A method and system for comprehensive evaluation of energy-saving potential of coal-fired power generation

Abstract

The present application relates to the technical field of coal-fired power generating unit energy efficiency evaluation, and particularly relates to a coal-fired power generating energy-saving potential comprehensive evaluation method and system, which comprises collecting operation parameter values and performing discrete coding processing to generate independent operation condition labels; constructing a device connection topology graph and generating a device coupling mapping table according to medium transmission correlation; inputting the independent operation condition labels into the device coupling mapping table for retrieval combination to generate a global condition state matrix; comparing the global condition state matrix with a standard benchmark sample to mark condition difference nodes; retrieving matching initial device adjustment action instructions, substituting into the device coupling mapping table to perform deduction, screening cooperative instructions and generating a comprehensive evaluation conclusion. The present application effectively solves the pain point of global energy efficiency evaluation distortion.

Description

Technical Field

[0001] This invention relates to the field of energy efficiency assessment technology for coal-fired power generating units, and in particular to a comprehensive assessment method and system for the energy-saving potential of coal-fired power generation. Background Technology

[0002] Coal-fired power generating units include core equipment such as boilers, turbines, and generators, which are interconnected through complex material and energy flows. In the application scenario of intelligent upgrading and real-time energy efficiency management technology for coal-fired power generating units, the system typically first collects the real-time operating parameters of each device, and then uses an evaluation model to perform static calculations on the energy consumption level of individual devices. After completing the static calculations, the system sums up the energy consumption data of each device to obtain the comprehensive energy consumption index of the entire power generating unit. By comparing historical operating data, technicians can make a preliminary judgment on whether the unit has energy-saving potential.

[0003] Analyzing the operating status of isolated equipment independently is a common practice in existing conventional assessment methods. However, changes in the operating conditions of a single piece of equipment inevitably trigger cascading changes in downstream related equipment. Currently, there is an urgent need to address the technical pain point of distorted global energy efficiency assessments and inefficient energy-saving retrofit schemes due to insufficient dynamic coupling analysis of the operating parameters of various equipment. Taking the combustion optimization adjustment of a power generation boiler as an example, the boiler's thermal efficiency improves after adjustment, but the boiler's flue gas temperature fluctuates. Fluctuations in flue gas temperature directly affect the operating status of the tail-end flue heat exchange system, ultimately leading to changes in the amount of regenerative steam extracted from the turbine's thermal system. If the improvement in boiler thermal efficiency is calculated in isolation, completely ignoring the dynamic changes in the turbine's heat rate, the obtained global energy efficiency result will deviate significantly from the actual operating conditions. Formulating a plant-wide optimization plan based solely on local assessment results often results in the generator units failing to achieve overall energy-saving targets, and one-sided modifications may even cause instability in unit operating parameters and increase overall fuel consumption. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a comprehensive evaluation method and system for the energy-saving potential of coal-fired power generation. This invention solves the technical problem of distorted global energy efficiency evaluation and inefficient energy-saving renovation schemes caused by insufficient dynamic coupling analysis of the operating parameters of various equipment.

[0005] To solve the above-mentioned technical problems, the specific contents of the present invention are as follows:

[0006] In a first aspect, the present invention provides a comprehensive evaluation method for the energy-saving potential of coal-fired power generation, comprising:

[0007] Collect real-time operating parameter values ​​of the boiler and steam turbine in the coal-fired power generation unit; perform discretization encoding processing on the real-time operating parameter values ​​to generate independent operating condition labels for the corresponding equipment;

[0008] Extract the medium transfer relationship between the boiler and the steam turbine to construct an equipment connection topology diagram, and generate an equipment coupling mapping table based on the equipment connection topology diagram; input the independent operating condition labels into the equipment coupling mapping table for retrieval and combination to generate a global operating condition state matrix;

[0009] Obtain the state matrix corresponding to the optimal operating condition in the unit's historical operating records and set it as a standard reference sample; compare the global operating condition state matrix with the standard reference sample, locate the parts where there are data differences and mark them as operating condition difference nodes;

[0010] The initial equipment adjustment action command is retrieved and matched based on the operating condition difference node; the initial equipment adjustment action command is substituted into the equipment coupling mapping table to perform deduction, and the cooperative command that is close to the standard benchmark sample is selected; the retained cooperative command is summarized to generate a comprehensive evaluation conclusion and sent to the output terminal.

