Efficient turbine electric power recovery enhancing system

Abstract

The invention belongs to the technical field of steam turbine electric power recovery, and provides an efficient steam turbine electric power recovery enhancing system which comprises a steam turbine body, an energy recovery device, a control module and an electric power conversion module. The energy recovery device is used for recovering waste heat, waste gas and mechanical energy loss generated in the running process of the steam turbine; the control module is used for monitoring and controlling the running state of the energy recovery device; waste heat, waste gas and mechanical energy loss generated in the running process of the steam turbine are comprehensively recovered through the energy recovery device, the efficiency and energy distribution of all subsystems are optimized by introducing an energy recovery efficiency evaluation and optimization algorithm, and the overall energy recovery efficiency is remarkably improved; meanwhile, the power conversion module adopts components such as a rectifier, an inverter and a filter, the recycled energy is stably converted into electric energy and output to a power network, and the stability and efficiency of power conversion are further improved through a power conversion efficiency optimization algorithm.

Description

Technical Field

[0001] The present invention belongs to the technical field of steam turbine power recovery, and more specifically, it is an enhanced system for efficient steam turbine power recovery. Background Art

[0002] In the existing steam turbine power generation system, although heat energy can be efficiently converted into mechanical energy, there are still a large amount of energy losses during the energy conversion process, especially waste heat, waste gas, and mechanical energy losses. These lost energies are usually directly discharged into the environment, which not only causes energy waste but may also have an adverse impact on the environment. To improve energy utilization efficiency and reduce environmental pollution, it is necessary to develop an enhanced system for efficient steam turbine power recovery to recover and utilize these lost energies.

[0003] However, most of the existing steam turbine power recovery systems in the market have problems such as low recovery efficiency, unstable energy conversion, and complex control systems. As a result, the current systems often cannot comprehensively and effectively recover various forms of energy losses generated during the operation of the steam turbine, and there may be significant energy losses during the energy conversion and distribution processes; at the same time, the control systems of the existing systems are usually relatively complex and difficult to achieve precise monitoring and control, thus limiting the improvement of energy recovery efficiency.

[0004] Therefore, those skilled in the art have proposed an enhanced system for efficient steam turbine power recovery to solve the problems raised in the background art. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides an enhanced system for efficient steam turbine power recovery to solve the problems in the prior art that the system often cannot comprehensively and effectively recover various forms of energy losses generated during the operation of the steam turbine, and there may be significant energy losses during the energy conversion and distribution processes; at the same time, the control systems of the existing systems are usually relatively complex and difficult to achieve precise monitoring and control, thus limiting the improvement of energy recovery efficiency.

[0006] An enhanced system for efficient steam turbine power recovery includes: a steam turbine main body, an energy recovery device, a control module, and a power conversion module; the energy recovery device is used to recover waste heat, waste gas, and mechanical energy losses generated during the operation of the steam turbine; the control module is used to monitor and control the operating state of the energy recovery device to optimize the energy recovery efficiency; the power conversion module is used to convert the recovered energy into electrical energy and output it to the power grid.

[0007] Preferably, the energy recovery device includes a waste heat recovery subsystem, an exhaust gas energy recovery subsystem, and a hydraulic energy recovery subsystem; the waste heat recovery subsystem is used to recover the waste heat in the steam turbine exhaust steam and the cooling water system, generate steam to drive a steam turbine for power generation; the exhaust gas energy recovery subsystem is used to recover the energy of the high-temperature and high-pressure exhaust gas discharged from the steam turbine, and convert it into mechanical energy through an exhaust gas turbocharger to drive the intake air supercharging of the turbine; the hydraulic energy recovery subsystem is used to recover the energy during the braking or deceleration process of the turbine, store it through a hydraulic accumulator and release it when needed. The energy recovery device introduces an energy recovery efficiency evaluation and optimization algorithm to optimize the efficiency and energy distribution of each subsystem, and can improve the overall recovery efficiency.

