Thermal power generating unit visual static modeling method and system based on EBSILON
By using the EBSILON-based visual static modeling method, a multi-source model was constructed and thermodynamic dynamic decoupling was performed. This solved the modeling accuracy problem of thermal power units during alternating heating and power generation operations, realized dynamic response to actual operating conditions, and improved the adaptability of the model and the accuracy of energy efficiency assessment.
Patent Information
- Application Number
- CN202510958004.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-11
- Publication Date
- 2025-10-31
AI Technical Summary
When existing thermal power units operate under alternating heating and power generation loads, traditional modeling methods cannot dynamically respond to fluctuations in actual operating conditions, resulting in significant discrepancies between simulation results and on-site operating data. In particular, when the heating steam extraction deviates from the design value, the model's response accuracy to key parameters such as enthalpy changes and feedwater flow disturbances decreases significantly.
The EBSILON-based visual static modeling method is adopted. Through multi-source model construction, thermodynamic dynamic decoupling and parameter reconstruction, the extraction steam flow characteristic equation and condenser variable operating condition compensation model are introduced. Combined with the heating retrofit scheme and design documents, dynamic modeling of the power generation-heating system of thermal power units is realized, and the parameter update logic is automatically triggered to improve the modeling accuracy.
It significantly improves the modeling accuracy under non-design conditions such as low load and excessive steam extraction, enhances the adaptability and reliability of the model, provides higher accuracy in energy efficiency assessment and compatibility with scheduling strategies, and supports performance optimization and operation decision-making for cogeneration units.
Smart Images
Figure CN120874346A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of visualization modeling technology, and in particular to a visualization static modeling method and system for thermal power units based on EBSILON. Background Technology
[0002] Currently, thermal power units face the new operating conditions of alternating "heating-power generation" dual loads. Especially during the winter regional heating season, units need to frequently adjust the extraction steam volume and main steam parameters to adapt to the coupled heat and power dispatch. However, existing thermal modeling methods generally rely on building static models based on a single design condition, which cannot dynamically respond to fluctuations in actual operating conditions. In particular, when the extraction steam for heating deviates from the design value, the model's response accuracy to key parameters such as changes in enthalpy and disturbances in feedwater flow rate decreases significantly, resulting in a large deviation between simulation results and field operating data.
[0003] On the other hand, although EBSILON has the ability to visualize modeling and modular construction, its model configuration is highly dependent on manual settings and lacks a real-time decoupling processing mechanism for variable operating condition data. Traditional modeling processes often do not establish a dynamic coupling mechanism between extraction steam parameters and heat rate, nor do they incorporate enthalpy compensation under low load into the thermodynamic balance equation. This results in the model exhibiting problems such as falsely low heat rate and unbalanced load distribution under heating conditions, which limits its practical value in heating system renovation, power plant peak shaving, and energy efficiency assessment. Therefore, there is an urgent need for a new modeling method that can integrate multi-source design data, real-time operating condition input, and dynamic correction of heating characteristics to improve the adaptability and reliability of static models. Summary of the Invention
[0004] This invention provides a method and system for visual static modeling of thermal power units based on EBSILON.
[0005] The EBSILON-based method for visual static modeling of thermal power units includes the following steps: S1, Multi-source model construction: Obtain unit design parameters and heating retrofit scheme, configure the connection topology of boiler, steam turbine, heating extraction valve and condenser in EBSILON, and generate basic model file; S2, Thermal Dynamic Decoupling: Load the basic model file into the visualization interface, inject the measured data under varying operating conditions, separate the associated parameters of the heating system and the power generation system through the decoupling algorithm, and output the operating condition decoupling model. The associated parameters include the extraction steam enthalpy compensation amount and the feedwater flow correction coefficient. S3, Parameter Reconstruction Output: Based on the thermodynamic decoupling coefficient in the operating condition decoupling model, reconstruct the turbine heat rate calculation equation and update the static model parameters to generate the corrected static model.
[0006] Optionally, S1 includes: S11, Data Acquisition: Extract unit design parameters, including main steam pressure, temperature and extraction steam design flow rate, and obtain the installation location and pipe size information of extraction steam valve from the heating renovation plan; S12, Topology Configuration: Establish the connection relationship between the boiler, high-pressure cylinder and intermediate-pressure cylinder in EBSILON, insert the extraction valve in the exhaust section of the intermediate-pressure cylinder and configure its flow control formula, and at the same time build the cold end loop between the condenser and the low-pressure cylinder, and add the back pressure compensation model related to cooling water. S13, Model Generation: Export the configured topology and control formulas into a basic model file that can be recognized by EBSILON.
