CN-121977382-A - Indirect cooling tower cooling triangle season self-adaptive energy-saving operation method based on wind energy recovery

CN121977382ACN 121977382 ACN121977382 ACN 121977382ACN-121977382-A

Abstract

The invention relates to the technical field of energy-saving operation optimization in industrial and agricultural production, and discloses a seasonal self-adaptive energy-saving operation method of a cooling triangle of an indirect cooling tower based on wind energy recovery, which is applied to an indirect cooling tower system provided with a wind energy recovery device and a cooling triangle with an adjustable structure. The method and the device realize the season self-adaptive operation of the indirect cooling tower by dynamically identifying the winter and summer double operation modes, cooperatively optimize the parameters of the cooling triangle and the wind energy recovery device in summer, promote heat dissipation and reduce back pressure, maximize the recovery wind energy to generate electricity in winter, rely on the self-adaptive sliding mode control of the structure working condition coupling factor and the fusion equipment dynamics, enhance the robustness and the stability of the system, upgrade the wind energy recovery device into double-function equipment, change the indirect cooling tower from passive cooling into active energy utilization, and remarkably promote the comprehensive energy efficiency, economic value and social benefit.

Inventors

ZHAO TIANZHONG
PEI YUEHUI
YANG HONGRI

Assignees

建投国电准格尔旗能源有限公司

Dates

Publication Date: 20260505
Application Date: 20251211

Claims (10)

