Energy conservation and emission reduction coordination system for power generation steam turbine

Abstract

The invention discloses an energy-saving and emission-reducing coordination system for a power generation steam turbine, which belongs to the technical field of power generation equipment and comprises a data acquisition unit, a data processing unit, a data processing unit and a data processing unit, the data is transmitted to the data processing and analyzing unit through a high-speed data transmission line; the data processing and analysis unit adopts a high-performance server and advanced data analysis software to carry out real-time processing and deep analysis on the acquired data; through real-time monitoring and accurate control, the system can enable the power generation steam turbine to operate at the optimal efficiency point as much as possible under various working conditions, and the energy utilization efficiency of the power generation steam turbine is effectively improved; and the fuel quantity required by the power generation steam turbine in the power generation process is reduced, so that the emission of pollutants such as carbon dioxide and nitrogen oxide is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of power generation equipment, and in particular relates to a power generation steam turbine energy-saving and emission-reduction coordination system. Background Art

[0002] As the core equipment in the power generation process, the operating efficiency and energy consumption of the steam turbine have a decisive impact on the energy conservation and emission reduction effect of the entire power generation system.

[0003] At present, most power generation steam turbine systems have the problem of low energy utilization efficiency. On the one hand, traditional monitoring methods are difficult to obtain the key parameters of steam turbine operation in real time and comprehensively, resulting in the inability to accurately grasp the operating status of the steam turbine and the inability to timely discover the links of energy waste. On the other hand, the existing control strategy is relatively simple and cannot accurately optimize the steam turbine according to complex and changeable operating conditions, so that the steam turbine cannot be in the best operating state under some operating conditions, resulting in energy waste and increased pollutant emissions. In addition, there is a lack of effective coordination mechanism between the various equipment in the power generation system, and the cooperation between the steam turbine and boilers, generators and other equipment is not tacit, which further reduces the efficiency of the entire power generation system. Summary of the invention

[0004] The purpose of the present invention is to propose a power generation steam turbine energy saving and emission reduction coordination system in order to solve the above-mentioned problems.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: a power generation steam turbine energy saving and emission reduction coordination system, which comprises:

[0006] The data acquisition unit is equipped with multiple data acquisition points, and uses high-precision sensors to collect key operating parameters such as steam flow, pressure, temperature, speed, vibration amplitude, power generation, etc. of the power generation steam turbine and related equipment in real time, and transmits the data to the data processing and analysis unit through a high-speed data transmission line;

[0007] The data processing and analysis unit uses high-performance servers and advanced data analysis software to process and deeply analyze the collected data in real time. It uses thermodynamic models, equipment performance evaluation models, fault diagnosis models, and data mining and machine learning algorithms to evaluate the thermal efficiency, mechanical efficiency, and equipment health of the power generation steam turbine, predict equipment failures and potential energy saving space, and feed back the analysis results to the optimization control unit;

[0008] The optimization control unit uses advanced intelligent control algorithms to generate optimal control strategies based on the results of the data processing and analysis unit, automatically adjusts the steam valve opening, turbine speed, condensate flow and other operating parameters of the power generation steam turbine, and conducts real-time communication and collaborative control with the control systems of related equipment such as boilers and generators through the industrial communication network;

[0009] The human-machine interaction unit uses a large touch-screen display combined with a graphical user interface design to provide operators with real-time viewing of the operating parameters, equipment status, energy-saving and emission-reduction effects of the power generation steam turbine and related equipment, and supports manual input of control instructions, setting of system operating parameters and alarm thresholds, as well as historical data query and report generation functions;

[0010] The storage unit is used to store the collected data, data analysis results, control strategies, and historical records generated during the operation of the system. It uses large-capacity disk arrays or cloud storage technology to ensure secure storage and fast access to data.

[0011] As a further description of the above technical solution:

[0012] The sensors in the data acquisition unit include a steam flow sensor, a pressure sensor, a temperature sensor, a rotation speed sensor, a vibration sensor and a power sensor.

[0013] As a further description of the above technical solution:

[0014] The data analysis software in the data processing and analysis unit integrates thermodynamic models, equipment performance evaluation models, fault diagnosis models, and data mining and machine learning algorithms.

[0015] As a further description of the above technical solution:

[0016] The intelligent control algorithms adopted by the optimization control unit include model predictive control and adaptive fuzzy control.

[0017] As a further description of the above technical solution:

[0018] The large touch screen display of the human-machine interaction unit is installed in the power generation control room and runs customized graphical user interface software.

[0019] As a further description of the above technical solution:

[0020] The storage unit adopts a large-capacity disk array or cloud storage technology, and is connected with the data processing and analysis unit, the optimization control unit and the human-computer interaction unit through a high-speed network.

