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title

OPTIMAL ALLOCATION AND SIZING OF TCSC USING GENETIC ALGORITHM IN MATLAB

Author(s):

Deepak Raj Dubey

Keywords:

Abstract

In deregulated power system, load demands are continuously increasing due to growth of population. In order to meet load demand, unscheduled power flow through transmission line which results in higher real & reactive power losses and voltage instability at buses. With the help of the FACTS controllers, it is possible to reduce real & reactive power losses in the power System. Their location, type & rating have influence on system performance. Location & type chosen should be proper & rating must be optimal for economical operation of the power system. This work presents a new approach to find the optimal rating of FACTS controllers by using Genetic Algorithm (GA) & conventional Newton Raphson power flow method. Among various FACTs controllers, Thyristor Controlled Series Capacitor (TCSC) is considered in this work. Our objective is to minimize the reactive power loss in the system by placing optimum rating of the TCSC. It has used reactive power loss minimization as objective function to find the optimal rating of TCSC. The proposed algorithm is an effective & practical method in this direction. To verify the effectiveness of proposed algorithm, studies are carried out on IEEE 30bus systems To overcome these problems, a Flexible Alternating Current Transmission System (FACTS) devices are installed at appropriate location to get the maximum possible benefits i.e. minimize real power loss in the power network and improve voltage profile at the buses. In this paper, a new evolutionary optimization techniques have been applied namely Genetic Algorithm (GA) to select the optimal parameters setting including rating of Thyristor Controlled Series Capacitor (TCSC) to minimize real power loss and improve voltage profile and compare their performances. For validation of proposed algorithm and for comparison purpose, MATLAB program is carried out on IEEE 30-bus system.

Other Details

Paper ID: IJSARTV
Published in: Volume : 4, Issue : 7
Publication Date: 7/1/2018

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