CN115509195A - Automatic energy-saving control system of electrical engineering suitable for thermal power plant - Google Patents
Automatic energy-saving control system of electrical engineering suitable for thermal power plant Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
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Abstract
The invention provides an automatic energy-saving control system for electrical engineering of a thermal power plant, and relates to the technical field of automation. An electrical engineering automation energy-saving control system suitable for a thermal power plant comprises: the prediction module is used for respectively determining the output predicted value of the thermal power generating unit, the output predicted value of the thermal power station and the power load predicted value at each prediction moment, and determining the plant-level AGC instruction predicted value of the thermal power plant at each prediction moment; the emission detection module is used for detecting sulfur dioxide, carbon monoxide, nitrogen dioxide, O2, dust, hydride, fluoride and mercuride, as well as temperature, flue gas flow, pressure, flue gas oxygen content and flue gas moisture content; the monitoring module is used for monitoring combustion state data in the boiler; and the full-power automatic energy-saving control module is used for calculating the calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the whole thermal power plant is minimum. The coal powder feeding control system can automatically control coal powder feeding amount and other control parameters.
Description
Technical Field
The invention relates to the technical field of automation, in particular to an electrical engineering automation energy-saving control system suitable for a thermal power plant.
Background
At present, domestic power supply mainly takes thermal power as a main power, and the installed capacity at the end of 2021 years is taken as an example, the total installed capacity of power generation in China reaches 23.77 hundred million kilowatts, wherein 12.97 hundred million kilowatts account for 54.6 percent of thermal power, and the coal power in the thermal power reaches 11.1 hundred million kilowatts hours and accounts for 46.7 percent of thermal power; and in terms of power generation, the total amount of power generation in China reaches 8.38 trillion kilowatt hours in 2021 years, wherein the proportion of thermal power is 70.3% when the thermal power is 5.89 trillion kilowatt hours, and the proportion of coal power reaches 60.0% when the coal power is 5.03 trillion kilowatt hours. From the data, the fundamental role of coal power in the power supply system of China is that various new energy sources are rapidly developed worldwide, but the ballast stone status of thermal power generation still cannot be changed. At present, the mainstream coal consumption level of a thermal power plant is about 300g/kWh, and China companies invest foreign power plants, and due to the development of an advanced energy-saving control technology, the coal consumption is expected to reach the advanced level of 274.0 g/kWh. Thermal power plants consume large amounts of coal when operating. With the development of various technologies, especially the development and application of advanced control technologies, the average coal consumption of the whole thermal power plant is reduced, and thermal power still can generate great vitality in future power production. And the coal consumption of power generation is effectively reduced, and the method has great significance for energy conservation and emission reduction of a thermal power plant and reduction of operating cost.
In the related art, in order to achieve the purpose of energy saving, the combustion mode of a boiler is often improved through an existing furnace detection system and a temperature field detection system, so that the purpose of reducing energy consumption is achieved. However, since the inside of the boiler is complicated and in a high temperature state, the obtained data is noisy and cannot be reproduced, which poses a challenge to more precise energy saving control. The application provides an electrical engineering automation energy-saving control system suitable for thermal power plant for solve the above-mentioned problem that exists.
Disclosure of Invention
The invention aims to provide an electric engineering automatic energy-saving control system suitable for a thermal power plant, which can control the coal powder feeding amount and other control parameters and is suitable for the thermal power plant.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an electrical engineering automation energy-saving control system suitable for a thermal power plant, which includes a prediction module, configured to determine a predicted thermal power unit output value, and a predicted power load value at each prediction time, respectively, and determine a predicted thermal power plant level AGC instruction value at each prediction time; the emission detection module is used for detecting sulfur dioxide, carbon monoxide, nitrogen dioxide, O2, dust, hydride, fluoride and mercuride as well as temperature, flue gas flow, pressure, flue gas oxygen content and flue gas moisture content; the monitoring module is used for monitoring power data of a generator of a thermal power plant, output data of a steam turbine and combustion state data in the boiler; and the full-power automatic energy-saving control module is used for calculating a calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the whole thermal power plant is minimum according to the optimized distribution model, and enabling the active power exceeding the load limit value to bear the boundary load according to the calculated value of the active power.
