Genetic Algorithm Optimized Power Flow Control with Facts Devices

Vol. 1 No. 4

 

Year: 2013

Issue: November-January

Title: Genetic Algorithm Optimized Power Flow Control with Facts Devices

Author Name: G.N.Sreenivas, Yashoda Devi , Suresh Kumar Kondi

Synopsis:

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.