Economic optimization for process transition based on redundant control variables in the framework of zone model predictive control

Xin Wan, Feng Xu and Xiong-Lin Luo

Energy, 2022, vol. 241, issue C

Abstract: This paper proposes an optimization strategy based on redundant control variables under the zone control framework and can improve the economic optimization effect. First, we briefly reviewed the general concepts of redundant control and zone control. Then we analyzed the limitations of this optimization strategy, the reason is the impact of the change of redundant control variables on the system state variables. This will cause the switching of the controller on the boundary of the zone control target, which will affect the economic benefits of the system. Based on the above problems, we have designed two different optimization strategies to avoid this switching action. The first method is to temporarily disable the switching conditions during the process transition to avoid triggering the switching action. The second method is to dynamically change the rate of change of redundant control variables so that the system can not trigger the switching conditions. Finally, we verified the feasibility of the two improved optimization strategies we proposed through numerical simulation, and achieved greater economic benefits compared with previous studies.

Keywords: Economic optimization; Dynamic optimization; Model predictive control; Zone control; Switching control (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:241:y:2022:i:c:s0360544221031911

DOI: 10.1016/j.energy.2021.122942

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