[0007] Optionally, S11 includes: S111, Design Parameter Extraction: Extract the main thermodynamic parameters under rated operating conditions from the power plant unit design documents, including main steam pressure, main steam temperature, and design flow rate of heating extraction steam. S112, Modification Information Analysis: Based on the heating system modification plan, extract the installation space coordinates of the extraction valve and the pipe diameter change parameters.
[0008] Optionally, S12 includes: S121, Power generation circuit construction: In EBSILON, the main steam power generation circuit is established in the order of "boiler outlet → high pressure cylinder → medium pressure cylinder" to form a basic energy transfer path; S122, Steam extraction valve modeling and configuration: Insert the heating steam extraction valve into the exhaust pipe section of the intermediate pressure cylinder, set its spatial position in combination with the modification scheme, and configure the flow control equation with valve flow coefficient and pressure difference as the core. S123, Cold-end system compensation modeling: Establish the loop structure between the condenser and the low-pressure cylinder, and introduce a condenser thermodynamic compensation model based on cooling water flow and temperature.
[0009] Optionally, S2 includes: S21, Model Loading: Import the basic model file into the visualization interface to display the location of the heating steam extraction valve and the system topology; S22, Data Injection: Obtain operational data, including load rate, extraction steam flow rate, exhaust steam enthalpy, and feedwater flow rate, through the OPC interface; S23, Decoupling algorithm execution: Determine whether to trigger decoupling calculation based on actual operating conditions, including calculating the feedwater correction coefficient when the extraction steam flow exceeds the design value threshold, and calculating the extraction steam enthalpy compensation amount when the load rate is lower than the judgment lower limit threshold. S24, Conflict Warning: If the correction coefficient exceeds the correction coefficient threshold or the enthalpy compensation is lower than the enthalpy compensation threshold, an orange flashing warning will be issued on the interface to indicate that there is a thermal anomaly. S25, Model Output: Write the calculation results into the model to generate a decoupled model including correction coefficients.
[0010] Optionally, S23 includes: S231, Feedwater flow correction coefficient calculation: When the actual steam extraction flow rate is detected to exceed the design threshold, the system triggers the calculation of the feedwater correction coefficient. S232, Calculation of extraction steam enthalpy compensation: When the real-time load rate is lower than the lower threshold of the discrimination, calculate the extraction steam enthalpy compensation.
[0011] Optionally, S25 includes: S251, Decoupling parameter embedding: The calculated feedwater flow correction coefficient and extraction steam enthalpy compensation amount are written into the basic model; S252, Decoupling Model Generation: Generate a decoupling model including correction coefficients based on embedded decoupling parameters.
[0012] Optionally, S3 includes: S31, Model Loading: Read the required parameters from the decoupled model, including feedwater correction coefficient, extraction steam enthalpy compensation, and heating mode flag. S32, Heat rate equation reconstruction: Based on the read feedwater correction coefficient, extraction steam enthalpy compensation amount and heating mode flag, the design heat rate is corrected to construct the heat rate under the current operating conditions. S33, Static parameter update: Write the reconstructed heat rate and corrected parameters into the model, including updating the turbine heat rate, correcting the feedwater flow rate, and correcting the extraction steam enthalpy. S34, Model Generation: Compile the updated model and output the corrected static model file.
[0013] Optionally, S33 includes: S331, Heat rate writing: Write the result calculated by the heat rate reconstruction formula into the turbine performance module; S332, Water supply flow correction: When the heating flag is 1, it indicates that the system is in heating mode. At this time, the design water supply flow is adjusted according to the water supply correction coefficient to obtain a new water supply flow value, which is then updated in the model. S333, Extraction Enthalpy Correction: Add the calculated extraction enthalpy compensation to the measured exhaust enthalpy to obtain the corrected extraction enthalpy, and write it into the model.
