Coal-fired power plant unit energy efficiency distribution management system
By using the deep space-time graph convolution network model in coal-fired power plants to predict gas reception and consumption, optimize power generation scheduling, the problem of uncontrolled gas reception is solved, and efficient gas utilization and stable operation of power plants are achieved. .
Patent Information
- Application Number
- CN202411320895.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-23
- Publication Date
- 2025-02-07
AI Technical Summary
The gas reception volume of existing coal-fired power plants is uncontrolled and fluctuates greatly, resulting in unreasonable power generation scheduling, increasing gas dissipation and unit start-stop times, reducing gas utilization, and affecting the economic benefits and stable operation of the power plants.
A coal-fired power plant unit energy efficiency allocation management system was designed, and the deep space-time graph convolution network model was used to predict the gas reception and consumption through the space-time graph convolution algorithm. Combined with economic factors and market prices, power generation scheduling was optimized and real-time adjustment was made. Generator set processing to reduce consumption.
It realizes the predictability of gas reception and consumption, optimizes power generation scheduling, reduces the consumption of generator sets, improves gas utilization, and enhances the economic benefits and stable operation of the power plant.
Smart Images
Figure CN119396034A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy efficiency configuration of motor units, and in particular to an energy efficiency distribution management system for units in a coal-fired power plant. Background Art
[0002] A power plant, also known as a power station, is a factory that converts various primary energy sources in nature into electrical energy (secondary energy). With the growth of electricity demand, the development of motor manufacturing technology, the expansion of the application scope of electric energy, and the rapid growth of production demand for electricity, power plants came into being, and lifting equipment includes coal-fired power plants.
[0003] Coal-fired power plants convert the chemical energy of fossil fuels such as coal into electrical energy through coal-fired generator sets. As coal gas is the main fuel for generator sets, its utilization efficiency and consumption characteristics directly determine the operating cost and power generation efficiency of the units.
[0004] However, the amount of gas received has complex characteristics such as being uncontrolled, fluctuating, and having large changes in calorific value and pressure. Unreasonable power generation scheduling will not only lead to an increase in gas dissipation, but also increase the number of unit starts and stops, reduce gas utilization, and thus affect the economic benefits and stable operation of the power plant. This poses a huge challenge to the stable operation of the power plant and the improvement of unit efficiency. Summary of the invention
[0005] 1. Technical issues to be resolved
[0006] In view of the deficiencies in the prior art, the present invention provides a coal-fired power plant unit energy efficiency distribution management system, which solves the problem that the existing gas reception has complex characteristics such as uncontrolled, large fluctuations, large changes in calorific value and pressure, and unreasonable power generation scheduling will not only lead to increased gas dissipation, but also increase the number of unit starts and stops, reduce gas utilization, and thus affect the economic benefits and stable operation of the power plant, which brings huge challenges to the stable operation of the power plant and the improvement of unit efficiency.
[0007] (II) Technical solution
[0008] In order to achieve the above object, the present invention adopts the following technical solutions:
[0009] A coal-fired power plant unit energy efficiency distribution management system, including a coal-fired generator system, the coal-fired generator system including at least one coal-fired generator unit, the coal-fired generator system also including a unit control unit, a data acquisition unit, a data prediction unit, a signal analysis unit, a data processing unit and an energy efficiency control platform, the unit control unit is communicatively connected to the coal-fired generator system for controlling the coal-fired generator unit, the data acquisition unit is used to collect data on the amount of coal gas received and consumed by each generator unit in real time, and package the data and transmit it to a database server for storage, the data prediction unit is communicatively connected to the data acquisition unit for predicting the amount of coal gas received and consumed according to the data collected by the data acquisition unit, the signal analysis unit is communicatively connected to the data prediction unit for processing and analyzing the predicted information, the data processing unit is communicatively connected to the signal analysis unit, and the energy efficiency control platform is communicatively connected to the data processing unit and the unit control unit.
[0010] Furthermore, the data prediction unit adopts a deep spatiotemporal graph convolutional network model, and through the spatiotemporal graph convolution algorithm, alternately performs graph convolution in the spatial domain and the time domain, learns the relationship between the gas reception and consumption of each generator set in the time domain and the spatial domain respectively, predicts the gas reception and consumption of each generator set, obtains the predicted value of the gas reception and consumption, uses a loss function to measure the gap between the predicted value and the actual value of the gas reception and consumption, uses an optimization algorithm to minimize the loss function, adjusts the network parameters of the deep spatiotemporal graph convolutional network model, and obtains more accurate prediction values.
[0011] On the basis of the above scheme, the signal analysis unit analyzes and processes the predicted value obtained by the data prediction unit to obtain the key factor data affecting the operating stability of the unit.