In some embodiments of the present invention, the prediction module further includes: and the prediction change submodule is used for respectively determining the thermal power unit output prediction change amount, the thermal power station output prediction change amount and the electric load prediction change amount of the current prediction time relative to the previous prediction time.
In some embodiments of the present invention, the above further includes: and the prediction optimization submodule is used for performing rolling optimization on the load distribution value on the load distribution prediction curve of each thermal power generating unit, the sliding pressure prediction value on the corrected sliding pressure value prediction curve and the middle point temperature prediction value on the corrected middle point temperature prediction curve.
In some embodiments of the invention, the emission detection module further comprises: and the discharge detection submodule is used for detecting a coal feeding parameter of the pulverized coal entering the boiler of the thermal power plant, a first type of discharge parameter of slag discharged by the boiler of the thermal power plant and a second type of discharge parameter of fine ash discharged by a dust remover of the thermal power plant.
In some embodiments of the present invention, the above further includes: the sampling submodule is used for setting a plurality of gas outlets in the vertical direction of the gas adsorption pipeline at equal intervals, the gas outlets are connected with an oxygen analyzer, a nitride analyzer and a sulfide analyzer, a control valve is connected to the gas outlets, and the control valve is connected to the DCS control submodule.
In some embodiments of the present invention, the monitoring module further includes: and the DCS control submodule is used for connecting the DCS control unit information to the oxygen analyzer, the nitride analyzer, the sulfide analyzer, the alarm buzzer, the control chip and the control valve and setting a warning threshold value for the DCS control unit.
In some embodiments of the present invention, the full-power automatic energy-saving control module further includes: and the optimization control submodule is used for eliminating the unit bearing the boundary load, and performing optimization distribution calculation on the rest units until the active power target values of all the units are obtained.
In some embodiments of the present invention, the foregoing further includes: and the calculation submodule is used for calculating the reactive power coordination control target power factor by combining the active power target value of each thermal power plant generator set according to a preset power factor calculation model.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the device comprises a prediction module, an emission detection module, a monitoring module and a full-power automatic energy-saving control module.
In a second aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements a system as in any one of electrical engineering automation energy saving control systems adapted for use in a thermal power plant.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the electric engineering automation energy-saving control system suitable for the thermal power plant is used for judging and controlling the coal powder input and other control parameters according to the parameters of the coal powder, the furnace slag and the fine ash, and synchronously and coordinately controlling the reactive power of each unit while controlling the active power of each unit, so that the problem of unit reactive power fluctuation in the active power control process is solved, the stability of system voltage in the full-power control process of the thermal power plant is effectively improved, and the safe operation level of the voltage of a grid-connected point is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram of an electrical engineering automation energy-saving control system module suitable for a thermal power plant according to an embodiment of the present invention;
fig. 2 is an electronic device according to an embodiment of the present invention.
Icon: 10-a prediction module; 20-an emission detection module; 30-a monitoring module; 40-full power automatic energy-saving control module; 101-a memory; 102-a processor; 103-a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, as generally described and illustrated in the figures herein, could be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, system, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, system, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a" \8230; "does not exclude the presence of additional like elements in a process, system, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments and features of the embodiments described below can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram of an electrical engineering automation energy-saving control system suitable for a thermal power plant according to an embodiment of the present invention, which is shown as follows:
the prediction module 10 is configured to determine a thermal power unit output prediction value, a thermal power station output prediction value and an electrical load prediction value at each prediction time, and determine a thermal power plant AGC instruction prediction value at each prediction time;
in some embodiments, the system further includes a prediction change submodule, configured to determine a predicted thermal power unit output change amount, a predicted thermal power station output change amount, and a predicted electrical load change amount at a current prediction time relative to a previous prediction time, respectively. And the prediction optimization submodule is used for performing rolling optimization on the load distribution value on the load distribution prediction curve of each thermal power generating unit, the sliding pressure prediction value on the corrected sliding pressure value prediction curve and the middle point temperature prediction value on the corrected middle point temperature prediction curve.
