Implementation of an Adaptive Controller for Controlled Series
作者:
Huang Wenkan
所属专业方向:
power sytem anykysis
摘要:
In electric power systems, controlled series compensators (CSC) are used to control the power flow, improve the transient stability of the system, and to improve the damping of power oscillations. However, a challenge in designing a controller for power oscillation damping using a CSC is the fact that the power system is in constant change, and its present state is not known to the controller. To address this issue, an adaptive controller for damping of power oscillations, transient stability improvement, and power flow control using a CSC has been developed.
The task of this thesis work is to implement the adaptive controller for a CSC in the power system simulation software PSS/E, and to compare the simulation results with results from another digital simulation platform, SIMPOW. The Kundur four machine model of a power system is used to demonstrate the performance of the controller for different contingencies and operating points.
关键字:
CSC, Damping Controller, PSS/E, SIMPOW, Kundur’s System
In electric power systems, controlled series compensators (CSC) are used to control the power flow, improve the transient stability of the system, and to improve the damping of power oscillations. However, a challenge in designing a controller for power oscillation damping using a CSC is the fact that the power system is in constant change, and its present state is not known to the controller. To address this issue, an adaptive controller for damping of power oscillations, transient stability improvement, and power flow control using a CSC has been developed. - A a( U: C$ m$ g% @) M6 dThe task of this thesis work is to implement the adaptive controller for a CSC in the power system simulation software PSS/E, and to compare the simulation results with results from another digital simulation platform, SIMPOW. The Kundur four machine model of a power system is used to demonstrate the performance of the controller for different contingencies and operating points.