CN117216923A - Turboset performance monitoring system, method and terminal based on thermodynamic system simulation - Google Patents
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Abstract
The invention provides a turboset performance monitoring system, a method and a terminal based on thermodynamic system simulation, wherein the system comprises a thermodynamic system modeling module, a thermodynamic system model and a control module, wherein the thermodynamic system modeling module is used for setting unit design characteristic data in configuration elements, and constructing the thermodynamic system model through topological connection relations among the configuration elements; the data preprocessing module is used for carrying out redundancy processing and data reconstruction on the operation data of each thermal measuring point of the unit so as to obtain preprocessed operation data; the on-line performance analysis module is used for assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance so as to calculate thermodynamic system simulation results and unit performance indexes; and the performance comparison module is used for comparing the thermodynamic system simulation result and the unit performance index with design characteristic data to obtain operation deviation. The method improves the accuracy and the instantaneity of performance calculation in real-time performance monitoring of the thermal power generating unit so as to improve the running economy of the unit.
Description
Technical Field
The invention belongs to the technical field of performance monitoring of turbosets, relates to a monitoring system and a monitoring method, and particularly relates to a turboset performance monitoring system, method and terminal based on thermodynamic system simulation.
Background
In recent years, under the promotion of energy saving and consumption reduction policies, deep mining of energy saving potential of coal-fired units has become a great importance. The performance monitoring of the turbine unit is one of important means for improving the running economy of the unit, reducing the energy consumption of the unit and evaluating the running performance of the unit. The current unit performance monitoring systems all take operation data as the main part, and can guide operators to carry out unit operation optimization adjustment. However, based on the existing monitoring system, the unit design and operation cannot form a closed loop, and the actual operation effect of the designed unit cannot be fed back to the unit design work to guide design iteration.
Meanwhile, as the thermodynamic system of the thermal power generating unit is huge and complex, the conventional thermodynamic system code modeling process is complicated, the iterative computation amount is large, and the computation time is long, so that the thermodynamic system modeling and computation efficiency is required to be improved.
In addition, accurate measurement data is a precondition for monitoring the performance of the unit, but because the working environment of the on-site sensor of the thermal power unit is bad, a large amount of noise is doped in the operation data, and even the sensor can still fail, the on-site operation data contains a large amount of interference information, and the calculation accuracy of the performance of the unit is affected.
Therefore, how to provide a turboset performance monitoring system method and terminal based on thermodynamic system simulation, so as to solve the technical problem that the existing monitoring system has a large amount of interference information in field operation data, influences the accuracy of unit performance calculation and the like, and the technical problem is needed to be solved by the technicians in the field.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention aims to provide a turboset performance monitoring system, method and terminal based on thermodynamic system simulation, which are used for solving the problem that the on-site operation data of the existing monitoring system contains a large amount of interference information, and the accuracy of unit performance calculation is affected.
To achieve the above and other related objects, according to one aspect of the present invention, there is provided a turboset performance monitoring system based on thermodynamic system simulation, comprising: the thermodynamic system modeling module is used for establishing a thermodynamic system simulation model of the unit, packaging each thermodynamic device into a designated configuration element based on a thermodynamic design simulation platform according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and establishing the thermodynamic system model through topological connection relations among the configuration elements; the data preprocessing module is used for establishing a data preprocessing model of each thermal measuring point according to the historical operation data, and performing redundancy processing and data reconstruction on the real-time operation data by using the model so as to acquire preprocessed operation data; the on-line performance analysis module is used for reading and analyzing the thermodynamic system model, and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model so as to calculate thermodynamic system simulation results and unit performance indexes; the performance comparison module is used for comparing the simulation result of the thermodynamic system and the performance index of the unit with the design characteristic data built in the thermodynamic system model to obtain operation deviation so as to guide the operation adjustment of the unit; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device.
In another aspect, the present invention provides a method for monitoring performance of a turboset based on thermodynamic system simulation, including: establishing a thermodynamic system simulation model of the unit, packaging each thermodynamic device into a designated configuration element based on a thermodynamic design simulation platform according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and establishing the thermodynamic system model through topological connection relations among the configuration elements; establishing a data preprocessing model based on the historical operation data of the unit, and performing redundancy processing and data reconstruction on the real-time operation data by using the established preprocessing model to acquire preprocessed operation data; reading and analyzing the thermodynamic system model, and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model so as to calculate thermodynamic system simulation results and unit performance indexes; comparing the thermodynamic system simulation result and the unit performance index with design characteristic data built in the thermodynamic system model to obtain operation deviation so as to guide the unit operation adjustment; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device.
In an embodiment of the invention, the built thermodynamic system model comprises a turbine body model, a feedwater regenerative heating system model, a shaft seal system model, a cold end system model, a boiler, a water spray cooling system model and a heating system model.
In an embodiment of the present invention, a data preprocessing model of each thermal measurement point is established according to historical operation data, and the model is used to perform redundancy processing and data reconstruction on real-time operation data so as to obtain preprocessed operation data. The method comprises the following steps: based on historical operation data of the unit, analyzing the correlation of thermal parameters of sensors arranged on each thermal device by using a mechanism or data mining method, fitting a data correlation model among thermal measuring points, and establishing a data preprocessing model of the sensors; and calculating the reconstruction value of the sensor on line in real time by using the built data preprocessing model, comparing the reconstruction value with the measured value of the sensor, judging the running state of each sensor, and reconstructing the thermal parameters of the fault sensor for unit thermal balance simulation calculation.
