Diffusion Optimization Method And Application Of Central Air Conditioning Transmission And Distribution System Based On I~2B Platform

With the popularization of intelligent buildings,problems such as poor stability and serious lag of intelligent building control system under centralized architecture occur frequently,and building energy consumption remains high.The central air conditioning system is the main air conditioning system in large public buildings.A large portion of its power consumption is consumed by the fans and water pumps to transport and distribute the energy.And power equipment like fan and water pump belongs to the central air conditioning transmission and distribution system.At present,the "universality" and "practicability" of the control system and control algorithm are poor,resulting in the low automation level of the current transmission and distribution system.Reducing the energy consumption of the central air conditioning transmission and distribution system will help to reduce the energy consumption of the whole building.How to optimize the control of central air conditioning transmission and distribution system has become a research hotspot.Group intelligent control system is a new type of intelligent building control system without centralized distributed control network,which has the characteristics of plug and play,interconnection and self-organization.It provides new technical support for the development of intelligent buildings and provides a new solution for the diffusion problem of central air conditioning transmission and distribution system.Moreover,the chilled water system and the air supply system in the transmission and distribution system have common characteristics in composition and operation,which is particularly obvious in the end diffusion problem.The optimization paradigm of the central air conditioning transmission and distribution system has a wide range of application scenarios,and how to realize the optimization paradigm of the central air conditioning transmission and distribution system under the swarm intelligence architecture is worth further study.In addition,the actual engineering projects that can realize the application of swarm intelligence algorithm are few at present,and the detection of the algorithm is limited before the actual application.This paper takes the central air-conditioning transmission and distribution system as the research object,and tries to find the control strategy and algorithm universally suitable for the central air-conditioning transmission and distribution system,so as to realize the optimal control of the end diffusion under the swarm intelligence architecture.The main work is as follows.Firstly,taking the chilled water of central air conditioning system of a university library in Dalian and the air supply system of green building and energy saving engineering laboratory in Liaoning Province as prototypes,the quantity and model of simulation equipment are determined.The equipment performance model and distributed control algorithm of central airconditioning chilled water system and air supply system were programmed with Py Charm programming software,and simulation research was carried out with the aid of distributed simulation platform.The correctness and feasibility of the model and distributed algorithm are verified by inputting external boundary conditions.Secondly,based on the model prototype and the verified device model completed by Py Charm,simulation test platforms of group intelligent electromechanical equipment of central air-conditioning chilled water system and air supply system were built respectively to realize the communication among simulators.The equipment models and optimization models of each simulator in the simulator platform were tested and debugging.It provides a test platform for the follow-up research of swarm intelligence algorithm.Thirdly,the application effect of distributed adjustment algorithm of variable pressure difference setpoint of chilled water system is experimentally-studied by using group intelligent mechanical and electrical equipment simulation test platform.The adaptability of working condition and energy saving effect of the distributed adjustment algorithm are studied.The results show that the simulator platform built in this paper can realize the operation of the distributed algorithm,and the distributed adjustment algorithm proposed in this paper has a good application effect,which can ensure the energy supply requirements of each user and the air supply temperature control effect.Finally,the similarities and common characteristics of the frozen water system and the air supply system in the composition,operation and control of the VFAC transmission and distribution system are summarized and refined.Combined with the distributed adjustment algorithm of variable differential pressure setpoint which has been verified in the simulation test platform of group intelligent mechanical and electrical equipment,a set of distributed optimization algorithm paradigm of variable pressure set value which is suitable for solving the diffusion problem of the terminal valve position in the central air-conditioning transmission and distribution system is proposed.The work of this paper is to propose a set of distributed adjustment algorithm for the working state adjustment and pressure set value acquisition of the power equipment in the central air conditioning transmission and distribution system,which is beneficial to solve the diffusion optimization problem of the transmission and distribution system.It makes the system run more energy efficient,control more stable,calculation efficiency faster,and flexibility higher.