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Hierarchical optimization method for united cold supply system

An optimization method and cold system technology, applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as large amount of calculation and complex methods

Active Publication Date: 2015-09-09
SHANGHAI JIAO TONG UNIV
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  • Abstract
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Problems solved by technology

For the dynamic control of distributed systems, it has been transformed from a centralized to a distributed control structure, because centralized control will lead to complex methods and a large amount of calculation

Method used

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  • Hierarchical optimization method for united cold supply system
  • Hierarchical optimization method for united cold supply system
  • Hierarchical optimization method for united cold supply system

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Embodiment Construction

[0072] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention. The following is a further detailed description of the hierarchical optimization method of the combined cooling system composed of a conventional electric refrigerator and an ice storage system according to the present invention in conjunction with the accompanying drawings.

[0073] Such as figure 1 As shown, it is a combined cooling system structure composed of a conventional electric refrigerator and an ice storage system.

[0074] figure 2 It is a flowchart of a stepwise optimization method f...

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Abstract

The invention provides a hierarchical optimization method for a united cold supply system consisting of a conventional electric refrigerator and an ice storage system. The method comprises the steps of optimizing the on-state and the optimal power setting value of each cold source by adopting a mixed integer programming method according to the economic model of each cold source and the time-of-use power price policy, designing a target-coupled coordinated distributed prediction control method to better improve the dynamic performance of the system in view of the dynamic adjusting characteristic and physical constraint of each cold source, and newly optimizing the setting value of each cold source under a distributed framework, so that each cold source ensures the total load in the dynamic process and tracks the optimal refrigerating power setting value as much as possible at the same time. The method quantitatively solves the steady and dynamic scheduling problem of the united cold supply system by adopting mixed integer programming and distributed prediction control methods respectively, and provides a rational suggestion for energy management and optimization scheduling of the cold supply system.

Description

technical field [0001] The invention relates to the field of energy network scheduling, in particular to a hierarchical optimization method for a combined cooling system composed of a conventional electric refrigerator and an ice storage system. Background technique [0002] Due to the common shortage of land in large cities, high-rise buildings have become an ideal choice for urban designers in order to use limited land area to maximize urban capacity. High-rise buildings often have an independent cooling network to provide various cooling needs of the entire building. With the emergence of various emerging technologies and the promotion of the time-of-use electricity price policy, the economic benefits of the cooling system using only conventional electric refrigeration units are not satisfactory. In order to improve the economic benefits of the cooling system of high-rise buildings, multi-cooling units complement each other The system is becoming more and more common. A...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 蔡旭刘楚晖郑毅
Owner SHANGHAI JIAO TONG UNIV
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