We employ a novel data-enabled predictive control (DeePC) algorithm in voltage source converter (VSC)-based high-voltage DC (HVDC) stations to perform safe and optimal wide-area for power system oscillation damping. Conventional is model based. However, practice, detailed accurate parametric models are rarely available. In contrast, the DeePC uses only input-output data measured from unknown pr...

in this paper, a recurrent fuzzy-neural network (rfnn) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...

This paper introduces a control strategy to simultaneously achieve asymptotic stabilization and transient frequency regulation of power networks. The command is generated by iteratively solving an open-loop cost minimization problem with stability constraints. To deal the non-convexity constraint, we propose convexification that uses reference trajectory based on system’s current state. We also...