CN114609926A - Thermal power plant dynamic online simulation method based on thermal power simulation platform - Google Patents

Thermal power plant dynamic online simulation method based on thermal power simulation platform Download PDF

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CN114609926A
CN114609926A CN202210163359.5A CN202210163359A CN114609926A CN 114609926 A CN114609926 A CN 114609926A CN 202210163359 A CN202210163359 A CN 202210163359A CN 114609926 A CN114609926 A CN 114609926A
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thermal power
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CN114609926B (en
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郭滔
韩华锋
于海洋
吴崛起
马玉娟
郭东霞
杨贺强
陈允轩
王继华
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Beijing Sifang Automation Co Ltd
Guoneng Zheneng Ningdong Power Generation Co ltd
Beijing Sifang Engineering Co Ltd
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Beijing Sifang Automation Co Ltd
Guoneng Zheneng Ningdong Power Generation Co ltd
Beijing Sifang Engineering Co Ltd
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    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract

The application discloses a thermal power plant dynamic online simulation method based on a thermal power simulation platform, which comprises the following steps: establishing a mathematical simulation model of a simulation system in a thermal power simulation platform, and debugging and perfecting the simulation model; arranging a DCS database point table of the unit, and compiling a communication interface program to realize data sharing; establishing a simulation model back calculation function module, reversely importing data of a certain section in a DCS database into a simulation model, and carrying out dynamic online back calculation on the simulation model to ensure that the calculation is converged and stable, so as to form an initial working condition of the simulation system; and (4) operating the simulation system under the initial working condition, comparing the simulation parameters with the actual unit operation process parameters, and finishing dynamic online simulation display. The invention can realize effective combination of the simulation system and the actual unit operation data, so that the simulation system can directly acquire the operation state and the operation data parameters of the actual unit on site, and can perform simulation calculation, analysis and early warning on the current state in time.

Description

Thermal power plant dynamic online simulation method based on thermal power simulation platform
Technical Field
The invention belongs to the technical field of thermal power plant simulation training, and relates to a thermal power plant dynamic online simulation method based on a thermal power simulation platform.
Background
At present, along with the proposition of energy internet, some big power generation enterprises in China have successively released the wisdom power plant, consequently construct energy-efficient, green, the comfortable wisdom power plant demand of environment more urgent on digital power plant's basis.
The dynamic online simulation technology of the thermal power plant applies advanced power plant simulation and analysis technology, provides simulation technical support for operation online monitoring, economic calculation and fault diagnosis of the power plant, and improves analysis capability of the operation mechanism of the generator set. Through synchronous operation with the actual unit, real-time data acquisition and historical operation process replay, richer basis can be provided for improvement of the safe operation level of the power plant, unit performance analysis and verification of a control scheme.
Disclosure of Invention
In order to overcome the defects in the prior art, the application provides a thermal power plant dynamic online simulation method based on a thermal power simulation platform, which can realize effective combination of a simulation system and actual unit operation data, so that the simulation system can directly acquire the operation state and operation data parameters of an actual unit on site, perform simulation calculation, analysis and early warning on the current state in time, and provide online and intelligent auxiliary information for safe and economic operation of a power plant.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a thermal power plant dynamic online simulation method based on a thermal power simulation platform comprises the following steps:
step 1: establishing a mathematical simulation model of a simulation system in a thermal power simulation platform based on thermodynamic characteristics and equipment characteristics of a thermal power system of a simulation object unit, preliminarily simulating the operation process and characteristics of an actual unit, and debugging and perfecting the simulation model;
and 2, step: according to the requirements of the simulation cases, arranging a set DCS database point table, and compiling a communication interface program for reading and storing data in a DCS database;
and step 3: establishing a simulation model back calculation function module in the built simulation system, reversely importing data of a certain section in a DCS database into the simulation model, and carrying out dynamic online back calculation on the simulation model to ensure that the calculation is converged and stable, so as to form an initial working condition of the simulation system;
and 4, step 4: and (4) operating the simulation system under the initial working condition, comparing the simulation parameters with the actual unit operation process parameters, and finishing dynamic online simulation display.
The invention further comprises the following preferred embodiments:
preferably, step 1 specifically comprises:
step 1.1: collecting technical data of the unit equipment of the simulation object, analyzing and sorting the equipment data to form a primary modeling scheme;
step 1.2: calculating and determining thermodynamic characteristic parameters of each device of the unit according to a mass conservation and energy conservation balance equation, building a mathematical simulation model of each unit system according to a flow chart of the unit system, and performing model point-to-point connection between the unit systems;
step 1.3: arranging a simulation platform database, configuring the database according to the type of the data point, and carrying out data point alignment with the simulation model;
step 1.4: and performing system starting operation debugging on the simulation system, and perfecting the mathematical model according to the actual unit operation parameters, so that the operation characteristics of the simulation system are matched with the operation characteristics of the actual unit.