[0011] Furthermore, in the comprehensive assessment method for energy-saving potential of coal-fired power generation described in this invention, the step of discretizing and encoding the real-time operating parameter values ​​to generate independent operating condition labels for corresponding equipment includes:

[0012] According to the safety boundary threshold set in the generator set equipment design specifications, the continuously changing real-time operating parameter values ​​are divided into multiple discrete state intervals, and discrete codes are assigned to the multiple discrete state intervals. The obtained real-time operating parameter values ​​are compared with the multiple discrete state intervals with assigned discrete codes, and the corresponding discrete codes are extracted and defined as the independent operating condition labels.

[0013] The step of substituting the initial equipment adjustment action command into the equipment coupling mapping table to perform deduction and filter out the cooperative commands that approach the standard reference sample includes: substituting the initial equipment adjustment action command into the equipment coupling mapping table to perform state transmission path deduction and prediction, clearing conflicting commands that cause downstream equipment operating condition nodes to deviate from the standard reference sample due to the deduction and prediction results, and retaining the cooperative commands that cause downstream equipment operating condition nodes to approach the standard reference sample due to the deduction and prediction results.

[0014] Furthermore, the comprehensive assessment method for energy-saving potential of coal-fired power generation described in this invention collects real-time operating parameter values ​​of the boiler and turbine within the coal-fired power generation unit, including:

[0015] Receive real-time reports from associated equipment of the generator set, including boiler main steam pressure, turbine exhaust temperature, and feedwater flow rate.

[0016] Furthermore, the comprehensive evaluation method for the energy-saving potential of coal-fired power generation described in this invention divides the continuously changing real-time operating parameter values ​​into multiple discrete state intervals based on the safety boundary thresholds set in the generator set equipment design specifications, including:

[0017] The boiler main steam pressure, the turbine exhaust temperature, and the feedwater flow rate are each independently divided into a high-state range, a normal state range, and a low-state range.

[0018] Furthermore, the comprehensive assessment method for energy-saving potential of coal-fired power generation described in this invention extracts the medium transfer relationship between the boiler and the turbine to construct an equipment connection topology diagram, and generates an equipment coupling mapping table based on the equipment connection topology diagram, including:

[0019] The interconnection relationship of the steam pipelines and the connection relationship of the water pipelines between the boiler and the steam turbine are identified as the medium transmission relationship.

[0020] Based on the interconnection relationship of the steam pipelines and the connection relationship of the water pipelines, construct the equipment connection topology diagram at the unit level;

[0021] Based on the equipment connection topology diagram at the unit level, the equipment coupling mapping table is established, and the cascading transmission relationship of the fluctuation of the status nodes of downstream related equipment caused by the change of the status node of the upstream individual equipment is recorded in the equipment coupling mapping table.

[0022] Furthermore, the comprehensive assessment method for energy-saving potential of coal-fired power generation described in this invention inputs the independent operating condition labels into the equipment coupling mapping table for retrieval and combination, generating a global operating condition state matrix, including:

[0023] A correlation search is performed in the device coupling mapping table to extract the combined features of upstream and downstream linkage conditions with cascade transmission relationships;

[0024] Extract the location distribution data of the upstream and downstream linkage working condition combination features within the generator set equipment space;

[0025] The upstream and downstream linkage working condition combination features are sequentially arranged according to the location distribution data.

[0026] Based on the sequential arrangement results, a combination generation instruction is executed to integrate the global operating condition state matrix that characterizes the actual operating state of the generator set.

[0027] Furthermore, the comprehensive evaluation method for energy-saving potential of coal-fired power generation described in this invention obtains the state matrix corresponding to the optimal operating condition in the unit's historical operating records and sets it as a standard benchmark sample, including:

[0028] Extract multiple optimal operating conditions under different generator set load conditions;

[0029] Obtain the state matrices corresponding to the multiple optimal operating conditions respectively, and define the multiple sets of the obtained state matrices as multiple standard benchmark samples;

[0030] A static global energy efficiency benchmark library is established using multiple standard benchmark samples.

