Data drive control method for minimum energy consumption of refrigerating system on basis of SPSA
A data-driven control and refrigeration system technology, applied in heating and ventilation control systems, heating and ventilation safety systems, heating methods, etc. Stable and efficient effect
Inactive Publication Date: 2014-09-03
国铁工建(北京)科技有限公司
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Problems solved by technology
This method is simple to calculate, has few parameters, is easy to implement, and can effectively avoid the complex modeling process of the refrigeration system, and can also avoid problems such as poor control effects that may be caused by inaccurate system models.
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[0028] The present invention proposes an improvement strategy aiming at the problems existing in the prior art. In the following, the present invention will be further described in terms of the energy-saving control scheme of the refrigerator, the experimental acquisition of the minimum stable superheat under variable load conditions, the variable minimum superheat control, and the data-driven control of the superheat by the electronic expansion valve.
[0029] First, select the dual-loop energy-saving control scheme of the refrigerator, such as figure 1 As shown, the corresponding control structure diagram is shown in figure 2shown. The first loop is constant chilled water supply temperature control, adjusting the frequency of the compressor according to the change of system load to keep the chilled water supply temperature constant, so as to realize the matching of cooling capacity and heat load. The second loop is variable minimum superheat control. According to the curv...
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The invention relates to a data drive control method for minimum energy consumption of a refrigerating system on basis of SPSA. The method includes the steps of adjusting frequency of a compressor to enable chilled water supply water temperature to be constant according to changes of a system load so that refrigerating capacity can be matched with a thermal load; obtaining a relation curve between the system load and the minimum stable superheat degree of an evaporator; establishing an online neural network identification model of the system; calculating the system load according to changes of refrigerating capacity of the refrigerating system of an air conditioner under dynamic regulation of the compressor, obtaining the minimum stable superheat degree corresponding to the system load according to the relation curve between the system load and the minimum stable superheat degree of the evaporator, and using the minimum stable superheat degree as a set value of the superheat degree of the evaporator; establishing a neural network controller; completing control over the superheat degree of the evaporator through an expansion valve control loop. The method is easy to calculate and implement, the number of parameters is small, and the control effect is good.
Description
Technical field [0001] The invention relates to a data-driven control method for minimum energy consumption of a refrigeration system based on SPSA, and belongs to the field of optimal control of an air-conditioning system. Background technique [0002] At present, my country's refrigeration equipment consumes 6% to 7% of the country's total electricity consumption, and refrigerators are the most energy-consuming part, accounting for about half of the system's energy consumption in central air-conditioning systems. The load of the air-conditioning and refrigeration system will change with the change of the outdoor meteorological parameters, and the existing refrigeration equipment generally sets the best efficiency point at the rated capacity output, which leads to the length of the refrigeration unit during actual operation. The time is in a partial load state, the operating efficiency is not high, and the refrigeration equipment often operates below the rated capacity, whi...
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IPC IPC(8): F24F11/00
Inventor 董娜
Owner 国铁工建(北京)科技有限公司