Preferably, in step 1.1, the technical data of the unit equipment includes a specification of the unit equipment, summary of thermodynamic calculation data of the boiler, a specification of thermodynamic characteristics of the steam turbine, an operation rule of the unit equipment, and a system flow document.
Preferably, in step 1.3, the simulation platform database adopts an SQLserver database, and four types of databases, namely SCT _ AI, SCT _ AO, SCT _ DI, and SCT _ DO, are configured according to the type of the data point.
Preferably, in step 2, the AO and DO in the DCS database are sorted out to form SISAO and SISDO point tables, which are stored in the relevant directory of the simulation platform.
Preferably, in step 2, developing a data communication interface based on the thermal power simulation platform, wherein the data communication interface comprises a DCS end data communication interface and a simulation end data communication interface, and the data communication interfaces are respectively used for writing and reading data of the unit DCS database;
the DCS end and the simulation end data communication interfaces share the memory, the DCS end data communication interfaces are responsible for writing history data, and the simulation end data communication interfaces are responsible for reading the history data and storing the read data.
Preferably, in step 3, the initial working condition forming process of the simulation system is a unit DCS database section parameter data reverse model parameter data recovery process, which specifically includes:
and restoring certain section data in the DCS database of the unit into the initial operating condition of the operation of the simulation system, so that the initial operating condition parameters of the operation of the simulation system are consistent with the data of certain section parameters of the actual unit.
Preferably, in step 3, a simulation model back-calculation function module is established in the established simulation system, and is used for performing dynamic online back calculation on the simulation model to make the calculation thereof convergent and stable, that is, for the simulation model, the back calculation correction of the performance parameters of the model equipment is realized through a certain section data of the imported DCS database, so that the simulation model can more truly reflect the operation characteristics of the real equipment of the unit, and the implementation steps are as follows:
1) establishing a simulation model back calculation function module in the established simulation system: respectively finding a mathematical model of corresponding equipment in a simulation system according to each historical data transmitted from a DCS database, compiling and externally hanging a reverse back calculation function algorithm of the corresponding equipment, operating a back calculation equipment characteristic parameter by taking the data transmitted from the DCS database as a boundary parameter of the corresponding equipment, and solidifying the back calculation equipment characteristic parameter in a coefficient of the mathematical model of the equipment;
2) setting the operation rule of the model back calculation function module: the back calculation function module of the equipment is required to be in a frozen state when the simulation system normally operates, and can be unfrozen to participate in the correction calculation of the simulation model only when the back calculation function of the model is triggered;
3) setting an error interval between an equipment model calculation parameter and a corresponding equipment parameter in a unit DCS database in a simulation system platform database;
4) and establishing a model parameter calculation convergence and stability judgment and display module for reading the DCS database parameters of the unit and the database data of the simulation system in real time, displaying error intervals of all parameters, and performing model parameter calculation convergence and stability judgment and display based on the error intervals.
Preferably, the simulation model back-calculation function module is controlled by an online simulation controller, after the section data in the DCS database is imported, the controller interface is clicked to start back calculation, the online back calculation of the simulation system is performed, and after the controller interface prompts all convergence and all OK of parameter evaluation, the back calculation is ended.
Preferably, the method further comprises: and 5: and analyzing the running state of the unit, and predicting the actual running state of the unit in advance.
The beneficial effect that this application reached:
compared with the traditional training simulation, the thermal power plant dynamic online simulation technology based on the thermal power simulation platform is characterized in that the implementation process of the implementation method of the thermal power plant dynamic online simulation technology based on the thermal power simulation platform is summarized in detail, in the thermal power simulation development platform, the simulation object unit thermal system mathematical simulation model and the compiling communication interface are built, the effective connection of the simulation system and the simulated object actual unit operation data is realized, and the thermal power plant DCS system and the thermal power simulation development platform share data, so that the simulation system can directly acquire the operation state and the operation action of the field unit equipment;
the method comprises the steps of reading section parameter data in a DCS database of a unit, restoring historical data of a certain section into an initial working condition of a simulation system, and forming stable and convergent initial working condition data of the simulation system;
the simulation system is operated under the initial working condition, and is compared with the parameters of the actual unit operation process, dynamic online simulation display is completed, the unit operation state is analyzed and early warned in time, online and intelligent auxiliary information is provided for the safe and economic operation of the thermal power plant, and richer basis is provided for the improvement of the safe operation level of the thermal power plant, the unit performance analysis and the verification of a control scheme.