[0012] As a further solution of the present invention, the data processing unit establishes a coupling relationship between the gas reception and consumption of each generator set and the power generation power based on the results of predicting the gas reception and consumption of each generator set, and obtains the gas reception and consumption curve of each generator set.
[0013] Furthermore, the energy efficiency control platform analyzes the processing results of the data processing unit, generates a main-level energy efficiency optimization scheme corresponding to the compressed air system and a system optimization instruction matching the main-level energy efficiency optimization scheme according to the energy efficiency optimization model and the processed working data, and sends the generated system optimization instruction to the energy efficiency secondary control platform.
[0014] Based on the above scheme, the energy efficiency control platform is used to send the system optimization instructions obtained by the energy efficiency secondary control platform to the unit control unit, and the unit control unit controls the working status of each air compressor unit according to the system optimization instructions to achieve energy efficiency optimization of the compressed air system.
[0015] As a further solution of the present invention, the data acquisition unit includes a data manager and at least one data collector, wherein each of the data collectors corresponds to a coal-fired power generation unit.
[0016] Furthermore, each of the data collectors is electrically connected to the controllers and sensors of each electronic device in the corresponding coal-fired generator set, and is used to collect real-time working data of each electronic device in the coal-fired generator set, wherein the working data includes analog data, switch data and sensor data of the corresponding electronic device. The data manager is electrically connected to each data collector, and is used to perform data statistics on the working data collected in real time by each data collector, so as to obtain the current working data corresponding to the coal-fired generator system.
[0017] The beneficial effects of the present invention are:
[0018] 1. The present invention aims at optimizing power generation scheduling, and uses the spatiotemporal graph convolution algorithm to achieve predictable gas reception and consumption, providing a calculation basis for scheduling optimization. Finally, this application adjusts the generator set processing in real time through the predicted gas reception and consumption values to reduce the consumption of the generator set.
[0019] 2. The present invention obtains real-time data of various status parameters based on status monitoring, combines economic factors of unit operation and market price factors, and comprehensively performs efficiency calculation, economic index calculation, and scheduling scheme optimization comparison, thereby achieving target optimization set by energy efficiency management.
[0020] 3. In the present invention, the unit control unit controls the working state of each coal-fired generator set according to the system optimization instruction, so as to realize the joint optimization of the working state of each coal-fired generator set in the coal-fired generator system and improve the energy efficiency optimization effect of the entire compressed air system. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 This is a schematic diagram of the system framework process structure of a coal-fired power plant unit energy efficiency distribution management system proposed by the present invention. DETAILED DESCRIPTION
[0022] 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. It should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "setting" should be understood in a broad sense. For ordinary technicians in this field, the specific meanings of the above terms in this patent can be understood according to specific circumstances.
[0023] Example 1
[0024] Reference Figure 1 A coal-fired power plant unit energy efficiency distribution management system includes a coal-fired generator system, the coal-fired generator system includes at least one coal-fired generator unit, the coal-fired generator system also includes a unit control unit, a data acquisition unit, a data prediction unit, a signal analysis unit, a data processing unit and an energy efficiency control platform, the unit control unit is communicatively connected with the coal-fired generator system for controlling the coal-fired generator unit, the data acquisition unit is used to collect data on the amount of gas received and consumed by each generator unit in real time, and transmit the data to a database server for storage after packaging, the data prediction unit is communicatively connected with the data acquisition unit for predicting the amount of gas received and consumed according to the data collected by the data acquisition unit, the signal analysis unit, the data processing unit and the energy efficiency control platform, The analysis unit is communicatively connected with the data prediction unit to process and analyze the predicted information. Based on the real-time data of various state parameters obtained from state monitoring, combined with the economic factors of unit operation and market price factors, efficiency calculation, economic index calculation and scheduling scheme optimization comparison are comprehensively performed to achieve target optimization set by energy efficiency management. The data processing unit is communicatively connected with the signal analysis unit. The energy efficiency control platform is communicatively connected with the data processing unit and the unit control unit. The unit control unit controls the working state of each coal-fired generating unit according to the system optimization instruction, so as to achieve joint optimization of the working state of each coal-fired generating unit in the coal-fired generating unit system and improve the energy efficiency optimization effect of the entire compressed air system.
