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Desulfurization system operation optimization method and information physical fusion system

A cyber-physical fusion and desulfurization system technology, which is applied in the field of desulfurization system operation optimization methods and cyber-physical fusion systems, can solve problems such as the difficulty in realizing WFGD system economy and timeliness, power consumption, and increased operating costs

Pending Publication Date: 2021-06-08
HUNAN DATANG XIANYI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In actual operation, the operation optimization and adjustment of WFGD system often rely on the knowledge accumulation and experience of power plant technicians as a reference adjustment. However, the technical level of technicians has certain differences and subjectivity. The economy and timeliness of operation optimization often result in unnecessary power consumption and increased operating costs

Method used

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  • Desulfurization system operation optimization method and information physical fusion system
  • Desulfurization system operation optimization method and information physical fusion system
  • Desulfurization system operation optimization method and information physical fusion system

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no. 1 example ；

[0028] refer to Figure 1 to Figure 3 , an embodiment of the present invention provides a desulfurization system operation optimization method, comprising the following steps:

[0029] S101. According to the operating parameters affecting the desulfurization efficiency of the desulfurization system, construct a desulfurization efficiency prediction model based on multiple neural network ensemble learning.

[0030] The performance of the desulfurization system is evaluated by desulfurization efficiency, and the quantitative relationship between desulfurization efficiency and the coupling of various operating variables is not well defined. Therefore, in this step, according to the operating parameters that affect the desulfurization efficiency of the desulfurization system, a desulfurization efficiency prediction model based on multiple neural network ensemble learning is constructed, and the quantitative relationship between desulfurization efficiency and operating parameters i...

no. 2 example ；

[0038] refer to Figure 4 , the embodiment of the present invention provides a cyber-physical fusion system and a desulfurization system operation optimization method based on the cyber-physical fusion system. The system includes a physical layer, a big data platform layer, a control decision-making layer and a digital twin layer, wherein:

[0039] The physical layer includes a measuring device and an actuator. The measuring device is used to collect the operating parameters of each device in the desulfurization system in real time and send the collected operating parameters to the big data platform layer; the executing agency is used to receive optimized execution instructions fed back from the control decision-making layer , and perform a corresponding optimization operation on a corresponding device according to the optimization execution instruction.

[0040] The big data platform layer includes ETL data warehouse, model calculator, Kafka (subscription message flow process...

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Abstract

The invention discloses a desulfurization system operation optimization method and an information physical fusion system, and the method comprises the steps: constructing a desulfurization efficiency prediction model based on integrated learning of a plurality of neural networks, and accurately obtaining a quantitative relation between desulfurization efficiency and operation parameters; then, taking the marginal profit of the desulfurization system as an optimization target function, taking the adjustable parameters as optimization independent variables, and obtaining the optimal value of the adjustable parameters and the optimal value of a prediction result through a genetic function nonlinear extreme value optimization method; finally, correspondingly adjusting each device of the desulfurization system through the obtained optimal value. Real-time dynamic operation optimization of the desulfurization system is achieved under the condition that the multi-parameter coupling property and the time-varying property of the desulfurization system are considered. The system forms closed-loop control and execution operation through the control decision layer, the big data platform layer and the physical layer, and solves the problem that real-time dynamic operation optimization and accurate closed-loop control execution are difficult to perform through systematization under the condition of considering multi-parameter coupling and time-varying characteristics of the desulfurization system.

Description

technical field [0001] The invention relates to the technical field of energy-saving optimized desulfurization systems in coal-fired power plants, in particular to an operation optimization method for a desulfurization system and a cyber-physical fusion system. Background technique [0002] With the rapid growth of power construction and flue gas SO 2 Emission requirements are becoming increasingly stringent. In recent years, Wet Flue Gas Desulfurization (WFGD) systems have been widely installed in thermal power units in my country. While reducing the emission of air pollutants from power plants and improving the environment, it also significantly increases energy consumption. In actual operation, the operation optimization and adjustment of WFGD system often rely on the knowledge accumulation and experience of power plant technicians as a reference adjustment. However, the technical level of technicians has certain differences and subjectivity. The economy and timeliness ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/04G06N3/08B01D53/34B01D53/48B01D53/80
CPCG06Q10/04G06Q50/06G06N3/086B01D53/346B01D53/48B01D53/80B01D2258/0283G06N3/044
Inventor 张宇肖祥武刘文哲周宏贵王银河尹晓峰李志金王鹏皓舒畅文雯胡蓉任资龙姜鑫周慧闵怡丁伟罗斌张博张敏
Owner HUNAN DATANG XIANYI TECH CO LTD