Zone control is to augment the control target from one point to a convex set, and let the system take the shortest time to enter the control target. This paper proposes an optimization strategy based on redundant control variables to improve the economic benefits of zone control. When the system is outside the set target, the zone prediction control algorithm is used to preferentially drive the state to the inside of the set zone. When the system enters the set zone, it is directly optimized by using redundant control variables to achieve greater economic benefits. During the operation of the system, each variable is evaluated by the steady-state mapping model of the system, and variables satisfying certain conditions are marked as redundant variables. The controller and optimizer are coordinated based on this tag to achieve both system control and economic performance. Finally, the effectiveness and feasibility of the strategy are verified by a typical SHELL model.