Taking a typical thermoelectric integrated energy system as an object
an asynchronous optimal predictive control strategy considering the difference of multi-energy characteristics was proposed
which took into account the different control requirements of both thermal and electrical sides
and reduced the burden of real-time optimization calculation and ensured the coordinated control performance of the system through the reconstruction of prediction model and the switching of control targets. Results show that compared with the synchronous control optimized by electric side small step length and thermal side wide step length
the asynchronous optimal control strategy can reduce the average calculation time of the former controller by 54%
and the control deviations of residual generation power and heating water temperature by 77.1% and 88.8%
respectively.
关键词
Keywords
references
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