Coal power control method and system based on adaptive adjustment

Abstract

The invention relates to the technical field of coal-fired units, in particular to a coal-electricity control method and system based on self-adaptive adjustment. Comprising the steps of setting an operation condition model and a plurality of sensing points according to historical operation data of the coal-fired unit; acquiring monitoring data packets of each sensing point according to a preset monitoring time node, and setting a primary control strategy of the coal-fired unit according to all the monitoring data packets and the operation condition model; and generating an operation record package of the coal-fired unit, and setting an updating strategy of the operation condition model according to the operation record package. The operation state of the coal-fired unit is monitored in real time by setting the multiple sensing points, the working condition type corresponding to the current operation state is judged according to the constructed operation working condition model, the operation parameters of the coal-fired unit are adjusted in time, and the operation efficiency of the coal-fired unit is improved. And meanwhile, by periodically optimizing the operation condition model, the matching efficiency of the coal-fired unit for different condition states is improved, and the safety and economical efficiency of unit operation are guaranteed.

Description

Technical Field

[0001] This application relates to the field of coal-fired power unit technology, and in particular to a coal-fired power control method and system based on adaptive regulation. Background Technology

[0002] As a crucial pillar of electricity supply, coal-fired power generation's operation and control level directly impacts unit efficiency, pollutant emissions, and equipment lifespan. Currently, the control of coal-fired units largely relies on preset operating procedures or controllers with fixed parameters. However, in actual operation, due to fluctuations in coal quality, load changes, equipment condition evolution, and environmental interference, the unit's operating conditions are complex and variable. This time-varying and uncertain nature makes it difficult for fixed control strategies to remain optimal across the entire operating range, easily leading to control response lag, decreased regulation quality, and even system oscillations, thus restricting the unit's economic efficiency and safety.

[0003] While some existing technologies attempt to optimize control through operating condition segmentation or historical data matching, these methods typically rely heavily on prior knowledge and suffer from lagging model updates, making it difficult to achieve real-time and accurate perception of operating conditions and adaptive adjustment of control strategies. Particularly when encountering atypical operating conditions that differ significantly from historical standard operating conditions, the lack of effective transitional operating condition handling and compensation mechanisms results in insufficient control adaptability. Summary of the Invention

[0004] The purpose of this application is to provide a coal-fired power plant control method and system based on adaptive adjustment to solve the above-mentioned technical problems, aiming to improve the operating efficiency of coal-fired power units and enhance the safety and economy of unit operation.

[0005] In some embodiments of this application, multiple sensing points are set up to monitor the operating status of the coal-fired power unit in real time, and the operating condition category corresponding to the current operating status is determined according to the constructed operating condition model. The operating parameters of the coal-fired power unit are adjusted in a timely manner to improve the operating efficiency and safety of the coal-fired power unit.

[0006] In some embodiments of this application, by constructing an association evaluation model, the non-standard operating conditions of the coal-fired power unit are associated with and optimized with each standard sub-operating condition, thereby improving the control efficiency of the coal-fired power unit under complex operating conditions. At the same time, by periodically optimizing the operating condition model, the matching efficiency of the coal-fired power unit for different operating conditions is improved, ensuring the safety and economy of the unit operation.

[0007] In some embodiments of this application, a coal-fired power plant control method based on adaptive adjustment is provided, including:

[0008] Based on historical operating data of coal-fired power units, an operating condition model and multiple sensing points are set up;

[0009] The monitoring data packets of each sensing point are obtained according to the preset monitoring time nodes, and the primary control strategy of the coal-fired unit is set according to all monitoring data packets and the operating condition model.

[0010] Generate an operation record package for the coal-fired unit, and set an update strategy for the operating condition model based on the operation record package.

[0011] In some embodiments of this application, the setting of the operating condition model includes:

[0012] Multiple standard sub-conditions are generated based on historical operating data;

[0013] Establish a standard sub-operating condition sequence A, A = (a1, a2, ..., a3) i …a n ), where a i This represents the i-th standard sub-condition; n is the number of standard sub-conditions.

[0014] Based on the standard sub-working condition sequence A, a is set sequentially. i For the target sub-condition;

[0015] Generate the expected control strategy for the target sub-condition;

[0016] Set the expected control strategies for each standard sub-condition in sequence;

[0017] Generate a control strategy library based on all anticipated control strategies;

[0018] A correlation evaluation model is constructed based on all standard sub-working conditions. The correlation evaluation model includes a correlation sub-model and an evaluation sub-model.

[0019] The operating condition model is set based on the control strategy library and the associated evaluation model.

[0020] In some embodiments of this application, a primary control strategy for coal-fired power units is set, including:

[0021] Acquire the monitoring data packets of each sensing point at the current monitoring time node;

[0022] Generate a characteristic package of the coal-fired unit's operating condition at the current monitoring time point based on all monitoring data packets;

[0023] The model generates a package of working condition features and matching values ​​for each standard sub-working condition based on the correlation evaluation model.

