A swarm intelligent central air-conditioning parallel water pump energy-saving optimization method

Abstract

The invention discloses a group intelligent central air conditioner parallel water pump energy saving optimization method. Firstly, initialization operation is carried out, the tail end flow under the condition that the pressure difference is kept is calculated, each water pump in a parallel water pump is respectively connected with a controller, all the controllers form a group intelligent network, and when the deviation absolute values of the collected current pressure difference measurement values of the corresponding water pumps and a differential pressure set value exceed a preset differential pressure deviation threshold value, the controllers initiate a task for adjustment, and then the speed ratios of the water pumps are selected according to probabilities and are subjected to information interaction with neighbor water pumps; and finally, an adaptivity value is calculated, a probability matrix is updated to obtain the opening states of the water pumps and the rotation speed ratios of opened water pumps, and each controller controls the corresponding water pump to achieve the corresponding operation state according to parameters so as to achieve energy saving optimization. According to the group intelligent central air conditioner parallel water pump energy saving optimization method, on the basis of local interaction information, the distribution of solutions in spaces is described by means of probabilities, so that global optimum is obtained, the method conforms to actual configurations of engineering fields, the construction period is shortened, and the expandability, the energy saving property and the universality are high.

Description

technical field [0001] The invention belongs to the technical field of building energy saving and optimization, and in particular relates to an energy saving optimization method for parallel water pumps of a group intelligent central air conditioner. Background technique [0002] In the central air-conditioning chilled water system, multiple variable frequency water pumps are usually used in parallel to meet the needs of the end of the system by adjusting the start and stop status of the water pump and the speed of the water pump. At present, most of the optimization algorithms for parallel pumps are developed based on a centralized architecture, which lacks scalability and versatility. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a group intelligent central air-conditioning parallel water pump energy-saving optimization method for the above-mentioned deficiencies in the prior art. The method can be applied to...

AI Technical Summary

Problems solved by technology

At present, most of the optimization algorithms for parallel pumps are developed based on a centralized architecture, and the scalability and versatility are insufficient.

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