Primary frequency modulation performance optimization and improvement method in unit heat supply mode

Abstract

The invention provides a method for optimizing and improving the performance of primary frequency modulation in a unit heat supply mode, and relates to the technical field of unit frequency modulation. Receiving unit operation data flow acquired by the DCS system to perform frequency modulation analysis; the primary frequency modulation control instruction is sent to an EGV valve adjusting loop; dynamically correcting the primary frequency modulation control instruction based on the steam extraction valve regulation compensation quantity function and the deviation value; and superposing the primary frequency modulation correction control instruction to an output instruction of an EGV valve regulation loop, and carrying out frequency modulation disturbance test and performance optimization control on the target unit. The technical problem that in the prior art, due to the fact that the heat supply load is large and the power grid frequency fluctuates frequently in the primary frequency modulation process, the frequency modulation qualification rate of the heat supply unit is low can be solved, and the frequency modulation qualification rate of the heat supply unit under the condition that the frequency fluctuates frequently is improved by conducting accurate dynamic adjustment on the frequency modulation control instruction.

Description

Technical Field

[0001] The present application relates to the technical field of unit frequency regulation, and in particular to a method for optimizing and improving the performance of the next frequency regulation in a unit heating mode. Background Art

[0002] The primary frequency regulation of the power system refers to the ability of the generator set to respond quickly and adjust the output to stabilize the frequency when the grid frequency deviates, thereby ensuring 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 unit's output according to the preset frequency regulation curve to quickly compensate for the grid frequency deviation. As the first line of defense in the automated frequency control system, primary frequency regulation requires the unit to have high precision and rapid response capabilities to cope with frequent power load fluctuations. However, in the cogeneration mode, in addition to meeting the power demand, the heating unit also needs to maintain the quality of heating to meet the thermal energy needs of heat users. Therefore, the implementation of primary frequency regulation in the heating mode faces more complex challenges. In actual applications, due to the large heating load and frequent grid frequency fluctuations, the frequency regulation qualification rate of the heating unit is often low. Frequency fluctuations require the unit to have flexible frequency regulation capabilities, while the rigid restrictions of heating demand have constrained the flexibility of frequency regulation. In addition, the dynamic response lag of the heating system also leads to untimely output power adjustment during the frequency regulation process, further reducing the qualification rate of frequency regulation.

[0003] In summary, the prior art has a technical problem in that the frequency regulation qualification rate of the heating unit is low due to the large load variation and frequent grid frequency fluctuation in the heating mode, which limits the primary frequency regulation performance. 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 heating mode of the unit, so as to solve the technical problem in the prior art that the primary frequency regulation performance is limited due to large load changes and frequent grid frequency fluctuations under the heating mode, resulting in a low frequency regulation qualification rate of the heating unit.

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

[0006] In the first aspect, the present application provides a method for optimizing and improving the performance of the next frequency regulation in the heating mode of a unit, and the method for optimizing and improving the performance of the next frequency regulation in the heating mode of the unit is implemented by a system for optimizing and improving the performance of the next frequency regulation in the heating mode of the unit, wherein the method for optimizing and improving the performance of the next frequency regulation in the heating mode of the unit comprises: installing 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 a DCS system are cabled for data exchange; receiving the unit operation data stream acquired by the DCS system through the frequency modulation analog input card, and analyzing the unit based on the heating frequency modulation analysis module. The data flow is run to perform frequency modulation analysis, and a primary frequency modulation control instruction of the heating extraction steam regulating valve is generated; based on the frequency modulation analog output card, the primary frequency modulation control instruction is sent to the EGV valve regulating 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 steam regulating valve compensation function and the deviation value between the grid load instruction and the actual load, the primary frequency modulation control instruction is dynamically corrected to obtain a primary frequency modulation correction control instruction; the primary frequency modulation correction control instruction is superimposed on the output instruction of the EGV valve regulating loop, and a frequency modulation disturbance test and performance optimization control are performed on the target unit.

[0007] In the second aspect, the present application also provides a system for optimizing and improving the performance of the primary frequency regulation in the unit heating mode, which is used to execute the method for optimizing and improving the performance of the primary frequency regulation in the unit heating mode as described in the first aspect, wherein the system for optimizing and improving the performance of the primary frequency regulation in the unit heating mode includes: 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 the unit's primary frequency modulation homologous device, wherein the unit's primary frequency modulation homologous device and the DCS system lay cables for data exchange; an instruction generation module, the instruction generation module is used to receive the unit operation data stream collected and acquired by the DCS system through the frequency modulation analog input card, perform frequency analysis on the unit operation data stream based on the heating frequency modulation analysis module, and generate a heating frequency modulation signal. A primary frequency modulation control instruction of the hot extraction steam regulating valve; a compensation analysis module, the compensation analysis module is used to send the primary frequency modulation control instruction to the EGV valve regulating 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 steam regulating 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, the performance optimization module is used to superimpose the primary frequency modulation correction control instruction on the output instruction of the EGV valve regulating loop, and perform frequency modulation disturbance test 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] A frequency modulation analog input card and a frequency modulation analog output card are installed 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; the primary frequency modulation control instruction is sent to the EGV valve regulating loop of the DEH system based on the frequency modulation analog output card, and the compensation characteristic of the heating extraction steam regulating valve is analyzed to determine the extraction steam regulating valve compensation function; the primary frequency modulation control instruction is dynamically corrected based on the deviation value between the extraction steam regulating valve compensation function and the grid load instruction and the actual load to obtain a primary frequency modulation correction control instruction; the primary frequency modulation correction control instruction is superimposed on the output instruction of the EGV valve regulating loop to perform frequency modulation disturbance test 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 the heating frequency modulation analysis module generates accurate frequency modulation control instructions. The dynamic correction function and compensation characteristic analysis are used to perform precise dynamic adjustments to the frequency modulation control instructions, so that the frequency modulation instructions are more in line with the actual load demand, reducing the frequency deviation, thereby improving the frequency modulation qualification rate of the heating unit under frequent frequency fluctuations.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 This is a flow chart of a method for optimizing and improving the frequency regulation performance of the unit under heating mode in this application;