[0031] Furthermore, the comprehensive assessment method for energy-saving potential of coal-fired power generation described in this invention compares the global operating condition state matrix with the standard benchmark sample, locates the parts where data differences exist, and marks them as operating condition difference nodes, including:

[0032] Import the generated global operating condition state matrix into the static global energy efficiency benchmark map library; perform a node-by-node scan comparison between the global operating condition state matrix and the standard benchmark sample;

[0033] Extract the corresponding equipment parts whose data contains a preset numerical deviation from the scanning comparison results, and directly mark the extracted equipment parts as the working condition difference nodes.

[0034] Furthermore, the comprehensive assessment method for energy-saving potential of coal-fired power generation described in this invention substitutes the initial equipment adjustment action command into the equipment coupling mapping table to perform state transmission path deduction and prediction, including:

[0035] Input the initial device adjustment action command and the initial controlled device node associated with the initial device adjustment action command into the device coupling mapping table;

[0036] Based on the cascade transmission relationship recorded in the device coupling mapping table, the fluctuation state of the downstream device operating node caused by the change of the initial controlled device node state is deduced according to the time sequence.

[0037] Based on the derived fluctuation state of the downstream equipment operating nodes, extract the state evolution characteristics of the downstream equipment operating nodes after the action is triggered.

[0038] Remove conflicting instructions that cause downstream equipment operating nodes to deviate from the standard reference sample due to the inference and prediction results, and retain the cooperative instructions that promote downstream equipment operating nodes to approach the standard reference sample, including:

[0039] Compare the derived fluctuation status of the downstream equipment operating conditions with the node data of the standard benchmark sample;

[0040] If the comparison results show deviation characteristics, the corresponding initial equipment adjustment action command is determined to be a conflict command that causes the working condition to deteriorate and is cleared.

[0041] If the comparison results show convergence characteristics, the corresponding initial equipment adjustment action command is determined to be the cooperative command that promotes the positive evolution of the operating condition and is retained.

[0042] Secondly, the present invention provides a comprehensive assessment system for the energy-saving potential of coal-fired power generation, applied to the aforementioned comprehensive assessment method for the energy-saving potential of coal-fired power generation, comprising:

[0043] The data acquisition module is used to collect real-time operating parameter values ​​of the boiler and steam turbine in the coal-fired power generation unit;

[0044] The tag generation module is used to discretize and encode the real-time operating parameter values ​​to generate independent operating condition tags for the corresponding devices.

[0045] The mapping generation module is used to extract the medium transmission relationship between the boiler and the steam turbine to construct the equipment connection topology diagram, and generate an equipment coupling mapping table based on the equipment connection topology diagram;

[0046] The matrix generation module is used to input the independent operating condition labels into the device coupling mapping table for retrieval and combination, and generate a global operating condition status matrix.

[0047] The difference comparison module is used to obtain the state matrix corresponding to the optimal operating condition in the unit's historical operating records and set it as a standard benchmark sample. The global operating condition state matrix is ​​compared with the standard benchmark sample to locate the parts where there are data differences and mark them as operating condition difference nodes.

[0048] The deduction and screening module is used to retrieve and match the initial equipment adjustment action command based on the working condition difference node, substitute the initial equipment adjustment action command into the equipment coupling mapping table to perform deduction, and screen out the cooperative command that is close to the standard benchmark sample.

[0049] The conclusion sending module is used to summarize the retained collaborative instructions, generate a comprehensive evaluation conclusion, and send it to the output terminal.

[0050] Beneficial effects of this invention:

[0051] This invention constructs a device connection topology diagram by extracting the medium transfer relationship between the boiler and the turbine, and generates a device coupling mapping table based on the topology diagram. By using the device coupling mapping table for retrieval and combination, a global operating condition state matrix is ​​generated. This effectively overcomes the shortcomings of existing conventional methods that analyze isolated devices independently, and achieves precise quantification of the dynamic coupling relationship of operating parameters of equipment within the generator set.

