CN111898976A - Online monitoring and intelligent operation system of steam power system - Google Patents
Online monitoring and intelligent operation system of steam power system Download PDFInfo
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- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 6
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Abstract
A steam power system on-line monitoring and intelligent operation system is disclosed, wherein a data layer comprises a flow parameter, an equipment nameplate parameter, a pipeline structure parameter, a working condition operation parameter and a real-time working condition parameter; the base layer comprises a plant steam system model and a relational database. And the data layer parameters are transmitted to the plant steam system model through the static data acquisition subsystem. And the real-time working condition parameters are transmitted to the relational database through the dynamic data acquisition subsystem. The whole plant steam system model comprises a power station internal model, a boiler water supply system model, a steam pipe network model, a key equipment model and a condensate system model. The relational database contains measured data and simulated data. The WEB release subsystem is connected with an application layer, and the application layer comprises an operation management subsystem, an energy consumption management subsystem, a plan and production scheduling subsystem, an emergency plan subsystem and a planning and designing subsystem. The invention realizes the function of online optimization operation, provides guidance for the optimization scheduling and operation of the steam system of an enterprise and achieves the aim of improving the energy utilization efficiency.
Description
Technical Field
The invention relates to the technical field of operation of steam power systems, in particular to an online monitoring and intelligent operation system of a steam power system.
Background
The steam power system is an important component of petrochemical enterprises, and aims to convert primary energy into secondary energy and provide required electric power and steam for the production process. The steam power system of the petrochemical enterprise consists of several links such as steam production, steam transmission, steam utilization, condensed water recovery and power grid, and relates to related equipment such as a boiler, a steam turbine, a turbine, steam heating equipment, a steam pipe network, a pump, a surface condenser and the like, and the safe and stable operation of the steam power system is the basis of the safe and long-period production of the petrochemical enterprise. The steam power system of the petrochemical enterprise can consume a large amount of energy, and on the premise of meeting the power consumption and steam consumption requirements of the petrochemical enterprise, the energy consumption can be reduced by reasonably optimizing the configuration of the steam power system, so that the production cost is reduced, and the steam power system has important significance for energy conservation and consumption reduction of the petrochemical enterprise.
Energy efficiency evaluation is a key link for implementing measures such as steam power system optimization. Through comprehensive accounting on links such as steam generation, transmission and use, unreasonable positions for energy use in the system are pointed out, and the method has important significance on energy conservation of the steam system. However, the existing evaluation method has complex working process and large consumption of manpower and material resources.
Disclosure of Invention
In order to realize the online intelligent operation of the steam power system of the whole plant, the invention provides an online monitoring and intelligent operation system of the steam power system, which carries out comprehensive online monitoring and accounting on the links of steam production, delivery, use and the like and realizes the online optimized operation function. The method can provide guidance for the optimized scheduling and operation of the steam system of the enterprise, and achieves the purpose of improving the energy utilization efficiency.
The technical scheme adopted by the invention is as follows:
steam power system on-line monitoring and intelligent operation system, including data layer, basic layer, application layer, the data layer includes: flow parameters, equipment nameplate parameters, pipeline structure parameters, working condition operation parameters and real-time working condition parameters.
The base layer comprises a plant steam system model and a relational database;
the steam system model of the whole plant is interactively connected with the data layer through a static data acquisition subsystem, and the process parameters, the equipment nameplate parameters, the pipeline structure parameters and the working condition operation parameters are transmitted to the steam system model of the whole plant through the static data acquisition subsystem;
the relational database is interactively connected with the data layer through a dynamic data acquisition subsystem, and the real-time working condition parameters are transmitted to the relational database through the dynamic data acquisition subsystem;
the whole plant steam system model comprises a power station internal model, a boiler water supply system model, a steam pipe network model, a key equipment model and a condensate system model;
the relational database includes: actual measurement data and simulation data;
the steam system model of the whole plant is in interactive connection with the relational database through a data interface subsystem;
the data interface subsystem is respectively connected with the WEB release subsystem and the mobile phone APP subsystem;
the WEB publishing subsystem is interactively connected with an application layer, and the application layer comprises: the system comprises an operation management subsystem, an energy consumption management subsystem, a plan production scheduling subsystem, an emergency plan subsystem and a planning and designing subsystem.
The operation management subsystem is used for overall system overview monitoring, equipment operation monitoring, pipe network operation monitoring, real-time alarming, operation mode prediction and operation mode optimization.