1. The seasonal self-adaptive energy-saving operation method of the cooling triangle of the indirect cooling tower based on wind energy recovery is applied to an indirect cooling tower system provided with a wind energy recovery device and a structure-adjustable cooling triangle, and is characterized by comprising the following steps of: S1, multisource data acquisition and fusion processing, namely synchronously acquiring working condition parameters and structural state parameters of the cooling triangular region in real time, and carrying out filtering, standardization and coupling processing on the acquired data to generate fusion data; S2, identifying a season self-adaptive operation mode, namely calculating a discrimination index through a mode discrimination model based on the fusion data, wherein the current operation mode of the dynamic identification system is a summer enhanced cooling mode or a winter wind power generation mode; s3, cooperatively generating target operation parameters of the wind energy recovery device according to the identified operation mode, the real-time working condition and the structural state parameters; S4, self-adaptive tracking control of operation parameters, namely dynamically adjusting the actual operation parameters of the wind energy recovery device by adopting a control algorithm fused with the dynamic characteristics of the wind energy recovery device so as to track the target control parameters; s5, multi-objective online optimization and parameter adjustment, namely based on the established comprehensive efficiency index of the system, updating the discrimination threshold value of the mode discrimination model and the control parameters of the control algorithm online by utilizing an optimization algorithm; And S6, identifying and processing the classified abnormal working conditions, namely executing a corresponding classified processing strategy according to the type and the grade of the monitored abnormal working conditions.
2. The method for cooling delta season self-adaptive energy-saving operation of the indirect cooling tower based on wind energy recovery according to claim 1, wherein the step S1 specifically comprises the following steps: The working condition parameters at least comprise the internal and external pressure difference, the ambient wind speed and the ambient temperature of the cooling triangular region; the structural state parameters at least comprise the fin spacing and the windward inclination angle of the cooling triangle; The coupling processing comprises calculating a structural condition coupling factor reflecting the dynamic association relation between the structural state parameter and the condition parameter The calculation formula is as follows: In which, in the process, For the reference distance to be a reference distance, For the optimal conduction angle at the current wind speed, To cool the fin pitch of the triangle, For cooling the windward side inclination angle of the triangle, And For coupling the weighting coefficients.
3. The method for cooling delta season self-adaptive energy-saving operation of the indirect cooling tower based on wind energy recovery according to claim 2, wherein the step S2 specifically comprises the following steps: s21, extracting a multi-dimensional characteristic parameter from the fusion data, wherein the multi-dimensional characteristic parameter at least comprises a pressure difference distribution characteristic, a wind speed trend characteristic, a temperature change characteristic and a structure adaptation characteristic represented by the structure working condition coupling factor; s22, mode discrimination, namely inputting the multi-dimensional characteristic parameters into the mode discrimination model, and calculating to obtain a mode discrimination index; S23, mode decision and locking, namely comparing the mode discrimination index with a preset high threshold value and a preset low threshold value to determine the current running mode, and starting a time locking mechanism for preventing frequent switching after the mode is switched.
4. The cooling delta season self-adaptive energy-saving operation method for an indirect cooling tower based on wind energy recovery according to claim 3, wherein in step S3, the target control parameters include a target rotational speed and a target pitch angle; When the system is in a summer intensified cooling mode, the generation of the target rotating speed is positively related to the internal and external pressure difference and the ambient wind speed and is related to the space between the radiating fins; when the system is in a winter wind power generation mode, the generation of the target rotating speed is determined according to a preset saturation function based on the internal and external pressure difference so as to maintain an optimal tip speed ratio, and the generation of the target pitch angle is adjusted based on the deviation between the current wind speed and the preset optimal wind speed so as to stabilize the output power.
5. The cooling delta season self-adaptive energy-saving operation method of the indirect cooling tower based on wind energy recovery according to claim 4, wherein in step S4, the control algorithm is a self-adaptive sliding mode control algorithm; The dynamic characteristics of the wind energy recovery device are introduced into the design of the controller by taking data reflecting the mechanical state of equipment monitored in real time as feedback signals; the self-adaptive sliding mode control algorithm comprises a switching control gain term, and the gain term can be adaptively adjusted according to the amplitude of the system state deviation and the equipment load state so as to weaken buffeting and accelerate approaching speed.
6. The method for three-season self-adaptive energy-saving operation of indirect cooling tower based on wind energy recovery according to claim 5, wherein in step S22, said pattern discrimination index Calculated by the following model: wherein , In which, in the process, Representing the weighted distance between the current feature vector and the summer reference pattern feature center; representing the weighted distance between the current feature vector and the center of the winter reference mode feature; Is a scale adjustment factor; Is the first The normalized multidimensional characteristic parameters are normalized; 、 Respectively the first A reference center value and a reference standard deviation of each characteristic parameter in a summer mode; 、 Respectively the first A reference center value and a reference standard deviation of each characteristic parameter in winter mode; Is the first And the dynamic weight of each characteristic parameter has a value which is in a functional relation with the historical statistical variance of the characteristic parameter and the current environment temperature.
7. The method for three-season self-adaptive energy-saving operation of cooling tower based on wind energy recovery according to claim 6, wherein in step S5, the system comprehensive efficiency index is obtained According to the operation mode, the method is calculated according to the following formulas: Summer intensive cooling mode: ; Summer intensive cooling mode: ; In the formula, The ratio of the actual heat exchange amount to the theoretical maximum heat exchange amount; the ratio of the effective wind speed flowing through the cooling triangle to the reference wind speed; a ratio of the power consumed by the wind energy recovery device in the motor mode to the rated power thereof; the ratio of the electric power output by the wind energy recovery device in the generator mode to the maximum generatable power of the current wind energy theory is given; is the ratio of the actual internal and external pressure difference to the reference pressure difference; the ratio of the additional pressure loss to the rated pressure difference caused by adding the wind energy recovery device; a factor characterizing a wear state of the device calculated based on the vibration data; the structural working condition coupling factor is the structural working condition coupling factor; To the point of The non-dimensional performance weighting coefficient is calibrated according to the characteristics of the system equipment.
8. The method for three-season self-adaptive energy-saving operation of cooling tower based on wind energy recovery according to claim 7, wherein said on-line optimization in step S5 is performed to maximize said system comprehensive performance index For the purpose, adopting a gradient descent strategy based on momentum to optimize parameter vectors comprising a high threshold value, a low threshold value of the mode discrimination model and key parameters of the self-adaptive sliding mode control algorithm And carrying out iterative updating, wherein the parameter updating law is as follows: In which, in the process, Is the first Parameter vectors of the secondary iterations; is the learning rate; Is a momentum factor; To optimize the objective function The gradient of the optimization objective function Negative correlation to the system integrated performance index 。
9. The method for cooling delta season self-adaptive energy-saving operation of indirect cooling tower based on wind energy recovery according to claim 8, wherein the step S6 specifically comprises: S61, abnormality detection and classification, namely monitoring the running state of a system in real time, and classifying abnormal working conditions into three classes of general abnormality, serious abnormality and emergency fault according to the buffeting amplitude value, the equipment overload degree and the degree that the structural adaptation degree of the device is lower than a safety threshold; S62, grading: aiming at general anomalies, adjusting gain parameters of the control algorithm to inhibit buffeting; aiming at serious abnormality, reducing a load target value of equipment and limiting the maximum rotating speed; and aiming at the emergency fault, triggering the structural parameters of the cooling triangle to be adjusted to a safe position, forcibly stopping the machine and resetting the control parameters.
10. The wind energy recovery-based cooling delta seasonal adaptive energy saving operation method for an indirect cooling tower according to any of claims 1 to 9, wherein: the wind energy recovery device is a rotary machine with the bidirectional reversible operation capability of a motor and a generator; The fin spacing and/or windward side inclination angle of the structure-adjustable cooling triangle are/is adjusted by a hydraulic or electric driving mechanism; the method is operated in a local intelligent controller which is respectively in communication connection with a frequency converter of the wind energy recovery device, the driving mechanism and a distributed control system of the power plant through an industrial bus.