[0024] Set the maximum value among all matched values ​​as the first matched value w;

[0025] Preset matching threshold W1;

[0026] If w > W1, set the expected control strategy corresponding to the first matching value w as the first-level control strategy;

[0027] If w < W1, generate a first-level evaluation instruction and set a first-level control strategy according to the first-level evaluation instruction;

[0028] Establish a feedback timeline based on the primary control strategy;

[0029] The system determines whether to generate a correction instruction for the primary control strategy based on the feedback timeline.

[0030] In some embodiments of this application, the first-level evaluation instructions include:

[0031] Transitional operating conditions are constructed based on the operating condition characteristic package of coal-fired power units;

[0032] Based on the standard sub-working condition sequence A, a is set sequentially. i For the conditions to be associated;

[0033] Compensation sub-strategies for transitional and expected sub-conditions are generated based on the associated sub-model;

[0034] Compensation sub-strategies for transitional working conditions and each standard sub-working condition are generated sequentially;

[0035] Establish a sequence of compensation sub-policies, B, where B = (b1, b2, ..., bb3). i …b n ), where b i Let n be the i-th compensation sub-strategy; n is the number of compensation sub-strategies.

[0036] The operational evaluation values ​​of each compensation sub-strategy are generated based on the correlation sub-model;

[0037] The compensation sub-strategy corresponding to the maximum value among all operational evaluation values ​​is set as the first-level compensation strategy;

[0038] The standard sub-condition corresponding to the first-level compensation strategy is set as the desired sub-condition;

[0039] The first-level control strategy is generated based on the expected control strategy and the first-level compensation strategy for the expected sub-operating conditions.

[0040] In some embodiments of this application, the generation of operational evaluation values ​​for each compensation sub-strategy includes:

[0041] b is set sequentially according to the compensation sub-strategy sequence B. i For target compensation strategies;

[0042] Generate the operational evaluation value c of the target compensation strategy;

[0043]

[0044] Where e is the compensation coefficient set based on the matching value between the standard sub-condition and the transition condition corresponding to the target compensation sub-strategy; θ1 is the number of control evaluation indicators; βi s is the influencing factor of the i-th regulation evaluation index; i It is a reference value for generating the i-th regulation evaluation index based on the target compensation strategy.

[0045] In some embodiments of this application, the update strategy for the operating condition model is set according to the operating record package, including:

[0046] Based on the operation record package, establish a transitional operating condition sequence W, where W = (w1, w2, ..., w3) i …w m ), where w i This represents the i-th transition condition; m is the number of transition conditions.

[0047] Based on the transition condition series W, set w sequentially. i For the target transitional operating condition;

[0048] Generate an updated evaluation value f for the target transition condition;

[0049] Preset update evaluation value threshold F1;

[0050] If f > F1, the target transition condition is set as the first-level condition;

[0051] Determine in turn whether each transition condition is a Level 1 condition.

[0052] Generate aggregate instructions for all first-level operating conditions;

[0053] Multiple operating condition subsets are generated based on the aggregation results, and a first-level update strategy is generated based on all operating condition subsets.

[0054] In some embodiments of this application, generating an updated evaluation value f for the target transition condition includes:

[0055]

[0056] Where m is the number of transitional operating conditions; k i Let K1 be the similarity value between the i-th transition condition and the target transition condition; K1 is the preset similarity threshold; r is the update compensation coefficient; U1 is the preset first conversion coefficient; Y(i) is the selection coefficient; if (k i -K1)>0, Y(i)=1; if (k i -K1)<0, Y(i)=0.

[0057] In some embodiments of this application, an adaptive adjustment-based coal-fired power plant control system is provided, comprising:

[0058] The central control unit is used to set up an operating condition model and multiple sensing points based on the historical operating data of the coal-fired power unit;

[0059] The acquisition unit includes multiple acquisition sub-modules, which are located at various sensing points; the acquisition unit is used to generate monitoring data packets for each sensing point.

[0060] The central control unit includes:

[0061] The first processing module is used to acquire monitoring data packets of each sensing point according to the preset monitoring time nodes, and to set the primary control strategy of the coal-fired unit according to all monitoring data packets and the operating condition model.

[0062] The second processing module is used to generate the operation record package of the coal-fired unit and set the update strategy of the operation condition model based on the operation record package.

[0063] In some embodiments of this application, the central control unit further includes:

[0064] The third processing module is used to generate various standard sub-conditions based on historical operating data;

[0065] Establish a standard sub-operating condition sequence A, A = (a1, a2, ..., a3) i …a n ), where a i This represents the i-th standard sub-condition; n is the number of standard sub-conditions.

[0066] Based on the standard sub-working condition sequence A, a is set sequentially. i For the target sub-condition;

[0067] Generate the expected control strategy for the target sub-condition;

[0068] Set the expected control strategies for each standard sub-condition in sequence;

[0069] Generate a control strategy library based on all anticipated control strategies;

[0070] A correlation evaluation model is constructed based on all standard sub-working conditions. The correlation evaluation model includes a correlation sub-model and an evaluation sub-model.

[0071] The operating condition model is set based on the control strategy library and the associated evaluation model.