Drawings
FIG. 1 is a flow chart of a thermal power plant dynamic online simulation method based on a thermal power simulation platform according to the present invention;
FIG. 2 is an implementation schematic diagram of a thermal power plant dynamic online simulation method based on a thermal power simulation platform according to the invention;
FIG. 3 is a schematic diagram of an interface of an online simulation controller according to an embodiment of the present invention.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
As shown in fig. 1-2, the thermal power plant dynamic online simulation method based on the thermal power simulation platform of the present invention specifically includes the following steps:
step 1: and establishing a mathematical simulation model based on thermodynamic characteristics and equipment characteristics of the thermal power system of the simulation object. The operation characteristics of the actual unit can be preliminarily simulated through the simulation model, and the simulation model is debugged and perfected.
The simulation object shown in the embodiment is a 1000MW generator set thermodynamic system of a certain thermal power plant, boiler thermodynamic calculation data summarization of unit equipment and a steam turbine thermodynamic characteristic book are used as bases, and a set of simulation system matched with the operation characteristics of an actual unit is built on the basis of a simulation platform.
The steps of building the simulation system are as follows:
step 1.1: the technical data collection of the simulation object unit equipment comprises a unit equipment specification, boiler thermodynamic calculation data summarization, a steam turbine thermodynamic characteristic book, unit equipment operation rules, system flows and other documents, and the equipment data are analyzed and sorted to form a primary modeling scheme of each system.
Step 1.2: and calculating and determining the thermal characteristic parameters of each device of the unit according to a mass conservation and energy conservation balance equation, and building a mathematical simulation model of each system according to a flow chart of the unit system and performing model-to-point connection among the systems.
Step 1.3: and sorting the simulation platform database, configuring four databases of SCT _ AI, SCT _ AO, SCT _ DI and SCT _ DO according to the type of the data point, and carrying out data point alignment with the simulation model.
SCT _ AI, SCT _ AO, SCT _ DI and SCT _ DO are respectively simulation model side database point tables, and numerical value transmission between simulation model side variables and external data can be realized through the database point tables.
SCT _ AI: inputting simulation model side analog quantity into a database point table;
SCT _ AO: the simulation model side analog quantity output database point table;
SCT _ DI: inputting a simulation model side digital quantity into a database point table;
SCT _ DO: and inputting the side digital quantity of the simulation model into a database point table.
Step 1.4: step 1.3, after the simulation system mathematical model is built, starting, running and debugging the system, and perfecting the mathematical model according to the actual unit running parameters, so that the running characteristics of the simulation system are matched with the running characteristics of the actual unit.
Step 2: according to the requirements of simulation cases, the point tables of the unit DCS database are arranged, and a data communication interface program is compiled, so that the simulation platform database can perform data transmission (unidirectional transmission from the DCS database to the simulation platform database) with the unit DCS database, the simulation platform database adopts an SQLserver database, the reading and storage functions of unit DCS historical data can be realized, data sharing and load balance of operation are realized, and real-time data processing is performed.
In the specific implementation, 1) the point tables of the DCS database are sorted, and because the data from the DCS database to the simulation platform database is transmitted in a single direction, only the AO and the DO of the DCS database are sorted out to form the SISAO and SISDO point tables which are stored in the related directory of the simulation platform.
SISAO and SISDO are DCS side database point tables, and the numerical value transmission between DCS side variables and simulation model data can be realized through the database point tables.
SISAO: inputting the DCS side analog quantity into a database point table;
SISDO: inputting digital quantity at DCS side into a database point table;
2) developing a data communication interface based on a thermal power simulation platform, wherein the data communication interface comprises a DCS end data communication interface and a simulation end data communication interface which are respectively used for writing and reading data of a unit DCS database;
the DCS end and the simulation end data communication interfaces share the memory, the DCS end data communication interfaces are responsible for writing history data, and the simulation end data communication interfaces are responsible for reading the history data and storing the read data;
the simulation end data communication interface is connected with the interfaces of other modules of dynamic online calculation as the internal memory of the module, and no external interface exists; the data space of the simulation end data communication interface is resident in the memory and is designed to be in a shared memory mode.
