Electrical engineering automation energy-saving control system suitable for thermal power plant

By introducing an automated energy-saving control system in thermal power plants, and using prediction modules and analytical control modules to optimize the energy allocation of thermal power plants, the problem of difficulty in real-time adjustment of thermal power generation in the existing technology is solved, and more efficient Energy utilization and operational stability.

CN119398262APending Publication Date: 2025-02-07GUONENG BEIAN THERMAL POWER CO LTD
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Patent Information

Application Number
CN202411515893.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-29
Publication Date
2025-02-07

AI Technical Summary

Technical Problem

It is difficult for the prior art to adjust thermal power generation in real time to cope with fluctuations in intermittent energy, resulting in energy waste in thermal power generation.

Method used

Provide an electrical engineering automation energy-saving control system, including prediction module, detection module, monitoring module and analysis control module. By predicting the output of hydropower, wind power, photovoltaic and nuclear power generation, adjusting the target power of thermal power plants and the effective power generation of generator sets. Power, optimize energy distribution.

Benefits of technology

It improves the system's ability to accept new energy, reduces the variable load lag of thermal power units, improves operating stability and safety, and reduces energy waste.

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Abstract

The invention relates to the technical field of automatic control, and discloses an electrical engineering automatic energy-saving control system suitable for a thermal power plant, and the system comprises a prediction module which carries out the prediction of the target electric quantity of the thermal power plant, and obtains a plant-level AGC index prediction value of the thermal power plant at each prediction moment; the detection module is used for detecting a first type of discharge parameters of slag discharged by the boiler of the thermal power plant and a second type of discharge parameters of fine ash; the monitoring module is used for detecting power data of a power generator of a thermal power plant, output data of a steam turbine and combustion state data in a boiler; and the analysis and 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, and enabling the active power exceeding the load limit value to bear the boundary load according to the calculated value of the active power. According to the method, the target electric quantity of the thermal power plant is predicted to cope with intermittent energy fluctuation, and the operation stability and safety are improved.
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Description

Technical Field

[0001] The invention relates to the technical field of automatic control, and in particular to an electrical engineering automatic energy-saving control system suitable for thermal power plants. Background Art

[0002] With the intensification of the energy crisis and the enhancement of environmental protection awareness, as one of the main sources of electricity supply, thermal power plants have become an important direction for the development of the industry in terms of energy efficiency improvement and energy conservation and emission reduction. Traditional thermal power plant electrical equipment control methods mostly rely on manual experience, which makes it difficult to respond to load changes in real time, resulting in low energy utilization efficiency. Therefore, it is particularly urgent to develop an intelligent and highly automated energy-saving control system.

[0003] The patent with the publication number CN115509195A discloses an electrical engineering automation energy-saving control system suitable for thermal power plants, including: a prediction module, which is used to determine the output prediction value of the thermal power unit, the output prediction value of the thermal power station and the power load prediction value at each prediction moment, and determine the plant-level AGC instruction prediction value of the thermal power plant at each prediction moment; an emission detection module, which is used to detect sulfur dioxide, carbon monoxide, nitrogen monoxide, nitrogen dioxide, O2, dust, hydride, fluoride, mercury, as well as temperature, flue gas flow, pressure, flue gas oxygen content, and flue gas moisture content; a monitoring module, which is used to monitor the combustion state data in the boiler; a full-power automatic energy-saving control module, which calculates the calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the entire thermal power plant is the minimum. It can automatically control the coal powder feed and other control parameters.

[0004] However, in the power generation industry, in addition to thermal power generation, there are also hydropower, wind power, photovoltaic and nuclear power. Hydropower, photovoltaic and nuclear power generation are greatly affected by surrounding environmental factors. When the power load is constant, thermal power generation needs to be adjusted in real time. Existing technology does not make adjustments for this, resulting in energy waste in thermal power generation. Summary of the invention

[0005] The present invention aims to provide an electrical engineering automation energy-saving control system suitable for thermal power plants to overcome the above-mentioned shortcomings.

[0006] In order to achieve the above object, the present invention provides an electrical engineering automation energy-saving control system suitable for thermal power plants, comprising:

[0007] The prediction module determines the predicted output value of the hydropower unit, wind turbine unit, photovoltaic power station, nuclear power generation output and power load at each prediction moment, predicts the target power of the thermal power plant, and obtains the predicted value of the plant-level AGC index of the thermal power plant at each prediction moment;

[0008] A detection module, used for detecting a first type of discharge parameter of slag and a second type of discharge parameter of fine ash discharged from a boiler of a thermal power plant;

[0009] Monitoring module, used to detect the power data of the thermal power plant generator, the output data of the steam turbine and the combustion status data in the boiler;

[0010] The analysis and control module calculates the calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the entire thermal power plant is minimum, and according to the calculated value of the active power, makes the active power exceeding the load limit value bear the boundary load.