In an embodiment of the present invention, the step of establishing a data preprocessing model of the sensor includes: classifying all the thermodynamic measuring points of the unit according to thermodynamic systems or thermodynamic equipment, and determining the thermodynamic systems or thermodynamic equipment to which each thermodynamic measuring point belongs; according to the redundancy condition of the thermodynamic measurement points in each thermodynamic system, determining a basic measurement point of data preprocessing, setting the measurement point which is larger than or equal to the measurement point value of the same measurement point measured by three sensors as the basic measurement point, and taking the measurement point value as the basic data of a data preprocessing module; according to the distribution of the basic measuring points in the thermodynamic system or the thermodynamic equipment and the mechanism relation between the non-redundant measuring points in the thermodynamic system or the thermodynamic equipment and the basic measuring points, the non-redundant measuring points in the system are subjected to pretreatment level sequencing; selecting historical data of all thermal measuring points in a full-load section of the latest working time of the unit, removing fault data in the historical data, carrying out correlation analysis among thermal parameters, training and verifying mechanism relations among parameters in each level step by step based on historical operation data of the unit, and fitting a data correlation model of each non-redundant measuring point and a basic measuring point; the data correlation model of each non-redundant measuring point and the basic measuring point forms a data preprocessing model of the sensor.
In an embodiment of the present invention, the steps of calculating the reconstruction value of the sensor on line in real time, comparing the reconstruction value with the measured value of the sensor, further judging the operation state of each sensor, and reconstructing the thermal parameters of the fault sensor for the unit thermal balance simulation calculation include: when the thermodynamic system is monitored in real time to run, real-time running data of the unit are obtained; taking the real-time running data of the unit as the input of the data preprocessing model, calculating the reconstruction value of the sensor, and calculating the residual error between the reconstruction value and the measured value of the sensor to judge whether the sensor has faults or not; if yes, the reconstruction value of the sensor is used for replacing the measured value of the sensor which has failed, and the reconstruction value of the sensor is used as the input of the subsequent thermal balance simulation calculation.
In an embodiment of the present invention, according to a data mapping relationship agreed in advance by the thermodynamic system model, the preprocessed operation data is assigned to a physical equation set of each thermodynamic device, and a nonlinear equation set solver is adopted to solve the physical equation set, so as to complete the system heat balance simulation calculation, and the simulation calculation result is used as the input of the subsequent performance index calculation.
In an embodiment of the invention, the thermodynamic system simulation model solving process combines structural design parameters of key equipment with real-time operation data of the unit, and the unit performance monitoring analysis is performed by using a mechanism model based on the structural parameters of the equipment.
In yet another aspect, the invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method of monitoring the performance of a turbine unit of a thermodynamic system.
In a final aspect, the present invention provides a turboset performance monitoring terminal based on thermodynamic system simulation, including: a processor and a memory; the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory so that the turboset performance monitoring terminal based on the thermodynamic system real-time simulation executes the turboset performance monitoring method based on the thermodynamic system simulation.
As described above, the turboset performance monitoring system, method and terminal based on thermodynamic system simulation have the following beneficial effects:
the turboset performance monitoring system, the method and the terminal of the thermodynamic system realize closed loops of a turboset design side and an operation side, set design characteristic parameters are built in a set thermal balance simulation model, and the actual operation performance level of the set is fed back to the design side to guide design iteration. And simultaneously, the accuracy and the instantaneity of the thermal balance simulation calculation and the performance calculation in the real-time performance monitoring of the thermal power generating unit are improved.
Drawings
FIG. 1 is a schematic diagram of a thermodynamic system simulation-based turboset performance monitoring system according to an embodiment of the present invention.
FIG. 2 is a schematic diagram showing the arrangement of pressure measuring points of a certain stage group of the steam turbine and a regenerative steam extraction pipeline according to the present invention.
FIG. 3 shows the data hierarchy dividing and processing process of a certain stage of the turbine set according to the present invention.
FIG. 4 is a schematic flow chart of a method for monitoring performance of a turbine unit of a thermodynamic system according to an embodiment of the invention.
Description of element reference numerals
1. Turbine based on thermodynamic system simulation
Unit performance monitoring system
11. Thermodynamic system modeling module
12. Data preprocessing module
13. Online performance analysis module
14. Performance comparison module
15. Front end display module
S41 to S45 steps
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
The invention discloses a turboset performance monitoring system, a method and a terminal based on thermodynamic system simulation. The thermodynamic system modeling module is used for establishing a thermodynamic system simulation model of the unit, packaging each thermodynamic device into a designated configuration element based on a thermodynamic design simulation platform according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and establishing the thermodynamic system model through topological connection relations among the configuration elements; the data preprocessing module is used for establishing a data preprocessing model of each thermal measuring point according to the historical operation data, and performing redundancy processing and data reconstruction on the real-time operation data by using the model so as to acquire preprocessed operation data; the on-line performance analysis module is used for reading and analyzing the thermodynamic system model, and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model so as to calculate thermodynamic system simulation results and unit performance indexes; the performance comparison module is used for comparing the simulation result of the thermodynamic system and the performance index of the unit with the design characteristic data built in the thermodynamic system model to obtain operation deviation so as to guide the operation adjustment of the unit; meanwhile, a designer is guided to evaluate the actual field operation effect of the unit and feed back to the unit design work, and the closed loop of the operation side and the design side is realized.