[0052] This invention performs node scanning and comparison between the extracted global operating condition state matrix and a standard benchmark sample representing the optimal energy consumption state. This accurately identifies equipment locations with data discrepancies and marks them as nodes exhibiting operating condition differences. Based on these nodes, initial equipment adjustment commands are matched, breaking down the evaluation barrier caused by the static accumulation of energy consumption in individual local devices and fundamentally solving the technical problem of distorted global energy efficiency assessment.

[0053] This invention substitutes initial equipment adjustment commands into the equipment coupling mapping table to predict the execution state transmission path, proactively eliminating conflicting commands that cause downstream equipment operating nodes to deviate from the standard reference sample, and accurately retaining coordinated commands that promote downstream equipment operating nodes to approach the standard reference sample. The retained coordinated commands are then aggregated and integrated to generate a final comprehensive evaluation conclusion, effectively avoiding the risk of unit operating parameter instability caused by partial modifications, and significantly improving the execution efficiency and overall energy-saving effect of the plant-wide energy-saving renovation plan. Attached Figure Description

[0054] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on the drawings without creative effort.

[0055] Figure 1 This is a flowchart illustrating a comprehensive evaluation method for the energy-saving potential of coal-fired power generation according to the present invention. Detailed Implementation

[0056] To make the technical solution of the present invention clearer, the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] In a first aspect, the present invention provides a comprehensive evaluation method for the energy-saving potential of coal-fired power generation, comprising:

[0058] Step 1: Collect real-time operating parameter values ​​of the boiler and turbine in the coal-fired power generation unit; perform discretization encoding processing on the real-time operating parameter values ​​to generate independent operating condition labels for the corresponding equipment;

[0059] Step 2: Extract the medium transfer relationship between the boiler and the turbine to construct an equipment connection topology diagram, and generate an equipment coupling mapping table based on the equipment connection topology diagram; input the independent operating condition labels into the equipment coupling mapping table for retrieval and combination to generate a global operating condition state matrix;

[0060] Step 3: Obtain the state matrix corresponding to the optimal operating condition in the unit's historical operating records and set it as the standard benchmark sample; compare the global operating condition state matrix with the standard benchmark sample, locate the parts where there are data differences and mark them as operating condition difference nodes;

[0061] Step 4: Retrieve and match initial equipment adjustment action commands based on the operating condition difference nodes; substitute the initial equipment adjustment action commands into the equipment coupling mapping table to perform deduction, and filter out the cooperative commands that are close to the standard benchmark sample; summarize the retained cooperative commands to generate a comprehensive evaluation conclusion and send it to the output terminal.

[0062] The system first receives real-time reports from the generator set's associated equipment, including boiler main steam pressure, turbine exhaust temperature, and feedwater flow rate. During the data acquisition process, relying on field-installed pressure transmitters and temperature sensor arrays, analog signals are synchronously extracted at a millisecond-level sampling frequency. The extracted analog signals are then converted into high-precision floating-point digital sequences via an analog-to-digital converter. The aggregated boiler main steam pressure, turbine exhaust temperature, and feedwater flow rate data together constitute the fundamental data source characterizing the transient operating conditions of the core equipment.

[0063] The system constructs a fixed-step numerical segmentation matrix based on the upper and lower safety operation limits set in the generator set equipment design specifications. It independently maps the continuously changing boiler main steam pressure, turbine exhaust temperature, and feedwater flow rate values ​​to preset threshold segmentation functions. If the boiler main steam pressure exceeds the safety upper limit defined in the design specifications, the corresponding pressure value is determined to fall into the high-risk range; if it is between the safety upper and lower limits, it is classified into the normal range; and if it falls below the safety lower limit, it is classified into the low-risk range. After completing the range segmentation, the system independently assigns binary discrete codes to the high-risk, normal, and low-risk ranges. Subsequently, it performs a numerical range feature comparison between the transient sampled values ​​corresponding to the real-time operating parameters and the multiple discrete ranges assigned discrete codes, ultimately extracting the matching discrete codes and defining the extracted discrete codes as independent operating condition labels.