[0072] In some embodiments of this application, the first processing module is further configured to:

[0073] Acquire the monitoring data packets of each sensing point at the current monitoring time node;

[0074] Generate a characteristic package of the coal-fired unit's operating condition at the current monitoring time point based on all monitoring data packets;

[0075] The model generates a package of working condition features and matching values ​​for each standard sub-working condition based on the correlation evaluation model.

[0076] Set the maximum value among all matched values ​​as the first matched value w;

[0077] Preset matching threshold W1;

[0078] If w > W1, set the expected control strategy corresponding to the first matching value w as the first-level control strategy;

[0079] If w < W1, generate a first-level evaluation instruction and set a first-level control strategy according to the first-level evaluation instruction;

[0080] Establish a feedback timeline based on the primary control strategy;

[0081] Determine whether to generate a correction instruction for the primary control strategy based on the feedback timeline;

[0082] The Level 1 assessment instructions include:

[0083] Transitional operating conditions are constructed based on the operating condition characteristic package of coal-fired power units;

[0084] Based on the standard sub-working condition sequence A, a is set sequentially. i For the conditions to be associated;

[0085] Compensation sub-strategies for transitional and expected sub-conditions are generated based on the associated sub-model;

[0086] Compensation sub-strategies for transitional working conditions and each standard sub-working condition are generated sequentially;

[0087] Establish a sequence of compensation sub-policies, B, where B = (b1, b2, ..., bb3). i …b n ), where b i Let n be the i-th compensation sub-strategy; n is the number of compensation sub-strategies.

[0088] The operational evaluation values ​​of each compensation sub-strategy are generated based on the correlation sub-model;

[0089] The compensation sub-strategy corresponding to the maximum value among all operational evaluation values ​​is set as the first-level compensation strategy;

[0090] The standard sub-condition corresponding to the first-level compensation strategy is set as the desired sub-condition;

[0091] The first-level control strategy is generated based on the expected control strategy and the first-level compensation strategy for the expected sub-operating conditions.

[0092] Compared with the prior art, the adaptive adjustment-based coal-fired power plant control method and system of this application have the following advantages:

[0093] By setting up multiple sensing points to monitor the operating status of coal-fired power units in real time, and determining the operating condition category corresponding to the current operating status based on the constructed operating condition model, the operating parameters of the coal-fired power units can be adjusted in a timely manner to improve the operating efficiency and safety of the coal-fired power units.

[0094] By constructing an association evaluation model, the non-standard operating conditions of coal-fired power units are correlated and optimized with various standard sub-operating conditions, thereby improving the control efficiency of complex operating conditions of coal-fired power units. At the same time, by periodically optimizing the operating condition model, the matching efficiency of coal-fired power units for different operating conditions is improved, ensuring the safety and economy of unit operation. Attached Figure Description

[0095] Figure 1 This is a flowchart illustrating a preferred embodiment of a coal-fired power plant control method based on adaptive adjustment. Detailed Implementation

[0096] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0097] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0098] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0099] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0100] like Figure 1As shown, a preferred embodiment of the coal-fired power plant control method based on adaptive adjustment in this application includes:

[0101] S101: Set up an operating condition model and multiple sensing points based on historical operating data of coal-fired power units;

[0102] S102: Obtain monitoring data packets for each sensing point according to the preset monitoring time nodes, and set the primary control strategy for the coal-fired unit based on all monitoring data packets and the operating condition model.

[0103] S103: Generate the operation record package of the coal-fired unit, and set the update strategy of the operation condition model based on the operation record package.

[0104] Specifically, multiple operating condition indicators are generated based on the historical operating parameters of the coal-fired power unit. These indicators include, but are not limited to, load commands, main steam pressure, main steam temperature, total coal feed rate, total air volume, flue gas oxygen content, steam drum water level, fuel characteristic data, and other parameters related to the operation of the coal-fired power unit. By quantifying each operating condition indicator, the reference values ​​of each indicator are made to be within the same range.

[0105] Specifically, by analyzing operating condition indicators and structural parameters of coal-fired power units, multiple data source points (i.e., locations where various types of operating condition indicators can be collected) are selected. Multiple sensing points are set based on all data source points. Each sensing point represents a data source point, and each sensing point is equipped with a collection submodule for collecting real-time operating data.

[0106] Specifically, the acquisition submodule is preferably a data acquisition device of various types, and each sensing point selects the corresponding data acquisition device according to the type of data to be acquired.

[0107] Specifically, the time interval between adjacent monitoring time nodes can be set according to historical parameters. In this application, the preferred time interval between adjacent monitoring time nodes is one hour.

[0108] Specifically, setting up the operating condition model includes:

[0109] Multiple standard sub-conditions are generated based on historical operating data;

[0110] Establish a standard sub-operating condition sequence A, A = (a1, a2, ..., a3) i …a n ), where a i This represents the i-th standard sub-condition; n is the number of standard sub-conditions.