Example 1
The embodiment provides a turboset performance monitoring system based on thermodynamic system simulation, which comprises:
the thermodynamic system modeling module is used for establishing a thermodynamic system simulation model of the unit, packaging each thermodynamic device into a designated configuration element based on a thermodynamic design simulation platform according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and establishing the thermodynamic system model through topological connection relations among the configuration elements;
the data preprocessing module is used for establishing a data preprocessing model of each thermal measuring point according to the historical operation data, and performing redundancy processing and data reconstruction on the real-time operation data by using the model so as to acquire preprocessed operation data;
the on-line performance analysis module is used for reading and analyzing the thermodynamic system model, and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model so as to calculate thermodynamic system simulation results and unit performance indexes;
the performance comparison module is used for comparing the simulation result of the thermodynamic system and the performance index of the unit with the design characteristic data built in the thermodynamic system model to obtain operation deviation so as to guide the operation adjustment of the unit; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device.
The turbine unit performance monitoring system of the thermodynamic system provided by the present embodiment will be described in detail with reference to the drawings. Referring to FIG. 1, a schematic diagram of a turboset performance monitoring system based on thermodynamic system simulation is shown in an embodiment. As shown in fig. 1, the turboset performance monitoring system 1 based on thermodynamic system simulation includes a thermodynamic system modeling module 11, a data preprocessing module 12, an online performance analysis module 13, a performance comparison module 14 and a front end display module 15.
The thermodynamic system modeling module 11 is used for building a thermodynamic system simulation model of the unit, packaging each thermodynamic device into a designated configuration element based on a thermodynamic design simulation platform according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and building the thermodynamic system model through topological connection relations among the configuration elements. Compared with the traditional code modeling, the thermodynamic system modeling module 11 has the advantages of high modeling speed, high solving convergence speed, high solving precision and the like.
Specifically, the built thermodynamic system model comprises a turbine body model, a feedwater regenerative heating system model, a shaft seal system model, a cold end system model, a boiler, a water spray cooling system model and a heating system model. The thermodynamic system structure based on the configuration elements according to the actual unit can be rapidly and accurately modeled. The turbine body models with different steam distribution modes can be constructed by using configuration elements such as valves, adjusting stages or pressure stages. The conventional feedwater regenerative heating system model can be constructed by using configuration elements such as a steam-water heat exchanger, a valve, a pipeline and the like, and the generalized regenerative system model for utilizing the flue gas waste heat can also be constructed by using components such as the steam-water heat exchanger and the like. Various shaft seal system models can be constructed by utilizing the shaft end steam seal configuration element. And the cold end system model of the water cooling unit or the air cooling unit can be constructed by utilizing the configuration elements such as the water cooling condenser or the air cooling condenser, the pump or the fan and the like. Meanwhile, structural design characteristic data of key equipment of the steam turbine unit are arranged in the configuration element, and the structural design characteristic data comprise steam turbine valve and through-flow structural data, structural data of a regenerative heater, shaft end steam seal structural data and condenser structural data.
The data preprocessing module 12 is configured to establish a data preprocessing model of each thermal measurement point according to the historical operation data, and perform redundancy processing and data reconstruction on the real-time operation data by using the model to obtain preprocessed operation data.
Specifically, the data preprocessing module 12 analyzes the correlation of the thermal parameters of the sensors arranged on each thermal device by using a mechanism or a data mining method based on the historical operation data of the unit, fits a data correlation model among thermal measuring points, and establishes a data preprocessing model of the sensors; the reconstruction value of the sensor is calculated on line and in real time by utilizing the built data preprocessing model, and is compared with the measured value of the sensor, so that the running state of each sensor is judged, the thermal parameters of the fault sensor are reconstructed for the unit heat balance simulation calculation, the redundant processing and the data reconstruction of the real-time running data are realized, the running data after the preprocessing are obtained,
more specifically, the data preprocessing module 12 divides the site measurement point into a redundant measurement point and a non-redundant measurement point according to the arrangement condition of the measurement point sensors, the redundant measurement point refers to that a plurality of sensors are arranged at the same measurement point, the measurement value of other measurement points is not needed, the unique value of the measurement parameter can be obtained by comparing the measurement values of the plurality of sensors, and the unique value is the correct measurement point measurement value, so that the redundant measurement point can realize the self-detection function. The non-redundant measuring point refers to a single sensor arranged at the same measuring point, and the accuracy of the measured value needs to be detected through correlation with other measured parameters. The data preprocessing module 12 performs the following steps of offline modeling:
Firstly, classifying all thermodynamic measuring points of a unit according to thermodynamic systems or thermodynamic equipment, and determining the thermodynamic systems or thermodynamic equipment to which each thermodynamic measuring point belongs;
secondly, according to the redundancy condition of the thermodynamic measurement points in each thermodynamic system, determining a basic measurement point of data preprocessing, setting the measurement point which is larger than or equal to the measurement point value of the same measurement point measured by the three sensors as the basic measurement point, and taking the measurement point value as basic data of a data preprocessing module;
thirdly, sorting pretreatment levels of non-redundant measuring points in the system according to the distribution of the basic measuring points in the thermodynamic system or the thermodynamic equipment and the mechanism relation between the non-redundant measuring points in the thermodynamic system or the thermodynamic equipment and the basic measuring points;
fourthly, selecting historical data of all thermal measuring points in a full-load section of the latest working time of the unit, removing fault data in the historical data, carrying out correlation analysis among thermal parameters, training and verifying mechanism relations among parameters in each level step by step based on historical operation data of the unit, and fitting a data correlation model of each non-redundant measuring point and a basic measuring point; the data correlation model of each non-redundant measuring point and the basic measuring point forms a data preprocessing model of the sensor.