[0064] The system initially identifies the interconnections of steam pipelines and water pipelines between the boiler and turbine as media transmission relationships. Based on these relationships, a directed acyclic graph (DAG) algorithm is used to construct a unit-level equipment connection topology, defining the directed edges between nodes as representing the working fluid flow direction. An equipment coupling mapping table is then established based on the unit-level topology, recording the cascading transmission relationships where changes in the state nodes of upstream individual equipment cause fluctuations in the state nodes of downstream related equipment. In the specific physical transformation mechanism, the system defines the fluctuation of the feedwater pump outlet pressure as the cause node and the change of the economizer inlet pressure as the result node. A mathematical mapping function reflecting the pressure transmission delay time and attenuation coefficient is then established between the cause and result nodes, and this function is persistently stored in the equipment coupling mapping table as a cascading transmission relationship.

[0065] The system performs hash matching and association retrieval in the equipment coupling mapping table, extracting upstream and downstream linkage operating condition combination features with cascading transmission relationships by following the edge paths of the directed graph. Next, it retrieves the unit's 3D design drawings and extracts the location distribution data of the upstream and downstream linkage operating condition combination features within the generator unit's equipment space. Based on the elevation values ​​and horizontal coordinate axis parameters included in the location distribution data, the upstream and downstream linkage operating condition combination features are arranged sequentially from upstream to downstream and from the high-voltage side to the low-voltage side. Based on the sequential arrangement result, a combination generation command is triggered, filling the discrete operating condition combination features into a multidimensional tensor matrix according to fixed row and column mapping rules, integrating them to form a global operating condition state matrix representing the actual operating state of the generator unit.

[0066] The system retrieves historical operating records from the generator set database, extracting multiple optimal operating conditions under different generator load conditions. It then retrieves and parses the state matrices corresponding to the occurrence times of these optimal operating conditions, defining the acquired sets of state matrices as multiple standard benchmark samples. Using these standard benchmark samples, a static global energy efficiency benchmark library is established. Within this library, different clusters are formed based on load commands. Each cluster is anchored to a specific standard benchmark sample, thus creating an ideal reference system for online operating status assessment.

[0067] The system imports the generated global operating condition state matrix into a static global energy efficiency benchmark library, calls the load target values ​​corresponding to the generator set's automatic power generation control commands, and then addresses and matches standard benchmark samples within the global energy efficiency benchmark library for the same load range. Subsequently, it initiates a node-by-node scanning and comparison process between the global operating condition state matrix and the standard benchmark samples, using matrix subtraction to calculate the absolute difference between the elements contained in the corresponding rows and columns. Finally, it extracts the corresponding equipment parts whose node data contains preset numerical deviations from the scanning and comparison results, and directly marks the extracted equipment parts as operating condition difference nodes.

[0068] After identifying nodes with differing operating conditions, the system begins data processing steps for instruction optimization and state evolution prediction. The marked nodes with differing operating conditions are input into a pre-established equipment adjustment action association table for conditional retrieval, extracting matching initial equipment adjustment action instructions to smooth parameter fluctuations. The initial equipment adjustment action instructions and associated initial controlled equipment nodes are input into the equipment coupling mapping table. Based on the cascading transmission relationships recorded in the equipment coupling mapping table and by invoking the difference equation model, the system derives the downstream equipment operating condition node fluctuation states triggered by changes in the initial controlled equipment node state in chronological order. Based on the derived downstream equipment operating condition node fluctuation states, the system extracts the parameter rise and fall trend distribution results of the downstream equipment operating condition nodes within a future time window after the action is triggered, ultimately using the parameter rise and fall trend distribution results as state evolution features.

[0069] The system first compares the derived downstream equipment operating condition node fluctuation states with the node data of the standard benchmark sample, and uses a distance metric algorithm to calculate the spatial Euclidean distance between the state feature sets of the two sides. If the comparison result shows an increase in the Euclidean distance and deviation characteristics, the corresponding initial equipment adjustment action command is determined to be a conflicting command that leads to a deterioration of the operating condition and is cleared, thereby preventing conflicting commands from being issued to the actuator. If the comparison result shows a decrease in the Euclidean distance and convergence characteristics, the corresponding initial equipment adjustment action command is determined to be a cooperative command that promotes a positive evolution of the operating condition and is retained. After completing the determination, the system summarizes the retained cooperative commands, extracts the list of adjusting equipment and control step size to generate a comprehensive evaluation conclusion, and finally sends the comprehensive evaluation conclusion to the output terminal through the industrial Ethernet communication protocol.