[0014] The EBSILON-based visual static modeling system for thermal power units, used to implement the aforementioned EBSILON-based visual static modeling method for thermal power units, includes the following modules: Multi-source model building module: Obtain unit design parameters and heating retrofit scheme, build the connection topology between boiler, steam turbine, heating extraction valve and condenser, and create and export basic model files in the EBSILON environment; Thermodynamic decoupling module: Loads the basic model file into the visualization interface and injects real-time operating data under varying operating conditions. It executes the decoupling algorithm to separate the associated parameters between the heating system and the power generation system, and outputs the operating condition decoupling model including the extraction steam enthalpy compensation and the feedwater flow correction coefficient. Parameter reconstruction and model update module: Based on the decoupling coefficients extracted from the decoupling model, the turbine heat rate calculation equation is reconstructed, and the thermodynamic boundary parameters in the static model are updated to generate a corrected static model with the ability to adapt to actual operating conditions.
[0015] The beneficial effects of this invention are: This invention achieves complete thermodynamic modeling of the dual-loop "power generation-heating" system of thermal power units by constructing a visual static modeling method based on the EBSILON platform. Compared with traditional static modeling methods based on a single design condition, this invention introduces for the first time an extraction steam flow characteristic equation and a condenser variable operating condition compensation model, effectively quantifying the impact of dynamic behavior of the extraction steam valve and changes in cooling water conditions on system back pressure, thus improving the adaptability of the topology model to actual operating boundary conditions. Simultaneously, by integrating heating system retrofit schemes and design documents, the invention achieves automatic construction of basic model files, providing structured input for subsequent decoupling and correction algorithms, significantly reducing the workload of manual configuration.
[0016] This invention innovatively proposes a thermodynamic decoupling mechanism based on measured operational data. It establishes separate calculation models for the feedwater flow correction coefficient and the extraction steam enthalpy compensation, embedding them into the heat rate equation to achieve parameter reconstruction. This method, combined with a two-factor coupling correction strategy, significantly improves modeling accuracy under non-design conditions such as low load and excessive extraction steam. By setting a heating mode flag, it automatically triggers parameter update logic, achieving intelligent switching and accuracy correction of the static model. The final corrected static model output has higher energy efficiency assessment accuracy and scheduling strategy compatibility, providing strong support for performance optimization and operational decisions of cogeneration units during the heating season. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart of a method according to an embodiment of the present invention; Figure 2 This is a system block diagram of an embodiment of the present invention. Detailed Implementation
[0019] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.
[0020] It should be noted that the use of terms such as "an embodiment," "an embodiment," "an exemplary embodiment," and "some embodiments" in the specification indicates that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the art.
[0021] Generally, terms can be understood at least partly from their use in context. For example, depending at least partly on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in a singular sense, or a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood not necessarily to convey an exclusive set of factors, but rather, alternatively, depending at least partly on the context, to allow for the presence of other factors that are not necessarily explicitly described.
[0022] like Figure 1 As shown, the EBSILON-based method for visual static modeling of thermal power units includes the following steps: S1, Multi-source model construction: Obtain unit design parameters and heating retrofit scheme, configure the connection topology of boiler, steam turbine, heating extraction valve and condenser in EBSILON, and generate basic model file; S1 specifically includes: S11, Data Acquisition: Extract basic thermal parameters from power plant design documents to clarify the unit's operating indicators under rated conditions, including main steam pressure. Main steam temperature Design flow rate of steam extraction for heating This information is used for the initial value configuration and flow boundary constraints of each thermal node in the subsequent model, and to extract the spatial coordinates of the extraction valve from the heating system renovation scheme. The diameter matching parameters between the original pipeline and the original pipeline provide spatial positioning and physical constraint basis for the parametric modeling of the extraction steam loop; in, The value ranges from 13 to 24, corresponding to the design parameters of mainstream 300MW to 1000MW units in China, and is usually determined by the boiler specifications. The value range is 530-600, and the unit is... The value is related to the design of supercritical / subcritical units and needs to take into account both thermal efficiency and the temperature resistance of materials. The value range is 50-300; S12, Topology Configuration: Complete the logical connections between thermal devices in the EBSILON system to ensure that the model has a visual topology representation of the actual operating structure. This includes: (1) According to " The sequence of "establishing the series connection between the boiler outlet, high-pressure cylinder and intermediate-pressure cylinder" reconstructs