Description

Indirect cooling tower cooling triangle season self-adaptive energy-saving operation method based on wind energy recovery Technical Field The invention relates to the technical field of energy-saving operation optimization in industrial and agricultural production, in particular to a cooling triangle season self-adaptive energy-saving operation method of an indirect cooling tower based on wind energy recovery. Background The indirect air cooling technology is widely applied to heat dissipation of process cooling or condensers in industries such as thermal power, chemical industry and the like to save precious water resources, wherein an indirect cooling tower is used as core equipment, the cooling performance of the indirect cooling tower directly influences the operation efficiency and economy of the whole system, a cooling triangular area is used as a core heat dissipation unit of the indirect cooling tower, the indirect cooling tower is composed of an array type radiating fin, a supporting frame and an airflow channel, the indirect cooling tower is a key place for realizing heat exchange of air and a circulating working medium, the matching degree of structural parameters and operation working conditions of the indirect cooling tower directly determines the heat dissipation efficiency, the traditional operation strategy of the indirect cooling tower is usually fixed or is controlled based on simple experience, and the structural parameters of the cooling triangular area are mainly of fixed design, so that the optimal cooling effect and energy consumption level are difficult to achieve when the system load changes in face of seasonal changes and environmental wind condition fluctuations. In the prior indirect cooling tower system, the cooling triangular region is easy to cause insufficient cooling capacity due to unreasonable air flow organization under the extremely high-temperature and high-load working condition in summer, so that the back pressure is increased to influence the power generation efficiency of a host machine, in winter, particularly under the strong wind condition, the region is excessively cooled to possibly cause icing of cooling fins or supercooling of working medium, meanwhile, the air flow energy formed by the ambient wind energy and the pressure difference between the inside and the outside of the region cannot be effectively utilized, at present, some researches try to enhance the cooling capacity by changing the structural parameters of a cooling unit or introducing an auxiliary fan, but the schemes generally lack the capability of dynamically and adaptively adjusting the structural parameters and the running state of the cooling triangular region according to the ambient condition, and fully consider the recycling of the wind energy, for example, part of the indirect cooling tower is introduced with the fan to perform forced ventilation, but the fans are mostly operated independently, the control strategy is not coupled with the ambient wind condition, the pressure difference between the inside and the outside and the cooling triangular region and the heat dissipation requirement to be high in energy consumption, and in addition, the cooling unit with the structure adjustable function often depends on preset fixed rules, and the intelligent adaptation of the heat exchange efficiency and the wind energy utilization potential of the cooling triangular region under the complex variable working conditions cannot be realized. Therefore, the intelligent operation method capable of sensing environmental changes in real time, adaptively adjusting the operation mode, cooperatively optimizing the cooling triangular region cooling and wind energy recovery process and effectively handling abnormal working conditions is developed, and has important significance in improving the overall efficiency and economy of the indirect cooling tower. Disclosure of Invention The invention aims to solve the technical problems that the conventional indirect cooling tower operation optimization generally lacks an effective recycling mechanism for environmental wind energy, the wind energy recycling and cooling processes are difficult to be tightly combined to realize seasonal intelligent switching and collaborative optimization of cooling requirements and wind energy power generation, and the structure-adjustable cooling unit is regulated by depending on preset fixed rules and lacks dynamic self-adaptive regulation capability for complex and variable working conditions. In order to achieve the purpose, the application adopts the following technical scheme that the seasonal self-adaptive energy-saving operation method of the cooling triangle of the indirect cooling tower based on wind energy recovery is applied to an indirect cooling tower system provided with a wind energy recovery device and a cooling triangle with an adjustable structure, and comprises the following steps: S1, multisource data acquisition