An Active Disturbance Rejection Control System for Static Optimization of Central Air Conditioning Refrigeration Stations

Abstract

The invention discloses an active disturbance rejection control system for static optimization of a central air-conditioning refrigeration station. The air-conditioning load prediction unit is used for load prediction through a BP neural network; the central air-conditioning refrigeration station model calculation unit is used for One of two ways of performing single-model modeling and multi-model fusion modeling; the system operating point optimization unit is used to calculate the optimal operating point of the system by using an optimization algorithm; the central control refrigeration station control unit is used for Active disturbance rejection controller is used for tracking control. The invention also discloses an active disturbance rejection control method for static optimization of a central air-conditioning refrigeration station. The system and method determine the optimal operating point of the system that is closest to the actual value by accurately establishing a static model and predicting the cooling load, and use the active disturbance rejection controller to track and control the optimal operating point of the system, thereby realizing central air conditioning refrigeration. Optimum energy saving of the station.

Description

technical field [0001] The invention relates to the field of automatic control, in particular to an active disturbance rejection control system and method for static optimization of a central air-conditioning refrigeration station. Background technique [0002] At present, there are many large shopping malls, shopping supermarkets, office buildings, etc. in cities of various sizes across the country. As a high-energy-consumption building that is different from other civil buildings, large public buildings have naturally become key projects for energy-saving and emission-reduction transformation by environmental protection departments and power departments. In large public buildings, the energy consumption of the central air-conditioning (HVAC) system generally accounts for more than 50% of the energy consumption of the entire building, while the energy consumption of the central air-conditioning refrigeration station accounts for more than 70% of the central air-conditioning...

AI Technical Summary

Problems solved by technology

At present, most of my country's HVAC systems are in low-efficiency operation state, resulting in low operation efficiency and serious energy waste

There are many reasons for this phenomenon. Since the central air-conditioning unit operates under partial load most of the time, this leads to the operation state of large flow and small temperature difference in most central air-conditioning refrigeration systems, which cannot keep the air conditioner at The best running state causes a huge loss of energy; and in terms of control, the main engine and some terminal devices of the central air conditioner have automatic control devices, but the level of automatic control is low. When the external influencing factors change, due to the adjustment of the control system Time is too slow and energy is wasted

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