the energy conversion path of the main steam in the power generation system; (2) Accurately locate the extraction valve assembly in the intermediate-pressure cylinder exhaust pipe and establish the flow characteristic equation of the extraction valve to dynamically simulate the heat distribution behavior under different loads, expressed as: ; in, This is the real-time flow rate of the extraction steam valve, with a value range of 10-90. The real-time operating value is regulated by the control system, and the value range should cover the maximum heating load demand. The valve flow coefficient is obtained from a table based on the valve model, with a range of 10-300. Different valve types (e.g., single-seat, double-seat, or control valves) require characteristic curves provided by the manufacturer for precise determination. For high-flow-rate applications, a larger flow coefficient is necessary. value, This is the pressure difference across the valve, measured in MPa, with a range of 0.1-2.5. It is related to the pressure difference between the intermediate-pressure cylinder and the extraction steam header, and is affected by fluctuations in operating load. It is used to dynamically reflect the valve control range. It is the specific gravity of steam, in units of The value is fixed at 0.65, which is the specific gravity of typical medium-pressure steam under design conditions, and is used as an empirical value for approximate calculations. (3) Establish a regenerative circuit between the condenser and the low-pressure cylinder, and introduce a thermodynamic compensation mechanism under varying operating conditions. To reflect the influence of cooling water parameters on condensing pressure, a condenser thermodynamic compensation model is established, expressed as: ; in, This refers to the condenser pressure, ranging from 3.5 to 10.5 kPa. It represents the back pressure variation range corresponding to the cooling tower's operating conditions under normal conditions, and determines the turbine back pressure loss. This refers to the circulating water flow rate, with a value ranging from 10,000 to 30,000. The unit is... The operating range of large cooling tower water pumps is determined based on the actual flow rate adjustment capacity. This refers to the inlet temperature of the circulating water, with a range of 5-32°C, and the unit is... It varies with the seasons, and typical values are derived from annual statistical data on environmental and meteorological conditions. It is the heat transfer coefficient, which is determined through regression fitting of historical operating data and experimental data to reflect the sensitivity of heat transfer efficiency to cooling parameters. The effect of cooling water flow rate on condenser pressure exhibits a non-linear decreasing relationship; that is, as the flow rate increases, the improvement effect of a unit flow rate on back pressure decreases. The square coefficient should be small; setting it too large will amplify flow disturbances in the simulation, affecting model stability. An increase in cooling water inlet temperature significantly reduces the heat transfer driving force, thereby causing an increase in condensate pressure. This linear coefficient reflects temperature sensitivity, and the back pressure fluctuation between winter (low temperature) and summer (high temperature) is mainly controlled by this parameter. It is the back pressure compensation constant, and its value range is... It is used to correct model residuals and improve the fitting accuracy under varying loads, and is derived from statistical regression adjustment; S13, Model Generation: After completing the equipment topology construction and control equation configuration, the modeling content in EBSILON is exported as a standard format basic model file. The output format is .ebs, which can be used for subsequent visualization interface calls and operation data injection. This model file not only includes the structural relationships and initial parameter values of the equipment, but also integrates customized extraction valve control logic and condenser compensation model.
[0023] S2, Thermal Dynamic Decoupling: Load the basic model file into the visualization interface, inject the measured data under varying operating conditions, separate the associated parameters of the heating system and the power generation system through the decoupling algorithm, and output the operating condition decoupling model. The associated parameters include the extraction steam enthalpy compensation amount and the feedwater flow correction coefficient. S2 specifically includes: S21, Model Loading: Load the generated basic model file (.ebs) into the modeling system, render the system structure through a visual interface, and automatically label the location of the heating extraction valve and the connection path between the main circuit and the heating circuit. This model serves as the structural carrier for subsequent parameter decoupling analysis, ensuring that the simulation process is based on the actual operating condition topology. S22, Data Injection: Utilizing the OPC interface to connect with the DCS system in real time, key operating data is injected into the model to drive decoupled calculations. Key operating data includes real-time load rate (used to determine whether it is in a low load range), heating extraction steam flow rate (to assess extraction steam exceeding limits), intermediate pressure cylinder exhaust steam enthalpy (to analyze energy shift), and current feedwater flow rate (as a final adjustment reference). These data form the input feature vector of the thermodynamic state, which is the basis for subsequent calculation of decoupled parameters. S23, Decoupling Algorithm Execution: Determine whether the decoupling condition is met based on the data input result, and perform the correlation parameter separation operation, as shown below: (1) Generation of feedwater flow correction coefficient: When the extraction steam flow rate significantly exceeds the design value (more than 20%), it indicates that the heating system has caused a strong