In some embodiments, the operation results of the thermal power generating unit at the first two moments of the to-be-output moment are obtained; the operation result of the thermal power generating unit comprises a unit water supply quantity, a load actual value, a boiler coal supply quantity and a coal-water mass flow ratio; acquiring a load error value, a sliding pressure error value and a middle point temperature error value at the previous moment of the moment to be output; according to the operation results of the thermal power generating units at the first two moments, the load error value, the sliding pressure error value and the intermediate point temperature error value at the previous moment, respectively carrying out iterative optimization on the load at the moment to be output on the load distribution prediction curve, the sliding pressure value at the moment to be output on the corrected sliding pressure value prediction curve and the intermediate point temperature at the moment to be output on the corrected intermediate point temperature prediction curve by adopting a genetic algorithm to obtain the load, the sliding pressure value and the intermediate point temperature at the moment to be output after optimization; and controlling the thermal power generating unit according to the load, the sliding pressure value and the intermediate point temperature which are optimized at the moment to be output.
Acquiring the operation result, the sliding pressure actual value and the intermediate point temperature actual value of the thermal power generating unit at two moments before the previous moment, inputting the operation result, the sliding pressure actual value and the intermediate point temperature actual value into a BP neural network prediction model, and outputting a load predicted value, a sliding pressure predicted value and an intermediate point temperature predicted value at the previous moment; acquiring a load actual value, a sliding pressure actual value and a middle point temperature actual value which are output by a thermal power generating unit at the previous moment; and taking the difference between the predicted load value at the previous moment and the actual load value output at the previous moment as a load error value at the previous moment, taking the difference between the predicted sliding pressure value at the previous moment and the actual sliding pressure value output at the previous moment as a load error value at the previous moment, and taking the difference between the predicted intermediate point temperature value at the previous moment and the actual intermediate point temperature value output at the previous moment as a load error value at the previous moment.
An emission detection module 20, configured to detect sulfur dioxide, carbon monoxide, nitrogen dioxide, O2, dust, hydride, fluoride, mercuride, and a temperature, a flue gas flow rate, a pressure, a flue gas oxygen content, and a flue gas moisture content;
in some embodiments, the system further comprises an exhaust detection submodule for detecting a coal feeding parameter of the pulverized coal entering the thermal power plant boiler, a first type of exhaust parameter of slag exhausted from the thermal power plant boiler, and a second type of exhaust parameter of fine ash exhausted from a dust remover of the thermal power plant. The sampling submodule is used for equidistantly arranging a plurality of gas outlets in the vertical direction of the gas adsorption pipeline, the gas outlets are connected with the oxygen analyzer, the nitride analyzer and the sulfide analyzer, the gas outlets are connected with control valves, and the control valves are connected to the DCS control submodule.
In some embodiments, SO2, CO, NO2, O2, dust, hydrides, fluorides, mercurides, and temperature, flue gas flow, pressure, flue gas oxygen content, flue gas moisture content are detected.
The device comprises an oxygen analyzer, a nitride analyzer and a sulfide analyzer, wherein the oxygen analyzer, the nitride analyzer and the sulfide analyzer are connected with a sampling pump, the sampling pump is connected with a heating sample pipeline, and the heating sample pipeline is connected with the oxygen analyzer, the nitride analyzer and the sulfide analyzer; still be equipped with the sample structure in the waste gas patrols and examines the module, the sample structure includes the gas adsorption pipeline, the vertical direction equidistance of gas adsorption pipeline sets up a plurality of gas outlets, gas outlet and oxygen analysis appearance, the nitride analysis appearance, the sulphide analysis appearance is connected, be connected with the control valve on the gas outlet, the control valve is connected to DCS control submodule piece, connect and arrange the thermal power plant inside with the gas adsorption pipeline in, divide into a plurality of little units with the thermal power plant inner zone, a gas adsorption pipeline is all placed to every little unit inside. For example, the oxygen analyzer was used with model number Rosemount755R, the nitride analyzer was used with model number Rosemount951C, and the sulfide analyzer was used with model number Rosemount890.
The monitoring module 30 is used for monitoring power data of a generator of a thermal power plant, output data of a steam turbine and combustion state data in a boiler;
in some embodiments, the DCS control sub-module is further included for connecting the DCS control unit information to the oxygen analyzer, the nitride analyzer, the sulfide analyzer, the alarm buzzer, the control chip, the control valve, and setting an alert threshold for the DCS control unit.