[0111] Based on the standard sub-working condition sequence A, a is set sequentially. i For the target sub-condition;

[0112] Generate the expected control strategy for the target sub-condition;

[0113] Set the expected control strategies for each standard sub-condition in sequence;

[0114] Generate a control strategy library based on all anticipated control strategies;

[0115] A correlation evaluation model is constructed based on all standard sub-working conditions. The correlation evaluation model includes a correlation sub-model and an evaluation sub-model.

[0116] The operating condition model is set based on the control strategy library and the associated evaluation model.

[0117] Specifically, by quantifying various operating condition indicators, the reference values ​​of each indicator are made to fall within the same range. Furthermore, by analyzing historical operating data, multiple typical operating conditions are selected (i.e., if the total runtime of the current operating condition exceeds a preset runtime threshold in the historical operating data of the coal-fired unit, then that operating condition is designated as a typical operating condition). The runtime threshold can be set based on historical parameters.

[0118] Specifically, a standard sub-working condition sequence is established based on all typical working conditions, where each standard sub-working condition represents a typical working condition.

[0119] Specifically, standard reference values ​​for each working condition index are generated based on the typical working condition state corresponding to the current standard sub-working condition (i.e., reference values ​​corresponding to the actual parameters of each working condition index in the current typical working condition state).

[0120] Specifically, by filtering historical operating data, associated operating data corresponding to the target sub-condition is generated, thereby generating the corresponding expected control strategy. The expected control strategy includes the expected operating parameters of each part of the coal-fired unit (e.g., pulverizer current, feeder speed, fan damper opening, valve opening, etc.).

[0121] It is understood that in the above embodiments, by setting multiple sensing points to monitor the operating status of the coal-fired unit in real time, and judging the operating condition category corresponding to the current operating status based on the constructed operating condition model, the operating parameters of the coal-fired unit are adjusted in a timely manner to improve the operating efficiency and safety of the coal-fired unit.

[0122] In a preferred embodiment of this application, a primary control strategy for the coal-fired power unit is set, including:

[0123] Acquire the monitoring data packets of each sensing point at the current monitoring time node;

[0124] Generate a characteristic package of the coal-fired unit's operating condition at the current monitoring time point based on all monitoring data packets;

[0125] The model generates a package of working condition features and matching values ​​for each standard sub-working condition based on the correlation evaluation model.

[0126] Set the maximum value among all matched values ​​as the first matched value w;

[0127] Preset matching threshold W1;

[0128] If w > W1, set the expected control strategy corresponding to the first matching value w as the first-level control strategy;

[0129] If w < W1, generate a first-level evaluation instruction and set a first-level control strategy according to the first-level evaluation instruction;

[0130] Establish a feedback timeline based on the primary control strategy;

[0131] The system determines whether to generate a correction instruction for the primary control strategy based on the feedback timeline.

[0132] Specifically, the matching value threshold can be set based on historical parameters. If the first matching value is less than the preset matching value threshold, it means that the operating condition of the coal-fired unit at the current monitoring time point does not meet any standard sub-operating condition and needs to be adjusted in advance, so as to achieve precise control of the coal-fired unit.

[0133] Specifically, if the first matching value is greater than the preset matching value threshold, it means that the operating condition of the coal-fired unit at the current monitoring time node is the standard sub-condition corresponding to the first matching value. The coal-fired unit can be precisely controlled according to the expected control strategy corresponding to the standard sub-condition to improve the overall operating efficiency and safety of the coal-fired unit.

[0134] Specifically, the evaluation sub-model generates a working condition feature package by filtering and analyzing the monitoring data packets of each sensing point. The working condition feature package includes the real-time reference values ​​of each working condition indicator at the current monitoring time node.

[0135] Specifically, the evaluation sub-model generates a corresponding matching value by calculating the sum of the differences between each working condition index in the working condition feature package and the reference values ​​of each working condition index in the current standard sub-working condition. The larger the sum of the differences, the smaller the corresponding matching value. The mapping relationship between the two can be set according to historical parameters.

[0136] Specifically, a feedback time axis is constructed based on the set primary control strategy. The feedback time axis includes multiple feedback time nodes. By collecting the deviation between the actual response and the expected response of key controlled parameters (such as main steam pressure, furnace negative pressure, and flue gas oxygen content) in the coal-fired unit at each feedback time node, when the deviation exceeds the preset deviation threshold, the current primary control strategy needs to be corrected. At the same time, the complete execution process of the current primary control strategy is recorded to provide data support for subsequent optimization of various expected control strategies in the control strategy library.

[0137] Specifically, Level 1 assessment instructions include:

[0138] Transitional operating conditions are constructed based on the operating condition characteristic package of coal-fired power units;

[0139] Based on the standard sub-working condition sequence A, a is set sequentially. i For the conditions to be associated;

[0140] Compensation sub-strategies for transitional and expected sub-conditions are generated based on the associated sub-model;

[0141] Compensation sub-strategies for transitional working conditions and each standard sub-working condition are generated sequentially;

[0142] Establish a sequence of compensation sub-policies, B, where B = (b1, b2, ..., bb3). i …b n ), where b i Let n be the i-th compensation sub-strategy; n is the number of compensation sub-strategies.

