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Real-Time Optimization Based on Chance-Constrained Programming for Plant-Wide Processes |
ZHANG Yan-1, DING Mao-Sen-1, MAO Hong-Yan-2 |
(1. Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China;2. School of Software Engineering, East China Normal University, Shanghai 200062, China) |
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Abstract A dynamic real-time optimization (RTO) scheme based on chanceconstrained programming (CCP) was presented for a class of plant-wide processes. Chance-constrained programming is employed in the optimization problem, in which the constraints containing economic and model uncertainties are guaranteed to be satisfied at a high level of probability. The real-time optimizer based on product quality model determines the optimal setpoint for each sub-process by solving joint probability constrained problem. Simulation studies for furnace temperature setpoints optimization problem of the walking beam reheating furnace were illustrated to verify the effectiveness and practicality of the proposed method.
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Received: 23 August 2010
Published: 29 July 2011
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