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

[0014] Explanation of the reference numerals: card installation module 11 , instruction generation module 12 , compensation analysis module 13 , instruction correction module 14 , performance optimization module 15 . DETAILED DESCRIPTION

[0015] This application solves the technical problem in the prior art that the frequency regulation qualification rate of the heating unit is low due to the large load change and frequent grid frequency fluctuations in the heating mode, which limits the primary frequency regulation performance. The frequency modulation analog input and output card is used to receive the real-time unit operation data stream, and the heating frequency modulation analysis module generates accurate frequency modulation control instructions. The dynamic correction function and compensation characteristic analysis are used to accurately and dynamically adjust the frequency modulation control instructions, so that the frequency modulation instructions are more in line with the actual load requirements, reducing the frequency deviation, thereby improving the frequency regulation qualification rate of the heating unit under frequent frequency fluctuations.

[0016] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0017] For example, please refer to the attached Figure 1 The present application provides a method for optimizing and improving the performance of the next frequency regulation in the heating mode of a unit, wherein the method for optimizing and improving the performance of the next frequency regulation in the heating mode of a unit specifically comprises the following steps:

[0018] Step 1: Install 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 connected by laying cables for data exchange.

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

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

[0021] DCS is a distributed control system, an automation system for industrial control, responsible for collecting the operating data flow of the unit and realizing distributed management of the entire production process. Data exchange refers to the communication of data between different devices through networks, cables and other media, that is, the primary frequency modulation homologous device and the DCS system exchange data by laying cables, thereby transmitting the unit's operating status and frequency modulation instructions in real time. By installing frequency modulation analog input cards and output cards and connecting them to the DCS system, it is ensured that when the power grid frequency fluctuates, the frequency modulation instructions can quickly reach the control system.

[0022] Step 2: 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.

[0023] Specifically, the DCS system continuously monitors the operating parameters of the unit, such as load instructions, actual load, extraction flow, extraction pressure, steam turbine main control opening and frequency modulation, by connecting to various sensors of the unit, and transmits the unit operation data stream to the frequency modulation analog input card in real time. The unit operation data stream 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 instruction refers to the target power output instruction issued by the dispatcher to the unit, which usually tells the unit how much power to output based on the grid demand or system dispatch requirements. The actual load refers to the actual output power of the unit at present, reflecting the operating status and load changes of the unit. The extraction flow refers to the flow of steam in the unit that is drawn out 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 pressure refers to the pressure of the steam extracted from the steam system of the unit, which is usually used to control the flow of steam 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 control opening of the steam turbine refers to the opening of the steam valve, that is, the valve opening that controls the steam flow into the turbine. By adjusting the main control opening, the output power of the unit can be adjusted. The frequency regulation refers to the amount of grid frequency deviation, which reflects the difference between the current grid frequency and the standard frequency. It is an important parameter used to control the output power of the unit during the primary frequency regulation process.

[0024] The heating frequency regulation analysis module refers to a software module used to analyze the unit operation data and generate frequency regulation control instructions, including the constructed extraction steam regulating valve frequency regulation control network library, that is, a database that stores different frequency regulation control strategies and regulation parameters, including control networks designed according to different regulation requirements (such as load changes, power grid frequency fluctuations, etc.), covering aspects such as direction control, opening adjustment and regulation rate. According to the attribute factor parameters of the heating extraction steam regulating valve, the most suitable target extraction steam regulating valve frequency regulation control network is matched from the heating frequency regulation analysis module. After the unit operation data stream is standardized, anomaly identified and data preprocessed, the target extraction steam regulating valve frequency regulation control network is input for frequency regulation analysis to generate a frequency regulation control instruction, such as adjusting the opening or rate of the extraction steam regulating valve. The core of frequency regulation analysis is to generate frequency regulation control instructions according to the frequency change and load change of the power grid, so as to ensure that the unit can be adjusted quickly and participate in the frequency regulation process. In other words, according to the unit operation data, such as load, extraction steam flow, pressure, etc., the required frequency regulation control amount is calculated, which is usually closely related to the frequency change of the power grid, in order to ensure the stability of the power grid frequency. For example, if the unit load suddenly increases, the frequency regulation analysis module needs to analyze the magnitude of the load increase and decide whether it is necessary to adjust the steam extraction flow or adjust the valve opening to keep the grid frequency stable.