energy disturbance to the turbine system. Therefore, it is necessary to construct a feedwater flow correction coefficient based on the relative deviation of the extraction steam flow rate. This is used to adjust subsequent feedwater estimates, i.e., when the steam extraction exceedance condition is met. When calculating the water supply flow correction factor. , represented as: ; in, This is a feedwater flow rate correction factor (dimensionless), ranging from 1.0 to 1.8. It characterizes the degree of amplification and correction of feedwater flow rate after steam extraction disturbance and is used as an intermediate calculation in model updates. It is the unit decoupling constant, and its value range is... Determined by fitting historical data, this value represents the unit's sensitivity to disturbances caused by excessive steam extraction. It is typically obtained through regression analysis of a large amount of operating data. Different units vary in structure, regulation methods, and load regulation capabilities; therefore, a range of 0.15 to 0.25 is recommended. A smaller value indicates a stable system response to disturbances, while a larger value indicates strong coupling and rapid disturbance propagation. Provided by the unit's heating system retrofit plan, this represents the baseline value of steam extraction capacity under standard operating conditions. It is the design flow rate of the steam extraction system under normal heating conditions, explicitly given in the heating system retrofit design documents. It serves as a benchmark for assessing the degree of deviation in actual steam extraction and must be used as a reference during correction calculations to ensure engineering consistency in the judgment logic. The intensity of steam extraction for heating under actual operating conditions is collected in real time by field measuring points (such as flow meters). It is a key indicator for determining whether the decoupling mechanism is triggered. Comparison with the design value can determine whether the current operating condition deviates from the preset range, thereby activating the correction mechanism. 20% is the design value threshold. In heating mode, the steam extraction flow rate significantly disturbs the main steam system. Based on a review of actual operating data and system thermal control simulation analysis, when the steam extraction exceeds the design benchmark value by less than 10%, the main steam system can still absorb and stabilize it through regulating valves and pressure feedback; however, once it exceeds 20%, significant parameter drift will occur (such as reduced feedwater temperature and turbine final stage efficiency). (2) Generation of extraction steam enthalpy compensation: When the unit load rate is less than 50%, the exhaust steam parameters may deviate significantly from the design value. Especially under nonlinear heat exchange conditions, the enthalpy of the extraction steam point usually decreases. Therefore, an enthalpy compensation term is introduced. It is used to quantitatively reflect the compensation amount for the decrease in enthalpy, that is, when the load deficiency condition is met. At that time, calculate the enthalpy compensation amount of steam extraction. , represented as: ; in, It is the enthalpy compensation amount of steam extraction ( This reflects the correction amount for the decrease in extraction enthalpy under low load. It is the enthalpy decay factor, with a value range of . The data was obtained by referring to a table based on the unit type, reflecting the sensitivity of different types of units to the decrease in extraction steam enthalpy during low-load operation. Back-pressure units are more affected by load fluctuations. A value of 0.5 is acceptable; condensing units offer better heat exchange stability. A relatively small value is recommended, with 0.3 being ideal. This parameter is typically obtained from historical operating condition analysis or equipment performance tables and is used to control the compensation level, avoiding over-correction or under-correction. It is the design exhaust enthalpy value ( The value, ranging from 2600 to 3100, represents the theoretical enthalpy of the intermediate-pressure cylinder exhaust point under design conditions. Derived from the thermodynamic system design documents, it serves as a benchmark for determining whether the current state deviates from the design parameters. The specific value depends on the unit's steam pressure, temperature, and extraction stage. It is the measured exhaust enthalpy value ( The value, ranging from 2300 to 3000, represents the actual enthalpy of the intermediate-pressure cylinder exhaust point under current operating conditions. It is typically calculated by measuring temperature and pressure using thermocouples and combining this with an enthalpy table. This value is significantly affected by the operating load and is a primary basis for judging thermal mismatch. The real-time load factor (%) reflects the ratio of the current power generation load to the rated load and is the criterion for triggering the compensation mechanism. During the low-load operation phase, the opening of some extraction steam regulating valves is limited and the back pressure fluctuation increases, resulting in a large difference between the system response characteristics and the normal operating range. It is necessary to introduce a compensation mechanism to correct this. Setting 50% as the lower limit threshold helps to distinguish between normal operation and nonlinear disturbance zone. S24, Conflict Warning: After completing the decoupling parameter calculation, the results are anomaly identified, and abnormal operating conditions are highlighted in orange on the graphical interface to assist operators in timely intervention. Specifically, this includes: (1) Water supply correction factor This indicates that the steam extraction limit is severely exceeded, which may lead to an imbalance in the hydrodynamic system. Among them, when the water supply correction coefficient When this value is 1, it indicates that the current feedwater flow rate