[0143] The operational evaluation values ​​of each compensation sub-strategy are generated based on the correlation sub-model;

[0144] The compensation sub-strategy corresponding to the maximum value among all operational evaluation values ​​is set as the first-level compensation strategy;

[0145] The standard sub-condition corresponding to the first-level compensation strategy is set as the desired sub-condition;

[0146] The first-level control strategy is generated based on the expected control strategy and the first-level compensation strategy for the expected sub-operating conditions.

[0147] Specifically, the correlation sub-model generates control parameters by analyzing the differences between the transitional operating condition and the operating condition to be correlated (i.e., the adjustment amount of each operating parameter when the operating condition of the coal-fired unit is close to the operating condition to be correlated), and generates corresponding compensation sub-strategies based on the control parameters.

[0148] Specifically, the higher the operational evaluation value of the compensation sub-strategy, the better the adjustment effect of the compensation sub-strategy on the current operating conditions of the coal-fired unit.

[0149] Specifically, when generating a first-level evaluation instruction, the corresponding first-level control strategy first executes a first-level compensation strategy to bring the real-time operating condition close to the desired sub-operating condition, and then uses the expected control strategy of the desired sub-operating condition to achieve efficient control of the coal-fired unit.

[0150] Specifically, the evaluation values ​​for each compensation sub-strategy are generated, including:

[0151] b is set sequentially according to the compensation sub-strategy sequence B. i For target compensation strategies;

[0152] Generate the operational evaluation value c of the target compensation strategy;

[0153]

[0154] Where e is the compensation coefficient set based on the matching value between the standard sub-condition and the transition condition corresponding to the target compensation sub-strategy; θ1 is the number of control evaluation indicators; β i s is the influencing factor of the i-th regulation evaluation index; i It is a reference value for generating the i-th regulation evaluation index based on the target compensation strategy.

[0155] Specifically, the larger the matching value, the larger the corresponding compensation coefficient e. The mapping relationship between the two can be set according to historical parameters.

[0156] Specifically, the control evaluation indicators include, but are not limited to, the deviation of each operating parameter in the expected control strategy of the target compensation strategy and the standard sub-operating condition corresponding to the target compensation strategy (the smaller the deviation, the higher the control correlation, and the larger the corresponding reference value), the compensation amount of each operating parameter in the target compensation strategy (the smaller the compensation amount, the smaller the overall control cost, and the larger the corresponding reference value), and the improvement in the operating efficiency of coal-fired units (the larger the improvement amount, the higher the control benefit, and the larger the corresponding reference value), etc., which are parameters that affect the control effect. By quantifying each control evaluation indicator, the reference values ​​of each control evaluation indicator are made to be within the same range.

[0157] Specifically, the influence factors of each regulation evaluation indicator can be set according to their degree of mapping to the regulation effect. The greater the degree of mapping, the larger the value of the corresponding influence factor.

[0158] In a preferred embodiment of this application, the update strategy for the operating condition model is set according to the operating record package, including:

[0159] Based on the operation record package, establish a transitional operating condition sequence W, where W = (w1, w2, ..., w3) i …w m ), where w i This represents the i-th transition condition; m is the number of transition conditions.

[0160] Based on the transition condition series W, set w sequentially. i For the target transitional operating condition;

[0161] Generate an updated evaluation value f for the target transition condition;

[0162] Preset update evaluation value threshold F1;

[0163] If f > F1, the target transition condition is set as the first-level condition;

[0164] Determine in turn whether each transition condition is a Level 1 condition.

[0165] Generate aggregate instructions for all first-level operating conditions;

[0166] Multiple operating condition subsets are generated based on the aggregation results, and a first-level update strategy is generated based on all operating condition subsets.

[0167] Specifically, the update evaluation value threshold can be set based on historical parameters. A higher update evaluation value indicates a higher proportion of the current transitional operating condition in the overall operation of the coal-fired unit. When the update evaluation value exceeds the preset update evaluation value threshold, it indicates that the current transitional operating condition can be set as a standard sub-operating condition. This improves the matching and control efficiency of the operating condition model for different operating conditions.

[0168] Specifically, the operation record package contains all operation record data of the coal-fired unit between the current time node and the previous update time node (i.e. the time node when the previous update strategy was generated) (the operating status of each monitoring time node, the set control strategy, and the response parameters of the coal-fired unit to the control strategy).

[0169] Specifically, the transitional operating conditions generated at each monitoring time point in the operation record package are extracted (if the operating condition state corresponding to the current monitoring time point is a standard sub-operating condition, then there is no transitional operating condition), thereby generating a series of transitional operating conditions.

[0170] Specifically, among all the first-level working conditions, the target first-level working condition is selected sequentially. If the similarity value between the target first-level working condition and the current first-level working condition is greater than the similarity value threshold, the target first-level working condition and the current first-level working condition are aggregated. The same judgment is made sequentially to generate a working condition subset corresponding to the target first-level working condition (the similarity value between each first-level working condition in this working condition subset and the target first-level working condition is greater than the preset similarity value threshold). After removing all first-level working conditions in this working condition subset, the above operation is repeated until the aggregation of all first-level working conditions is completed.