[0025] In the present invention, the data prediction unit adopts a deep spatiotemporal graph convolutional network model, and through the spatiotemporal graph convolution algorithm, alternately performs graph convolution in the spatial domain and the temporal domain, respectively, learns the relationship between the gas reception and consumption of each generator set in the time domain and the spatial domain, predicts the gas reception and consumption of each generator set, obtains the predicted value of the gas reception and consumption, uses a loss function to measure the difference between the predicted value and the actual gas reception and consumption value, uses an optimization algorithm to minimize the loss function, adjusts the network parameters of the deep spatiotemporal graph convolutional network model, and obtains a more accurate prediction value, with the purpose of optimizing power generation scheduling. The target is to use the spatiotemporal graph convolution algorithm to achieve predictable gas reception and consumption, which provides a calculation basis for scheduling optimization. Finally, the application adjusts the processing of the generator set in real time through the predicted gas reception and consumption values to reduce the consumption of the generator set. The signal analysis unit analyzes and processes the predicted value obtained by the data prediction unit to grasp the key factor data affecting the operation stability of the unit. The data processing unit establishes the coupling relationship between the gas reception and consumption of the generator set and the power generation according to the results of predicting the gas reception and consumption of each generator set, and obtains the gas reception and consumption curves of each generator set.
[0026] In particular, the energy efficiency control platform analyzes the processing results of the data processing unit, generates a main-level energy efficiency optimization scheme corresponding to the compressed air system and a system optimization instruction matching the main-level energy efficiency optimization scheme according to the energy efficiency optimization model and the processed working data, and sends the generated system optimization instruction to the energy efficiency secondary control platform. The energy efficiency control platform is used to send the system optimization instruction obtained by the energy efficiency secondary control platform to the unit control unit, and the unit control unit controls the working state of each air compressor unit according to the system optimization instruction to achieve energy efficiency optimization of the compressed air system. The data acquisition unit includes a data manager and at least one data collector, wherein each data collector corresponds to a coal-fired power generation unit, each data collector is electrically connected to the controller and sensor of each electronic device in the corresponding coal-fired power generation unit, and is used to collect the working data of each electronic device in the coal-fired power generation unit in real time, wherein the working data includes analog data, switch data and sensor data of the corresponding electronic device, and the data manager is electrically connected to each data collector, and is used to perform data statistics on the working data collected by each data collector in real time to obtain the current working data corresponding to the coal-fired power generation system.
[0027] Example 2
[0028] Reference Figure 1A coal-fired power plant unit energy efficiency distribution management system includes a coal-fired generator system, the coal-fired generator system includes at least one coal-fired generator unit, the coal-fired generator system also includes a unit control unit, a data acquisition unit, a data prediction unit, a signal analysis unit, a data processing unit and an energy efficiency control platform, the unit control unit is communicatively connected with the coal-fired generator system for controlling the coal-fired generator unit, the data acquisition unit is used to collect data on the amount of gas received and consumed by each generator unit in real time, and transmit the data to a database server for storage after packaging, the data prediction unit is communicatively connected with the data acquisition unit for predicting the amount of gas received and consumed according to the data collected by the data acquisition unit, the signal analysis unit, the data processing unit and the energy efficiency control platform, The analysis unit is communicatively connected with the data prediction unit to process and analyze the predicted information. Based on the real-time data of various state parameters obtained from state monitoring, combined with the economic factors of unit operation and market price factors, efficiency calculation, economic index calculation and scheduling scheme optimization comparison are comprehensively performed to achieve target optimization set by energy efficiency management. The data processing unit is communicatively connected with the signal analysis unit. The energy efficiency control platform is communicatively connected with the data processing unit and the unit control unit. The unit control unit controls the working state of each coal-fired generating unit according to the system optimization instruction, so as to achieve joint optimization of the working state of each coal-fired generating unit in the coal-fired generating unit system and improve the energy efficiency optimization effect of the entire compressed air system.
[0029] In the present invention, the data prediction unit adopts a deep spatiotemporal graph convolutional network model, and through the spatiotemporal graph convolution algorithm, alternately performs graph convolution in the spatial domain and the temporal domain, respectively, learns the relationship between the gas reception and consumption of each generator set in the time domain and the spatial domain, predicts the gas reception and consumption of each generator set, obtains the predicted value of the gas reception and consumption, uses a loss function to measure the difference between the predicted value and the actual gas reception and consumption value, uses an optimization algorithm to minimize the loss function, adjusts the network parameters of the deep spatiotemporal graph convolutional network model, and obtains a more accurate prediction value, with the purpose of optimizing power generation scheduling. The target is to use the spatiotemporal graph convolution algorithm to achieve predictable gas reception and consumption, which provides a calculation basis for scheduling optimization. Finally, the application adjusts the processing of the generator set in real time through the predicted gas reception and consumption values to reduce the consumption of the generator set. The signal analysis unit analyzes and processes the predicted value obtained by the data prediction unit to grasp the key factor data affecting the operation stability of the unit. The data processing unit establishes the coupling relationship between the gas reception and consumption of the generator set and the power generation according to the results of predicting the gas reception and consumption of each generator set, and obtains the gas reception and consumption curves of each generator set.