In some embodiments, the data import chips connected to the oxygen analyzer, the nitride analyzer and the sulfide analyzer are connected to the data import chip, the data analyzer is connected to the alarm buzzer, the alarm buzzer is arranged in the thermal power plant, and the alarm buzzer is used for positioning after the alarm is given out and the DCS unit receives an electric signal, and purifying waste gas in a designated area. Can also be including purifying the box, purify inside a plurality of carbons of placing of box and adsorb membrane, air purifier, carbon adsorbs membrane one side and is equipped with the air compressor machine, and waste gas flows through and gets into air purifier behind the carbon adsorption membrane and derives, purifies the inside control chip that is equipped with of box, and control chip connects the power box, and the power box electricity is connected to air purifier and air compressor machine. Specifically, the DCS control submodule is provided with a DCS control unit, information of the DCS control unit is connected to the oxygen analyzer, the nitride analyzer, the sulfide analyzer, the alarm buzzer, the control chip and the control valve, the DCS control unit is provided with a warning threshold value, the DCS control unit receives data from the oxygen analyzer, the nitride analyzer and the sulfide analyzer, and if the data exceeds the characteristic value, the alarm buzzer is controlled to give an alarm.
And the full-power automatic energy-saving control module 40 is used for calculating a calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the whole thermal power plant is minimum according to the optimized distribution model, and enabling the active power exceeding the load limit value to bear the boundary load according to the calculated value of the active power.
In some embodiments, the system further includes an optimization control sub-module, configured to exclude the units that bear the boundary load, and perform an optimization allocation calculation on the remaining units until the active power target values of all the units are obtained. And the calculation submodule is used for calculating the reactive power coordination control target power factor by combining the active power target value of each thermal power plant generator set according to a preset power factor calculation model.
In some embodiments, image data may be used as the parameter data, and some condition monitoring data may be changed in real time, where a sampling frequency is a concern. And the coal powder can enter the furnace chamber after passing through the coal powder metering subsystem after a certain time delay, so that the delay processing is carried out according to the speed of the coal powder metering subsystem and the speed of other transport equipment when convolutional neural network learning and data matching judgment are carried out, the time difference is eliminated, and the image data of the coal powder metering subsystem corresponds to working condition monitoring data and working condition control parameters when the coal powder in the image is burning in the boiler, so that the control accuracy is improved.
Example 2
As shown in fig. 2, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the system of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but not limited to, a Random Access Memory (RAM) 101, a Read Only Memory (ROM) 101, a Programmable Read Only Memory (PROM) 101, an Erasable Read Only Memory (EPROM) 101, an electrically Erasable Read Only Memory (EEPROM) 101, or the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed system may be implemented in other ways. The system embodiments described above are merely illustrative, and for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by the processor 102, implements the system according to any one of the first aspect. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the system according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.
To sum up, the electric engineering automation energy-saving control system suitable for thermal power plant that this application embodiment provided, according to the buggy, the parameter of slag and fine ash is as judging according to and then control buggy input and other control parameter's electric engineering automation energy-saving control system suitable for thermal power plant, through when carrying out active power control to each unit, carry out synchronous coordinated control to each unit reactive power, the problem that can cause unit reactive power fluctuation in the active power control process has been solved, the effectual stability that improves thermal power plant full power control in-process system voltage, the safe operation level of grid-connected point voltage has been promoted.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An electrical engineering automation energy-saving control system suitable for a thermal power plant is characterized by comprising:
the prediction module is used for respectively determining the output predicted value of the thermal power generating unit, the output predicted value of the thermal power station and the power load predicted value at each prediction moment, and determining the plant-level AGC instruction predicted value of the thermal power plant at each prediction moment;
the emission detection module is used for detecting sulfur dioxide, carbon monoxide, nitrogen dioxide, O2, dust, hydride, fluoride and mercuride, as well as temperature, flue gas flow, pressure, flue gas oxygen content and flue gas moisture content;
the monitoring module is used for monitoring power data of a generator of a thermal power plant, output data of a steam turbine and combustion state data in the boiler;
and the full-power automatic energy-saving control module is used for calculating a calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the whole thermal power plant is minimum according to the optimized distribution model, and enabling the active power exceeding the load limit value to bear the boundary load according to the calculated value of the active power.