[0171] Specifically, the current operating condition subset is obtained, and standard reference values ​​(i.e., the average of the reference values ​​of all operating condition indicators corresponding to all primary operating conditions within it) are generated for each operating condition indicator in the current operating condition subset. A new standard sub-operating condition is then constructed based on all standard reference values. The corresponding expected control strategy is generated by optimizing the relevant control strategies for this standard sub-operating condition in the operation record package. This process is repeated for each operating condition subset, constructing both the standard sub-operating conditions and the expected control strategies. A primary update strategy is then generated based on these newly added standard sub-operating conditions. The newly added standard sub-operating conditions are then added to the operating condition model using the primary update strategy.

[0172] Specifically, the updated evaluation value f for the target transition condition includes:

[0173]

[0174] Where m is the number of transitional operating conditions; k i Let K1 be the similarity value between the i-th transition condition and the target transition condition; K1 is the preset similarity threshold; r is the update compensation coefficient; U1 is the preset first conversion coefficient; Y(i) is the selection coefficient; if (k i -K1)>0, Y(i)=1; if (k i -K1)<0, Y(i)=0.

[0175] Specifically, by presetting a first conversion coefficient, the update compensation coefficient r is made to be within a preset value range, and The larger the value of , the larger the value of the update compensation coefficient r. The mapping relationship between the two can be set according to historical parameters, and the value of the update compensation coefficient r is always greater than 1.

[0176] Specifically, a similarity value is generated by calculating the sum of the differences between the reference values ​​of each working condition index in the target transition working condition and the reference values ​​of each working condition index in the current transition working condition. The smaller the sum of the differences, the larger the corresponding similarity value. The mapping relationship between the two can be set according to historical parameters.

[0177] Specifically, the similarity threshold can be set based on historical parameters. If the similarity value of two transitional operating conditions is greater than the preset similarity threshold, it means that the same control strategy can be used to regulate the coal-fired unit in the current two transitional operating conditions.

[0178] It is understood that in the above embodiments, by constructing an association evaluation model, the non-standard operating conditions of the coal-fired unit are associated with and optimized with each standard sub-operating condition, thereby improving the control efficiency of the coal-fired unit under complex operating conditions. At the same time, by periodically optimizing the operating condition model, the matching efficiency of the coal-fired unit for different operating conditions is improved, ensuring the safety and economy of the unit operation.

[0179] In another preferred embodiment of the adaptive adjustment-based coal-fired power control method based on any of the above preferred embodiments, this preferred embodiment provides an adaptive adjustment-based coal-fired power control system, comprising:

[0180] The central control unit is used to set up an operating condition model and multiple sensing points based on the historical operating data of the coal-fired power unit;

[0181] The acquisition unit includes multiple acquisition sub-modules, which are set at each sensing point; the acquisition unit is used to generate monitoring data packets for each sensing point.

[0182] The central control unit includes:

[0183] The first processing module is used to acquire monitoring data packets of each sensing point according to the preset monitoring time nodes, and to set the primary control strategy of the coal-fired unit according to all monitoring data packets and the operating condition model.

[0184] The second processing module is used to generate the operation record package of the coal-fired unit and set the update strategy of the operation condition model based on the operation record package.

[0185] In a preferred embodiment of this application, the central control unit further includes:

[0186] The third processing module is used to generate various standard sub-conditions based on historical operating data;

[0187] Establish a standard sub-operating condition sequence A, A = (a1, a2, ..., a3) i …a n ), where a i This represents the i-th standard sub-condition; n is the number of standard sub-conditions.

[0188] Based on the standard sub-working condition sequence A, a is set sequentially. i For the target sub-condition;

[0189] Generate the expected control strategy for the target sub-condition;

[0190] Set the expected control strategies for each standard sub-condition in sequence;

[0191] Generate a control strategy library based on all anticipated control strategies;

[0192] A correlation evaluation model is constructed based on all standard sub-working conditions. The correlation evaluation model includes a correlation sub-model and an evaluation sub-model.

[0193] The operating condition model is set based on the control strategy library and the associated evaluation model.

[0194] In a preferred embodiment of this application, the first processing module is further configured to:

[0195] Acquire the monitoring data packets of each sensing point at the current monitoring time node;

[0196] Generate a characteristic package of the coal-fired unit's operating condition at the current monitoring time point based on all monitoring data packets;

[0197] The model generates a package of working condition features and matching values ​​for each standard sub-working condition based on the correlation evaluation model.

[0198] Set the maximum value among all matched values ​​as the first matched value w;

[0199] Preset matching threshold W1;

[0200] If w > W1, set the expected control strategy corresponding to the first matching value w as the first-level control strategy;

[0201] If w < W1, generate a first-level evaluation instruction and set a first-level control strategy according to the first-level evaluation instruction;

[0202] Establish a feedback timeline based on the primary control strategy;

[0203] Determine whether to generate a correction instruction for the primary control strategy based on the feedback timeline;

[0204] The Level 1 assessment instructions include:

[0205] Transitional operating conditions are constructed based on the operating condition characteristic package of coal-fired power units;

[0206] Based on the standard sub-working condition sequence A, a is set sequentially. i For the conditions to be associated;

[0207] Compensation sub-strategies for transitional and expected sub-conditions are generated based on the associated sub-model;

[0208] Compensation sub-strategies for transitional working conditions and each standard sub-working condition are generated sequentially;

[0209] Establish a sequence of compensation sub-policies, B, where B = (b1, b2, ..., bb3). i …b n ), where b i Let n be the i-th compensation sub-strategy; n is the number of compensation sub-strategies.

