WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 11, 2016
Economic Model Predictive Control for Power Plant Process
Authors: ,
Abstract: Economic model predictive control (EMPC) is a combined control strategy of real time optimization of time-varying process economics and a feedback Model Predictive Controller (MPC) to track the time-varying set-point. In this work, we focus on the two-layer integrated framework of EMPC for non-linear processes. The upper layer consists of an EMPC, carries out economic process optimization to obtain the optimal steady states. A Lyapunov based MPC (LMPC) in the lower layer is forced to operate on these steady states. The LMPC tracks the time varying set point by maintaining the closed loop system states in a predefined stable region. The improved economic performance of the non-processes is demonstrated through some closed-loop simulation for the optimal operation of a power plant.
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Keywords: economic model predictive control, nonlinear systems, process optimization, stability analysis
Pages: 128-136
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 11, 2016, Art. #17