The data preprocessing module 12 acquires real-time operation data of the unit by monitoring the operation of the thermodynamic system in real time; taking the real-time running data of the unit as the input of the data preprocessing model, calculating the reconstruction value of the sensor, and calculating the residual error between the reconstruction value and the measured value of the sensor to judge whether the sensor has faults or not; if so, replacing the measured value of the sensor with the reconstructed value of the sensor, taking the reconstructed value of the sensor as the input of the subsequent performance calculation to realize the on-line real-time calculation of the reconstructed value of the sensor, comparing the reconstructed value of the sensor with the measured value of the sensor, further judging the running state of each sensor, and reconstructing the thermal parameters of the fault sensor for the unit thermal balance simulation calculation.
The specific process of offline modeling of the data preprocessing module 12 is described in detail below by taking a turbine certain-stage set and a pressure measuring point of a regenerative extraction pipeline as an example. Referring to fig. 2, a schematic diagram of the arrangement of pressure measurement points of a certain stage group of a steam turbine and a regenerative extraction pipeline is shown. As shown in figure 2, the inlet of the stage group is provided with 3 pressure sensors, and 1 pressure sensor is respectively arranged in front of the steam extraction check valve and behind the electric valve on the regenerative steam extraction pipeline of the stage group. And layering the measuring points of the stage group and the regenerative steam extraction pipeline according to the correlation of the measuring points in the system, and establishing a correlation model.
The specific modeling process is as follows:
1) Determining a basic measuring point: the steam pressure of the inlet of the stage group is a redundant measuring point, the unique value of the steam pressure of the inlet of the stage group can be obtained by comparing the measured values of the sensors, and the unique value is regarded as an accurate measured value, so that the steam pressure of the inlet of the stage group is set as the first layer of the data preprocessing model.
2) And determining the correlation relation between the non-redundant measuring points and the basic measuring points: when the through-flow structural parameters of the stage group are unchanged, the inlet steam pressure of the stage group and the steam pressure before the steam extraction check valve meet the Friedel formula, and the steam pressure before the steam extraction check valve can be directly fitted by the inlet steam pressure of the stage group, so that the steam pressure before the steam extraction check valve is set as a second layer of the data preprocessing model. When the stage of regenerative heater is normally put into operation, the steam extraction check valve and the steam extraction electric door on the regenerative steam extraction pipeline are fully opened, so that a certain proportional relationship exists between the steam extraction pipeline edge Cheng Yasun and the steam pressure before the steam extraction check valve, a neural network model of the steam pressure before the check valve (namely the regenerative steam extraction pressure) and the steam pressure after the electric door (namely the steam inlet pressure of the regenerative heater) can be established, and the steam pressure after the steam extraction electric door is set as a third layer of the data preprocessing model.
3) Fitting a data correlation model: and selecting historical data of an inlet steam pressure measuring point, a steam pressure measuring point before a steam extraction check valve and a steam pressure measuring point after a steam extraction electric valve of the stage group under the full load section of the last year of the unit, removing fault data in the historical data, and fitting correlation models of parameters of all levels respectively. The stage group and the data hierarchy division and processing process of the measuring points of the regenerative steam extraction pipeline are shown in figure 3.
The online performance analysis module 13 is configured to read and analyze the thermodynamic system model, and assign the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relationship agreed in advance by the thermodynamic system model, so as to calculate a thermodynamic system simulation result and a unit performance index.
Specifically, the online performance analysis module 13 is used for solving a thermodynamic system simulation model, and the solving process combines structural design parameters of key equipment with real-time running data of the unit so as to improve the accuracy of a thermal balance simulation calculation result, and the unit performance monitoring analysis is performed by using a mechanism model based on the structural parameters of the equipment.
More specifically, the thermodynamic system simulation model of the online performance analysis module 13 is solved, and the solving process combines the structural design parameters of the key equipment with the real-time running data of the unit, including: solving the turbine body model, and calculating by using turbine through-flow structure data and operation thermodynamic data; the feedwater regenerative heating system carries out heat transfer calculation by utilizing structural data and operation thermodynamic data of a regenerative heater; the shaft seal system is solved to finish calculation of the steam leakage according to the steam seal form, steam seal structure data and the front-back pressure of the shaft end steam seal; and solving and combining the condenser structural parameters by the cold end system to perform heat exchange calculation.
In this embodiment, the online performance analysis module 13 is further configured to perform a performance index calculation of the steam turbine unit based on the thermal balance simulation calculation result, where the calculation of the performance index of the steam turbine unit includes calculating performance indexes of the steam turbine generator unit, such as a steam turbine heat consumption, a steam turbine cylinder efficiency, a heater temperature rise, a heater end difference, a condenser cleaning coefficient, and the like, respectively.