The energy consumption management subsystem is used for steam balance analysis, system energy consumption analysis, system bottleneck diagnosis, boiler and steam turbine efficiency analysis and pipeline heat preservation evaluation.
And the planning and scheduling subsystem is used for optimizing an air supply scheme, optimizing a load distribution scheme of a boiler and a steam turbine, formulating the requirements of raw and auxiliary materials of fuel and power, and predicting cost and profit.
The emergency plan subsystem comprises a boiler and steam turbine vehicle jumping emergency plan, a pipeline water hammer early warning and a pipeline leakage plan. And the planning design subsystem is used for site selection optimization of a new power station, adding devices, making a steam system transformation scheme and making a steam system planning adjustment scheme.
The real-time working condition parameters comprise DCS working condition parameters and MES working condition parameters.
The invention discloses an online monitoring and intelligent operation system of a steam power system, which has the beneficial effects that:
1. the system carries out comprehensive online monitoring and accounting on the links of steam production, transmission, utilization and the like of the whole plant, realizes the online optimization operation function, can provide guidance for the optimization scheduling and operation of the steam system of the enterprise, and improves the energy utilization efficiency.
2. The comprehensive monitoring and simulation optimizing steam system comprises the performance and the process operation of the self-contained power station, the steam main pipe network and the steam power related equipment in the main device. Establishing a uniform judgment standard and a scientific decision basis for the management of each department steam system; providing auxiliary guidance for the operation management of the daily steam system; and a method and decision basis are provided for optimizing energy conservation of the steam system.
3. The system can continuously carry out steam optimization work of the whole plant, and on one hand, off-line consultation is carried out on the steam system of the whole plant, and the system can also be connected with an enterprise database through a data interface, so that on-line intelligent optimization operation of the steam power system of the whole plant is realized.
Drawings
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a schematic view of the monitoring process of the system of the present invention.
Detailed Description
As shown in fig. 1, the steam power system on-line monitoring and intelligent operation system includes a data layer, a base layer, and an application layer.
The data layer includes: flow parameters, equipment nameplate parameters, pipeline structure parameters, working condition operation parameters and real-time working condition parameters.
(1) The process parameters are as follows:
in the steam pipe network flow, each line section represents a steam pipeline which is connected with a steam generating point and a steam consuming point and comprises steam pipelines with several pressure grades of 10.0MPa, 5.4MPa, 4.0MPa, 1.8MPa, 1.2MPa, 0.6MPa and 0.1MPa, wherein: the red line represents a high pressure of 10.0 MPa; the orange line represents medium pressure 5.4 MPa; the green line represents a low pressure of 4.0 MPa; the yellow line represents a low pressure of 1.8 MPa; the purple line represents a medium pressure of 1.2 MPa; blue line represents low pressure 0.6 MPa; the white line represents a low pressure of 0.1 MPa.
(2) Equipment nameplate parameters:
the steam system comprises a power plant, an ethylene glycol plant, coal gasification, air separation, matching and an ammonia synthesis plant, wherein the power plant comprises a boiler. The equipment nameplate parameters of the data layer comprise various index parameters of the equipment.
(3) The pipeline structure parameters are as follows:
the pipeline structure parameters comprise the material and the diameter of the pipeline, the connection structure between the pipeline and other equipment, the fluid in the pipeline and the like. For example: one part of steam produced by the power plant boiler is conveyed to the ethylene glycol device through a high-pressure pipeline of DN300, and the other part of steam is conveyed to the ammonia synthesis device through the high-pressure pipeline of DN 300; the medium-pressure steam and the low-pressure steam form an annular pipe network (for the low-pressure pipe network, a valve at the intersection of the coal gasification device is closed, and the low-pressure steam pipe network does not form an annular shape), one part of medium-pressure steam extraction of a steam turbine of the power plant is conveyed to the annular pipe network through a DN400 medium-pressure pipeline, the other part of the medium-pressure steam extraction of the steam turbine of the power plant is conveyed to the ethylene glycol device through a DN500 medium-pressure pipeline, and the medium-pressure steam produced by the ammonia synthesis device is conveyed to the annular pipe; one part of low-pressure extracted steam of a steam turbine of the power plant transmits steam to the annular pipe network through a DN300 low-pressure pipeline, low-pressure steam generated by ethylene glycol transmits the steam to the annular pipe network through the DN300 low-pressure pipeline, and a coal gasification device introduces the used medium-pressure steam and low-pressure steam from the annular pipe network.
