Characterization of power systems near their stability boundary using the sub-Gramian method

2016 ◽  
Vol 53 ◽  
pp. 173-183 ◽  
Author(s):  
Igor B. Yadykin ◽  
Dmitry E. Kataev ◽  
Alexey B. Iskakov ◽  
Vladislav K. Shipilov
2014 ◽  
Vol 47 (3) ◽  
pp. 9087-9092 ◽  
Author(s):  
Igor B. Yadykin ◽  
Dmitry E. Kataev ◽  
Alexey B. Iskakov ◽  
Vladislav K. Shipilov

Author(s):  
Nnaemeka Sunday Ugwuanyi ◽  
Uma Uzubi Uma ◽  
Arthur Obiora Ekwue
Keyword(s):  

Author(s):  
D. Lu ◽  
X. Zhang

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/E'q 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/E'q 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.


Author(s):  
Richard C. Millar ◽  
Thomas A. Mazzuchi ◽  
Shahram Sarkani

Electronic controls, propulsion system monitoring and health management and application of information technology to maintenance data capture and storage are enabling users to accumulate large amounts of reliability and related maintenance data. Effective analysis and exploitation of these data bases requires advanced tools to extract meaningful and actionable information. The challenges include “competing” failure modes and periodic hard time maintenance that “censors” information from impending failures, and a high number of failure modes that confound analysis. These factors impede accurate assessment of the impact of corrective action and different maintenance procedures on availability and maintenance costs. They confound understanding of the reliability of complex propulsion & power systems that would enable more representative modeling of system availability and maintenance costs for both existing and future applications. Tools providing more complete and accurate characterization of reliability information for complex systems are being developed for aerospace, nuclear and communications industries. These are surveyed and capability gaps identified with respect to commercial and military propulsion & power systems.


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