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Load control optimization method, system and equipment for parallel refrigerator system and medium

A technology of system load and optimization method, applied in mechanical equipment, air conditioning system, lighting and heating equipment, etc., can solve the problem of low energy efficiency of parallel chiller system, and achieve good energy saving optimization, good robustness and good energy saving effect. Effect

Pending Publication Date: 2022-03-29
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

[0004] Aiming at the technical problems existing in the prior art, the present invention provides a parallel chiller system load control optimization method, system, equipment and medium to solve the technical problem of low energy efficiency of the existing parallel chiller system, so as to achieve Under demand, the optimal load distribution control strategy

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  • Load control optimization method, system and equipment for parallel refrigerator system and medium
  • Load control optimization method, system and equipment for parallel refrigerator system and medium
  • Load control optimization method, system and equipment for parallel refrigerator system and medium

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Embodiment

[0091] The following takes the load control optimization process of a parallel chiller system in a central air-conditioning system as an example; figure 1 As shown, the parallel chiller system includes four chillers, and the four chillers are connected to the public distribution system through parallel pipelines to control the flow of water supply and return water; the cooling load required in the system is distributed to the four parallel chillers cold machine; because the rated capacity and performance curve of each cold machine are different, under the condition of meeting the cooling load demand, the load of each cold machine can be optimally distributed, so that each cold machine can work at its best Click run.

[0092] This embodiment provides a load control optimization method for a parallel chiller system, which specifically includes the following steps:

[0093] Step 1. Establish the power consumption model of the chiller and the power consumption model of the parall...

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Abstract

The invention discloses a parallel refrigerator system load control optimization method, system and device and a medium, and the method comprises the steps: determining a to-be-optimized control variable of a parallel refrigerator system through a power consumption model of the parallel refrigerator system according to an optimization target; optimizing the to-be-optimized control variable of the parallel refrigerator system by adopting an improved parallel particle swarm algorithm to obtain an optimal control variable of the parallel refrigerator system, namely a load control optimization result of the parallel refrigerator system; two different population initialization mode improvement strategies, two different nonlinear decreasing inertia weight improvement strategies and a new immigrant operator are introduced into the improved parallel particle swarm algorithm. According to the method, the search capability of the populations is improved, information between the two populations is exchanged, the internal balance of the populations is broken, the diversity of the populations is enhanced, and the populations are evolved to a higher level; the optimization process has better convergence, the calculation complexity is low, the robustness is good, and a better energy-saving effect is achieved.

Description

technical field [0001] The invention belongs to the technical field of HVAC system control, and in particular relates to a load control optimization method, system, equipment and medium of a parallel refrigerator system. Background technique [0002] In recent years, HVAC systems have been widely used in modern large-scale buildings. As the main energy-consuming equipment of HVAC systems, chillers account for about 40% of the total energy consumption of HVAC systems; in most practical applications Among them, considering the reserve capacity, operating flexibility and very important operating efficiency under partial load, several chillers are usually connected in parallel into a group to form a parallel chiller system. [0003] The energy consumption of the parallel chiller system is not only determined by the characteristics of the chiller itself, but also related to the load distribution strategy between the chillers under different load demands; therefore, how to formula...

Claims

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Application Information

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IPC IPC(8): G06F30/25F24F11/46F24F5/00
CPCG06F30/25F24F5/0007F24F11/46
Inventor 于军琪宗悦赵安军高之坤虎群
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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