JES_V1_N4_RP3
Genetic Algorithm Optimized Power Flow Control with Facts Devices
G.N.Sreenivas
Yashoda Devi
Suresh Kumar Kondi
Journal on Embedded Systems
2278 - 7895
1
4
17
27
Genetic Algorithm, Thyristor Controlled Series Compensator, MATLAB/SIMULINK, Simulation Design, Power System Stability
In this paper, a method is proposed to identify the dynamic behavior of a power system using Genetic algorithm. The various coefficients obtained from GA global optimization problem are given as an input to the controller block. Optimal supplementary damping controller design for Thyristor Controlled Series Compensator (TCSC) is presented in this paper. The parameters are obtained through the genetic algorithm. The effectiveness and robustness of the proposed approach over a wide range of loading is tested under various conditions and disturbances. Frequency stability and power flow are major concerns in any power system. In this paper the authors designed and simulated an PSS using TCSC with the time constants optimized by Genetic algorithm. The general system is composed of a three phase utility source, step up and step down transformers, a transmission line and some linear, non-linear, motor loading. In general, the voltages, currents and power are measured in order to analyze the voltage stability and power flow.
November 2012 - January 2013
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