[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, a control instruction is issued to the unit to adjust the opening or flow of the extraction steam regulating valve in order to adjust the power output of the unit in response to changes in the grid frequency. Generate a primary frequency modulation control instruction to specify the operation of adjusting the extraction steam regulating valve, such as adjusting the opening of the valve to increase or decrease the extraction steam flow, thereby adjusting the power output of the unit. The unit data is received through the frequency modulation analog input card, and the data is analyzed by the heating frequency modulation analysis module. The generated frequency modulation control instruction can accurately adjust the opening of the extraction steam regulating valve, helping the unit to respond appropriately when the grid frequency fluctuates, thereby improving the stability and response speed of the unit during the primary frequency modulation process.

[0026] Step three: 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.

[0027] Specifically, the primary frequency modulation control instruction 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 and power output of the unit by receiving the frequency modulation control instruction. The DEH system adjusts the EGV valve according to the primary frequency modulation control instruction to respond to the change of the grid frequency. The EGV valve is used to adjust the steam flow 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 instruction, the EGV valve can quickly adjust the flow to meet the needs of the grid frequency. This is because the performance of the extraction steam regulating valve is not linear, and there is a certain nonlinear relationship between the valve opening and flow. Therefore, the compensation characteristic analysis of the heating extraction steam regulating valve must be carried out to ensure the accuracy and stability of the regulation system. Compensation characteristic analysis refers to analyzing the behavior of the extraction steam regulating valve under different opening and flow conditions, evaluating its regulation performance and response speed, which helps to correct system deviations in time during the regulation process and ensure precise control.

[0028] According to the compensation characteristic analysis, a steam extraction valve compensation function is determined to correct the response of the steam extraction valve during the unit frequency modulation process to ensure that the unit output is consistent with the grid frequency requirements. By collecting the flow record data set and the load deviation data set of the heating steam extraction valve, the flow record data set is analyzed for flow characteristics to obtain the valve opening-flow characteristic curve. The valve opening-flow characteristic curve is differentiated to obtain the flow change rate. The flow change rate is inverted 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 valve correction flow. Function fitting is performed 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 valve correction flow and the load deviation-flow change conversion function, the steam extraction valve compensation function is jointly established. The compensation function refers to a mathematical formula calculated based on the actual load and valve characteristics, which is used to correct the frequency modulation control instructions. By sending a frequency modulation control command to the EGV valve regulation loop, the power output of the unit can be accurately adjusted to respond to changes in the grid frequency, and the compensation characteristics of the extraction steam regulating valve can be analyzed to eliminate the regulation error caused by the nonlinear characteristics of the valve, ensuring that the flow change accurately matches the control command.

[0029] Step 4: Based on the steam 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.

[0030] Specifically, the extraction steam regulating valve compensation function is a correction function calculated based on the valve characteristics (such as the nonlinear relationship between flow and opening) and load changes during the heating frequency regulation process, which eliminates the errors in the extraction steam regulating valve regulation process and ensures the accuracy of the regulation effect. The compensation function combines factors such as the opening, flow, and load changes of the extraction steam regulating valve, and corrects the frequency regulation control command by calculating the compensation amount to ensure the regulation accuracy. The compensation function can provide a correction amount so that it can better respond to changes in 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 actual power load output by the unit, which may deviate from the grid load command due to system fluctuations or other factors. The calculated deviation value, that is, the difference between the grid load command and the actual load, represents the error between the grid demand and the unit output, reflecting the difference between the current unit and the grid load demand.

[0031] According to the deviation between the grid load command and the actual load, as well as the compensation function, the primary frequency control command is dynamically adjusted to make the load output of the unit more in line with the frequency requirements of the grid, and to respond quickly to the actual load fluctuations. Once the deviation between the grid load command and the actual load is obtained, the primary frequency control command is corrected by the compensation function, so that the unit adjustment command can reflect the load deviation in real time and adjust the operating status of the unit. For example, if the grid load command indicates that the power needs to be increased, but the actual load is low, the compensation function will calculate the flow / steam volume that needs to be increased, and then correct the frequency control command to ensure that the unit responds to the grid demand in a timely manner. Through the dynamic correction of the compensation function and the load deviation value, the primary frequency correction control command is finally obtained, which is used to fine-tune the unit to meet the grid load demand and optimize the frequency modulation effect. The primary frequency correction control command is a corrected control signal that accurately reflects the grid frequency fluctuation and the unit load change requirements. The corrected command will be transmitted to the regulation system (such as the DEH system) to make corresponding adjustments to the extraction steam regulating valve, EGV valve, etc. By dynamically correcting the primary frequency regulation control command, the unit frequency regulation effect can be finely adjusted to ensure that the unit responds more accurately to grid frequency fluctuations.

[0032] Step 5: superimpose the primary frequency modulation correction control instruction onto the output instruction of the EGV valve regulation loop, and perform frequency modulation disturbance test and performance optimization control on the target unit.