And step 3: establishing a simulation model back calculation function module in the built simulation system, reversely importing data of a certain section in a DCS database into the simulation model, and carrying out dynamic online back calculation on the simulation model to ensure that the calculation is converged and stable, so as to form an initial working condition of the simulation system;
the initial working condition forming process of the simulation system is a unit DCS database section parameter data reverse model parameter data recovery process, and specifically comprises the following steps:
and restoring certain section data in the DCS database of the unit into the initial operating condition of the operation of the simulation system, so that the initial operating condition parameters of the operation of the simulation system are consistent with the data of certain section parameters of the actual unit.
Firstly, a simulation model back calculation function module is required to be established in a built simulation system and used for carrying out dynamic online back calculation on a simulation model to enable the simulation model to be converged and stabilized in calculation, namely, aiming at the simulation model, back calculation correction on performance parameters of model equipment is realized through imported data of a certain section of a DCS database, so that the simulation model can reflect the operation characteristics of real equipment of a unit more truly, and the implementation steps are as follows:
1) establishing a simulation model back calculation function module in the established simulation system: aiming at each historical data (such as temperature, pressure, flow and other parameters) transmitted from the DCS database, a mathematical model of the corresponding equipment is respectively found in the simulation system, a reverse back calculation function algorithm is compiled and externally hung, the data transmitted from the DCS database are used as boundary parameters of the corresponding equipment, the back calculation equipment characteristic parameters are operated and solidified in the coefficients of the mathematical model of the equipment.
The simulation model back-calculation function module is controlled by an online simulation controller, after the section data in the DCS database is imported, the interface of the controller is clicked to start back calculation, the online back calculation of the simulation system is carried out, and after the interface of the controller prompts all convergence and all OK of parameter evaluation, the back calculation is finished.
2) Setting the operation rule of the model back calculation function module: the back calculation function module of the equipment is required to be in a frozen state when the simulation system normally operates, and can only be unfrozen to participate in the correction calculation of the simulation model when the back calculation function of the model is triggered;
3) setting an error interval (namely fault tolerance) between the calculation parameters of the equipment model and the corresponding equipment parameters in the DCS database of the unit in the platform database of the simulation system, wherein the error interval is used for ensuring the calculation accuracy of the model parameters and improving the iterative calculation efficiency of the simulation model;
4) establishing a model parameter calculation convergence and stability judgment and display module (see fig. 2), wherein the module can read the DCS database parameters of the unit and the database data of the simulation system in real time, simultaneously display the error intervals (namely the fault tolerance) of each parameter set in the step 3), and perform the judgment and display of the model parameter calculation convergence and stability based on the error intervals:
when the back-calculated initial working condition parameters are within a set error range compared with corresponding DCS database parameters and the calculation is converged and the operation is stable, a convergence state appears below the module interface, and the back-calculation word prompt is finished;
otherwise, the module interface has character prompting of 'in back calculation, not convergence', and at the moment, the back calculation function module carries out the back calculation process of the simulation model again.
The implementation process is exemplified as follows:
a. reading section data at a certain moment in a DCS database through a simulation platform communication program interface;
b. converting the section data into a SLC format file which can be read by a simulation model through a platform program;
c. the SLC format file is imported into the simulation model, the back calculation function module is started, the back calculation function module interface has character prompt of 'in back calculation and not convergence', and the on-line simulation dynamic controller is shown in figure 3.
d. When the fault tolerance (namely the error interval) between the calculated model data and the steady-state data (namely the section data at a certain moment in the DCS database) is within the required range, the parameter calculation is converged (evaluated as OK);
e. when all the parameters are calculated and converged, the simulation back calculation function model is integrally converged; at the moment, a convergence state appears below the module interface, and word sample prompt of inverse calculation is ended; otherwise, the module interface has character prompting of 'in back calculation, not convergence', and at the moment, the back calculation function module carries out the back calculation process of the simulation model again.
And 4, step 4: the simulation system is operated under the initial working condition, the simulation parameters are compared with the actual unit operation process parameters, the dynamic online simulation display is completed, and the operation steps are as follows:
starting a thermal power simulation platform, loading a simulation system model and operating;
starting an online simulation controller, importing section data in a DCS database, clicking 'start back calculation', performing online back calculation of a simulation system, and finishing back calculation after a controller interface prompts all convergence and all 'OK' parameter evaluation.
And at the moment, the initial working condition of the operation of the simulation system is consistent with the DCS section data, the simulation system is operated under the working condition and is compared with the parameters of the actual unit operation process, and the realization of the dynamic online simulation technology is completed.
