A novel formulation for the soft switching model predictive control with the intentional reduction of interactions effects in a power system

چکیده مقاله

Model predictive control is one of the effective control strategies. Sometimes it is necessary to switch between the multiple model predictive controllers during the plant meeting different sets of control objectives. A hard switching may introduce some unwanted specifications. The soft switching method achieves new controller by distributing the switching process over a number of control steps so that some problems of hard switching can be avoided. In this paper, a novel formulation for the soft switching coefficient in a softly switched model predictive control method is presented. Application of this method in a multi-area power system is studied. The soft switching is done from the initial feasible cooperation based model predictive controller to the new one with the intentional reduction of interactions effects in the cost function. The results of simulation show the less dependence on the communication network after the soft switching.

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