[0033] Specifically, the primary frequency modulation correction control command is superimposed on the EGV regulation output command of the DEH system EGV valve regulation loop, and the EGV valve output command will be further adjusted to take into account the deviation of the grid frequency change and the actual load. The output command of the EGV valve regulation loop is the initial regulation command generated by the EGV valve according to the unit load demand and other control signals (such as target power output), which is used to adjust the valve opening and thus adjust the unit output power. The frequency modulation disturbance test is used to verify the unit's responsiveness in the face of grid frequency fluctuations. The frequency disturbance test is a step to evaluate and verify the unit's responsiveness, and its purpose is to check the unit's regulation effect and stability 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 in actual operation and achieve efficient frequency modulation capabilities. The focus of optimized control is to improve the frequency regulation 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, it is ensured that the unit can operate stably under various load and frequency fluctuation conditions, maximize the frequency regulation capability, meet the frequency regulation needs of the grid, and ensure that the heating task is not affected. The optimized control strategy will enhance the frequency regulation capability of the unit, especially when the grid frequency fluctuates greatly, to ensure that the unit can provide or reduce power in a timely manner, ensure grid stability, and ensure the completion of the heating task.

[0034] Further, step 2 of this application includes:

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

[0036] Specifically, the data standardization procedure is a process for processing data consistency, with the purpose of converting data from different sources or 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). The unit operation data stream is format-standardized 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 each data and convert all data into the same unit and precision. Abnormal data identification is performed on the standard unit operation data stream, that is, using specific algorithms or logic to detect abnormal values ​​or data points that do not conform to the expected pattern in the data stream, including inconsistent data and over-threshold data, 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; over-threshold data refers to data points whose data values ​​exceed the preset safety range or threshold.

[0037] According to the identified abnormal data, the preprocessing steps are determined to correct or filter the abnormal data, such as replacing the abnormal value with a reasonable estimated value, correcting the sensor reading, etc. For example, for the extraction pressure that exceeds the range, the interpolation algorithm is used to supplement the appropriate value; for the mutation data, the data smoothing or filtering algorithm is used to remove the noise. After preprocessing the abnormal unit operation data, the available unit operation data stream is obtained. The target extraction valve frequency modulation control network established in advance is called to perform frequency modulation analysis on the available unit operation data stream. Frequency modulation analysis is performed according to the real-time parameters in the data stream (such as load instructions, actual load, extraction flow, etc.) to generate the corresponding primary frequency modulation control instructions. Frequency modulation analysis refers to the use of deep learning networks to process and analyze the unit operation data stream to determine the best frequency modulation control network, that is, the target extraction valve frequency modulation control network. The target extraction valve frequency modulation control network outputs a primary frequency modulation control instruction, such as adjusting the opening or rate of the extraction valve. The unit operation data is uniformly processed through data standardization, abnormal data is removed and preprocessed, so as to obtain a reliable and available data stream. The frequency control network performs frequency analysis on these data and finally outputs frequency control instructions to ensure that the unit can be adjusted efficiently and stably when participating in primary frequency regulation to meet the requirements of grid frequency stability.

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

[0039] The unit operation frequency modulation database is obtained through data mining technology, and the unit operation frequency modulation database includes historical unit operation data and corresponding extraction valve frequency modulation control data that meets the frequency modulation target; the extraction valve attribute factor information is obtained, and the extraction valve attribute factor information includes size specification attributes, flow regulation attributes and working performance attributes; the unit operation frequency modulation database is classified and identified according to the extraction valve attribute factor information to obtain a multi-attribute parameter valve frequency modulation data set; the multi-attribute parameter valve frequency modulation data set is respectively subjected to frequency modulation training integration and matching call by using a deep learning network structure to obtain the target extraction valve frequency modulation 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 is helpful for analyzing and evaluating 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 valve frequency regulation control data that meet the frequency regulation target. The frequency regulation target refers to the power grid's requirements 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, usually including specific frequency deviation ranges and response time requirements. The extraction steam valve frequency regulation control data refers to the specific data for controlling the extraction steam valve to adjust the frequency, including information on related parameters such as valve opening, extraction steam flow, response time, etc. under different operating states and different load conditions. The extraction steam valve frequency regulation control data that meets the frequency regulation target refers to the data that is selected from historical data and can effectively achieve the frequency regulation target. Data mining technology is a method of extracting useful information and patterns from a large amount of data. It analyzes historical data through statistical analysis, machine learning, etc. to discover potential laws and associations.

[0041] A large amount of data is collected from the historical operation records of the unit, including load instructions, actual load, extraction flow, extraction pressure, frequency modulation, etc. The historical data is cleaned and analyzed using data mining techniques (such as clustering, classification and regression analysis). Tools such as SQL and Python's pandas library are used to implement data mining and screen out key parameters that affect the frequency modulation effect (such as load changes, extraction flow, valve opening, etc.).

[0042] Get the attribute factor information of the steam extraction regulating valve, including the valve size, flow regulation capability 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 and temperature resistance of the valve. The attribute factor information of the steam extraction regulating valve refers to the set of parameters that describe the performance and characteristics of the regulating valve, usually including size specifications (such as valve diameter, length, etc.), flow regulation (the flow regulation capability of the valve at different openings) and working performance (such as pressure resistance, temperature resistance, response time, leakage rate, etc.).

[0043] The data in the unit operation frequency modulation database is classified and identified 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 the unit operation frequency modulation database is classified and identified. It is a valve control frequency modulation data set containing multiple attribute parameters (such as size specifications, flow regulation, working performance, etc.), which mainly records the key attributes of the frequency modulation process, including control direction, opening, rate, etc. The unit operation frequency modulation database classifies the control valve data with different attributes by classifying the multiple attributes of the control valve (such as size, flow, performance, etc.).