The performance index calculation of the turbine unit is based on ASME standard, and specifically comprises the following steps:
1) The calculation formula of the heat rate of the steam turbine is as follows:
wherein: q is the heat rate of the steam turbine, and the unit is kJ/kWh; g 0 、G fw 、G zr 、G lzr 、G gj 、G zj The main steam flow, the water supply flow, the reheat steam flow, the cold reheat steam flow, the overheat water spray flow and the reheat water spray flow are respectively in kg/h; h is a 0 、h fw 、h zr 、h lzr 、h gj 、h zj The unit is kJ/kg, which is the main steam enthalpy value, the feedwater enthalpy value, the reheat steam enthalpy value, the cold reheat steam enthalpy value, the superheat water injection enthalpy value and the reheat water injection enthalpy value respectively; pe is the unit electric load, and the unit is kW.
And for the cogeneration unit, the unit heat supply quantity is deducted according to a heat method to calculate the unit power generation heat consumption rate.
Q h ＝G h (h ex -h hs )
Wherein: q (Q) h The unit is kJ/h for heat supply; q e The unit is kJ/kWh for generating heat consumption rate; g h The unit is kg/h for heat supply flow; h is a ex 、h hs The unit is kJ/kg respectively the enthalpy value of heat supply steam extraction and the enthalpy value of water return (water supplement).
2) The calculation formula of the turbine cylinder efficiency is as follows:
wherein: h is a 1 、h 2 、h 2s The unit is kJ/kg, which is the inlet enthalpy value, the outlet enthalpy value and the outlet isentropic enthalpy of the cylinder respectively.
3) The calculation formula of the temperature rise of the heater is deltat=t w2 -t w1 。
Wherein: t is t w2 、t w1 The water temperature at the outlet of the heater and the water temperature at the inlet of the heater are respectively shown in the unit of DEG C.
4) The calculation formula of the upper end difference of the heater is δt=t s -t w2 。
Wherein: t is t s 、t w2 The saturated water temperature under the pressure of the heater and the outlet water temperature of the heater are respectively shown in the unit of DEG C.
5) The calculation formula of the lower end difference of the heater is θt=t drn -t w1 。
Wherein: t is t drn 、t w1 The water drainage temperature of the heater and the water temperature at the inlet of the heater are respectively shown in the units of the temperature.
6) The calculation formula of the end difference of the condenser is δt c ＝t sc -t 2 。
Wherein: t is t sc 、t 2 The temperature of the saturated temperature and the temperature of the circulating water outlet under the pressure of the condenser are respectively shown in the unit of DEG C.
7) The calculation formula of the cleaning coefficient of the condenser isAnd->
Wherein: beta c The cleaning coefficient of the condenser; k is the overall heat transfer coefficient of the condenser, and the unit is kW/(m) 2 ·K)；Q w The heat release amount of the condenser is kW; Δt (delta t) m The logarithmic average temperature difference is given in degrees celsius; a is that c The unit is m, which is the effective heat exchange area of the condenser 2 ；K 0 The basic heat transfer coefficient is obtained according to the outer diameter of the cooling water and the flow rate of the cooling water; beta t 、β m The temperature correction coefficients of the circulating water inlets are respectively obtained.
The performance comparison module 14 is configured to compare a thermodynamic system simulation result with design feature data built in the thermodynamic system model, and obtain an operation deviation to guide operation adjustment of a unit; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device. In this embodiment, if the optimization expectation still does not reach the design theoretical value, feedback is sent to the design side to assist in the iterative optimization of the design. And coupling the design characteristic data with the actual operation data to realize performance monitoring of the turbine unit, guiding a designer to evaluate the actual operation effect of the unit on site and feeding back the actual operation effect to the unit design work to form a closed loop for design and operation.
The front end display module 15 is used for displaying key operation parameters and performance indexes of the turbine unit.
It should be noted that, it should be understood that the division of the modules of the above system is merely a division of a logic function, and may be fully or partially integrated into a physical entity or may be physically separated. The modules can be realized in a form of calling the processing element through software, can be realized in a form of hardware, can be realized in a form of calling the processing element through part of the modules, and can be realized in a form of hardware. For example: the x module may be a processing element which is independently set up, or may be implemented in a chip integrated in the system. The x module may be stored in the memory of the system in the form of program codes, and the functions of the x module may be called and executed by a certain processing element of the system. The implementation of the other modules is similar. All or part of the modules can be integrated together or can be implemented independently. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in a software form. The above modules may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), one or more microprocessors (Digital Singnal Processor, DSP for short), one or more field programmable gate arrays (Field Programmable Gate Array, FPGA for short), and the like. When a module is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. These modules may be integrated together and implemented in the form of a System-on-a-chip (SOC) for short.
The turboset performance monitoring system based on thermodynamic system simulation realizes closed loops of a turboset design side and an operation side, embeds unit design characteristic parameters into a unit thermal balance simulation model, and feeds back the actual operation performance level of the unit to the design side to guide design iteration. And simultaneously, the accuracy and the instantaneity of the thermal balance simulation calculation and the performance calculation in the real-time performance monitoring of the thermal power generating unit are improved.