[0070] Secondly, the present invention provides a comprehensive assessment system for the energy-saving potential of coal-fired power generation, applied to the aforementioned comprehensive assessment method for the energy-saving potential of coal-fired power generation, comprising:

[0071] The data acquisition module is used to collect real-time operating parameter values ​​of the boiler and steam turbine in the coal-fired power generation unit;

[0072] The tag generation module is used to discretize and encode the real-time operating parameter values ​​to generate independent operating condition tags for the corresponding devices.

[0073] The mapping generation module is used to extract the medium transmission relationship between the boiler and the steam turbine to construct the equipment connection topology diagram, and generate an equipment coupling mapping table based on the equipment connection topology diagram;

[0074] The matrix generation module is used to input the independent operating condition labels into the device coupling mapping table for retrieval and combination, and generate a global operating condition status matrix.

[0075] The difference comparison module is used to obtain the state matrix corresponding to the optimal operating condition in the unit's historical operating records and set it as a standard benchmark sample. The global operating condition state matrix is ​​compared with the standard benchmark sample to locate the parts where there are data differences and mark them as operating condition difference nodes.

[0076] The deduction and screening module is used to retrieve and match the initial equipment adjustment action command based on the working condition difference node, substitute the initial equipment adjustment action command into the equipment coupling mapping table to perform deduction, and screen out the cooperative command that is close to the standard benchmark sample.

[0077] The conclusion sending module is used to summarize the retained collaborative instructions, generate a comprehensive evaluation conclusion, and send it to the output terminal.

[0078] In this embodiment of the invention, in the application scenario of intelligent upgrading and real-time energy efficiency management of coal-fired power generating units, the system receives in real time operating parameter values ​​such as boiler main steam pressure and turbine exhaust temperature values ​​collected by the feedwater pump outlet pressure transmitter and the economizer inlet temperature sensor array. When boiler combustion optimization causes fluctuations in flue gas temperature, the system substitutes the continuously changing flue gas temperature value and feedwater flow rate value into a preset threshold segmentation function, independently dividing the input continuous values ​​into three discrete state intervals. Subsequently, the system performs discretization encoding processing on the discrete state intervals to generate independent operating condition labels for specific operating equipment such as the economizer and feedwater pump.

[0079] To address the technical challenge of inaccurate global energy efficiency assessments due to insufficient dynamic coupling analysis of equipment operating parameters, the system deeply analyzes the steam pipeline connections between the boiler tail flue heat exchange system and the turbine regenerative extraction system. Based on these connections, an equipment connection topology diagram is constructed, and an equipment coupling mapping table is generated. This table internally encapsulates a differential equation model pre-built based on pipeline diameters and lengths. The differential equation model receives upstream flue gas temperature and feedwater flow status labels as input data. Through state propagation path deduction and prediction, it generates cascaded fluctuation predictions characterizing changes in the downstream turbine heat rate at the model's output.

[0080] After obtaining the expected cascading fluctuations, the system inputs the previously generated independent operating condition labels into the device coupling mapping table for retrieval and combination, thereby generating a global operating condition state matrix. After completing the matrix generation operation, the system performs a matrix node scan comparison with the standard reference sample, where the standard reference sample is extracted from the unit's historical operating records under the same load conditions where the overall heat rate is in the optimal state. Through the scan comparison operation, the system locates the operating condition difference node where the heat exchange efficiency of the tail flue heat exchange system has abnormally decreased.

