In order to solve the problems of heating mode selection and operation optimization for heating systems combined with solar thermal collectors and heat pumps
a control optimization method combining digital twin and model predictive control was proposed for the multi-source synergistic and complementary heating system. Firstly
the MSSCHS state space model was constructed
which can describe the switching of heating modes. Then multiple heating mode switching strategies and corresponding virtual entities were constructed to simulate the multiple scenarios of heating mode switching in each control period. By comparing the results obtained from the virtual operation optimization of each virtual entity
the optimal heating mode switching strategy and equipment operating powers were selected to control the multi-source synergistic and complementary heating system. Finally
a large number of simulation analyses were conducted on the operation of the heating system
verifying that the proposed method has better heating economy and stability.
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references
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