[0044] The frequency modulation training of multi-attribute parameter valve frequency modulation data sets was carried out respectively by using deep learning network structure, and the multi-attribute parameter valve control direction network set, multi-attribute parameter valve control opening network set and multi-attribute parameter valve control rate network set were obtained. The three network sets were merged and connected to obtain the multi-attribute parameter valve frequency modulation control network set. The multi-attribute parameter valve frequency modulation control network set was classified, integrated and identified according to the attribute factor parameter type, and the extraction valve frequency modulation control network library was constructed. According to the attribute factor parameters of the heating extraction steam valve, the most suitable network was matched and retrieved in the extraction valve frequency modulation control network library to realize the frequency modulation control of the extraction valve as the target extraction valve frequency modulation control network. The target extraction valve frequency modulation control network can output the corresponding frequency modulation control instructions, such as control direction, opening, regulation rate, etc., based on the attributes of the current extraction valve and the target frequency modulation task. Through deep learning training and matching, the most suitable frequency modulation strategy is selected according to the attributes of different valves to avoid inaccuracies in manual adjustment.

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

[0046] The multi-attribute parameter valve regulating and frequency modulation data sets are respectively subjected to frequency modulation training 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 regulating control direction network set, the multi-attribute parameter valve regulating control opening network set and the multi-attribute parameter valve regulating control rate network set are connected and merged to obtain a multi-attribute parameter valve regulating and frequency modulation control network set; the multi-attribute parameter valve regulating and frequency modulation control network set is integrated and identified according to the attribute factor parameter type, and a steam extraction valve frequency modulation control network library is constructed and stored in the heating frequency modulation analysis module; the attribute factor parameters of the heating steam extraction valve are matched and called with the steam extraction valve frequency modulation control network library to obtain the target steam extraction valve frequency modulation control network.

[0047] Specifically, the multi-attribute parameters of the valve control, including control direction, control opening, and control rate, are screened out through the frequency modulation data set, and divided into three independent data sets according to different control dimensions (direction, opening, and rate). The deep learning network structure is a neural network with multiple levels, which is used to learn complex nonlinear relationships from data. Use a deep learning framework (such as TensorFlow or PyTorch) to train the direction, opening, and rate data sets separately. According to the characteristics of each data set, select a suitable network structure: the direction control network uses a binary classification model (such as a multi-layer perceptron or a convolutional neural network) to learn direction changes; 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 valve according to the input data (such as size specifications, flow regulation properties, etc.). Each model adjusts the weight through continuous iteration to make the predicted value close to the true value. Direction control network training learns in which direction (increase or decrease the opening) the valve should be adjusted under a specific load change to meet the frequency regulation target; opening control network training learns the optimal opening to which the valve should be adjusted under different working conditions to achieve fast and accurate frequency regulation; rate control network training learns the optimal rate of change of valve opening to make the regulation smooth without excessive or hysteresis. After the training is completed, 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 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 regulation process to meet the frequency regulation target. Frequency modulation training refers to the use of a deep learning network structure to train each attribute parameter in the data set (such as control direction, opening, and rate) separately to learn the relationship between these parameters and frequency modulation requirements, thereby providing a reference for subsequent frequency modulation control.

[0049] 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 generate a comprehensive multi-attribute parameter valve control frequency control network set. Similar to the integration of models, the prediction information of different networks is integrated so that the three can work together in practical applications. The network model structure 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, by passing the outputs of three networks as inputs to an integrated network layer to generate unified control instructions. Layer-by-layer integration means that the networks are arranged 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 the network is integrated, the frequency modulation system can input operating data (such as load changes and frequency deviations), and the network set will automatically process the data and generate the final frequency modulation control instructions, including multi-dimensional control information such as direction, opening, and rate, to meet different frequency modulation requirements. Since the integrated network structure is more complex, the overall debugging and verification is required. Through retraining or calibration, it is ensured 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] The multi-attribute parameter valve frequency modulation control network set is integrated and identified according to the attribute factor parameter type (such as size specification, flow regulation, working performance, etc.), and each multi-attribute parameter valve frequency modulation control network set is classified and labeled. The integrated and identified control network set is constructed into a comprehensive database, namely, the extraction valve frequency modulation control network library. The constructed control network library is stored in the heating frequency modulation analysis module, which will call the library during operation to extract control instructions. The heating frequency modulation analysis module is a module responsible for analyzing the heating frequency modulation related data and generating adjustment instructions. The attribute factor parameters of the heating extraction steam control valve are the parameters that describe the characteristics of the extraction steam control valve, including size specification parameters, flow regulation parameters and working performance parameters. By analyzing the attribute factors of the heating extraction steam control valve and combining the data in the extraction steam control valve frequency modulation control network library, the network that best suits the current working conditions is selected to obtain the target extraction steam control valve frequency modulation control network. By calling the matching control network, the target frequency modulation control model of the extraction steam control valve is obtained to guide the specific operation of the frequency modulation control.

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

[0052] The flow record data set and the load deviation data set of the heating extraction steam regulating valve are collected and acquired, and the flow characteristic analysis is performed 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; the flow change rate is inverted by 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; the flow record data set and the load deviation data set are fitted with functions to construct a load deviation-flow change conversion function; and the extraction steam regulating valve compensation function is established based on the valve opening-flow characteristic curve, the valve correction flow and the load deviation-flow change conversion function.