(4) Working condition operating parameters and real-time working condition parameters:
1. steam balance condition of whole plant in summer
The working condition is based on the working conditions of 1 day and 2 days in 2016, namely the typical summer working condition. Under the working condition, the 1.8MPa steam of the ethylene glycol device is not returned to a 2# steam turbine of a power plant for high heating, but is sent to a temperature and pressure reducer, and simultaneously, the ethylene glycol sends low-pressure steam to the open-cell chemical. Data under the working condition are collected to obtain the steam balance and the temperature and pressure reduction steam quantity of the whole plant, and the data are shown in tables 1 and 2.
TABLE 1 summer steam balance throughout the plant
TABLE 2 summer temp. and pressure reducing statistical table for whole plant
TABLE 3 Whole plant steam turbine statistics
As can be seen from the above table, the steam power system of the whole plant has the following main features:
(1) the main steam generating points of the whole plant are 10.0MPa steam generated by a power plant, 5.4MPa steam generated by coal gasification and 4.0MPa steam generated by a pressure cooker, and the rest is turbine back pressure steam.
(2) The unbalance amount of the 4.0MPa pipe network is less and is 7.0t/h, and is within a reasonable range. The low-pressure steam unbalance amount is 17.6t/h, and the heat tracing quantity of the old area is contained.
(3) The whole plant has large temperature and pressure reduction amount, and is mainly positioned in power plants and ethylene glycol. Especially, steam with 10.0MPa minus 4.0MPa is about 40t/h, which brings a great loss of temperature and pressure reduction energy.
(4) And the whole plant has more condensing turbines, which account for about 60 percent of the total operating turbines, and the condensing amount is 290 t/h.
2. The steam balance condition of the whole plant in winter:
the working condition is based on the working condition from 21 days to 23 days in 12 months in a certain year, and the working condition is a typical winter working condition. Under the working condition, 1.8MPa steam of the ethylene glycol device is returned to a 2# steam turbine high pressure heater of a power plant and is used for heating boiler feed water. Data under the working conditions are collected to obtain the steam balance and the temperature and pressure reduction steam quantity of the whole plant, as shown in tables 4 and 5.
TABLE 4 winter steam balance throughout the plant
TABLE 5 statistical table of the temperature and pressure reduction of the whole plant in winter
Comparing the steam balance and temperature and pressure reduction of the whole plant in winter and summer, finding out that:
firstly, the load change of partial equipment for producing and using steam is large, and the steam balance is changed.
Secondly, the 1.8MPa steam of the ethylene glycol device returns heat and electricity, so that the temperature and pressure reduction amount of the 1.8MPa steam is reduced.
And thirdly, the steam quantity of the ethylene glycol device is greatly reduced by reducing the steam quantity by 10.0MPa and 4.0MPa, and the energy waste is reduced.
Fourthly, the steam quantity of the power station is increased by reducing the pressure of 10.0MPa to 4.0MPa, and the energy waste is increased.
The base layer comprises a plant steam system model and a relational database.
The steam system model of the whole plant is in interactive connection with the data layer through the static data acquisition subsystem, and the process parameters, the equipment nameplate parameters, the pipeline structure parameters and the working condition operation parameters are transmitted to the steam system model of the whole plant through the static data acquisition subsystem.
The relational database is interactively connected with the data layer through the dynamic data acquisition subsystem, and the real-time working condition parameters are transmitted to the relational database through the dynamic data acquisition subsystem. The data layer provides real-time working condition parameters of all existing steam systems, and the real-time working condition parameters are stored in a relational database through a data interface subsystem; the steam pipe network model collects data in the relational database through the data interface subsystem, completes on-line simulation calculation and returns the calculation result to the relational database; the application layer fetches data from the relational database through the data interface subsystem to realize online monitoring.
The plant wide steam system model comprises: the system comprises a power station internal model, a boiler water supply system model, a steam pipe network model, a key equipment model and a condensate system model.
The relational database includes: actual measurement data and simulation data. The real-time database provides real-time monitoring data of all existing steam systems and stores the real-time monitoring data in the relational database through an interface; the steam pipe network model collects data in the relational database through an interface, completes on-line simulation calculation, and returns the simulation data calculation result to the relational database; the online monitoring system fetches data from the relational database through an interface to realize online monitoring.
And the whole plant steam system model is in interactive connection with the relational database through a data interface subsystem.
The data interface subsystem is respectively connected with the WEB release subsystem and the mobile phone APP subsystem.