The embodiment also provides a turboset performance monitoring method based on thermodynamic system simulation, which comprises the following steps:
based on a thermodynamic design simulation platform, packaging each thermodynamic device into a designated configuration element according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and building a thermodynamic system model through topological connection relations among the configuration elements;
establishing a data preprocessing model of each thermal measuring point according to the historical operation data, and performing redundancy processing and data reconstruction on the real-time operation data by using the model to obtain preprocessed operation data;
reading and analyzing the thermodynamic system model, and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model so as to calculate a thermodynamic system simulation result;
Comparing the thermodynamic system simulation result with design feature data built in the thermodynamic system model to obtain operation deviation so as to guide the operation adjustment of the unit; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device.
The turbine unit performance monitoring method based on the thermodynamic system simulation provided in this embodiment will be described in detail with reference to the drawings. Referring to FIG. 4, a flow chart of a method for monitoring performance of a turbine set based on thermodynamic system simulation is shown in an embodiment. As shown in fig. 4, the method for monitoring the performance of the turboset based on thermodynamic system simulation specifically comprises the following steps:
s41, packaging the thermodynamic devices into designated configuration elements based on a thermodynamic design simulation platform according to the physical working mechanism of the thermodynamic devices, setting unit design characteristic data in the configuration elements, and building a thermodynamic system model through topological connection relations among the configuration elements. Compared with the traditional code modeling, the S41 has the advantages of high modeling speed, high solving convergence speed, high solving precision and the like.
Specifically, the built thermodynamic system model comprises a turbine body model, a feedwater regenerative heating system model, a shaft seal system model, a cold end system model, a boiler, a water spray cooling system model and a heating system model. The thermodynamic system structure based on the configuration elements according to the actual unit can be rapidly and accurately modeled. The turbine body models with different steam distribution modes can be constructed by using configuration elements such as valves, adjusting stages or pressure stages. The conventional feedwater regenerative heating system model can be constructed by using configuration elements such as a steam-water heat exchanger, a valve, a pipeline and the like, and the generalized regenerative system model for utilizing the flue gas waste heat can also be constructed by using components such as the steam-water heat exchanger and the like. Various shaft seal system models can be constructed by utilizing the shaft end steam seal configuration element. And a cold end system model of the water cooling unit or the air cooling unit can be constructed by utilizing the water cooling condenser or the air cooling condenser, the pump or the fan configuration element. Meanwhile, structural design characteristic data of key equipment of the steam turbine unit are arranged in the configuration element, and the structural design characteristic data comprise steam turbine valve and through-flow structural data, structural data of a regenerative heater, shaft end steam seal structural data and condenser structural data.
S42, establishing a data preprocessing model of each thermal measuring point according to the historical operation data, and performing redundancy processing and data reconstruction on the real-time operation data by using the model to acquire preprocessed operation data.
Specifically, the S42 includes: based on historical operation data of the unit, analyzing the correlation of thermal parameters of sensors arranged on each thermal device by using a mechanism or data mining method, fitting a data correlation model among thermal measuring points, and establishing a data preprocessing model of the sensors; the reconstruction value of the sensor is calculated on line and in real time by utilizing the built data preprocessing model, and is compared with the measured value of the sensor, so that the running state of each sensor is judged, the thermal parameters of the fault sensor are reconstructed for the unit heat balance simulation calculation, the redundant processing and the data reconstruction of the real-time running data are realized, the running data after the preprocessing are obtained,
more specifically, the S42 includes: according to the arrangement condition of the measuring point sensors, the field measuring points are divided into redundant measuring points and non-redundant measuring points, the redundant measuring points are arranged at the same measuring point, the unique value of the measuring parameter can be obtained by comparing the measuring values of the plurality of sensors without the measuring values of other measuring points, and the unique value is the correct measuring point measuring value, so that the redundant measuring points can realize the self-detection function. The non-redundant measuring point refers to a single sensor arranged at the same measuring point, and the accuracy of the measured value needs to be detected through correlation with other measured parameters.
The specific steps of the off-line modeling of the S42 are as follows:
firstly, classifying all thermodynamic measuring points of a unit according to thermodynamic systems or thermodynamic equipment, and determining the thermodynamic systems or thermodynamic equipment to which each thermodynamic measuring point belongs;
secondly, according to the redundancy condition of the thermodynamic measurement points in each thermodynamic system, determining a basic measurement point of data preprocessing, setting the measurement point which is larger than or equal to the measurement point value of the same measurement point measured by the three sensors as the basic measurement point, and taking the measurement point value as basic data of a data preprocessing module;
thirdly, sorting pretreatment levels of non-redundant measuring points in the system according to the distribution of the basic measuring points in the thermodynamic system or the thermodynamic equipment and the mechanism relation between the non-redundant measuring points in the thermodynamic system or the thermodynamic equipment and the basic measuring points;
fourthly, selecting historical data of all thermal measuring points in a full-load section of the latest working time of the unit, removing fault data in the historical data, carrying out correlation analysis among thermal parameters, training and verifying mechanism relations among parameters in each level step by step based on historical operation data of the unit, and fitting a data correlation model of each non-redundant measuring point and a basic measuring point; the data correlation model of each non-redundant measuring point and the basic measuring point forms a data preprocessing model of the sensor.
