The Operation Optimization Method On Fuzzy Pid Control In Intrgrated Cold Station

The integrated cold station system is a system with large energy consumption in modern buildings.At present,the operating parameters of the integrated cold station system are all designed according to the maximum load conditions,and the entire system runs under partial conditions for most of the time,cause the whole system in the process of actual operation energy consumption is higher,low energy efficiency.Therefore,this paper studies the optimal operation of integrated cold station under different operating conditions.The integrated cold station system mainly includes the chilled water system,the chiller system and the cooling water system.It is a huge and complex system.The operation parameters of each device are independent and influence each other.To achieve the energy-saving effect of the system dynamic optimization and operation,Coordinate the relationship between the optimal operating parameters of each device.First of all,this paper starts from the system structure and operation principle of the integrated cooling station system.According to the operation performance of each device,analyzes various factors that affect the energy consumption of the system,analyzes the main operating parameters that affect the energy consumption of the cooling system,Run the collected data,using the regression analysis of the modeling method,the building of the integrated energy consumption of the main energy-consuming equipment cooling system model and the entire system energy consumption model.Secondly,under different load conditions,the optimization strategy of the integrated cold station system is transformed from the local optimization to the global optimization.According to the established energy consumption model of the whole system as the optimization target,the operating parameters of the optimization scope and the constraints between the various devices As a nonlinear condition,this paper introduces the idea of "decomposition-coordination" in the theory of large-scale system optimization,decomposes the system into two subsystems first,and then establishes the sub-system with the local optimization model to solve the optimal local optimization model Parameters,and then according to the coordination parameters to solve the entire system operating under different operating conditions optimization parameters,in order to achieve the optimal operation of the entire system.In addition,this paper optimizes and compares the operating parameters of typical summer equipment.The results show that the optimized system not only improves the energy efficiency,but also achieves an energy saving rate of 11.81%.Finally,in order to solve the problem of operation stability of the integrated integrated cooling station system,the application of adaptive fuzzy-PID control in the integrated cold station group control system is studied.The adaptive fuzzy-PID control method is verified by MATALB simulation platform Adaptability and robustness in integrated cold stations.Combined with the actual project,put forward the operation mode of group control system and the group control strategy of each equipment.The research shows that the group control strategy of the integrated cold station can effectively improve the energy efficiency of the system and reduce the energy consumption of the system,providing a reliable theoretical basis for the practical engineering application.