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    SHI Peng-jun, CAO Cui-wen, GU Xing-sheng. Labview-Based Uncertain Multi-objective Modeling and Real-Time Operational Optimization for Steam Power Systems of Chemical Plants[J]. Journal of East China University of Science and Technology, 2017, (3): 375-382. DOI: 10.14135/j.cnki.1006-3080.2017.03.013
    Citation: SHI Peng-jun, CAO Cui-wen, GU Xing-sheng. Labview-Based Uncertain Multi-objective Modeling and Real-Time Operational Optimization for Steam Power Systems of Chemical Plants[J]. Journal of East China University of Science and Technology, 2017, (3): 375-382. DOI: 10.14135/j.cnki.1006-3080.2017.03.013

    Labview-Based Uncertain Multi-objective Modeling and Real-Time Operational Optimization for Steam Power Systems of Chemical Plants

    • In order to overcome the shortcoming of uncertain steam supply and demand of units in the steam power system of chemical plants,this paper proposes a rolling optimization model (MO-MINLP) and develops a novelty.The data acquisition and processing module of integrated platform based on Labview is utilized to collect real-time operational data for the steam power system.The start and end time points of recording uncertain events are used to divide the time interval of every period.Simulation results from the steam power system show that the proposed Labview-based platform can perfectly deal with the integration of the theory and industrial applications and will have a wide application value in other similar systems.
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