[0021] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0022] 1. In the present invention, through real-time monitoring and precise control, the system can make the steam turbine run at the optimal efficiency point as much as possible under various working conditions, effectively improving the energy utilization efficiency of the steam turbine.

[0023] 2. In the present invention, the amount of fuel required by the steam turbine during power generation is reduced, thereby reducing the emission of pollutants such as carbon dioxide and nitrogen oxides.

[0024] 3. In the present invention, through real-time equipment status monitoring and fault prediction functions, operators can promptly discover potential problems with equipment and take corresponding maintenance measures to avoid equipment failures.

[0025] 4. In the present invention, by adopting advanced data analysis and intelligent control algorithms, the automatic and intelligent control of the operation of the power generation steam turbine is realized. The system can automatically adjust the control strategy according to the changes in the operating conditions without the need for frequent human intervention, thereby improving the accuracy and timeliness of the control, reducing labor costs, and improving the overall operation and management level of the power generation system.

[0026] 5. The present invention has good compatibility and scalability, and can adapt to the architectures of steam turbines of different types and specifications and various power generation systems. It can be integrated with existing power generation equipment and control systems through simple configuration and parameter adjustment, thus providing convenience for energy-saving and emission reduction transformation of power generation enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 The system block diagram of a power generation steam turbine energy conservation and emission reduction coordination system. DETAILED DESCRIPTION

[0028] 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.

[0029] See also Figure 1 The present invention provides a technical solution: a power generation steam turbine energy saving and emission reduction coordination system, comprising:

[0030] The data acquisition unit is equipped with multiple data acquisition points, and uses high-precision sensors to collect key operating parameters such as steam flow, pressure, temperature, speed, vibration amplitude, power generation, etc. of the power generation steam turbine and related equipment in real time, and transmits the data to the data processing and analysis unit through a high-speed data transmission line;

[0031] The data processing and analysis unit uses high-performance servers and advanced data analysis software to process and deeply analyze the collected data in real time. It uses thermodynamic models, equipment performance evaluation models, fault diagnosis models, and data mining and machine learning algorithms to evaluate the thermal efficiency, mechanical efficiency, and equipment health of the power generator, predict equipment failures and potential energy saving space, and feed back the analysis results to the optimization control unit;

[0032] The optimization control unit uses advanced intelligent control algorithms to generate optimal control strategies based on the results of the data processing and analysis unit, automatically adjusts the steam valve opening, turbine speed, condensate flow and other operating parameters of the power generation steam turbine, and conducts real-time communication and collaborative control with the control systems of related equipment such as boilers and generators through the industrial communication network;

[0033] The human-machine interaction unit uses a large touch-screen display combined with a graphical user interface design to provide operators with real-time viewing of the operating parameters, equipment status, energy-saving and emission-reduction effects of the power generation steam turbine and related equipment, and supports manual input of control instructions, setting of system operating parameters and alarm thresholds, as well as historical data query and report generation functions;

[0034] The storage unit is used to store the collected data, data analysis results, control strategies, and historical records generated during the operation of the system. It uses large-capacity disk arrays or cloud storage technology to ensure secure storage and fast access to data.

[0035] The sensors in the data acquisition unit include a steam flow sensor, a pressure sensor, a temperature sensor, a rotation speed sensor, a vibration sensor and a power sensor;

[0036] The data analysis software in the data processing and analysis unit integrates thermodynamic models, equipment performance evaluation models, fault diagnosis models, and data mining and machine learning algorithms;

[0037] The intelligent control algorithms adopted by the optimization control unit include model predictive control and adaptive fuzzy control;

[0038] The touch-screen large-screen display of the human-machine interaction unit is installed in the power generation control room and runs customized graphical user interface software;

[0039] The storage unit adopts a large-capacity disk array or cloud storage technology, and is connected with the data processing and analysis unit, the optimization control unit and the human-computer interaction unit through a high-speed network.

[0040] Working principle:

[0041] Implementation of the data acquisition unit: Install high-precision steam flow sensors and pressure sensors on the steam inlet pipe of the power generation steam turbine to measure the steam flow and pressure in real time; install multiple temperature sensors on the steam cylinder to monitor the temperature of different parts; install speed sensors and vibration sensors on the rotating shaft of the steam turbine to obtain the speed and vibration data of the steam turbine; install power sensors at the output end of the generator to measure the power generation; all data collected by the sensors are transmitted to the server of the data processing and analysis unit through optical fiber to ensure high-speed and stable data transmission;

[0042] Implementation of the data processing and analysis unit: The data processing and analysis unit uses a high-performance server cluster and runs professional data analysis software; the software integrates a variety of thermodynamic models, equipment performance evaluation models, and fault diagnosis algorithms; the server receives the data transmitted by the data acquisition unit in real time, and processes and analyzes it according to the preset algorithm; for example, the thermal efficiency of the power generation steam turbine and the change in the enthalpy of steam are calculated through the thermodynamic model; the mechanical efficiency and component wear of the steam turbine are evaluated using the equipment performance evaluation model; the fault diagnosis algorithm is used to detect anomalies in the collected data to determine whether the equipment has potential faults; the analysis results are fed back to the optimization control unit in real time to provide a basis for the generation of control strategies;