[0053] Specifically, the flow record data set and load deviation data set of the heating extraction steam regulating valve are collected. The flow record data set records the flow data of the extraction steam regulating valve at each moment during operation, which is usually collected by a flow sensor; the load deviation data set records the deviation between the actual value of the unit load and the command value, that is, the difference between the unit load and the target load. The flow record data set of the extraction steam regulating valve is obtained through a monitoring system or DCS (distributed control system), which records the real-time flow of the extraction steam regulating valve, including the flow output under different load conditions. The load deviation data is collected to reflect the difference between the actual load and the target load of the unit. The flow characteristic analysis of the flow record data set is performed, and the relationship between the flow change and the valve opening is studied by statistical and mathematical modeling of the flow data of the extraction steam regulating valve. Since there is usually a nonlinear relationship between the flow and the opening of the extraction steam regulating valve, the flow characteristic analysis aims to reveal this relationship, thereby providing a basis for subsequent regulation operations. The valve opening-flow characteristic curve refers to a curve that describes the relationship between the valve opening and the flow through the valve. It is usually used to analyze 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 exhibits nonlinear characteristics.

[0054] By performing differential processing on the valve opening-flow characteristic curve, the derivative of the flow rate with respect to the valve opening is obtained, and the flow rate change rate, that is, the rate at which the flow rate changes with the opening, is calculated. The flow rate change rate can reflect the sensitivity of the flow change when the valve opening changes. The relative gain compensation method is used to calculate the inverse of the flow rate change rate to obtain the nonlinear correction coefficient of the flow rate. The relative gain compensation method is a control method used to deal with nonlinear systems. By inverting the flow rate change rate, the flow compensation coefficient is obtained to correct the nonlinear relationship between the valve opening and the flow rate. The flow compensation coefficient is multiplied by the original valve opening to obtain the valve correction flow rate. For example, assuming that a certain flow rate change rate is 2, the compensation coefficient is obtained after inverting it, and then the original valve opening is corrected using the compensation coefficient to obtain the corrected flow rate.

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

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

[0057] The extraction steam regulating valve compensation function is specifically: , 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, ∆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.

[0058] Specifically, the extraction valve compensation function is to calculate the compensation required to adjust the extraction flow rate based on the current valve opening and load deviation. The extraction valve compensation function is: ,in, is the extraction steam regulating valve compensation function, which is used to correct the control command of the extraction steam regulating valve to balance the load and grid frequency during the frequency modulation process. V refers to the valve opening, that is, the current valve opening; ∆L is the load deviation data, that is, the difference between the actual load and the target load; Q c is the valve correction flow, the target flow, that is, the ideal flow value that the unit should reach when running; h(∆L) is the load deviation-flow change conversion function, which corrects the flow demand according to the load deviation, that is, determines the flow 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 (value corrected by the load deviation) into the control instruction of the valve opening, and is used to calculate the corresponding valve opening from the given flow value; g is the compensation correction experience 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 nonlinearity or other factors in actual operation. By combining load deviation and valve characteristics, the valve opening is accurately controlled to ensure the accuracy of the frequency modulation process.

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

[0060] According to the extraction steam frequency regulation control rule, the unit command control strategy is determined, and based on the unit command control strategy, the primary frequency regulation correction control command is superimposed on the output command of the EGV valve regulation loop to obtain the unit frequency regulation control command; according to the unit performance optimization target, the unit frequency regulation control command is subjected to a frequency regulation disturbance test to obtain the unit frequency regulation performance record data; based on the unit frequency regulation performance record data, an evaluation is performed to obtain the unit primary frequency regulation power contribution index; based on the unit primary frequency regulation power contribution index, the unit command control strategy is optimized to obtain the unit command optimization control strategy, and the target unit is subjected to performance optimization control through the unit command optimization control strategy.

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

[0062] The performance optimization target of the unit is a performance indicator set to improve the operating 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, the output power of the unit must meet the grid frequency requirements and minimize the impact on the heating system when responding to the change of grid frequency. The EGV valve (electronic valve) regulation loop is part of the unit control system, responsible for regulating the steam flow and then regulating the output power of the unit. According to the unit performance optimization target, the frequency modulation control command is subjected to a disturbance test. The frequency modulation disturbance test is a verification process for the frequency modulation performance of the unit. By simulating different situations of grid frequency fluctuations, the unit's response ability and stability in the face of these fluctuations are tested. The unit's performance under different loads and frequency fluctuations is evaluated through testing, and its frequency modulation response speed, accuracy and stability are detected. The unit frequency modulation performance recording data records the response of the unit during the frequency modulation disturbance test, including information such as changes in its output power and adjustments to frequency deviation.

[0063] By evaluating the frequency regulation performance data of the unit, the unit's primary frequency regulation power contribution index is obtained, which reflects the degree of contribution of the unit to the stability of the grid frequency during the primary frequency regulation process. The higher the unit's primary frequency regulation power contribution index, the better the unit's performance in the frequency regulation process, and the more effectively it can respond to frequency fluctuations and maintain the stability of the grid. Based on the unit's primary frequency regulation power contribution index, the unit's command control strategy is adjusted. By fine-tuning the unit's control strategy, the response effect and qualified rate of the primary frequency regulation can be improved without affecting the heat supply, including adjusting the unit's response speed to frequency changes, ensuring that the unit can recover quickly in the face of large disturbances, and improving the frequency regulation accuracy under large load and high steam extraction conditions. After optimization, the new control strategy can adjust the unit output more accurately, especially in the face of large fluctuations in grid frequency, ensuring that the unit responds quickly and accurately without affecting the heat supply demand.

