Bo Gong and Ian Hiskens
Voltage stability, model predictive control, security assessment
This paper proposes an online optimal control strategy based on model predictive control (MPC) concepts for alleviating voltage collapse. The control block serves as a security enhancement tool for real-time grid operations. Utilizing advanced communications, modern sensoring and computation resources available in smart grid systems, it provides optimal control solutions considering both security and economic concerns in power system operations. As a dynamic control strategy, it computes and evaluates a control’s impact to a system in a longer horizon and help to optimize the operations for both pre- and post-emergency conditions. To compute the controls, time domain simulations and associated trajectory sensitivities are used to establish a linear program (LP) that optimizes the control actions. This LP builds on trajectory approximations that are generated from the sensitivities. The control action determined by the LP is subsequently applied to the actual system. A benchmark 10 bus voltage collapse case is used to illustrate the performance of the overall control strategy.
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