To improve the transient stability of multimachine power systems,observational linearization and tracking objective excitation control laws were derived from the phasor measurement unit(PMU),observational linearizatio...To improve the transient stability of multimachine power systems,observational linearization and tracking objective excitation control laws were derived from the phasor measurement unit(PMU),observational linearization,and tracking objective control theory based on synchronized coordinates and reference generator coordinates.The control strategies utilized real-time state variables obtained by PMU to linearize the state equations of the system,and then the linear optimal control strategy was used to design excitation controllers.The inaccuracy of the local linearization method and the complexity of the system models designed in the exact linearization method for nonlinear systems were avoided.Therefore,the control strategies were applied in real time.Simulation results show that the proposed method can improve the transient stability of power systems more efficiently than nonlinear optimal excitation control.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.50595410).
文摘To improve the transient stability of multimachine power systems,observational linearization and tracking objective excitation control laws were derived from the phasor measurement unit(PMU),observational linearization,and tracking objective control theory based on synchronized coordinates and reference generator coordinates.The control strategies utilized real-time state variables obtained by PMU to linearize the state equations of the system,and then the linear optimal control strategy was used to design excitation controllers.The inaccuracy of the local linearization method and the complexity of the system models designed in the exact linearization method for nonlinear systems were avoided.Therefore,the control strategies were applied in real time.Simulation results show that the proposed method can improve the transient stability of power systems more efficiently than nonlinear optimal excitation control.