[0011] Furthermore, the prediction module is also used to: respectively calculate the output change value of the hydropower unit, the output change value of the wind power unit, the output change value of the photovoltaic power station, the output change value of the nuclear power generation and the power load change value in the previous moment, and calculate the unit moment change of the output of the hydropower unit, the unit moment change of the output of the wind power unit, the unit moment change of the output of the photovoltaic power station, the unit moment change of the output of the nuclear power generation and the power load forecast value, thereby inferring the output forecast value of the hydropower unit, the output forecast value of the wind power unit, the output forecast value of the photovoltaic power station, the output forecast value of the nuclear power generation and the power load forecast value at each forecast moment.

[0012] Furthermore, the prediction module is also used to perform rolling optimization on the load distribution value on the load distribution prediction curve of each thermal power unit, the sliding pressure prediction value on the corrected sliding pressure value prediction curve, and the mid-point temperature prediction value on the corrected mid-point temperature prediction curve.

[0013] Furthermore, the detection module is also used to detect the coal feeding parameters of the pulverized coal entering the boiler of the thermal power plant.

[0014] Furthermore, the detection module includes a camera, which is used to collect image data of the coal intake parameters, the first type of discharge parameters and the second type of discharge parameters of fine ash.

[0015] Furthermore, the detection module also includes a pressure sensor, and the pressure sensor is used to collect quality data of the coal feeding parameters.

[0016] Furthermore, the emission module is also used to detect sulfur dioxide, carbon monoxide, nitric oxide, nitrogen dioxide, O2, dust, hydride, fluoride, mercury, as well as temperature, flue gas flow and pressure, flue gas oxygen content, and flue gas moisture content.

[0017] Furthermore, the detection module includes a DCS control submodule, which is used to connect the DCS control unit information to the oxygen analyzer, the nitrogen analyzer, the sulfide analyzer, the alarm buzzer, the control chip, and the control valve, and set a warning threshold for the DCS control unit.

[0018] Furthermore, the analysis and control module is also used to: exclude the units that bear the marginal load, and perform optimization allocation calculation on the remaining units until the active power target values ​​of all the units are obtained.

[0019] Furthermore, the analysis and control module is also used to calculate the reactive coordinated control target power factor according to a preset power factor calculation model in combination with the active power target value of each thermal power plant generator set.

[0020] Compared with the prior art, the electrical engineering automation energy-saving control system applicable to thermal power plants described in the present invention has the following advantages:

[0021] In the present invention, the target power of the thermal power plant is predicted by the predicted output value of the hydropower unit, the predicted output value of the wind power unit, the predicted output value of the photovoltaic power station, the predicted output value of the nuclear power generation and the predicted power load at each prediction moment, and the predicted value of the plant-level AGC index of the thermal power plant at each prediction moment is obtained, so as to control the corresponding thermal power unit, make the thermal power unit make adjustments in advance, cope with the fluctuation of intermittent energy, reduce the variable load lag of the thermal power unit, improve the system's acceptance capacity for new energy, and improve the operation stability and safety at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0023] Figure 1 The present invention is a schematic diagram of the overall structure of an electrical engineering automation energy-saving control system applicable to a thermal power plant. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] Reference Figure 1The present invention provides an electrical engineering automation energy-saving control system suitable for thermal power plants, comprising the following modules: a prediction module, a detection module, a monitoring module and an analysis and control module.

[0027] Among them, the prediction module is used to determine the predicted output value of hydropower units, wind turbine units, photovoltaic power stations, nuclear power generation output and power load at each prediction moment. Through these data, the target power of the thermal power plant is predicted, and the predicted value of the thermal power plant-level AGC (automatic generation control) index at each prediction moment is obtained.

[0028] The detection module is used to detect the first type of discharge parameters of slag and the second type of discharge parameters of fine ash discharged from the boiler of the thermal power plant. This module can also be used to detect the coal feeding parameters of pulverized coal entering the boiler of the thermal power plant.

[0029] The monitoring module is used to monitor the power data of the thermal power plant generator, the output data of the steam turbine and the combustion status data in the boiler in real time.

[0030] The analysis and control module is responsible for calculating the active power of each thermal power plant generator set when the total standard coal consumption of the entire thermal power plant is the minimum. According to this calculated value, the active power exceeding the load limit is adjusted to bear the boundary load, thereby optimizing energy distribution.

[0031] Preferably, the prediction module can also calculate the output change value and power load change value of the hydropower unit, wind turbine unit, photovoltaic power station and nuclear power generation in the previous moment, and then calculate the unit time change amount and power load prediction value of the hydropower unit, wind turbine unit, photovoltaic power station and nuclear power generation.

[0032] Preferably, rolling optimization is performed on the load distribution value on the load distribution prediction curve of each thermal power unit, the sliding pressure prediction value on the corrected sliding pressure value prediction curve, and the mid-point temperature prediction value on the corrected mid-point temperature prediction curve.

