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Operation optimization method of desulfurization system based on improved pso-fcm algorithm

A desulfurization system and algorithm technology, applied in the field of data processing, can solve the problems that the algorithm falls into the local extreme value, the operation adjustment method is difficult to use the operation optimization adjustment, and the influence of the variable frequency pump is not considered, so as to achieve flexible adjustment method and avoid falling into local optimal effect

Active Publication Date: 2022-03-18
DATANG ENVIRONMENT IND GRP +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing adjustment technologies are often only aimed at the adjustment of fixed-frequency pumps, without considering the impact of variable-frequency pumps on the entire system
[0008] (3) The traditional FCM algorithm needs to manually determine the initial cluster center and the number of clusters, which has great subjectivity and uncertainty, and the algorithm is easy to fall into local extremum
[0009] (4) Since the switching of the pump takes a certain amount of time, and parameters such as pH and slurry density have a certain time delay, it is difficult to apply the existing operation adjustment methods to the actual operation optimization adjustment

Method used

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  • Operation optimization method of desulfurization system based on improved pso-fcm algorithm
  • Operation optimization method of desulfurization system based on improved pso-fcm algorithm
  • Operation optimization method of desulfurization system based on improved pso-fcm algorithm

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Embodiment

[0117] Taking a 600MW unit as the object of analysis, the main equipment of the system includes 1 booster fan, 4 ordinary slurry circulation pumps (A, B, C, E), 1 frequency conversion slurry circulation pump, 3 oxidation fans (2 Yun 1 equipment), 2 ball mills (1 transport and 1 equipment). The unit undertakes the task of peak regulation for a long time, and the load changes within the range of 50%-100%.

[0118] 1. First, build the operation target working condition library:

[0119] In the one-month operating data from August 1, 2018 to September 1, 2018, the main monitoring parameter values ​​are taken when the typical load is 350MW and the load neighborhood ΔP=±5MW. at the entrance SO 2 612 samples whose concentrations were in the range of 2500-2750mg / Nm3 were subjected to cluster analysis.

[0120] (1) Import the operation data of the desulfurization system of the power station and perform data cleaning on it to eliminate abnormal data. Identify and delete data points ...

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Abstract

This application relates to a desulfurization system operation optimization method based on the improved PSO-FCM algorithm. The method includes: using the improved PSO-FCM algorithm to cluster sample data, and establishing a desulfurization system operation target working condition library; using the ARIMA model to perform desulfurization. Predict the boundary conditions; guide the adjustment of desulfurization operating parameters. Compared with the existing technology, it takes into account the parameters closely related to the desulfurization operation cost, such as pH and slurry density, and solves the problem of regulating and circulating pumps in the combination of variable frequency pumps and ordinary fixed frequency pumps in power plants at the same time, and can perform multi-parameter synchronous adjustment , the adjustment method is more flexible. The traditional FCM algorithm is improved. In view of the shortcomings of the traditional FCM, which are greatly affected by the initial clustering center, it is easy to fall into a local optimum, and the number of clusters is uncertain. Using the PSO algorithm to optimize it can avoid falling into a local optimum. At the same time, the clustering validity evaluation function is introduced to determine the number of clusters with the best clustering effect.

Description

technical field [0001] This application relates to the field of data processing, in particular to a desulfurization system operation optimization method based on the improved PSO-FCM algorithm. Background technique [0002] SO 2 It is one of the main pollutants in the atmosphere. As a large coal-fired power unit in my country, SO 2 main source of emissions. Therefore, the reduction of SO in thermal power plants 2 Emissions are the focus of pollution control. [0003] Limestone / gypsum wet flue gas removal of sulfur dioxide is the SO2 commonly used in power plant boilers in my country. 2 Removal technology, by injecting limestone slurry and SO in flue gas 2 A chemical reaction is carried out to achieve the purpose of desulfurization. According to my country's increasingly stringent environmental protection regulations, the desulfurization system needs to operate continuously, reliably and efficiently, but the desulfurization system is reducing the power plant SO 2 While...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/00G06K9/62
CPCG06Q10/04G06Q50/06G06N3/006G06F18/23213Y04S10/50Y02E40/70
Inventor 陶君谷小兵李建强孟智超孟磊徐贤宁翔蒋志容李婷彦白玉勇魏建鹏闫欢欢
Owner DATANG ENVIRONMENT IND GRP
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