[0064] The specific control of the unit is carried out using the unit instruction optimization control strategy to adjust the unit output so that it can better cope with the grid frequency fluctuation in actual operation, especially under the condition of steam extraction heating, to ensure the accurate response of the frequency modulation loop and improve the frequency modulation qualification rate during large remote disturbances. Through the careful evaluation and optimization of the unit performance, it is ensured that the unit provides the best frequency modulation response without affecting the heating demand, which not only improves the frequency modulation effect, but also optimizes the unit's operating efficiency.

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

[0066] 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 The preferred values ​​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.

[0067] Specifically, the purpose of constructing the primary frequency regulation power contribution function is to evaluate the contribution of the unit to the grid frequency regulation in different time periods and to obtain the overall performance of the unit in the primary frequency regulation process. %15 , Q %30 , Q %45 It is the percentage of contribution of the unit to the primary frequency regulation in different time periods. %15 It indicates the contribution percentage of the unit to perform frequency regulation within 15 seconds, through Q %15 =ΔQ S15 / ΔQ E15 ×100% calculated. ΔQ S15 ΔQ is the actual power contribution of the unit's 15-second frequency modulation. E15 It is the theoretical integral power of the unit's frequency regulation once every 15 seconds (the frequency regulation power that should be provided theoretically). %30 , Q %45 k15, k30, k45 are the weight coefficients of the unit frequency regulation contribution index within 15 seconds, 30 seconds and 45 seconds respectively. 15 +k 30 +k45 =1, ensuring that the sum of the weight coefficients is 1, i.e. the total contribution weight of all time periods. k 15 , k 30 , k 45 The preferred values ​​are 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, 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 , which represents the weighted average of the unit's frequency regulation contribution within 15 seconds, 30 seconds and 45 seconds. The unit's frequency regulation performance record data is evaluated using the primary frequency regulation power contribution function, the frequency regulation contribution percentage in each time period is calculated, and the contribution percentage of each time period is weighted and summed according to the corresponding weight to obtain the unit's primary frequency regulation power contribution index.

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

[0069] The optimization direction of the primary frequency regulation power contribution index of the unit is analyzed to obtain the strategy optimization variation rule; based on the strategy optimization variation rule, the unit command control strategy is mutated and updated and simulated to obtain the unit command optimization control strategy.

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

[0071] When optimizing the unit's primary frequency regulation power contribution index, it is necessary to optimize the unit's command control strategy through certain mutation rules. The mutation rule refers to making certain changes to the current control strategy in order to find a more effective control strategy. The mutation rule can be defined as a random or local adjustment 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. Under the guidance of the mutation rule, the unit command control strategy is adjusted, including changing the time response of the frequency regulation command, adjusting the correction method of the load deviation, or optimizing the response to external disturbances. Through simulation testing of different control strategies, the performance of each mutated strategy in the actual unit frequency regulation process is evaluated. The simulation can simulate the unit's frequency regulation response under different load conditions, the stability under different disturbances, etc., and finally select the optimal unit command optimization control strategy through the simulation results. Through mutation update and simulation optimization, the optimized unit command control strategy is obtained, which effectively improves the unit's frequency regulation capability, especially in the case of large disturbances and load changes, and ensures that the unit's frequency regulation effect is improved without affecting the unit's heating. The optimized unit command control strategy can help the unit better perform a frequency regulation task, improve the unit's frequency regulation response capability and efficiency, and reduce the negative impact on grid frequency fluctuations, thereby ensuring the stability of the grid and meeting heating demand.

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

[0073] A frequency modulation analog input card and a frequency modulation analog output card are installed 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; the primary frequency modulation control instruction is sent to the EGV valve regulating loop of the DEH system based on the frequency modulation analog output card, and the compensation characteristic of the heating extraction steam regulating valve is analyzed to determine the extraction steam regulating valve compensation function; the primary frequency modulation control instruction is dynamically corrected based on the deviation value between the extraction steam regulating valve compensation function and the grid load instruction and the actual load to obtain a primary frequency modulation correction control instruction; the primary frequency modulation correction control instruction is superimposed on the output instruction of the EGV valve regulating loop to perform frequency modulation disturbance test 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 the heating frequency modulation analysis module generates accurate frequency modulation control instructions. The dynamic correction function and compensation characteristic analysis are used to perform precise dynamic adjustments to the frequency modulation control instructions, so that the frequency modulation instructions are more in line with the actual load demand, reducing the frequency deviation, thereby improving the frequency modulation qualification rate of the heating unit under frequent frequency fluctuations.

[0074] Embodiment 2, based on the same inventive concept as the method for optimizing and improving the performance of the next frequency regulation in the heating mode of the unit in the aforementioned embodiment 1, the present application also provides a system for optimizing and improving the performance of the next frequency regulation in the heating mode of the unit, please refer to the attached Figure 2 The system for optimizing and improving the frequency regulation performance of the unit in the heating mode includes:

[0075] The card installation module 11 is used to install 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 lay cables for data exchange.