[0008] Preferably, the control module includes sensors, a data acquisition unit, and an algorithm processing unit; the sensors are used to monitor the operating parameters and external conditions of the steam turbine in real time; the data acquisition unit is used to collect the data collected by the sensors and transmit it to the algorithm processing unit; the algorithm processing unit dynamically adjusts the working mode and parameters of the energy recovery device according to the preset algorithms and models to optimize the energy recovery efficiency.

[0009] Preferably, an adaptive PID control algorithm is introduced into the control module to dynamically adjust the gain according to the error signal and time to improve the robustness and response speed of the control system.

[0010] Preferably, the power conversion module includes a rectifier, an inverter, and a filter; the rectifier is used to convert the recovered energy into direct current; the inverter is used to convert the direct current into alternating current; the filter is used to filter out harmonics and clutter in the alternating current to improve the power quality.

[0011] Preferably, in the power conversion module, a power conversion efficiency optimization algorithm is used to optimize the parameters of the power conversion module, reduce energy loss and harmonic generation, and improve the power conversion efficiency.

[0012] Preferably, the system further includes an intelligent monitoring module for remotely monitoring the operating status of the system, realizing fault diagnosis and early warning, improving the reliability and maintenance efficiency of the system. The intelligent monitoring module uses machine learning algorithms to monitor the operating status of the system and conduct fault diagnosis to improve the accuracy and timeliness of fault diagnosis.

[0013] A processor configured to execute an enhanced high-efficiency steam turbine power recovery system according to the above.

[0014] A computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, it implements an enhanced high-efficiency steam turbine power recovery system according to the above.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] 1. The present invention comprehensively recovers the waste heat, waste gas, and mechanical energy loss generated during the operation of the steam turbine through an energy recovery device, and optimizes the efficiency of each energy recovery subsystem by introducing an energy recovery efficiency evaluation and optimization algorithm, thereby significantly improving the overall energy recovery efficiency.

[0017] 2. The power conversion module in the present invention uses components such as a rectifier, an inverter, and a filter to stably convert the recovered energy into electrical energy and output it to the power grid; at the same time, the power conversion efficiency optimization algorithm is used to reduce energy loss and harmonic generation, further improving the stability and efficiency of power conversion.

[0018] 3. The control module of the present invention uses components such as sensors, a data acquisition unit, and an algorithm processing unit to monitor and control the operating state of the energy recovery device in real time; by introducing an adaptive PID control algorithm, the robustness and response speed of the control system are improved, making the control system simpler, more stable, and easier to maintain.

[0019] 4. The present invention also includes an intelligent monitoring module for remotely monitoring the operating state of the system to achieve fault diagnosis and early warning; by using machine learning algorithms to monitor the operating state of the system and conduct fault diagnosis, the accuracy and timeliness of fault diagnosis are improved, thereby enhancing the reliability and maintenance efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a framework diagram of the high-efficiency steam turbine power recovery enhancement system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] The following further describes the embodiments of the present invention in detail in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0022] Embodiment: The present invention provides a high-efficiency steam turbine power recovery enhancement system, as Figure 1 shown, including: a steam turbine main body, an energy recovery device, a control module, and a power conversion module; the energy recovery device is used to recover the waste heat, waste gas, and mechanical energy loss generated during the operation of the steam turbine; the control module is used to monitor and control the operating state of the energy recovery device to optimize the energy recovery efficiency; the power conversion module is used to convert the recovered energy into electrical energy and output it to the power grid.

[0023] As described above, the waste heat, waste gas, and mechanical energy losses generated during the operation of the steam turbine are comprehensively recovered by the energy recovery device, and an energy recovery efficiency evaluation and optimization algorithm is introduced to optimize the efficiency and energy distribution of each subsystem, significantly improving the overall energy recovery efficiency. At the same time, the power conversion module uses components such as rectifiers, inverters, and filters to stably convert the recovered energy into electrical energy and output it to the power grid, and the power conversion efficiency optimization algorithm further improves the stability and efficiency of power conversion. In addition, the control module monitors and controls the operating status of the energy recovery device in real time, and the introduction of the adaptive PID control algorithm improves the robustness and response speed of the control system, while the intelligent monitoring module uses machine learning algorithms to achieve remote monitoring, fault diagnosis, and early warning, enhancing the reliability and maintenance efficiency of the system.