And 5: and analyzing and early warning the running state of the unit, and predicting the actual running state of the unit in advance.
Compared with the traditional training simulation, the thermal power plant dynamic online simulation technology based on the thermal power simulation platform is characterized in that the implementation process of the implementation method of the thermal power plant dynamic online simulation technology based on the thermal power simulation platform is summarized in detail, in the thermal power simulation development platform, the simulation object unit thermal system mathematical simulation model and the compiling communication interface are built, the effective connection of the simulation system and the simulated object actual unit operation data is realized, and the thermal power plant DCS system and the thermal power simulation development platform share data, so that the simulation system can directly acquire the operation state and the operation action of the field unit equipment;
the method comprises the steps of reading section parameter data in a DCS database of a unit, restoring historical data of a certain section into an initial working condition of a simulation system, and forming stable and convergent initial working condition data of the simulation system;
the simulation system is operated under the initial working condition, and is compared with the parameters of the actual unit operation process, dynamic online simulation display is completed, the unit operation state is analyzed and early warned in time, online and intelligent auxiliary information is provided for the safe and economic operation of the thermal power plant, and richer basis is provided for the improvement of the safe operation level of the thermal power plant, the unit performance analysis and the verification of a control scheme.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.

Claims (10)

1. A thermal power plant dynamic online simulation method based on a thermal power simulation platform is characterized by comprising the following steps:
the method comprises the following steps:
step 1: establishing a mathematical simulation model of a simulation system in a thermal power simulation platform based on thermodynamic characteristics and equipment characteristics of a thermal power system of a simulation object unit, preliminarily simulating the operation process and characteristics of an actual unit, and debugging and perfecting the simulation model;
step 2: according to the requirements of the simulation cases, arranging a set DCS database point table, and compiling a communication interface program for reading and storing data in a DCS database;
and 3, step 3: establishing a simulation model back calculation function module in the built simulation system, reversely importing data in a DCS (distributed control system) database into the simulation model, and performing dynamic online back calculation on the simulation model to ensure that the calculation is converged and stabilized to form an initial working condition of the simulation system;
and 4, step 4: and (4) operating the simulation system under the initial working condition, comparing the simulation parameters with the actual unit operation process parameters, and finishing dynamic online simulation display.
2. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 1, characterized in that:
the step 1 specifically comprises the following steps:
step 1.1: collecting technical data of the unit equipment of the simulation object, analyzing and sorting the equipment data to form a primary modeling scheme;
step 1.2: calculating and determining thermodynamic characteristic parameters of each device of the unit according to a mass conservation and energy conservation balance equation, building a mathematical simulation model of each unit system according to a flow chart of the unit system, and performing model point-to-point connection between the unit systems;
step 1.3: arranging a simulation platform database, configuring the database according to the type of the data point, and carrying out data point alignment with the simulation model;
step 1.4: and performing system starting operation debugging on the simulation system, and perfecting the mathematical simulation model according to the actual unit operation parameters, so that the operation characteristics of the simulation system are matched with the operation characteristics of the actual unit.
3. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 2, characterized in that:
in step 1.1, the technical data of the unit equipment comprises a unit equipment specification, boiler thermodynamic calculation data summarization, a steam turbine thermodynamic characteristic book, a unit equipment operation rule and a system flow document.
4. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 2, characterized in that:
in step 1.3, the simulation platform database adopts an SQLserver database, and four databases of SCT _ AI, SCT _ AO, SCT _ DI and SCT _ DO are configured according to the type of the data point.
5. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 1, characterized in that:
in step 2, the AO and the DO of the DCS database are sorted out to form SISAO and SISDO point tables which are stored in a related directory of the simulation platform.
6. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 1, characterized in that:
in step 2, developing a data communication interface based on a thermal power simulation platform, wherein the data communication interface comprises a DCS end data communication interface and a simulation end data communication interface, and the data communication interfaces are respectively used for writing and reading data of a unit DCS database;
the DCS end and the simulation end data communication interfaces share the memory, the DCS end data communication interfaces are responsible for writing history data, and the simulation end data communication interfaces are responsible for reading the history data and storing the read data.
7. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 1, characterized in that:
in step 3, the initial working condition forming process of the simulation system is a unit DCS database section parameter data reverse model parameter data recovery process, and specifically comprises the following steps:
and restoring certain section data in the DCS database of the unit into the initial operating condition of the operation of the simulation system, so that the initial operating condition parameters of the operation of the simulation system are consistent with the data of certain section parameters of the actual unit.
8. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 1 or 7, characterized in that:
in step 3, a simulation model back calculation function module is established in the established simulation system, and is used for performing dynamic online back calculation on the simulation model to enable the simulation model to be converged and stabilized in calculation, namely, for the simulation model, back calculation correction is performed on performance parameters of model equipment through imported data of a certain section of a DCS database, so that the simulation model can reflect the operation characteristics of real equipment of the unit more truly, and the implementation steps are as follows:
1) establishing a simulation model inverse calculation function module in the built simulation system: respectively finding a mathematical model of corresponding equipment in a simulation system according to each historical data transmitted from a DCS database, compiling and externally hanging a reverse back calculation function algorithm of the corresponding equipment, operating a back calculation equipment characteristic parameter by taking the data transmitted from the DCS database as a boundary parameter of the corresponding equipment, and solidifying the back calculation equipment characteristic parameter in a coefficient of the mathematical model of the equipment;
2) setting the operation rule of the model back calculation function module: the back calculation function module of the equipment is required to be in a frozen state when the simulation system normally operates, and can only be unfrozen to participate in the correction calculation of the simulation model when the back calculation function of the model is triggered;
3) setting an error interval between a device model calculation parameter and a corresponding device parameter in a unit DCS database in a simulation system platform database;
4) and establishing a model parameter calculation convergence and stability judgment and display module for reading the DCS database parameters of the unit and the database data of the simulation system in real time, displaying error intervals of the parameters, and judging and displaying the calculation convergence and stability of the model parameters based on the error intervals.
9. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 8, characterized in that:
the simulation model back-calculation function module is controlled by an online simulation controller, after the section data in the DCS database is imported, the interface of the controller is clicked to start back calculation, the online back calculation of the simulation system is carried out, and after the interface of the controller prompts all convergence and all OK of parameter evaluation, the back calculation is finished.
10. The thermal power plant dynamic online simulation method based on the thermal power simulation platform according to claim 1, characterized in that:
the method further comprises the following steps: and 5: and analyzing the running state of the unit, and predicting the actual running state of the unit in advance.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116522696A (en) * 2023-07-05 2023-08-01 西安高压电器研究院股份有限公司 Simulation method and device of capacity test loop, electronic equipment and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101154213A (en) * 2006-09-27 2008-04-02 上海电气集团股份有限公司 Simulation platform of macrotype power station integrated automation system
CN103412784A (en) * 2013-08-23 2013-11-27 东南大学 Virtual control integration method for large thermal power generating unit thermodynamic calculation model
CN104462730A (en) * 2014-12-31 2015-03-25 广东电网有限责任公司电力科学研究院 Online simulation system and method for power plant
CN105512388A (en) * 2015-12-04 2016-04-20 河北省电力建设调整试验所 Sub-critical thermal power generating unit enhancing stimulation and simulation modeling method based on LABVIEW
KR20170028147A (en) * 2015-09-03 2017-03-13 한국전기연구원 Model Parameter Validation Apparatus for Power Plant using the Staged Tests and method thereof
CN107315854A (en) * 2017-05-25 2017-11-03 上海交通大学 Control systems of nuclear power plant semi-physical simulation platform is designed and implementation method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101154213A (en) * 2006-09-27 2008-04-02 上海电气集团股份有限公司 Simulation platform of macrotype power station integrated automation system
CN103412784A (en) * 2013-08-23 2013-11-27 东南大学 Virtual control integration method for large thermal power generating unit thermodynamic calculation model
CN104462730A (en) * 2014-12-31 2015-03-25 广东电网有限责任公司电力科学研究院 Online simulation system and method for power plant
KR20170028147A (en) * 2015-09-03 2017-03-13 한국전기연구원 Model Parameter Validation Apparatus for Power Plant using the Staged Tests and method thereof
CN105512388A (en) * 2015-12-04 2016-04-20 河北省电力建设调整试验所 Sub-critical thermal power generating unit enhancing stimulation and simulation modeling method based on LABVIEW
CN107315854A (en) * 2017-05-25 2017-11-03 上海交通大学 Control systems of nuclear power plant semi-physical simulation platform is designed and implementation method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116522696A (en) * 2023-07-05 2023-08-01 西安高压电器研究院股份有限公司 Simulation method and device of capacity test loop, electronic equipment and storage medium
CN116522696B (en) * 2023-07-05 2023-09-05 西安高压电器研究院股份有限公司 Simulation method and device of capacity test loop, electronic equipment and storage medium

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