[0076] The instruction generation module 12 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 modulation control instruction for the heating extraction steam regulating valve.

[0077] The compensation analysis module 13 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.

[0078] The instruction correction module 14 is used to dynamically correct the primary frequency regulation 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 regulation correction control instruction.

[0079] The performance optimization module 15 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 test and performance optimization control on the target unit.

[0080] Furthermore, the instruction generation module 12 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

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

[0082] Furthermore, the instruction generation module 12 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

[0083] The unit operation frequency modulation database is obtained through data mining technology, and the unit operation frequency modulation database includes historical unit operation data and corresponding extraction valve frequency modulation control data that meets the frequency modulation target; the extraction valve attribute factor information is obtained, and the extraction valve attribute factor information includes size specification attributes, flow regulation attributes and working performance attributes; the unit operation frequency modulation database is classified and identified according to the extraction valve attribute factor information to obtain a multi-attribute parameter valve frequency modulation data set; the multi-attribute parameter valve frequency modulation data set is respectively subjected to frequency modulation training integration and matching call by using a deep learning network structure to obtain the target extraction valve frequency modulation control network.

[0084] Furthermore, the instruction generation module 12 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

[0085] The multi-attribute parameter valve regulating and frequency modulation data sets are respectively subjected to frequency modulation training 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 regulating control direction network set, the multi-attribute parameter valve regulating control opening network set and the multi-attribute parameter valve regulating control rate network set are connected and merged to obtain a multi-attribute parameter valve regulating and frequency modulation control network set; the multi-attribute parameter valve regulating and frequency modulation control network set is integrated and identified according to the attribute factor parameter type, and a steam extraction valve frequency modulation control network library is constructed and stored in the heating frequency modulation analysis module; the attribute factor parameters of the heating steam extraction valve are matched and called with the steam extraction valve frequency modulation control network library to obtain the target steam extraction valve frequency modulation control network.

[0086] Furthermore, the compensation analysis module 13 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

[0087] The flow record data set and the load deviation data set of the heating extraction steam regulating valve are collected and acquired, and the flow characteristic analysis is performed 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; the flow change rate is inverted by 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; the flow record data set and the load deviation data set are fitted with functions to construct a load deviation-flow change conversion function; and the extraction steam regulating valve compensation function is established based on the valve opening-flow characteristic curve, the valve correction flow and the load deviation-flow change conversion function.

[0088] Furthermore, the compensation analysis module 13 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

[0089] The extraction steam regulating valve compensation function is specifically: , 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, ∆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] Furthermore, the performance optimization module 15 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

[0091] According to the extraction steam frequency regulation control rule, the unit command control strategy is determined, and based on the unit command control strategy, the primary frequency regulation correction control command is superimposed on the output command of the EGV valve regulation loop to obtain the unit frequency regulation control command; according to the unit performance optimization target, the unit frequency regulation control command is subjected to a frequency regulation disturbance test to obtain the unit frequency regulation performance record data; based on the unit frequency regulation performance record data, an evaluation is performed to obtain the unit primary frequency regulation power contribution index; based on the unit primary frequency regulation power contribution index, the unit command control strategy is optimized to obtain the unit command optimization control strategy, and the target unit is subjected to performance optimization control through the unit command optimization control strategy.

[0092] Furthermore, the performance optimization module 15 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

[0093] 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 The preferred values ​​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.

[0094] Furthermore, the performance optimization module 15 in the system for optimizing and improving the frequency regulation performance in the heating mode of the unit is also used for:

[0095] The optimization direction of the primary frequency regulation power contribution index of the unit is analyzed to obtain the strategy optimization variation rule; based on the strategy optimization variation rule, the unit command control strategy is mutated and updated and simulated to obtain the unit command optimization control strategy.

[0096] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The method and specific examples for optimizing and improving the performance of the next frequency regulation under the unit heating mode in the first embodiment are also applicable to the system for optimizing and improving the performance of the next frequency regulation under the unit heating mode in this embodiment. Through the above detailed description of the method for optimizing and improving the performance of the next frequency regulation under the unit heating mode, those skilled in the art can clearly know the system for optimizing and improving the performance of the next frequency regulation under the unit heating mode in this embodiment, so for the sake of brevity of the specification, it will not be described in detail 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 method part description.

[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 apparent to those skilled in the art, and the general principles defined herein may 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 the embodiments shown herein, but will conform to 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 belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications 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.

2. The method for optimizing and improving the frequency regulation performance of a unit in heating mode 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 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; The extraction steam regulating valve compensation function is established based on the valve opening-flow characteristic curve, the valve correction flow and the load deviation-flow change conversion function.

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 extraction steam regulating valve compensation function is specifically: , where f -1 It is the inverse function of the valve opening-flow characteristic curve and is used to calculate the valve opening from the flow, Q c is the valve correction 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.

7. The method for optimizing and improving the primary frequency regulation performance in the heating mode of the unit according to claim 6, 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.

8. The method for optimizing and improving the primary frequency regulation performance in the heating mode of the unit according to claim 7, 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 Preferably, 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.

9. The method for optimizing and improving the primary frequency regulation performance in the heating mode of a unit according to claim 7, 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.

10. 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 9, 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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