Energy function based neural networks UPFC for transient stability enhancement of network-preserving power systems

2010 ◽  
Author(s):  
Chia-Chi Chu ◽  
Hung-Chi Tsai
Keyword(s):  
Neural Networks ◽  
Power Systems ◽  
Energy Function ◽  
Transient Stability ◽  
Stability Enhancement

Voltage Stability Assessment of Multi-Machine Power Systems Using Energy Function and Neural Networks Techniques

2006 ◽  
Vol 34 (12) ◽  
pp. 1313-1330 ◽  
Author(s):  
A. Y. Abdelaziz ◽  
M. M. Abu-Elnaga ◽  
M. A. Elsharkawy ◽  
K. M. Elbahrawy
Keyword(s):  
Neural Networks ◽  
Power Systems ◽  
Energy Function ◽  
Voltage Stability ◽  
Stability Assessment

Transient stability analysis and control of power systems with considering flux decay by energy function approach

2012 ◽  
Vol 60 (1) ◽  
pp. 3-8
Author(s):  
D. Lu ◽  
X. Zhang
Keyword(s):  
Stability Analysis ◽  
Power Systems ◽  
Energy Function ◽  
Transient Stability ◽  
Stability Boundary ◽  
Function Approach ◽  
Fault System ◽  
Rotor Angle ◽  
And Control ◽  
Transient Stability Analysis

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.

scholarly journals Distributed Multi-Agent-Based Protection Scheme for Transient Stability Enhancement in Power Systems

2015 ◽  
Vol 16 (2) ◽  
pp. 117-129 ◽  
Author(s):  
M. S. Rahman ◽  
M. A. Mahmud ◽  
H. R. Pota ◽  
M. J. Hossain ◽  
T. F. Orchi
Keyword(s):  
Power Systems ◽  
New England ◽  
Intelligent Agents ◽  
Transient Stability ◽  
Short Circuit ◽  
Agent Based ◽  
Protection Scheme ◽  
Clearing Time ◽  
Multi Agent ◽  
Stability Enhancement

Abstract This paper presents a new distributed agent-based scheme to enhance the transient stability of power systems by maintaining phase angle cohesiveness of interconnected generators through proper relay coordination with critical clearing time (CCT) information. In this distributed multi-agent infrastructure, intelligent agents represent various physical device models to provide dynamic information and energy flow among different physical processes of power systems. The agents can communicate with each other in a distributed manner with a final aim to control circuit breakers (CBs) with CCT information as this is the key issue for maintaining and enhancing the transient stability of power systems. The performance of the proposed scheme is evaluated on a standard IEEE 39-bus New England benchmark system under different large disturbances such as three-phase short-circuit faults and changes in loads within the systems. From the simulation results, it is found that the proposed scheme significantly enhances the transient stability of power systems as compared to a conventional scheme of static CB operation.

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