[0210] The operational evaluation values ​​of each compensation sub-strategy are generated based on the correlation sub-model;

[0211] The compensation sub-strategy corresponding to the maximum value among all operational evaluation values ​​is set as the first-level compensation strategy;

[0212] The standard sub-condition corresponding to the first-level compensation strategy is set as the desired sub-condition;

[0213] The first-level control strategy is generated based on the expected control strategy and the first-level compensation strategy for the expected sub-operating conditions.

[0214] According to the first concept of this application, the operating status of a coal-fired power unit is monitored in real time by setting up multiple sensing points, and the operating condition category corresponding to the current operating status is determined according to the constructed operating condition model. The operating parameters of the coal-fired power unit are adjusted in a timely manner to improve the operating efficiency and safety of the coal-fired power unit.

[0215] According to the second concept of this application, by constructing an association evaluation model, the non-standard operating conditions of coal-fired power units are correlated and optimized with each standard sub-operating condition, thereby improving the control efficiency of complex operating conditions of coal-fired power units. At the same time, by periodically optimizing the operating condition model, the matching efficiency of coal-fired power units for different operating conditions is improved, ensuring the safety and economy of unit operation.

[0216] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.

Claims

1. A coal-fired power plant control method based on adaptive adjustment, characterized in that, include: Based on historical operating data of coal-fired power units, an operating condition model and multiple sensing points are set up; The monitoring data packets of each sensing point are obtained according to the preset monitoring time nodes, and the primary control strategy of the coal-fired unit is set according to all monitoring data packets and the operating condition model. Generate an operation record package for the coal-fired unit, and set an update strategy for the operating condition model based on the operation record package.

2. The coal-fired power plant control method based on adaptive adjustment as described in claim 1, characterized in that, The defined operating condition model includes: Multiple standard sub-conditions are generated based on historical operating data; Establish a standard sub-operating condition sequence A, A = (a1, a2, ..., a3) i …a n ), where a i This represents the i-th standard sub-condition; n is the number of standard sub-conditions. Based on the standard sub-working condition sequence A, a is set sequentially. i For the target sub-condition; Generate the expected control strategy for the target sub-condition; Set the expected control strategies for each standard sub-condition in sequence; Generate a control strategy library based on all anticipated control strategies; A correlation evaluation model is constructed based on all standard sub-working conditions. The correlation evaluation model includes a correlation sub-model and an evaluation sub-model. The operating condition model is set based on the control strategy library and the associated evaluation model.

3. The coal-fired power plant control method based on adaptive adjustment as described in claim 2, characterized in that, Establish the primary control strategy for coal-fired power units, including: Acquire the monitoring data packets of each sensing point at the current monitoring time node; Generate a characteristic package of the coal-fired unit's operating condition at the current monitoring time point based on all monitoring data packets; The model generates a package of working condition features and matching values ​​for each standard sub-working condition based on the correlation evaluation model. Set the maximum value among all matched values ​​as the first matched value w; Preset matching threshold W1; If w > W1, set the expected control strategy corresponding to the first matching value w as the first-level control strategy; If w < W1, generate a first-level evaluation instruction and set a first-level control strategy according to the first-level evaluation instruction; Establish a feedback timeline based on the primary control strategy; The system determines whether to generate a correction instruction for the primary control strategy based on the feedback timeline.

4. The coal-fired power plant control method based on adaptive adjustment as described in claim 3, characterized in that, Level 1 assessment instructions include: Transitional operating conditions are constructed based on the operating condition characteristic package of coal-fired power units; Based on the standard sub-working condition sequence A, a is set sequentially. i For the conditions to be associated; Compensation sub-strategies for transitional and expected sub-conditions are generated based on the associated sub-model; Compensation sub-strategies for transitional working conditions and each standard sub-working condition are generated sequentially; Establish a sequence of compensation sub-policies, B, where B = (b1, b2, ..., bb3). i …b n ), where b i Let n be the i-th compensation sub-strategy; n is the number of compensation sub-strategies. The operational evaluation values ​​of each compensation sub-strategy are generated based on the correlation sub-model; The compensation sub-strategy corresponding to the maximum value among all operational evaluation values ​​is set as the first-level compensation strategy; The standard sub-condition corresponding to the first-level compensation strategy is set as the desired sub-condition; The first-level control strategy is generated based on the expected control strategy and the first-level compensation strategy for the expected sub-operating conditions.

