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Low-temperature heat real-time optimization system based on general algorithm sequential quadratic programming (GA-SQP) mixed optimization strategy

An optimization strategy, low-temperature heat technology, applied in general control systems, control/regulation systems, instruments, etc., can solve the problems of lack of measurement instruments at key nodes, dispersion of measurement points, dispersion of heat sources and heat sinks, etc., to achieve online simulation real-time optimization Effect

Active Publication Date: 2012-02-22
SHANGHAI YOUHUA PROCESS INTEGRATED TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. The system is huge and complex, involving many devices, heat sources and heat sinks are scattered, and it is difficult to manage and dispatch in a unified manner;
[0004] 2. The measurement points are scattered, and some key nodes lack measurement instruments, so it is difficult for managers to fully grasp the real-time operation status of the system;
[0005] 3. Management stays at the stage of empirical operation, lacking a reasonable mathematical optimization model to assist dispatchers in decision-making, limited by the processing plan, processing load, climate environment, and management personnel's business level, the system operation often deviates from the optimal point, and the energy-saving effect does not reach the design value

Method used

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  • Low-temperature heat real-time optimization system based on general algorithm sequential quadratic programming (GA-SQP) mixed optimization strategy
  • Low-temperature heat real-time optimization system based on general algorithm sequential quadratic programming (GA-SQP) mixed optimization strategy
  • Low-temperature heat real-time optimization system based on general algorithm sequential quadratic programming (GA-SQP) mixed optimization strategy

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Embodiment Construction

[0021] The present invention will be further described now in conjunction with accompanying drawing.

[0022] see figure 1 , figure 2 , image 3 , Figure 4 and Figure 5 , the present invention includes a real-time database, a low-temperature thermal system soft sensor module, an energy consumption optimization module, a user interface and a Flash-based real-time information publishing module, and is characterized in that: the process control system transmits the collected process data such as temperature, pressure and flow to Real-time database; the real-time data is transmitted to the soft measurement module, the data is corrected, and the output soft measurement calculation results are stored in the real-time database; the user configures the real-time model parameters through the application operation interface: energy consumption conversion coefficient, and stores it in the real-time database; energy consumption The optimization module reads real-time data through t...

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Abstract

The invention relates to the field of advanced manufacture and automation, in particular to a low-temperature heat real-time optimization system based on the general algorithm sequential quadratic programming (GA-SQP) mixed optimization strategy, which comprises a real-time data base, a low-temperature heat system soft measurement module, an energy consumption optimization module, a user interface and a real-time information issuing module based on Flash. Compared with the prior art, the low-temperature heat real-time optimization system has the advantages that the flow process simulation technology and the exergy economics are used as the basis for building a low-temperature heat system simulation and optimization model, a mixed solving strategy of combining the classical mathematical programming sequence secondary planning SQP and the novel group intelligent optimization algorithm GA is adopted for solving the nonlinear optimization model, and the real-time data base technology is used for collecting real-time information in the production process, so the real-time monitoring, the off-line emulation, the on-line simulation and the real-time optimization are realized.

Description

technical field [0001] The invention relates to the field of advanced manufacturing and automation, in particular to a low-temperature thermal real-time optimization system based on a GA-SQP hybrid optimization strategy. Background technique [0002] In recent years, petrochemical enterprises have explored the low-temperature thermal system of the whole plant under the framework of "comprehensive utilization of large-scale system energy", and formed a new low-temperature comprehensive utilization system covering multiple production devices. These new low-temperature heat comprehensive utilization systems have greatly reduced the energy consumption of enterprises and achieved huge economic benefits. However, the following problems generally exist in the operation of the new low-temperature heat comprehensive utilization system: [0003] 1. The system is huge and complex, involving many devices, heat sources and heat sinks are scattered, and it is difficult to manage and dis...

Claims

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Application Information

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IPC IPC(8): G05B17/02
Inventor 马素娟廖兴发张高博陈继宋国营
Owner SHANGHAI YOUHUA PROCESS INTEGRATED TECH CO LTD
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