factor parameter type, and a steam extraction valve-regulating and frequency-regulating control network library is constructed and stored in the heating frequency-regulating analysis module; Based on the attribute factor parameters of the heating extraction steam regulating valve and the extraction steam regulating valve frequency modulation control network library, a matching call is performed to obtain the target extraction steam regulating valve frequency modulation control network.

5. The method for optimizing and improving the primary frequency regulation performance in the heating mode of the unit according to claim 1, characterized in that: The frequency modulation disturbance test and performance optimization control of the target unit include: According to the extraction steam frequency modulation control rule, the unit command control strategy is determined, and based on the unit command control strategy, the primary frequency modulation correction control command is superimposed on the output command of the EGV valve regulation loop to obtain the unit frequency modulation control command; Performing a frequency modulation disturbance test on the frequency modulation control instruction of the unit according to the unit performance optimization target to obtain the unit frequency modulation performance record data; Based on the frequency regulation performance record data of the unit, an evaluation is performed to obtain the unit primary frequency regulation power contribution index; The unit command control strategy is optimized based on the unit primary frequency regulation power contribution index to obtain a unit command optimization control strategy, and the target unit is subjected to performance optimization control through the unit command optimization control strategy.

6. The method for optimizing and improving the primary frequency regulation performance in the heating mode of the unit according to claim 5, characterized in that: The obtaining of the unit primary frequency regulation power contribution index includes: Construct a frequency modulation power contribution function: Q ％ =k 15 ×Q ％15 +k 30 ×Q ％30 +k 45 ×Q ％45 , where Q ％15 =ΔQ S15 / ΔQ E15 ×100%,Q ％30 =ΔQ S30 / ΔQ E30 ×100%,Q ％45 =ΔQ S45 / ΔQ E45 ×100%,ΔQ S15 ΔQ is the actual power contribution of the unit's 15-second frequency modulation. E15 Q is the theoretical integrated power of the unit's frequency modulation once every 15 seconds. ％30 , Q ％45 By analogy, k 15 is the weight of the unit's 15-second frequency regulation power contribution index, coefficient k 15 +k 30 +k 45 =1, where k 15 , k 30 , k 45 They are 0.55, 0.3, and 0.15 respectively; The primary frequency regulation power contribution function is used to evaluate the frequency regulation performance record data of the unit to obtain the primary frequency regulation power contribution index of the unit.

7. The method for optimizing and improving the primary frequency regulation performance in the heating mode of a unit according to claim 5, characterized in that: The obtaining of the unit instruction optimization control strategy comprises: Analyze the optimization direction of the primary frequency regulation power contribution index of the unit to obtain the strategy optimization variation rules; Based on the strategy optimization mutation rule, the unit command control strategy is mutated and updated and optimized through simulation to obtain the unit command optimization control strategy.

8. The system for optimizing and improving the performance of the frequency regulation in the heating mode of the unit is characterized by: Steps for implementing the method for optimizing and improving the performance of the first frequency regulation in the heating mode of the unit according to any one of claims 1 to 7, wherein the system for optimizing and improving the performance of the first frequency regulation in the heating mode of the unit comprises: A card installation module, the card installation module is used to install a frequency modulation analog input card and a frequency modulation analog output card in a primary frequency modulation homologous device of the unit, wherein the primary frequency modulation homologous device of the unit and the DCS system are laid with cables for data exchange; An instruction generation module, the instruction generation module is used to receive the unit operation data stream acquired by the DCS system through the frequency modulation analog input card, perform frequency modulation analysis on the unit operation data stream based on the heating frequency modulation analysis module, and generate a primary frequency modulation control instruction for the heating extraction steam regulating valve; A compensation analysis module, which is used to send the primary frequency modulation control instruction to the EGV valve regulation loop of the DEH system based on the frequency modulation analog output card, and at the same time perform compensation characteristic analysis on the heating extraction steam regulating valve to determine the extraction steam regulating valve compensation function; An instruction correction module, the instruction correction module is used to dynamically correct the primary frequency modulation control instruction based on the extraction valve compensation function and the deviation value between the power grid load instruction and the actual load to obtain a primary frequency modulation correction control instruction; A performance optimization module is used to superimpose the primary frequency modulation correction control instruction onto the output instruction of the EGV valve regulation loop, and perform frequency modulation disturbance testing and performance optimization control on the target unit.

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