5. The coal-fired power plant control method based on adaptive adjustment as described in claim 4, characterized in that, Generate the performance evaluation values ​​for each compensation sub-strategy, including: b is set sequentially according to the compensation sub-strategy sequence B. i For target compensation strategies; Generate the operational evaluation value c of the target compensation strategy; Where e is the compensation coefficient set based on the matching value between the standard sub-condition and the transition condition corresponding to the target compensation sub-strategy; θ1 is the number of control evaluation indicators; β i s is the influencing factor of the i-th regulation evaluation index; i It is a reference value for generating the i-th regulation evaluation index based on the target compensation strategy.

6. The coal-fired power plant control method based on adaptive adjustment as described in claim 5, characterized in that, The update strategy for the operating condition model is set according to the operating record package, including: Based on the operation record package, establish a transitional operating condition sequence W, where W = (w1, w2, ..., w3) i …w m ), where w i This represents the i-th transition condition; m is the number of transition conditions. Based on the transition condition series W, set w sequentially. i For the target transitional operating condition; Generate an updated evaluation value f for the target transition condition; Preset update evaluation value threshold F1; If f > F1, the target transition condition is set as the first-level condition; Determine in turn whether each transition condition is a Level 1 condition. Generate aggregate instructions for all first-level operating conditions; Multiple operating condition subsets are generated based on the aggregation results, and a first-level update strategy is generated based on all operating condition subsets.

7. The coal-fired power plant control method based on adaptive adjustment as described in claim 6, characterized in that, Generate an updated evaluation value f for the target transition condition, including: Where m is the number of transitional operating conditions; k i Let K1 be the similarity value between the i-th transition condition and the target transition condition; K1 is the preset similarity threshold; r is the update compensation coefficient; U1 is the preset first conversion coefficient; Y(i) is the selection coefficient; if (k i -K1)>0, Y(i)=1; if (k i -K1)<0, Y(i)=0.

8. A coal-fired power plant control system based on adaptive adjustment, employing the coal-fired power plant control method based on adaptive adjustment as described in any one of claims 1-7, characterized in that, include: The central control unit is used to set up an operating condition model and multiple sensing points based on the historical operating data of the coal-fired power unit; The acquisition unit includes multiple acquisition sub-modules, which are located at various sensing points; The acquisition unit is used to generate monitoring data packets for each sensing point; The central control unit includes: The first processing module is used to acquire monitoring data packets of each sensing point according to the preset monitoring time nodes, and to set the primary control strategy of the coal-fired unit according to all monitoring data packets and the operating condition model. The second processing module is used to generate the operation record package of the coal-fired unit and set the update strategy of the operation condition model based on the operation record package.

9. The coal-fired power plant control system based on adaptive adjustment as described in claim 8, characterized in that, The central control unit also includes: The third processing module is used to generate various standard sub-conditions based on historical operating data; Establish a standard sub-operating condition sequence A, A = (a1, a2, ..., a3) i …a n ), where a i This represents the i-th standard sub-condition; n is the number of standard sub-conditions. Based on the standard sub-working condition sequence A, a is set sequentially. i For the target sub-condition; Generate the expected control strategy for the target sub-condition; Set the expected control strategies for each standard sub-condition in sequence; Generate a control strategy library based on all anticipated control strategies; A correlation evaluation model is constructed based on all standard sub-working conditions. The correlation evaluation model includes a correlation sub-model and an evaluation sub-model. The operating condition model is set based on the control strategy library and the associated evaluation model.

10. The coal-fired power plant control system based on adaptive adjustment as described in claim 9, characterized in that, The first processing module is also used for: Acquire the monitoring data packets of each sensing point at the current monitoring time node; Generate a characteristic package of the coal-fired unit's operating condition at the current monitoring time point based on all monitoring data packets; The model generates a package of working condition features and matching values ​​for each standard sub-working condition based on the correlation evaluation model. Set the maximum value among all matched values ​​as the first matched value w; Preset matching threshold W1; If w > W1, set the expected control strategy corresponding to the first matching value w as the first-level control strategy; If w < W1, generate a first-level evaluation instruction and set a first-level control strategy according to the first-level evaluation instruction; Establish a feedback timeline based on the primary control strategy; Determine whether to generate a correction instruction for the primary control strategy based on the feedback timeline; The Level 1 assessment instructions include: Transitional operating conditions are constructed based on the operating condition characteristic package of coal-fired power units; Based on the standard sub-working condition sequence A, a is set sequentially. i For the conditions to be associated; Compensation sub-strategies for transitional and expected sub-conditions are generated based on the associated sub-model; Compensation sub-strategies for transitional working conditions and each standard sub-working condition are generated sequentially; Establish a sequence of compensation sub-policies, B, where B = (b1, b2, ..., bb3). i …b n ), where b i Let n be the i-th compensation sub-strategy; n is the number of compensation sub-strategies. The operational evaluation values ​​of each compensation sub-strategy are generated based on the correlation sub-model; The compensation sub-strategy corresponding to the maximum value among all operational evaluation values ​​is set as the first-level compensation strategy; The standard sub-condition corresponding to the first-level compensation strategy is set as the desired sub-condition; The first-level control strategy is generated based on the expected control strategy and the first-level compensation strategy for the expected sub-operating conditions.

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