CN-121993995-A - Cooling energy-saving control method and system based on multi-system cooperation

CN121993995ACN 121993995 ACN121993995 ACN 121993995ACN-121993995-A

Abstract

The invention discloses a cooling energy-saving control method and a cooling energy-saving control system based on multi-system cooperation, wherein the cooling energy-saving control method based on multi-system cooperation comprises the steps of S1, collecting operation state parameters of all subsystems and time-of-use electricity price signals of an external power grid in real time, wherein all subsystems comprise a cold source subsystem, an output subsystem, a heat dissipation subsystem and a cold storage subsystem, S2, constructing and solving a multi-objective optimization function by taking the lowest total operation cost and the highest comprehensive energy efficiency ratio as collaborative optimization targets to generate a global operation strategy for coordinating the linkage of all subsystems, S3, analyzing the global operation strategy into a collaborative group control instruction set of execution equipment in all subsystems, and S4, executing the collaborative group control instruction set to perform collaborative variable frequency control on execution equipment.

Inventors

CHEN DONGBO
HUANG KANG
YAO HAILIANG
YANG HAN
CHU RUYUAN
HU JUN
YUAN QIU
QIU CHENGLONG
SHEN SHUSHU
YIN HONGTAO
HUANG ZHANHONG

Assignees

浙江浙能德清分布式能源有限公司

Dates

Publication Date: 20260508
Application Date: 20251218

Claims (10)

1. The cooling energy-saving control method based on multi-system cooperation is characterized by comprising the following steps of: S1, collecting running state parameters of all subsystems and time-sharing electricity price signals of an external power grid in real time, wherein each subsystem comprises a cold source subsystem, a transmission subsystem, a heat dissipation subsystem and a cold storage subsystem; s2, constructing and solving a multi-objective optimization function by taking the lowest total operation cost and the highest comprehensive energy efficiency ratio as collaborative optimization targets, and generating a global operation strategy for coordinating the linkage of all subsystems; S3, analyzing the global operation strategy into a collaborative group control instruction set of the execution equipment in each subsystem; S4, executing a cooperative group control instruction set, and performing cooperative frequency conversion control on the execution equipment.
2. The cooling energy-saving control method based on the multi-system coordination according to claim 1 is characterized in that the operation state parameters in the step S1 at least comprise host power consumption and refrigerating capacity of a cold source subsystem, water pump frequency and power consumption of an input subsystem, cooling tower fan frequency, power consumption and cooling water return water temperature of a heat dissipation subsystem, a real-time cold storage state of the cold storage subsystem obtained through a cold storage amount calculation model and total cold load reflecting total requirements of the system.
3. The cooling energy-saving control method based on multi-system coordination according to claim 1, wherein the global operation strategy in the step S2 at least comprises a cold accumulation charging and discharging time sequence strategy based on time-of-use electricity price signals, wherein the cold accumulation charging and discharging time sequence strategy is that charging is controlled at an electricity price valley section, discharging is controlled at an electricity price peak section, and loads of a cold source subsystem are reduced, and charging and discharging are not performed at an electricity price flat section.
4. The cooling energy-saving control method based on multi-system cooperation according to claim 3, wherein the cooperative group control instruction set in step S3 specifically includes: Determining the running number of water chilling units in the cold source subsystem according to the total cold load, and distributing load for each water chilling unit; The frequency of a primary freezing water pump, a secondary freezing water pump and a cooling water pump in the transmission subsystem is adjusted in a linkage mode according to the distributed load; The frequency and the number of operation of the cooling tower fans in the cooling subsystem are adjusted according to the temperature of the cooling water backwater, wherein a time balance rotation mechanism is introduced to the start-stop control of the cooling tower fans; Based on the time-sharing electricity price signal and the cold accumulation state, an instruction for controlling the cold accumulation pump or the cold release pump in the cold accumulation subsystem to operate is generated under the cooperation of the cold source subsystem and the transmission subsystem so as to realize cold charging or cold releasing.
5. The cooling energy-saving control method based on multi-system coordination according to claim 2, wherein the analysis in the step S3 is further based on a real-time cold accumulation state to dynamically adjust the power and duration of cold charging and discharging in the cold accumulation charging and discharging time sequence strategy.
6. The method of claim 1, wherein the step S4 further comprises executing a collaborative group control instruction set by a newly added optimizing control system and an original basic control system, and allocating control authorities between the newly added optimizing control system and the original basic control system by logic switching variables, wherein different states of the logic switching variables are controlled solely by the original basic control system or controlled by the newly added optimizing control system.
7. The multi-system collaboration-based cooling energy-saving control method as claimed in claim 6, wherein the mode of switching in from the original basic control system to the newly added optimized control system is as follows: The newly added optimizing control system synchronizes the equipment state parameters of the original basic control system; switching the logical switching variable to handover control authority; And the newly added optimization control system maintains the original parameters to run for a period of time in an administrator mode, then gradually puts into the optimization strategy and finally switches to a full-automatic intelligent mode.
8. The multi-system collaboration-based cooling energy-saving control method according to claim 7, wherein the optimization strategy of the full-automatic intelligent mode comprises a maximum value search algorithm, a chiller energy efficiency ratio COP global optimization algorithm and a collaborative control algorithm of a cold storage device.
9. The cooling energy-saving control method based on multi-system cooperation according to claim 6, wherein the condition of switching back from the newly added optimizing control system to the original basic control system comprises communication interruption, key equipment failure or control parameter overrun, wherein the switching back process is that the newly added optimizing control system freezes the current instruction and writes the current instruction into the original basic control system, and then switches over the logic switching variable handover control right, and the control is controlled by the original basic control system.
10. A control system based on a cooling energy saving control method based on multi-system cooperation according to any one of claims 1 to 9, characterized by comprising: The acquisition module is used for acquiring the running state parameters of each subsystem and the time-sharing electricity price signals of the external power grid in real time; the generation module is used for constructing and solving a multi-objective optimization function by taking the lowest total operation cost and the highest comprehensive energy efficiency ratio as collaborative optimization targets to generate a global operation strategy for coordinating the linkage of all subsystems; the analysis module is used for analyzing the global operation strategy into a collaborative group control instruction set of the execution equipment in each subsystem; And the execution module is used for executing the cooperative variable frequency control instruction set through authority management between a newly added optimal control system and an original basic control system, and realizing undisturbed switching of control authority when the conditions are met so as to ensure the cooling continuity.

