Two-stage model predictive control for voltage collapse prevention

The paper proposes a two-stage model predictive control (MPC) strategy for alleviating voltage collapse. The first stage uses a static load shedding algorithm to obtain stable MPC prediction simulations. The second stage uses the MPC simulations, and associated trajectory sensitivities, to establish a linear program (LP) that optimizes the control action. This LP builds on trajectory approximations that are generated from the sensitivities. The first stage prestabilizing process improves the accuracy of the trajectory approximations, with consequent improvement in the LP optimization results. The control action determined by the LP is subsequently applied to the actual system. The paper discusses the integration of this MPC algorithm into an energy management system (EMS) environment. A standard 10 bus voltage collapse case is used to illustrate the performance of the overall control strategy.