16 research outputs found
An interactive educational tool for the teaching of manoeuvres in electrical substations
Designing of a TEF-based neuro-fuzzy controller for IPFC to improve the transient stability
Transient stability improvement with neuro-fuzzy control of GUPFC in multi machine system
Transient stability analysis and control of power systems with considering flux decay by energy function approach
In this paper, transient stability of power systems with structure preserving models is considered. A Hamiltonian function which can be regarded as a Lyapunov function for the system is proposed. Based on this, the influence of flux decay dynamics, especially during a fault, on transient stability is analyzed. With the increase of load power, the variation of stability boundary in the rotor angle/Eq plane is shown. The Energy-based excitation control, aiming at injecting additional damping into the post-fault system may reduce the critical clearing time (CCT). This can be demonstrated by the comparison of different flux decay dynamics in the fault-on condition, and the reason is illustrated by the relationship between rotor angle/Eq and the stability boundary. An improved control strategy is proposed and applied to increase the CCT. Simulation results verify that improvement is obtained both in transient stability and dynamic performance