[0081] Based on the identified operational difference nodes, the system retrieves and matches two initial equipment adjustment commands: increasing the induced draft fan operating frequency and adjusting the opening of the regenerative extraction steam valve. These initial commands are then substituted into the equipment coupling mapping table for prediction. If the prediction shows that simply increasing the induced draft fan operating frequency will cause the downstream turbine heat rate node to deviate from the standard baseline sample, the system determines that increasing the induced draft fan operating frequency is a conflict command and removes it. If the prediction shows that synchronously fine-tuning the regenerative extraction steam valve opening can make the downstream turbine efficiency node approach the standard baseline sample, the system determines that fine-tuning the regenerative extraction steam valve opening is a coordinated command and retains it. Finally, the system summarizes the retained coordinated commands to generate a comprehensive evaluation conclusion and directly sends action execution level signals to the induced draft fan frequency converter and extraction steam servo valve on-site. By using these action execution level signals to control the coordinated operation of the actual exhaust and extraction steam equipment, the system avoids the risk of downstream operational instability caused by isolated equipment adjustments while achieving the overall energy-saving target for the entire generator plant.

Claims

1. A comprehensive evaluation method for the energy-saving potential of coal-fired power generation, characterized in that, include: Collect real-time operating parameter values ​​of the boiler and steam turbine in the coal-fired power generation unit; The real-time operating parameter values ​​are discretized and encoded to generate independent operating condition labels for the corresponding devices; Extract the medium transfer relationship between the boiler and the steam turbine to construct an equipment connection topology diagram, and generate an equipment coupling mapping table based on the equipment connection topology diagram; input the independent operating condition labels into the equipment coupling mapping table for retrieval and combination to generate a global operating condition state matrix; Obtain the state matrix corresponding to the optimal operating condition in the unit's historical operating records and set it as a standard reference sample; compare the global operating condition state matrix with the standard reference sample, locate the parts where there are data differences and mark them as operating condition difference nodes; The initial equipment adjustment action command is retrieved and matched based on the operating condition difference node; the initial equipment adjustment action command is substituted into the equipment coupling mapping table to perform deduction, and the cooperative command that is close to the standard benchmark sample is selected; the retained cooperative command is summarized to generate a comprehensive evaluation conclusion and sent to the output terminal.

2. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 1, characterized in that: The step of discretizing and encoding the real-time operating parameter values ​​to generate independent operating condition labels for the corresponding devices includes: According to the safety boundary threshold set in the generator set equipment design specifications, the continuously changing real-time operating parameter values ​​are divided into multiple discrete state intervals, and discrete codes are assigned to the multiple discrete state intervals. The obtained real-time operating parameter values ​​are compared with the multiple discrete state intervals with assigned discrete codes, and the corresponding discrete codes are extracted and defined as the independent operating condition labels. The step of substituting the initial equipment adjustment action command into the equipment coupling mapping table to perform deduction and filter out the cooperative commands that approach the standard reference sample includes: substituting the initial equipment adjustment action command into the equipment coupling mapping table to perform state transmission path deduction and prediction, clearing conflicting commands that cause downstream equipment operating condition nodes to deviate from the standard reference sample due to the deduction and prediction results, and retaining the cooperative commands that cause downstream equipment operating condition nodes to approach the standard reference sample due to the deduction and prediction results.

3. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 2, characterized in that, Real-time operating parameter values ​​of the boiler and turbine in the coal-fired power generation unit are collected, including: Receive real-time reports from associated equipment of the generator set, including boiler main steam pressure, turbine exhaust temperature, and feedwater flow rate.

4. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 3, characterized in that, Based on the safety boundary thresholds set in the generator set equipment design specifications, the continuously changing real-time operating parameter values ​​are divided into multiple discrete state intervals, including: The boiler main steam pressure, the turbine exhaust temperature, and the feedwater flow rate are each independently divided into a high-state range, a normal state range, and a low-state range.

5. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 4, characterized in that, Extract the media transfer relationships between the boiler and the steam turbine to construct a device connection topology diagram, and generate a device coupling mapping table based on the device connection topology diagram, including: The interconnection relationship of the steam pipelines and the connection relationship of the water pipelines between the boiler and the steam turbine are identified as the medium transmission relationship. Based on the interconnection relationship of the steam pipelines and the connection relationship of the water pipelines, construct the equipment connection topology diagram at the unit level; Based on the equipment connection topology diagram at the unit level, the equipment coupling mapping table is established, and the cascading transmission relationship of the fluctuation of the status nodes of downstream related equipment caused by the change of the status node of the upstream individual equipment is recorded in the equipment coupling mapping table.

6. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 5, characterized in that, The independent operating condition labels are input into the device coupling mapping table for retrieval and combination to generate a global operating condition state matrix, including: A correlation search is performed in the device coupling mapping table to extract the combined features of upstream and downstream linkage conditions with cascade transmission relationships; Extract the location distribution data of the upstream and downstream linkage working condition combination features within the generator set equipment space; The upstream and downstream linkage working condition combination features are sequentially arranged according to the location distribution data. Based on the sequential arrangement results, a combination generation instruction is executed to integrate the global operating condition state matrix that characterizes the actual operating state of the generator set.

7. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 6, characterized in that, Obtain the state matrix corresponding to the optimal operating condition from the unit's historical operating records and set it as the standard baseline sample, including: Extract multiple optimal operating conditions under different generator set load conditions; Obtain the state matrices corresponding to the multiple optimal operating conditions respectively, and define the multiple sets of the obtained state matrices as multiple standard benchmark samples; A static global energy efficiency benchmark library is established using multiple standard benchmark samples.

8. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 7, characterized in that, The global operating condition state matrix is ​​compared with the standard benchmark sample to locate and mark the parts with data differences as operating condition difference nodes, including: Import the generated global operating condition state matrix into the static global energy efficiency benchmark map library; perform a node-by-node scan comparison between the global operating condition state matrix and the standard benchmark sample; Extract the corresponding equipment parts whose data contains a preset numerical deviation from the scanning comparison results, and directly mark the extracted equipment parts as the working condition difference nodes.

9. The comprehensive evaluation method for energy-saving potential of coal-fired power generation according to claim 8, characterized in that, Substituting the initial device adjustment action command into the device coupling mapping table to perform state propagation path deduction and prediction includes: Input the initial device adjustment action command and the initial controlled device node associated with the initial device adjustment action command into the device coupling mapping table; Based on the cascade transmission relationship recorded in the device coupling mapping table, the fluctuation state of the downstream device operating node caused by the change of the initial controlled device node state is deduced according to the time sequence. Based on the derived fluctuation state of the downstream equipment operating nodes, extract the state evolution characteristics of the downstream equipment operating nodes after the action is triggered. Remove conflicting instructions that cause downstream equipment operating nodes to deviate from the standard reference sample due to the inference and prediction results, and retain the cooperative instructions that promote downstream equipment operating nodes to approach the standard reference sample, including: Compare the derived fluctuation status of the downstream equipment operating conditions with the node data of the standard benchmark sample; If the comparison results show deviation characteristics, the corresponding initial equipment adjustment action command is determined to be a conflict command that causes the working condition to deteriorate and is cleared. If the comparison results show convergence characteristics, the corresponding initial equipment adjustment action command is determined to be the cooperative command that promotes the positive evolution of the operating condition and is retained.

10. A comprehensive evaluation system for the energy-saving potential of coal-fired power generation, applied to the comprehensive evaluation method for the energy-saving potential of coal-fired power generation as described in any one of claims 1 to 9, characterized in that, include: The data acquisition module is used to collect real-time operating parameter values ​​of the boiler and steam turbine in the coal-fired power generation unit; The tag generation module is used to discretize and encode the real-time operating parameter values ​​to generate independent operating condition tags for the corresponding devices. The mapping generation module is used to extract the medium transmission relationship between the boiler and the steam turbine to construct the equipment connection topology diagram, and generate an equipment coupling mapping table based on the equipment connection topology diagram; The matrix generation module is used to input the independent operating condition labels into the device coupling mapping table for retrieval and combination, and generate a global operating condition status matrix. The difference comparison module is used to obtain the state matrix corresponding to the optimal operating condition in the unit's historical operating records and set it as a standard benchmark sample. The global operating condition state matrix is ​​compared with the standard benchmark sample to locate the parts where there are data differences and mark them as operating condition difference nodes. The deduction and screening module is used to retrieve and match the initial equipment adjustment action command based on the working condition difference node, substitute the initial equipment adjustment action command into the equipment coupling mapping table to perform deduction, and screen out the cooperative command that is close to the standard benchmark sample. The conclusion sending module is used to summarize the retained collaborative instructions, generate a comprehensive evaluation conclusion, and send it to the output terminal.

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