[0043] Implementation of the optimization control unit: The optimization control unit is implemented by combining a programmable logic controller (PLC) with an industrial computer. The PLC is responsible for executing specific control instructions and adjusting the operating parameters of the power generation steam turbine by controlling the electric actuator of the steam valve, the speed control system of the steam turbine, and the valves on the condensate pipeline. The industrial computer runs the intelligent control algorithm, generates the optimal control strategy based on the results provided by the data processing and analysis unit, and sends the control instructions to the PLC. At the same time, the industrial computer communicates with the control systems of related equipment such as boilers and generators through industrial Ethernet to achieve collaborative control between equipment.

[0044] Implementation of the human-machine interaction unit: The human-machine interaction unit uses a large touch-screen display installed in the power generation control room; the display runs customized graphical user interface (GUI) software; operators can easily view the real-time operating parameters, equipment status, historical data, reports and other information of the power generation steam turbine and related equipment through the touch screen; when manual intervention is required, operators can input control instructions through the screen to adjust the system's operating parameters and control strategies; the GUI software also provides an alarm prompt function. When the equipment operating parameters exceed the set threshold, the system will promptly issue an alarm signal to remind the operator to take corresponding measures;

[0045] Implementation of storage unit: The storage unit adopts a large-capacity disk array and is installed in the data center; the disk array is connected to the data processing and analysis unit, the optimization control unit and the human-computer interaction unit through a high-speed network, and stores various data generated during the operation of the system in real time; in order to ensure the security and reliability of the data, the storage unit also adopts data backup and recovery technology to back up the data regularly and quickly restore the data in the event of data loss or damage.

[0046] 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 power generation steam turbine energy saving and emission reduction coordination system, characterized by: include: The data acquisition unit is equipped with multiple data acquisition points, and uses high-precision sensors to collect key operating parameters such as steam flow, pressure, temperature, speed, vibration amplitude, power generation, etc. of the power generation steam turbine and related equipment in real time, and transmits the data to the data processing and analysis unit through a high-speed data transmission line; The data processing and analysis unit uses high-performance servers and advanced data analysis software to process and deeply analyze the collected data in real time. It uses thermodynamic models, equipment performance evaluation models, fault diagnosis models, and data mining and machine learning algorithms to evaluate the thermal efficiency, mechanical efficiency, and equipment health of the power generator, predict equipment failures and potential energy saving space, and feed back the analysis results to the optimization control unit; The optimization control unit uses advanced intelligent control algorithms to generate optimal control strategies based on the results of the data processing and analysis unit, automatically adjusts the steam valve opening, turbine speed, condensate flow and other operating parameters of the power generation steam turbine, and conducts real-time communication and collaborative control with the control systems of related equipment such as boilers and generators through the industrial communication network; The human-machine interaction unit uses a large touch-screen display combined with a graphical user interface design to provide operators with real-time viewing of the operating parameters, equipment status, energy-saving and emission-reduction effects of the power generation steam turbine and related equipment, and supports manual input of control instructions, setting of system operating parameters and alarm thresholds, as well as historical data query and report generation functions; The storage unit is used to store the collected data, data analysis results, control strategies, and historical records generated during the operation of the system. It uses large-capacity disk arrays or cloud storage technology to ensure secure storage and fast access to data.

2. A power generation steam turbine energy saving and emission reduction coordination system according to claim 1, characterized in that: The sensors in the data acquisition unit include a steam flow sensor, a pressure sensor, a temperature sensor, a rotation speed sensor, a vibration sensor and a power sensor.

3. A power generation steam turbine energy saving and emission reduction coordination system according to claim 1, characterized in that: The data analysis software in the data processing and analysis unit integrates thermodynamic models, equipment performance evaluation models, fault diagnosis models, and data mining and machine learning algorithms.

4. A power generation steam turbine energy saving and emission reduction coordination system according to claim 1, characterized in that: The intelligent control algorithms adopted by the optimization control unit include model predictive control and adaptive fuzzy control.

5. A power generation steam turbine energy saving and emission reduction coordination system according to claim 1, characterized in that: The large touch screen display of the human-machine interaction unit is installed in the power generation control room and runs customized graphical user interface software.

6. A power generation steam turbine energy saving and emission reduction coordination system according to claim 1, characterized in that: The storage unit adopts a large-capacity disk array or cloud storage technology, and is connected with the data processing and analysis unit, the optimization control unit and the human-computer interaction unit through a high-speed network.

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