[0024] Furthermore, the energy recovery device includes a waste heat recovery subsystem, an exhaust gas energy recovery subsystem, and a hydraulic energy recovery subsystem; the waste heat recovery subsystem is used to recover the waste heat in the steam turbine exhaust steam and the cooling water system to generate steam to drive a steam turbine for power generation; the exhaust gas energy recovery subsystem is used to recover the energy of the high-temperature and high-pressure exhaust gas discharged from the steam turbine and convert it into mechanical energy through an exhaust gas turbocharger to drive the intake air pressurization of the turbine; the hydraulic energy recovery subsystem is used to recover the energy during the braking or deceleration process of the turbine, store it through a hydraulic accumulator, and release it when needed. The energy recovery device introduces an energy recovery efficiency evaluation and optimization algorithm to optimize the efficiency and energy distribution of each subsystem, which can improve the overall recovery efficiency. The formula of the energy recovery efficiency evaluation and optimization algorithm includes:

[0025]

[0026] where η t is the total energy recovery efficiency, and η i is the efficiency of each energy recovery subsystem (such as the waste heat recovery subsystem, the exhaust gas energy recovery subsystem, etc.), and E i is the energy recovered by each subsystem.

[0027] As can be seen from the above, the energy recovery device realizes the comprehensive recovery of various energy losses generated during the operation of the steam turbine by including a waste heat recovery subsystem, an exhaust gas energy recovery subsystem, and a hydraulic energy recovery subsystem. The waste heat recovery subsystem uses the waste heat in the exhaust steam and the cooling water system to generate steam to drive a steam turbine for power generation. The exhaust gas energy recovery subsystem converts high-temperature and high-pressure exhaust gas into mechanical energy to drive the intake supercharging of the turbine. The hydraulic energy recovery subsystem recovers the energy during the braking or deceleration process of the turbine and stores it through a hydraulic accumulator. In addition, the energy recovery device also introduces an energy recovery efficiency evaluation and optimization algorithm to optimize the efficiency and energy distribution of each subsystem, thereby significantly improving the overall recovery efficiency. It not only improves the energy utilization efficiency but also helps to reduce environmental pollution and achieve sustainable development.

[0028] Further, the control module includes sensors, a data acquisition unit, and an algorithm processing unit; the sensors are used to monitor the operating parameters and external conditions of the steam turbine in real time; the data acquisition unit is used to collect the data collected by the sensors and transmit it to the algorithm processing unit; the algorithm processing unit dynamically adjusts the working mode and parameters of the energy recovery device according to the preset algorithms and models to optimize the energy recovery efficiency.

[0029] As can be seen from the above, the control module realizes the real-time monitoring and precise control of the operating state of the steam turbine by integrating sensors, a data acquisition unit, and an algorithm processing unit. The sensors can capture the operating parameters and external conditions of the steam turbine in real time, and the data acquisition unit efficiently collects and transmits this data to the algorithm processing unit. The algorithm processing unit can dynamically adjust the working mode and parameters of the energy recovery device according to the preset advanced algorithms and models, thereby optimizing the energy recovery efficiency. It not only enhances the flexibility and adaptability of the system but also significantly improves the accuracy and stability of energy recovery, providing a strong guarantee for efficient and reliable energy recovery.

[0030] Further, an adaptive PID control algorithm is introduced into the control module to dynamically adjust the gain according to the error signal and time to improve the robustness and response speed of the control system. The formula of the adaptive PID control algorithm includes:

[0031]

[0032] where u(t) is the control output, e(t) is the error signal, K p 、K i 、K d are the proportional, integral, and differential gains respectively, and f′(e(t),t) is the adaptive term.

[0033] As can be seen from the above, the introduction of the adaptive PID control algorithm in the control module improves the performance and stability of the control system. This algorithm can dynamically adjust the gains, namely the proportional, integral, and derivative gains, according to the error signal and time, and perform real-time optimization through the adaptive term, thus significantly improving the robustness and response speed of the control system, enabling the control system to respond to various changes during the operation of the steam turbine more quickly and accurately, ensuring that the energy recovery device always remains in the optimal working state, and further enhancing the energy efficiency and reliability of the overall system.

