RETRACTED: Design nonlinear robust damping controller for static synchronous series compensator based on objective holographic feedback–H_∞

Abstract

Considering the strong nonlinearity of power oscillation in power system containing static synchronous series compensator and nonlinear factors, a novel power oscillation damping controller that exhibits nonlinearity and robustness is proposed to reduce power oscillation in such systems. First, use objective holographic feedback on the system state equation to obtain system model. Second, nonlinear factors and external disturbances are estimated using direct feedback linearization to achieve linearization of the nonlinear model. Third, H N equation should be selected. Finally, a power oscillation damping controller of static synchronous series compensator is designed on direct feedback linearization, objective holographic feedback theory-H N . The controller exhibits good dynamic performance and robustness. Simulations on four-generator two-area system are conducted under various disturbances to prove the effectiveness and robustness of the proposed damping control method.

An Objective Holographic Feedback Linearization Based on a Sliding Mode Control for a Buck Converter with a Constant Power Load

“…variable with a one-order degree relative to the system must ex nonlinear control rate when selecting the output vector to be inco space [23,24]. However, there exist cases where the original nonli system derived by solving using a state variable with a one-order r make the system stable.…”

“…This method does not require complex mathematical analysis, and by changing the control parameters, the system poles can be adjusted for the purpose of stabilizing the system and tracking control [22]. However, in the traditional OHFLC method, because an optimal linear quadratic is used in the design of the controller, a state variable with a one-order degree relative to the system must exist to solve the original nonlinear control rate when selecting the output vector to be incorporated into the linear space [23,24]. However, there exist cases where the original nonlinear control law of the system derived by solving using a state variable with a one-order relative degree does not make the system stable.…”