needs to be increased by more than 50% to maintain thermal balance, which means that the steam extraction flow rate has seriously exceeded the design capacity. Under this condition, the hydrodynamic system (such as feedwater pumps and regulating valves) may enter the nonlinear operating condition zone, which cannot guarantee the stability of pressure and flow rate, and there is a risk of water hammer or water temperature fluctuation. It is often accompanied by abnormal signals such as frequent fluctuations of regulating valves and thermal balance instability, which belong to the high-risk zone. 1.5 is the preset correction coefficient threshold. (2) Enthalpy compensation This indicates that the energy model may be biased due to excessively low load. When the enthalpy compensation is negative and the magnitude exceeds 200 kJ / kg, it indicates that the measured extraction enthalpy is significantly lower than the design value, and the system's thermal characteristics exhibit discontinuous changes. This is a typical "unsteady-state distortion region," which may be caused by low load or a sharp decrease in thermodynamic conversion efficiency. Without compensation, the model will generate significant errors, leading to inaccurate heat rate estimation, deviations in heat supply prediction, and even misjudgment of the system state. The preset enthalpy compensation threshold; S25, Model Output: This data is written into the base model file as part of the static modeling parameters, completing the coupled update from runtime data to the structural model. The final result is a decoupled model including correction coefficients, which can be used for subsequent thermodynamic balance calculations, efficiency assessments, and strategy optimization analyses. Specifically, this includes: (1) Water supply flow correction module: The calculated water supply flow correction coefficient is used to correct the water supply flow rate. Applying this to the original water supply flow boundary, a modified expression is formed, which is expressed as: (2) Extraction enthalpy compensation module: The calculated enthalpy compensation amount Superimposed on the measured exhaust enthalpy, the corrected extraction enthalpy boundary is constructed, denoted as: ; in, This is the corrected extraction enthalpy value, used to replace the measured enthalpy value for model fitting, making the model's thermodynamic characteristics under low load closer to the design value, and improving the accuracy of system response simulation. The value range is 2600-3100. It is the measured exhaust enthalpy value, ranging from 2300 to 3000.
[0024] S3, Parameter Reconstruction Output: Based on the thermodynamic decoupling coefficient in the operating condition decoupling model, reconstruct the turbine heat rate calculation equation and update the static model parameters to generate the corrected static model. S3 specifically includes: S31, Model Loading: Extracting key thermodynamic correction parameters from the decoupled operating condition model to drive the dynamic reconstruction and static model update of the subsequent heat rate formula, specifically including: (1) Water supply flow correction coefficient This reflects the degree of impact of steam extraction disturbance on the water-side system; (2) Extraction enthalpy compensation It is used to correct the error caused by the offset of exhaust steam energy under low load; (3) Heating status indicator This is used to determine whether the current system is in heating mode and to decide whether to execute some parameter update logic. The value can be 1 or 0. Indicates the heating mode. Indicates pure condensation mode; S32, Reconstruction of the heat rate equation: Based on the extracted decoupling parameters, the turbine heat rate is modified at the formula level to construct an energy consumption expression that better reflects actual operating conditions, expressed as: ; in, This is the corrected turbine heat rate (unit: The value range is 7500-10000. Design operating condition heat rate (unit: The value range is 7500-8800. It is a decoupling compensation factor, with a value range of... The sensitivity of the extraction steam rate to changes in heat consumption is reflected by fitting thermal test data. This is the flow correction weight, used to represent the additional heat loss caused by water supply disturbance, and it takes a fixed value. To enhance the model's ability to express water-side responses, Real-time steam extraction flow rate (unit: ), Design extraction steam flow rate (unit: ), It is the enthalpy compensation amount of steam extraction (unit: ), It is the design exhaust enthalpy value (unit: ), It is the water supply flow correction factor (dimensionless). S33, Static Parameter Update: The corrected heat rate and thermodynamic boundary conditions are embedded into the static model structure, enabling the model to possess the thermodynamic characteristics under the current operating conditions. Specifically, this includes: (1) Write it into the turbine performance module to replace the original design heat rate and improve the accuracy of the model's thermal efficiency calculation; (2) Under heating mode, Update the water supply flow design value to ensure that the hydrodynamic parameters match the current load characteristics, as shown below: ; in, This is the updated water supply flow rate (unit: t / h). Design water supply flow rate (unit: The value range is 200-1000; (3) Update the extraction steam enthalpy: Correct the extraction steam enthalpy using the extraction steam enthalpy compensation amount, and calculate the updated extraction steam enthalpy. , used to construct the thermal equilibrium boundary, is represented as: ; in, This is the updated extraction enthalpy (unit: kJ / kg). This is the measured enthalpy value of the intermediate pressure cylinder exhaust steam (unit: ); S34, Model Generation: Recompile the updated parameters and the reconstructed heat rate equations to output a corrected static model file in .ebs format, which is used for subsequent calculations and simulation analysis of the thermal system under heating conditions.