[0033] Preferably, the detection module comprises a camera for collecting image data of the coal inlet parameter, the first type of discharge parameter and the second type of discharge parameter of fine ash. In addition, the detection module also comprises a pressure sensor for collecting quality data of the coal inlet parameter.

[0034] Optionally, the emission module is used to detect sulfur dioxide, carbon monoxide, nitrogen monoxide, nitrogen dioxide, O2, dust, hydrides, fluorides, mercury compounds, and the temperature, flow rate, pressure, oxygen content and moisture content of the flue gas.

[0035] Specifically, the detection module includes a DCS (distributed control system) control submodule, which is used to connect the DCS control unit information to the oxygen analyzer, nitrogen analyzer, sulfide analyzer, alarm buzzer, control chip and control valve, and set the warning threshold for the DCS control unit.

[0036] In addition, the analysis and control module is also used to exclude units that bear marginal loads and perform optimization allocation calculations on the remaining units until the active power target values ​​of all units are obtained.

[0037] Specifically, the analysis and control module can calculate the reactive power coordinated control target power factor according to a preset power factor calculation model and in combination with the active power target value of each thermal power plant generator set.

[0038] Through the collaborative work of the above modules and functions, the efficient operation and management of the thermal power plant electrical engineering automation energy-saving control system can be achieved, the energy utilization efficiency can be improved, the energy consumption can be reduced, and the goal of energy conservation and emission reduction can be achieved.

[0039] In the description of the present invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0040] The embodiments described above are only descriptions of the preferred modes of the present invention, and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. An electrical engineering automation energy-saving control system suitable for thermal power plants, characterized in that: include: The prediction module determines the predicted output value of the hydropower unit, wind turbine unit, photovoltaic power station, nuclear power generation output and power load at each prediction moment, predicts the target power of the thermal power plant, and obtains the predicted value of the plant-level AGC index of the thermal power plant at each prediction moment; A detection module, used for detecting a first type of discharge parameter of slag and a second type of discharge parameter of fine ash discharged from a boiler of a thermal power plant; Monitoring module, used to detect the power data of the thermal power plant generator, the output data of the steam turbine and the combustion status data in the boiler; The analysis and control module calculates the calculated value of the active power of each thermal power plant generator set when the total standard coal consumption of the entire thermal power plant is minimum, and according to the calculated value of the active power, makes the active power exceeding the load limit value bear the boundary load.

2. The electrical engineering automation energy-saving control system suitable for thermal power plants according to claim 1 is characterized in that: The prediction module is also used to respectively calculate the output change value of the hydropower unit, the output change value of the wind power unit, the output change value of the photovoltaic power station, the output change value of the nuclear power generation and the power load change value in the previous moment, and calculate the unit moment change of the output of the hydropower unit, the unit moment change of the output of the wind power unit, the unit moment change of the output of the photovoltaic power station, the unit moment change of the output of the nuclear power generation and the power load forecast value, thereby inferring the output forecast value of the hydropower unit, the output forecast value of the wind power unit, the output forecast value of the photovoltaic power station, the output forecast value of the nuclear power generation and the power load forecast value at each forecast moment.

3. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 2 is characterized in that: The prediction module is also used to perform rolling optimization on the load distribution value on the load distribution prediction curve of each thermal power unit, the sliding pressure prediction value on the revised sliding pressure value prediction curve, and the mid-point temperature prediction value on the revised mid-point temperature prediction curve.

4. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 1 is characterized in that: The detection module is also used to detect the coal feeding parameters of the pulverized coal entering the boiler of the thermal power plant.

5. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 4 is characterized in that: The detection module includes a camera, which is used to collect image data of the coal intake parameters, the first type of discharge parameters and the second type of discharge parameters of fine ash.

6. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 5 is characterized in that: The detection module also includes a pressure sensor, which is used to collect quality data of the coal feeding parameters.

7. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 4 is characterized in that: The emission module is also used to detect sulfur dioxide, carbon monoxide, nitrogen monoxide, nitrogen dioxide, O2, dust, hydride, fluoride, mercury, as well as temperature, flue gas flow and pressure, flue gas oxygen content, and flue gas moisture content.

8. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 7 is characterized in that: The detection module includes a DCS control submodule, which is used to connect the DCS control unit information to the oxygen analyzer, the nitrogen analyzer, the sulfide analyzer, the alarm buzzer, the control chip, and the control valve, and set the warning threshold for the DCS control unit.

9. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 8, characterized in that: The analysis and control module is also used to exclude the units that bear the marginal load and perform optimization allocation calculation on the remaining units until the active power target values ​​of all the units are obtained.

10. The electrical engineering automation energy-saving control system applicable to thermal power plants according to claim 9, characterized in that: The analysis and control module is also used to calculate the reactive power coordinated control target power factor according to a preset power factor calculation model and in combination with the active power target value of each thermal power plant generator set.

Citation Information

Patent Citations

  • Electrical engineering automation energy-saving control system suitable for thermal power plant

    CN115509195A