The WEB publishing subsystem is connected with an application layer, and the application layer comprises: the system comprises an operation management subsystem, an energy consumption management subsystem, a plan production scheduling subsystem, an emergency plan subsystem and a planning and designing subsystem.
The operation management subsystem is used for overall system overview monitoring, equipment operation monitoring, pipe network operation monitoring, real-time alarming, operation mode prediction and operation mode optimization.
Such as: the monitoring interface of the pipe network displays the pipe networks with pressure grades of 10.0MPa, 5.2MPa, 4.0MPa, 1.8MPa, 1.2MPa and 0.6MPa, wherein the pipe networks with the pressure grades of 5.2MPa, 1.8MPa and 1.2MPa belong to local pipe networks.
The monitoring interface can display parameters such as steam flow, pressure, temperature and the like of steam pipe network supply and steam consumption device boundary areas and important equipment. And performing on-line simulation on a pipe network with complete instruments, and displaying the pipe diameter, the pipe length, the steam flow, the pressure drop, the temperature drop, the flow velocity and the condensate flow of the main pipeline.
The energy consumption management subsystem is used for steam balance analysis, system energy consumption analysis, system bottleneck diagnosis, boiler and steam turbine efficiency analysis and pipeline heat preservation evaluation.
And the planning and scheduling subsystem is used for optimizing an air supply scheme, optimizing a load distribution scheme of a boiler and a steam turbine, formulating the requirements of raw and auxiliary materials of fuel and power, and predicting cost and profit.
The emergency plan subsystem is used for boiler and steam turbine jump emergency plans, pipeline water hammer early warning, other device jump emergency plans and pipeline leakage plans.
And the planning design subsystem is used for site selection optimization of a new power station, device addition, steam system transformation scheme formulation and steam system planning adjustment scheme formulation.
The real-time working condition parameters comprise DCS working condition parameters and MES working condition parameters.
Hardware configuration of the system of the invention:
a server:
the number of CPUs is 2; the maximum number of CPUs is 4;
the bus specification is as follows: QPI 4.8 GT/s;
CPU model: xeon E7-4807;
memory capacity: 8 GB;
hard disk capacity: 1 TB;
the internal hard disk supports SAS/SATA/SSD hard disks;
hot plug coil position: supporting hot plug;
an optical drive: DVD-RW;
a network controller: 1G four-port network card;
the power supply type: hot plugging a redundant power supply;
power of the power supply: 2 x 1200W;
the quality guarantee time is 3 years.
(II) the client:
a processor: intel Core i5-470UM (1.33 GHz);
memory capacity: 4G;
the memory type is as follows: DDR 3;
hard disk capacity: 500G
Screen size: 13.3 inches;
the type of the display card: integrating;
a display chip: intel GMA X4500;
wireless communication: a Bluetooth and Intel WiFi Link 5100 wireless network card is arranged in the Bluetooth module;
network card: and integrating the network card.
The implementation steps are as follows:
1. building a basic data platform:
and combing and summarizing all steam pipe network and production information by utilizing an enterprise real-time database, searching channels such as enterprise equipment ledgers and the like, and counting pipeline and heat preservation information.
2. Establishing a model and checking data:
establishing a steam system model of the whole plant according to the steam production-output-use process of the whole plant; and establishing a constraint relation between variables by using the steam distribution models of the equipment and the pipe network as correlation. And obtaining an adjusting value of the measured variable through a data correction technology, and carrying out reasonable and scientific estimation on the value of the unmeasured variable.
3. System debugging and online operation:
through the tests of the black box and the white box, the functions of analyzing heat flow, pressure loss, working condition analysis, heat preservation analysis and the like are analyzed, the existing problems are searched, and the model and the system are optimized and improved. The system is operated on line, and the safety and the stability of the steam power system are improved.
The key technology is as follows:
1. data checking for pipe sections/areas with insufficient meter outfitting rate:
for the areas with relatively lack of metering means, the data correction technology can not only obtain the adjustment values of the measured variables, but also carry out reasonable and scientific estimation on the unmeasured variable values, thereby providing reliable basis for further modeling and optimization of the steam system.
2. The adaptability and self-optimization adjusting function of the system under variable working conditions:
the model parameters also need to be adjusted on line under the influence of the working condition and the performance change of the equipment, and the model checking method based on the time axis can meet the requirement of optimization on the accuracy of the model.
3. And (3) the expandability of the system:
the system has good expansibility, can meet the requirements of projects in the current period, and can meet the function expansion in the future, such as adding new acquisition interfaces and other high-level applications.