[0030] In particular, the energy efficiency control platform analyzes the processing results of the data processing unit, generates a main-level energy efficiency optimization scheme corresponding to the compressed air system and a system optimization instruction matching the main-level energy efficiency optimization scheme according to the energy efficiency optimization model and the processed working data, and sends the generated system optimization instruction to the energy efficiency secondary control platform. The energy efficiency control platform is used to send the system optimization instruction obtained by the energy efficiency secondary control platform to the unit control unit, and the unit control unit controls the working state of each air compressor unit according to the system optimization instruction to achieve energy efficiency optimization of the compressed air system. The data acquisition unit includes a data manager and at least one data collector, wherein each data collector corresponds to a coal-fired power generation unit, each data collector is electrically connected to the controller and sensor of each electronic device in the corresponding coal-fired power generation unit, and is used to collect the working data of each electronic device in the coal-fired power generation unit in real time, wherein the working data includes analog data, switch data and sensor data of the corresponding electronic device, and the data manager is electrically connected to each data collector, and is used to perform data statistics on the working data collected by each data collector in real time to obtain the current working data corresponding to the coal-fired power generation system.
[0031] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. A coal-fired power plant unit energy efficiency distribution management system, including a coal-fired generator system, characterized in that: The coal-fired generator system includes at least one coal-fired generator set, and the coal-fired generator system also includes a unit control unit, a data acquisition unit, a data prediction unit, a signal analysis unit, a data processing unit and an energy efficiency control platform. The unit control unit is communicatively connected to the coal-fired generator system for controlling the coal-fired generator set. The data acquisition unit is used to collect data on the amount of gas received and consumed by each generator set in real time, and package the data and transmit it to a database server for storage. The data prediction unit is communicatively connected to the data acquisition unit for predicting the amount of gas received and consumed according to the data collected by the data acquisition unit. The signal analysis unit is communicatively connected to the data prediction unit for processing and analyzing the predicted information. The data processing unit is communicatively connected to the signal analysis unit. The energy efficiency control platform is communicatively connected to the data processing unit and the unit control unit.
2. The energy efficiency distribution management system for coal-fired power plant units according to claim 1, characterized in that: The data prediction unit adopts a deep spatiotemporal graph convolutional network model, and through a spatiotemporal graph convolution algorithm, alternately performs graph convolution in the spatial domain and the temporal domain, learns the relationship between the gas reception and consumption of each generator set in the time domain and the spatial domain respectively, predicts the gas reception and consumption of each generator set, obtains the predicted value of the gas reception and consumption, uses a loss function to measure the gap between the predicted value and the actual value of the gas reception and consumption, uses an optimization algorithm to minimize the loss function, adjusts the network parameters of the deep spatiotemporal graph convolutional network model, and obtains more accurate prediction values.
3. The energy efficiency distribution management system for coal-fired power plant units according to claim 2, characterized in that: The signal analysis unit analyzes and processes the predicted value obtained by the data prediction unit to obtain the key factor data affecting the operating stability of the unit.
4. The energy efficiency distribution management system for coal-fired power plant units according to claim 2, characterized in that: The data processing unit establishes a coupling relationship between the gas reception and consumption of each generator set and the power generation according to the results of predicting the gas reception and consumption of each generator set, and obtains the gas reception and consumption curve of each generator set.
5. The energy efficiency distribution management system for coal-fired power plant units according to claim 1, characterized in that: The energy efficiency control platform analyzes the processing results of the data processing unit, generates a main-level energy efficiency optimization scheme corresponding to the compressed air system and a system optimization instruction matching the main-level energy efficiency optimization scheme according to the energy efficiency optimization model and the processed working data, and sends the generated system optimization instruction to the energy efficiency secondary control platform.
6. The energy efficiency distribution management system for coal-fired power plant units according to claim 1, characterized in that: The energy efficiency control platform is used to send the system optimization instructions obtained by the energy efficiency secondary control platform to the unit control unit, and the unit control unit controls the working state of each air compressor unit according to the system optimization instructions to achieve energy efficiency optimization of the compressed air system.
7. The energy efficiency distribution management system for coal-fired power plant units according to claim 1, characterized in that: The data collection unit includes a data manager and at least one data collector, wherein each of the data collectors corresponds to a coal-fired power generation unit.
8. The energy efficiency distribution management system for coal-fired power plant units according to claim 7, characterized in that: Each of the data collectors is electrically connected to the controllers and sensors of each electronic device in the corresponding coal-fired generator set, and is used to collect real-time working data of each electronic device in the coal-fired generator set, wherein the working data includes analog data, switch data and sensor data of the corresponding electronic device. The data manager is electrically connected to each data collector, and is used to perform data statistics on the working data collected in real time by each data collector to obtain the current working data corresponding to the coal-fired generator system.