The S42 further comprises the step of acquiring real-time operation data of the unit when the thermodynamic system is monitored in real time; taking the real-time running data of the unit as the input of the data preprocessing model, calculating the reconstruction value of the sensor, and calculating the residual error between the reconstruction value and the measured value of the sensor to judge whether the sensor has faults or not; if so, replacing the measured value of the sensor with the reconstructed value of the sensor, taking the reconstructed value of the sensor as the input of the subsequent performance calculation to realize the on-line real-time calculation of the reconstructed value of the sensor, comparing the reconstructed value of the sensor with the measured value of the sensor, further judging the running state of each sensor, and reconstructing the thermal parameters of the fault sensor for the unit thermal balance simulation calculation.
S43, reading and analyzing the thermodynamic system model, assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model, combining structural design parameters of key devices with real-time operation data of the unit to perform model solving so as to improve accuracy of a thermal balance simulation calculation result, and performing unit thermal balance simulation calculation by using a mechanism model based on the structural parameters of the devices.
More specifically, the step of combining the structural design parameters of the key device with the real-time operation data of the unit in S43 includes: solving the turbine body model, and calculating by using turbine through-flow structure data and operation thermodynamic data; the feedwater regenerative heating system carries out heat transfer calculation by utilizing structural data and operation thermodynamic data of a regenerative heater; the shaft seal system is solved to finish calculation of the steam leakage according to the steam seal form, steam seal structure data and the front-back pressure of the shaft end steam seal; and solving and combining the condenser structural parameters by the cold end system to perform heat exchange calculation.
In this embodiment, the step S43 further includes calculating a performance index of the steam turbine unit based on the thermal balance simulation calculation result, where the calculating of the performance index of the steam turbine unit includes calculating performance indexes of the steam turbine generator unit, such as a heat consumption of the steam turbine, a steam turbine cylinder efficiency, a temperature rise of the heater, a difference in end of the condenser, a cleaning coefficient of the condenser, and the like, respectively.
S44, displaying key operation parameters and performance indexes of the turbine unit.
S45, comparing a thermodynamic system simulation result with design feature data built in the thermodynamic system model to obtain operation deviation so as to guide the operation adjustment of the unit; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device. In this embodiment, if the optimization expectation still does not reach the design theoretical value, feedback is sent to the design side to assist in the design iterative optimization. And coupling the design characteristic data with the actual operation data to realize performance monitoring of the turbine unit, guiding a designer to evaluate the actual operation effect of the unit on site and feeding back the actual operation effect to the unit design work to form a closed loop for design and operation.
The present embodiment further provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the method as described in fig. 4.
The present application may be a system, method and/or computer program product at any possible level of technical details. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device. Computer program instructions for carrying out operations of the present application may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, integrated circuit configuration data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and a procedural programming language such as the "C" language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present application are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.
Example two
The embodiment provides a turboset performance monitoring terminal based on thermodynamic system simulation, which comprises: a processor, memory, transceiver, communication interface, or/and system bus; the memory and the communication interface are connected with the processor and the transceiver through the system bus and complete communication with each other, the memory is used for storing a computer program, the communication interface is used for communicating with other equipment, and the processor and the transceiver are used for running the computer program so that the turboset performance monitoring terminal based on the thermodynamic system simulation can execute the steps of the turboset performance monitoring method of the thermodynamic system.
The system bus mentioned above may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The system bus may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other devices (such as a client, a read-write library and a read-only library). The memory may comprise random access memory (Random Access Memory, RAM) and may also comprise non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field programmable gate arrays (Field Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
The protection scope of the turboset performance monitoring method based on thermodynamic system simulation is not limited to the execution sequence of the steps listed in the embodiment, and all the schemes of step increase and decrease and step replacement in the prior art according to the principles of the present invention are included in the protection scope of the present invention.
The invention also provides a turboset performance monitoring system based on thermodynamic system simulation, which can realize the turboset performance monitoring method based on thermodynamic system simulation, but the realization device of the turboset performance monitoring method based on thermodynamic system simulation comprises, but is not limited to, the structure of the turboset performance monitoring system based on thermodynamic system simulation listed in the embodiment, and all structural deformation and replacement of the prior art according to the principles of the invention are included in the protection scope of the invention.
In summary, the turboset performance monitoring system, method and terminal based on thermodynamic system simulation realize closed loop of the turboset design side and the operation side, embed the unit design characteristic parameters in the unit thermal balance simulation model, and feed back the actual operation performance level of the unit to the design side to guide design iteration. And simultaneously, the accuracy and the instantaneity of the thermal balance simulation calculation and the performance calculation in the real-time performance monitoring of the thermal power generating unit are improved. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (10)
1. A turboset performance monitoring system based on thermodynamic system simulation, comprising:
the thermodynamic system modeling module is used for packaging each thermodynamic device into a designated configuration element based on a thermodynamic design simulation platform according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and building a thermodynamic system model through topological connection relations among the configuration elements;
The data preprocessing module is used for establishing a data preprocessing model of each thermal measuring point according to the historical operation data, and performing redundancy processing and data reconstruction on the real-time operation data by using the model so as to acquire preprocessed operation data;
the on-line performance analysis module is used for reading and analyzing the thermodynamic system model, and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model so as to calculate thermodynamic system simulation results and unit performance indexes;
the performance comparison module is used for comparing the simulation result of the thermodynamic system and the performance index of the unit with the design characteristic data built in the thermodynamic system model to obtain operation deviation so as to guide the operation adjustment of the unit; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device.