The technical route is as follows:
the technical route is as shown in the following figure 2, and can be mainly divided into three layers, namely a data layer which comprises data acquisition and database establishment; the model layer realizes the functions of on-line monitoring, on-line simulation, maintenance and the like; and the result display layer, namely the application layer, is mainly used for enterprise management and operating personnel and has the functions of statistical reports, system monitoring, system optimization and the like.
The invention establishes a relatively perfect online monitoring system of the steam system, and simultaneously cooperates with a system model to continuously carry out steam optimization work of the whole plant, on one hand, off-line consultation is carried out on the steam system of the whole plant, and the online intelligent optimization operation of the steam power system of the whole plant can also be realized by connecting the data interface with an enterprise database.
Claims (10)
1. The utility model provides a steam power system on-line monitoring and intelligent operating system, includes data layer, basic layer, application layer, its characterized in that: the data layer includes: flow parameters, equipment nameplate parameters, pipeline structure parameters, working condition operation parameters and real-time working condition parameters;
the base layer comprises a plant steam system model and a relational database;
the steam system model of the whole plant is interactively connected with the data layer through a static data acquisition subsystem, and the process parameters, the equipment nameplate parameters, the pipeline structure parameters and the working condition operation parameters are transmitted to the steam system model of the whole plant through the static data acquisition subsystem;
the relational database is interactively connected with the data layer through a dynamic data acquisition subsystem, and the real-time working condition parameters are transmitted to the relational database through the dynamic data acquisition subsystem;
the whole plant steam system model comprises a power station internal model, a boiler water supply system model, a steam pipe network model, a key equipment model and a condensate system model;
the relational database includes: actual measurement data and simulation data;
the steam system model of the whole plant is in interactive connection with the relational database through a data interface subsystem;
the data interface subsystem is respectively connected with the WEB release subsystem and the mobile phone APP subsystem;
the WEB publishing subsystem is interactively connected with an application layer, and the application layer comprises: the system comprises an operation management subsystem, an energy consumption management subsystem, a plan production scheduling subsystem, an emergency plan subsystem and a planning and designing subsystem.
2. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein: the operation management subsystem is used for overall system overview monitoring, equipment operation monitoring, pipe network operation monitoring, real-time alarming, operation mode prediction and operation mode optimization.
3. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein: the energy consumption management subsystem is used for steam balance analysis, system energy consumption analysis, system bottleneck diagnosis, boiler and steam turbine efficiency analysis and pipeline heat preservation evaluation.
4. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein: and the planning and scheduling subsystem is used for optimizing an air supply scheme, optimizing a load distribution scheme of a boiler and a steam turbine, formulating the requirements of raw and auxiliary materials of fuel and power, and predicting cost and profit.
5. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein: the emergency plan subsystem comprises a boiler and steam turbine vehicle jumping emergency plan, a pipeline water hammer early warning and a pipeline leakage plan.
6. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein: and the planning design subsystem is used for site selection optimization of a new power station, adding devices, making a steam system transformation scheme and making a steam system planning adjustment scheme.
7. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein: the real-time working condition parameters comprise DCS working condition parameters and MES working condition parameters.
8. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein:
the implementation steps comprise
1) Building a basic data platform:
combing and summarizing all steam pipe network and production information by utilizing an enterprise real-time database, searching channels such as enterprise equipment ledgers and the like, and counting pipeline and heat preservation information;
2) establishing a model and checking data:
establishing a steam system model of the whole plant according to the steam production-output-use process of the whole plant; establishing a constraint relation between variables by taking a steam distribution model of the equipment and the pipe network as association;
obtaining an adjustment value of a measured variable through a data correction technology, and carrying out reasonable and scientific estimation on an unmeasured variable value;
3) debugging and online running of the system:
through the tests of a black box and a white box, the functions of analyzing heat flow, pressure loss, working condition analysis, heat preservation analysis and the like are analyzed, the existing problems are searched, and a model and a system are optimized and improved;
the system is operated on line, and the safety and the stability of the steam power system are improved.
9. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein:
the system is divided into three layers of structures, wherein the first layer is a data layer and comprises data acquisition and database establishment; the model layer realizes the functions of online monitoring, online simulation and maintenance; and the result display layer, namely the application layer, is used for enterprise management and operating personnel, and has statistical reports, system monitoring and system optimization.
10. The steam power system on-line monitoring and intelligent operation system as claimed in claim 1, wherein: and the online intelligent optimized operation of the steam power system of the whole plant is realized by connecting the data interface with an enterprise database.
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