2. The electrical engineering automation energy saving control system suitable for a thermal power plant of claim 1, the prediction module further comprising:
and the prediction change submodule is used for respectively determining the thermal power unit output prediction change amount, the thermal power station output prediction change amount and the electric load prediction change amount of the current prediction time relative to the previous prediction time.
3. An electrical engineering automation energy saving control system suitable for thermal power plant as claimed in claim 2 further comprising:
and the prediction optimization submodule is used for performing rolling optimization on the load distribution value on the load distribution prediction curve of each thermal power generating unit, the sliding pressure prediction value on the corrected sliding pressure value prediction curve and the middle point temperature prediction value on the corrected middle point temperature prediction curve.
4. The electrical engineering automation energy saving control system suitable for use in a thermal power plant of claim 1, the emission detection module further comprising:
and the discharge detection submodule is used for detecting a coal feeding parameter of the pulverized coal entering the boiler of the thermal power plant, a first type of discharge parameter of slag discharged by the boiler of the thermal power plant and a second type of discharge parameter of fine ash discharged by a dust remover of the thermal power plant.
5. An electrical engineering automation energy saving control system suitable for thermal power plant as claimed in claim 4 further comprising:
the sampling submodule is used for equidistantly arranging a plurality of gas outlets in the vertical direction of the gas adsorption pipeline, the gas outlets are connected with the oxygen analyzer, the nitride analyzer and the sulfide analyzer, the gas outlets are connected with control valves, and the control valves are connected to the DCS control submodule.
6. The electrical engineering automation energy saving control system suitable for use in a thermal power plant of claim 1, the monitoring module further comprising:
and the DCS control submodule is used for connecting the DCS control unit information to the oxygen analyzer, the nitride analyzer, the sulfide analyzer, the alarm buzzer, the control chip and the control valve and setting a warning threshold value for the DCS control unit.
7. The electrical engineering automation energy-saving control system suitable for a thermal power plant of claim 1, wherein the full-power automation energy-saving control module further comprises:
and the optimization control submodule is used for eliminating the unit bearing the boundary load, and performing optimization distribution calculation on the rest units until the active power target values of all the units are obtained.
8. An electrical engineering automation energy saving control system suitable for use in a thermal power plant as claimed in claim 7 further comprising:
and the calculating submodule is used for calculating the reactive power coordination control target power factor by combining the active power target value of each thermal power plant generator set according to a preset power factor calculating model.
9. An electrical engineering automation energy saving control system suitable for thermal power plant as claimed in claim 8 comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the device comprises a prediction module, an emission detection module, a monitoring module and a full-power automatic energy-saving control module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements a system according to any one of claims 1-9.
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| CN105610200A (en) * | 2016-01-25 | 2016-05-25 | 安徽立卓智能电网科技有限公司 | Synchronous coordinated control based full-power control method for thermal power plant |
| CN112097236A (en) * | 2020-09-24 | 2020-12-18 | 尚尔发 | Automatic energy-saving control system of electrical engineering suitable for thermal power plant |
| CN112684757A (en) * | 2020-12-26 | 2021-04-20 | 西安西热控制技术有限公司 | Waste gas monitoring control system of thermal power plant |
| CN114928049A (en) * | 2022-06-15 | 2022-08-19 | 内蒙古电力(集团)有限责任公司乌兰察布供电分公司 | Feedforward predictive control method and system for thermal power generating unit |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105610200A (en) * | 2016-01-25 | 2016-05-25 | 安徽立卓智能电网科技有限公司 | Synchronous coordinated control based full-power control method for thermal power plant |
| CN112097236A (en) * | 2020-09-24 | 2020-12-18 | 尚尔发 | Automatic energy-saving control system of electrical engineering suitable for thermal power plant |
| CN112684757A (en) * | 2020-12-26 | 2021-04-20 | 西安西热控制技术有限公司 | Waste gas monitoring control system of thermal power plant |
| CN114928049A (en) * | 2022-06-15 | 2022-08-19 | 内蒙古电力(集团)有限责任公司乌兰察布供电分公司 | Feedforward predictive control method and system for thermal power generating unit |
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