[0025] like Figure 2 As shown, the EBSILON-based visualization static modeling system for thermal power units, used to implement the aforementioned EBSILON-based visualization static modeling method for thermal power units, includes the following modules: Multi-source model building module: Obtain unit design parameters and heating retrofit scheme, build the connection topology between boiler, steam turbine, heating extraction valve and condenser, and create and export basic model files in the EBSILON environment; Thermodynamic decoupling module: Loads the basic model file into the visualization interface and injects real-time operating data under varying operating conditions. It executes the decoupling algorithm to separate the associated parameters between the heating system and the power generation system, and outputs the operating condition decoupling model including the extraction steam enthalpy compensation and the feedwater flow correction coefficient. Parameter reconstruction and model update module: Based on the decoupling coefficients extracted from the decoupling model, the turbine heat rate calculation equation is reconstructed, and the thermodynamic boundary parameters in the static model are updated to generate a corrected static model with the ability to adapt to actual operating conditions.
[0026] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.
[0027] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.
Claims
1. A visual static modeling method for thermal power units based on EBSILON, characterized in that, Includes the following steps: S1, Multi-source model construction: Obtain unit design parameters and heating retrofit scheme, configure the connection topology of boiler, steam turbine, heating extraction valve and condenser in EBSILON, and generate basic model file; S2, Thermal Dynamic Decoupling: Load the basic model file into the visualization interface, inject the measured data under varying operating conditions, separate the associated parameters of the heating system and the power generation system through the decoupling algorithm, and output the operating condition decoupling model. The associated parameters include the extraction steam enthalpy compensation amount and the feedwater flow correction coefficient. S3, Parameter Reconstruction Output: Based on the thermodynamic decoupling coefficient in the operating condition decoupling model, reconstruct the turbine heat rate calculation equation and update the static model parameters to generate the corrected static model.
2. The EBSILON-based visual static modeling method for thermal power units according to claim 1, characterized in that, S1 includes: S11, Data Acquisition: Extract unit design parameters, including main steam pressure, temperature and extraction steam design flow rate, and obtain the installation location and pipe size information of extraction steam valve from the heating renovation plan; S12, Topology Configuration: Establish the connection relationship between the boiler, high-pressure cylinder and intermediate-pressure cylinder in EBSILON, insert the extraction valve in the exhaust section of the intermediate-pressure cylinder and configure its flow control formula, and at the same time build the cold end loop between the condenser and the low-pressure cylinder, and add the back pressure compensation model related to cooling water. S13, Model Generation: Export the configured topology and control formulas into a basic model file that can be recognized by EBSILON.
3. The EBSILON-based visual static modeling method for thermal power units according to claim 2, characterized in that, S11 includes: S111, Design Parameter Extraction: Extract the main thermodynamic parameters under rated operating conditions from the power plant unit design documents, including main steam pressure, main steam temperature, and design flow rate of heating extraction steam. S112, Modification Information Analysis: Based on the heating system modification plan, extract the installation space coordinates of the extraction valve and the pipe diameter change parameters.
4. The EBSILON-based visual static modeling method for thermal power units according to claim 2, characterized in that, S12 includes: S121, Power generation circuit construction: In EBSILON, the main steam power generation circuit is established in the order of "boiler outlet → high pressure cylinder → medium pressure cylinder" to form a basic energy transfer path; S122, Steam extraction valve modeling and configuration: Insert the heating steam extraction valve into the exhaust pipe section of the intermediate pressure cylinder, set its spatial position in combination with the modification scheme, and configure the flow control equation with valve flow coefficient and pressure difference as the core. S123, Cold-end system compensation modeling: Establish the loop structure between the condenser and the low-pressure cylinder, and introduce a condenser thermodynamic compensation model based on cooling water flow and temperature.
