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Genetic Algorithm Optimized Power Flow Control with Facts Devices

G.N. Sreenivas*, A. Yashoda Devi**, K. Suresh Kumar***

* Professor, Department of EEE & Additional Controller of Examination, JNTU, Hyderabad, Andhra Pradesh, India.

** Research Scholar, Department of EEE, JNTU, Hyderabad, Andhra Pradesh, India.

*** M.Tech Student, Department of EEE , JNTU, Hyderabad, Andhra Pradesh, India.

Periodicity:November - January'2013
DOI : https://doi.org/10.26634/jes.1.4.2108

Abstract

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.

Keywords

Genetic Algorithm,Thyristor Controlled Series Compensator, MATLAB/SIMULINK, Simulation Design, Power System Stability.

How to Cite this Article?

Sreenivas.G.N., Devi,Y.A., and Kumar,S.K. (2013). Genetic Algorithm Optimized Power Flow Control With Facts Devices. i-manager’s Journal on Embedded Systems, 1(4), 17-27. https://doi.org/10.26634/jes.1.4.2108

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