2. A turbine unit performance monitoring method based on thermodynamic system simulation is characterized by comprising the following steps:
based on a thermodynamic design simulation platform, packaging each thermodynamic device into a designated configuration element according to a physical working mechanism of each thermodynamic device, setting unit design characteristic data in the configuration elements, and building a thermodynamic system model through topological connection relations among the configuration elements;
Establishing a data preprocessing model based on the historical operation data of the unit, and performing redundancy processing and data reconstruction on the real-time operation data by using the established preprocessing model to acquire preprocessed operation data;
reading and analyzing the thermodynamic system model, and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model so as to calculate thermodynamic system simulation results and unit performance indexes;
comparing the thermodynamic system simulation result and the unit performance index with design characteristic data built in the thermodynamic system model to obtain operation deviation so as to guide the unit operation adjustment; the thermodynamic system simulation results include at least one attribute parameter of the thermodynamic device.
3. The thermodynamic system simulation-based turbine unit performance monitoring method according to claim 2, wherein the constructed thermodynamic system model comprises a turbine body model, a feedwater regenerative heating system model, a shaft seal system model, a cold end system model, a boiler, a water spray attemperation system model and a heating system model.
4. The thermodynamic system simulation-based turbine unit performance monitoring method according to claim 2, wherein a data preprocessing model of each thermodynamic measurement point is established according to historical operation data, and the model is used for performing redundancy processing and data reconstruction on real-time operation data to obtain preprocessed operation data, and the method comprises the steps of:
Based on historical operation data of the unit, analyzing the correlation of thermal parameters of sensors arranged on each thermal device by using a mechanism or data mining method, fitting a data correlation model among thermal measuring points, and establishing a data preprocessing model of the sensors;
and calculating the reconstruction value of the sensor on line in real time by using the built data preprocessing model, comparing the reconstruction value with the measured value of the sensor, judging the running state of each sensor, and reconstructing the thermal parameters of the fault sensor for unit thermal balance simulation calculation.
5. The thermodynamic system simulation-based turbine unit performance monitoring method of claim 4, wherein the step of modeling the data preprocessing of the sensor includes:
classifying all the thermodynamic measuring points of the unit according to thermodynamic systems or thermodynamic equipment, and determining the thermodynamic systems or thermodynamic equipment to which each thermodynamic measuring point belongs;
according to the redundancy condition of the thermodynamic measurement points in each thermodynamic system, determining a basic measurement point of data preprocessing, setting the measurement point which is larger than or equal to the measurement point value of the same measurement point measured by three sensors as the basic measurement point, and taking the measurement point value as the basic data of a data preprocessing module;
according to the distribution of the basic measuring points in the thermodynamic system or the thermodynamic equipment and the mechanism relation between the non-redundant measuring points in the thermodynamic system or the thermodynamic equipment and the basic measuring points, the non-redundant measuring points in the system are subjected to pretreatment level sequencing;
Selecting historical data of all thermal measuring points in a full-load section of the latest working time of the unit, removing fault data in the historical data, carrying out correlation analysis among thermal parameters, training and verifying mechanism relations among parameters in each level step by step based on historical operation data of the unit, and fitting a data correlation model of each non-redundant measuring point and a basic measuring point; the data correlation model of each non-redundant measuring point and the basic measuring point forms a data preprocessing model of the sensor.
6. The thermodynamic system simulation-based turbine unit performance monitoring method according to claim 5, wherein the steps of calculating the reconstruction value of the sensor on line in real time, comparing the reconstruction value with the measured value of the sensor, further judging the operation state of each sensor, reconstructing the thermodynamic parameters of the fault sensor for unit heat balance simulation calculation include:
when the thermodynamic system is monitored in real time to run, real-time running data of the unit are obtained;
taking the real-time running data of the unit as the input of the data preprocessing model, calculating the reconstruction value of the sensor, and calculating the residual error between the reconstruction value and the measured value of the sensor to judge whether the sensor has faults or not; if yes, the reconstruction value of the sensor is used for replacing the measured value of the sensor which has failed, and the reconstruction value of the sensor is used as the input of the subsequent thermal balance simulation calculation.
7. A thermodynamic system simulation based turbine unit performance monitoring method according to claim 5 wherein,
and assigning the preprocessed operation data to a physical equation set of each thermodynamic device according to a data mapping relation agreed in advance by the thermodynamic system model, solving the physical equation set by adopting a nonlinear equation set solver so as to complete the system heat balance simulation calculation, and taking a simulation calculation result as the input of the subsequent performance index calculation.
8. A thermodynamic system simulation based turbine unit performance monitoring method according to claim 7 wherein,
the thermodynamic system simulation model solving process combines structural design parameters of key equipment with real-time operation data of the unit, and the unit performance monitoring analysis is carried out by utilizing a mechanism model based on the structural parameters of the equipment.
9. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the thermodynamic system simulation based turbine unit performance monitoring method of any one of claims 2 to 8.
10. A turboset performance monitoring terminal based on thermodynamic system simulation, comprising: a processor and a memory;
The memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory, so that the turboset performance monitoring terminal based on the thermodynamic system real-time simulation executes the turboset performance monitoring method based on the thermodynamic system simulation according to any one of claims 2 to 8.
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