[0034] Furthermore, the power conversion module includes a rectifier, an inverter, and a filter; the rectifier is used to convert the recovered energy into direct current; the inverter is used to convert the direct current into alternating current; the filter is used to filter out harmonics and clutter in the alternating current to improve the power quality.

[0035] Furthermore, in the power conversion module, by using the power conversion efficiency optimization algorithm to optimize the parameters of the power conversion module, energy loss and harmonic generation can be reduced, and the power conversion efficiency can be improved. The formula of the power conversion efficiency optimization algorithm includes:

[0036]

[0037] where η′ is the power conversion efficiency, P out is the output power, P in is the input power, P loss is the energy loss during the conversion process, and THD is the total harmonic distortion.

[0038] As can be seen from the above, by applying the power conversion efficiency optimization algorithm, the efficiency and quality of power conversion are effectively improved. This algorithm significantly reduces energy loss and harmonic generation by finely optimizing the parameters of the power conversion module, thereby improving the power conversion efficiency. Specifically, the algorithm comprehensively considers multiple factors such as output power, input power, energy loss during the conversion process, and total harmonic distortion, and ensures the high efficiency and stability of the power conversion process through precise calculation and dynamic adjustment. It not only improves the energy utilization efficiency but also helps to improve the power grid quality, providing strong support for the safe and stable operation of the power system.

[0039] Furthermore, the system also includes an intelligent monitoring module for remotely monitoring the operating status of the system, realizing fault diagnosis and early warning, and improving the reliability and maintenance efficiency of the system. The intelligent monitoring module uses machine learning algorithms to monitor the operating status of the system and perform fault diagnosis to improve the accuracy and timeliness of fault diagnosis. The formula of the machine learning algorithm includes:

[0040]

[0041] where x1, x2,..., x n are system operation parameters (such as temperature, pressure, vibration, etc.), and are prediction results (such as fault type, remaining life, etc.).

[0042] As can be seen from the above, the introduction of the intelligent monitoring module in the present invention greatly enhances the reliability and maintenance efficiency of the system. This module uses machine learning algorithms to monitor and deeply analyze the system operation parameters (such as temperature, pressure, vibration, etc.) in real time, and can accurately predict and diagnose key information such as system fault types and remaining life. This intelligent monitoring method not only improves the accuracy and timeliness of fault diagnosis, but also makes system maintenance more precise and efficient. By remotely monitoring the system operation status, the operation and maintenance personnel can quickly respond to and handle potential problems, thereby effectively avoiding the occurrence of faults and ensuring the continuous and stable operation of the system. It not only reduces the operation and maintenance costs, but also improves the overall system security and reliability.

[0043] Furthermore, an efficient steam turbine power recovery enhancement system of the embodiment is compared with a steam turbine power recovery system (comparative example) on the market at present, and the following table is obtained:

[0044]

[0045]

[0046] As can be seen from the above table, the efficient steam turbine power recovery enhancement system of the embodiment is superior to the steam turbine power recovery systems on the market at present in terms of energy recovery range, energy recovery efficiency, control system performance, stability of the power conversion module, intelligent monitoring ability, system reliability, and environmental impact. By comprehensively recovering and utilizing the waste heat, waste gas, and mechanical energy loss during the operation of the steam turbine, and combining advanced optimization algorithms and intelligent monitoring technologies, this system realizes higher energy recovery efficiency and more stable power conversion, while reducing the operation and maintenance costs and reducing environmental pollution.

[0047] Working principle: The waste heat, waste gas, and mechanical energy loss generated by the steam turbine during operation are comprehensively recovered through the energy recovery device, and the energy recovery efficiency evaluation and optimization algorithm are used to optimize the efficiency and energy distribution of each subsystem; at the same time, the control module monitors and controls the operation status of the energy recovery device in real time, and adopts an adaptive PID control algorithm to improve the robustness and response speed of the control system; the power conversion module stably converts the recovered energy into electrical energy and outputs it to the power grid, and uses the power conversion efficiency optimization algorithm to reduce energy loss and harmonic generation; in addition, the intelligent monitoring module uses machine learning algorithms to remotely monitor, diagnose faults, and give early warnings about the system operation status, thereby improving the reliability and maintenance efficiency of the system.

