A heating ventilation system hybrid model predictive control method and device

Abstract

The application discloses a heating system hybrid model predictive control method and device, constructs a device coupling relationship matrix based on heating system operation data, identifies a load response controllable interval, extracts a soft and hard thermodynamic constraint parameter to generate a model embedded constraint coefficient, constructs a thermodynamic constraint prediction model and generates a model failure identifier through working condition coverage analysis; according to the model failure identifier, a rolling time domain load prediction is performed to generate a predicted load sequence, a prediction confidence identifier is extracted and mapped to a device response delay, a response priority is evaluated to generate a layered device activation parameter group; the multi-device coordination constraint is analyzed to identify a priority regulation device, the adjustable margin of the device after the time window overlap reduction of adjacent devices is quantified, and the device regulation weight is adjusted in combination with the model embedded constraint coefficient to output a multi-device coordination control instruction, so that the thermodynamic constraint perception and delay adaptive multi-device coordination predictive control are realized.

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