Deep-neural-network-based Economic Model Predictive Control for Ultra-supercritical Power Plant
IEEE Transactions on Industrial Informatics(2020)
摘要
The dynamic economic optimization of the ultrasupercritical (USC) boiler-turbine unit has become an important task in modern power plants. Economic model predictive control (EMPC) has recently developed to be a promising method for realizing the dynamic economy. This EMPC essentially requires a highly reliable model for USC dynamic prediction which could reflect the internal mechanism of USC with ...
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关键词
Power generation,Predictive models,Economics,Stability analysis,Thermal stability,Informatics,Optimization
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