[0048] An embodiment of the present application provides an electronic device, which is applicable to the above-mentioned efficient steam turbine power recovery enhancement system, and includes:

[0049] A memory for protecting computer programs and data;

[0050] A processor for running system programs.

[0051] An embodiment of the present application provides a computer storage medium, which is applicable to the above-mentioned efficient steam turbine power recovery enhancement system, and performs hierarchical confidentiality management on the above system and data according to the requirements of confidentiality management.

[0052] Those skilled in the art should understand that the embodiments of the present application can be provided as a system or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0053] The present application is described with reference to the flowcharts and / or block diagrams of the devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0054] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0055] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the functions specified in Figure 1 one process or multiple processes and / or blocksFigure 1 Steps of functions specified in one or more boxes.

[0056] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0057] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash RAM. The memory is an example of computer-readable media.

[0058] Computer-readable media includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transitory media that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0059] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, article, or apparatus that comprises a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, article, or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, article, or apparatus that comprises the element.

[0060] Embodiments of the present invention are given for purposes of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. An efficient steam turbine power recovery enhancement system, characterized in that, Comprising: A steam turbine main body, an energy recovery device, a control module, and a power conversion module; the energy recovery device is used to recover the waste heat, waste gas, and mechanical energy loss generated during the operation of the steam turbine; the control module is used to monitor and control the operating state of the energy recovery device; the power conversion module is used to convert the recovered energy into electric energy and output it to the power grid.

2. The high-efficiency steam turbine power recovery enhancement system according to claim 1, characterized in that: The energy recovery device includes a waste heat recovery subsystem, an exhaust gas energy recovery subsystem, and a hydraulic energy recovery subsystem; the waste heat recovery subsystem is used to recover the waste heat in the steam turbine exhaust steam and the cooling water system to generate steam to drive a steam turbine to generate electricity; the exhaust gas energy recovery subsystem is used to recover the energy of the high-temperature and high-pressure exhaust gas discharged from the steam turbine and convert it into mechanical energy through an exhaust gas turbocharger to drive the intake air pressurization of the turbine; the hydraulic energy recovery subsystem is used to recover the energy during the braking or deceleration process of the turbine, store it through a hydraulic accumulator and release it when needed, and the energy recovery device introduces an energy recovery efficiency evaluation and optimization algorithm.

3. The high-efficiency steam turbine power recovery enhancement system according to claim 1, wherein: The control module includes sensors, a data acquisition unit, and an algorithm processing unit; the sensors are used to monitor the operating parameters of the steam turbine and external conditions in real time; the data acquisition unit is used to collect the data collected by the sensors and transmit it to the algorithm processing unit; the algorithm processing unit dynamically adjusts the working mode and parameters of the energy recovery device according to preset algorithms and models.

4. The highly efficient steam turbine power recovery enhancement system according to claim 3, wherein: An adaptive PID control algorithm is introduced into the control module to dynamically adjust the gain according to the error signal and time.

5. The high-efficiency steam turbine power recovery enhancement system according to claim 1, characterized in that: The power conversion module includes a rectifier, an inverter, and a filter; the rectifier is used to convert the recovered energy into direct current; the inverter is used to convert the direct current into alternating current; the filter is used to filter out harmonics and clutter in the alternating current.

6. The high-efficiency steam turbine power recovery enhancement system according to claim 1, wherein: In the power conversion module, a power conversion efficiency optimization algorithm is used to reduce energy loss and harmonic generation by optimizing the parameters of the power conversion module.

7. The highly efficient steam turbine power recovery enhancement system according to claim 1, wherein: The system further includes an intelligent monitoring module for remotely monitoring the operating state of the system, and the intelligent monitoring module uses machine learning algorithms to monitor the operating state of the system and diagnose faults.

8. A processor, characterized in that: Configured to execute an efficient steam turbine power recovery enhancement system according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: On which a computer program is stored, and when the computer program is executed by a processor, it implements an efficient steam turbine power recovery enhancement system according to any one of claims 1 to 7.

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