Description

Cooling energy-saving control method and system based on multi-system cooperation Technical Field The invention relates to the technical field of industrial automation, in particular to a cooling energy-saving control method and system based on multi-system cooperation. Background Large centralized cooling systems (e.g., electric refrigeration systems) are the core energy consumption units of data centers, high-end manufacturing facilities, and the like. In order to realize energy saving, the prior art is improved locally, for example, a water chilling unit is started and stopped, a frequency converter is added to a water pump, or a cold storage tank is utilized to simply shift peaks and fill valleys. However, these local optimization schemes have systematic drawbacks, and it is difficult to meet the overall requirements of modern high-reliability, energy-efficient facilities, and first, the problem of controlling islanding, in which subsystems such as a host, a water pump, a cooling tower, and energy storage are usually controlled by independent or loosely coupled logic, and global synergy is lacking. Second, reliability risk problems are that when energy saving optimization or system upgrading is implemented, shutdown switching or operation on a single control system is often required, and once the system fails, cooling interruption is directly caused, so that higher reliability requirements cannot be met. Thirdly, the economic optimization is insufficient, most strategies only consider the equipment efficiency or the simple time-sharing electricity price, and the dynamic electricity price, the accurate energy storage state, the real-time load and equipment performance curve cannot be subjected to deep coupling and rolling optimization on multiple time scales. Therefore, the invention provides a cooling energy-saving control method and a cooling energy-saving control system based on multi-system cooperation aiming at the prior art. Disclosure of Invention The invention aims at overcoming the defects of the prior art and provides a cooling energy-saving control method and system based on multi-system cooperation. In order to achieve the above purpose, the present invention adopts the following technical scheme: a cooling energy-saving control method based on multi-system cooperation comprises the following steps: S1, collecting running state parameters of all subsystems and time-sharing electricity price signals of an external power grid in real time, wherein each subsystem comprises a cold source subsystem, a transmission subsystem, a heat dissipation subsystem and a cold storage subsystem; s2, constructing and solving a multi-objective optimization function by taking the lowest total operation cost and the highest comprehensive energy efficiency ratio as collaborative optimization targets, and generating a global operation strategy for coordinating the linkage of all subsystems; S3, analyzing the global operation strategy into a collaborative group control instruction set of the execution equipment in each subsystem; S4, executing a cooperative group control instruction set, and performing cooperative frequency conversion control on the execution equipment. Further, the operation state parameters in the step S1 at least comprise the power consumption and the refrigerating capacity of a host machine of the cold source subsystem, the frequency and the power consumption of a water pump of the transmission subsystem, the fan frequency, the power consumption and the return water temperature of cooling water of a cooling tower of the heat dissipation subsystem, the real-time cold storage state of the cold storage subsystem obtained through a cold storage amount calculation model, and the total cold load reflecting the total requirements of the system. Furthermore, the global operation strategy in the step S2 at least comprises a cold accumulation charging and discharging time sequence strategy based on a time-of-use power price signal, wherein the cold accumulation charging and discharging time sequence strategy is that charging is controlled at a power price valley section, discharging is controlled at a power price peak section, and the load of a cold source subsystem is reduced, and charging and discharging are not performed at a power price flat section. Further, the cooperative group control instruction set in step S3 specifically includes: Determining the running number of water chilling units in the cold source subsystem according to the total cold load, and distributing load for each water chilling unit; The frequency of a primary freezing water pump, a secondary freezing water pump and a cooling water pump in the transmission subsystem is adjusted in a linkage mode according to the distributed load; The frequency and the number of operation of the cooling tower fans in the cooling subsystem are adjusted according to the temperature of the cooling water backwater, wherein a time balance rotation mechan