5. The EBSILON-based visual static modeling method for thermal power units according to claim 4, characterized in that, S2 includes: S21, Model Loading: Import the basic model file into the visualization interface to display the location of the heating steam extraction valve and the system topology; S22, Data Injection: Obtain operational data, including load rate, extraction steam flow rate, exhaust steam enthalpy, and feedwater flow rate, through the OPC interface; S23, Decoupling algorithm execution: Determine whether to trigger decoupling calculation based on actual operating conditions, including calculating the feedwater correction coefficient when the extraction steam flow exceeds the design value threshold, and calculating the extraction steam enthalpy compensation amount when the load rate is lower than the judgment lower limit threshold. S24, Conflict Warning: If the correction coefficient exceeds the correction coefficient threshold or the enthalpy compensation is lower than the enthalpy compensation threshold, an orange flashing warning will be issued on the interface to indicate that there is a thermal anomaly. S25, Model Output: Write the calculation results into the model to generate a decoupled model including correction coefficients.
6. The EBSILON-based visual static modeling method for thermal power units according to claim 5, characterized in that, S23 includes: S231, Feedwater flow correction coefficient calculation: When the actual steam extraction flow rate is detected to exceed the design threshold, the system triggers the calculation of the feedwater correction coefficient. S232, Calculation of extraction steam enthalpy compensation: When the real-time load rate is lower than the lower threshold of the discrimination, calculate the extraction steam enthalpy compensation.
7. The EBSILON-based visual static modeling method for thermal power units according to claim 5, characterized in that, S25 includes: S251, Decoupling parameter embedding: The calculated feedwater flow correction coefficient and extraction steam enthalpy compensation amount are written into the basic model; S252, Decoupling Model Generation: Generate a decoupling model including correction coefficients based on embedded decoupling parameters.
8. The EBSILON-based visual static modeling method for thermal power units according to claim 7, characterized in that, S3 includes: S31, Model Loading: Read the required parameters from the decoupled model, including feedwater correction coefficient, extraction steam enthalpy compensation, and heating mode flag. S32, Heat rate equation reconstruction: Based on the read feedwater correction coefficient, extraction steam enthalpy compensation amount and heating mode flag, the design heat rate is corrected to construct the heat rate under the current operating conditions. S33, Static parameter update: Write the reconstructed heat rate and corrected parameters into the model, including updating the turbine heat rate, correcting the feedwater flow rate, and correcting the extraction steam enthalpy. S34, Model Generation: Compile the updated model and output the corrected static model file.
9. The EBSILON-based visual static modeling method for thermal power units according to claim 8, characterized in that, S33 includes: S331, Heat rate writing: Write the result calculated by the heat rate reconstruction formula into the turbine performance module; S332, Water supply flow correction: When the heating flag is 1, it indicates that the system is in heating mode. At this time, the design water supply flow is adjusted according to the water supply correction coefficient to obtain a new water supply flow value, which is then updated in the model. S333, Extraction Enthalpy Correction: Add the calculated extraction enthalpy compensation to the measured exhaust enthalpy to obtain the corrected extraction enthalpy, and write it into the model.
10. A visualization static modeling system for thermal power units based on EBSILON, used to implement the visualization static modeling method for thermal power units based on EBSILON as described in any one of claims 1-9, characterized in that, Includes the following modules: Multi-source model building module: Obtain unit design parameters and heating retrofit scheme, build the connection topology between boiler, steam turbine, heating extraction valve and condenser, and create and export basic model files in the EBSILON environment; Thermodynamic decoupling module: Loads the basic model file into the visualization interface and injects real-time operating data under varying operating conditions. It executes the decoupling algorithm to separate the associated parameters between the heating system and the power generation system, and outputs the operating condition decoupling model including the extraction steam enthalpy compensation and the feedwater flow correction coefficient. Parameter reconstruction and model update module: Based on the decoupling coefficients extracted from the decoupling model, the turbine heat rate calculation equation is reconstructed, and the thermodynamic boundary parameters in the static model are updated to generate a corrected static model with the ability to adapt to actual operating conditions.