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Optimization control method for reducing total resource consumption of system

A technology of resource consumption and optimization control, applied in data processing applications, prediction, computing and other directions, can solve the problems of low scalability, low versatility, poor robustness, etc., and achieve the effect of strong scalability

Inactive Publication Date: 2017-01-04
LYNKROS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Usually, the solution to this kind of problem is to collect global information to the central head, and an upper-level intelligent decision maker will optimize the assignment of tasks after considering the global information. However, the disadvantage of this solution is that the decision-making The formulation efficiency is low, the adaptability is poor, and the scalability is not strong. If the system changes or expands a little, it needs to re-collect and describe the global information and change the algorithm at the central head, resulting in poor versatility and poor robustness. shortcoming

Method used

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  • Optimization control method for reducing total resource consumption of system
  • Optimization control method for reducing total resource consumption of system
  • Optimization control method for reducing total resource consumption of system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0049] According to an embodiment of the first aspect of the present invention, the control method can be applied to a water pump system to implement group control of the water pump system to save energy consumption of the water pump system. After being specifically applied to the water pump system, the present invention provides an optimal control method for reducing the power consumption of the water pump system. Each water pump in the water pump system becomes a functional module, and the total task completed by all the water pumps—the amount of water delivered must meet the end The total water demand, each water pump needs to consume a certain amount of electric power while completing a certain amount of water delivery, and the performance of each water pump—that is, the efficiency of the water pump—conforms to a certain functional relationship with its water flow (this functional relationship It is defined by the performance curve of the water pump. The performance curve o...

Embodiment 2

[0101] According to an embodiment of the second aspect of the present invention, the control method can be applied to a chiller system to complete group control of the chiller system to save energy consumption of the chiller system. After being specifically applied to the chiller system, the present invention provides an optimal control method for reducing the power consumption of the chiller system. Each chiller in the chiller system becomes a functional module, and the total task completed by all chillers—that is, The total cooling load value provided needs to meet the total cooling load demand at the end. Each cooling machine needs to consume a certain amount of electricity while providing a certain cooling load. The performance of each cooling machine—that is, the overall efficiency of the cooling machine— It conforms to a certain functional relationship with its cooling load value (this functional relationship is defined by the performance curve of the chiller, and the per...

Embodiment 3

[0129]According to an embodiment of the third aspect of the present invention, the control method can be applied to a cooling tower system to complete group control of the cooling tower system. After being specifically applied to the cooling tower system, the present invention provides an optimal control method for distributing cooling water to each cooling tower in the system. The cooling tower system includes several functional modules—each cooling tower is a functional module, and all The total task completed by the cooling tower—that is, the cooling water flow that needs to be cooled must meet the total cooling water flow demand of the system. The cooling water flow of each cooling tower must be higher than the lower flow limit, and the more open The more the better, the task allocation includes the following steps: each cooling tower performs information exchange to complete the system operation, and the cooling water flow value of each cooling tower is obtained after the ...

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Abstract

The invention provides an optimization control method for reducing total resource consumption W of a system. The system comprises a plurality of functional modules, wherein a total task Sigma Qi completed by all the functional modules must satisfy a total task demand Q0, each functional module needs to consume a certain amount of resources Wi when completing a task Qi, efficacy Ei of each functional module and the task Qi completed by the same conform to a function relationship, and the resource consumption Wi of each functional module is positively correlated with the task Qi completed by the same and is negatively correlated with the efficacy Ei. The optimization control method comprises the step of allocating a total task of the system to the functional modules, and total resource consumption Sigma Wi of the system is the lowest or relatively low under the task allocation. The optimization control method can be applied to systems with similar task allocation requirements, and has the advantages of high extensibility and high control efficiency. The invention further provides the optimization control method which is used for allocating tasks to functional units in the system.

Description

technical field [0001] The invention relates to the field of optimal control, in particular to an optimal control method for reducing the total resource consumption of the system Background technique [0002] In the related art, there is a similar technical problem in many technical fields, that is, how to make a group of devices or devices work together so that when the group of devices or devices complete a certain amount of total task requirements, the energy consumed by these devices or devices or The resources are the lowest, or certain constraints of these devices or devices are met, so this type of technical problem can be called an optimal allocation problem. [0003] For example, in a group of cooling machines in a central cooling station, the total cooling capacity provided by these cooling machines must meet the cooling demand of the terminal equipment, that is, the difference between the total cooling capacity provided by the cooling machines and the cooling capa...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 姜子炎代允闯沈启
Owner LYNKROS TECH CO LTD