Abstract

Maximum utilization of the available transmission lines is advisable than introducing a new transmission line to the existing power system because of various reasons such as regulatory, environmental, and public policies, as well as escalating costs. This can be achieved by using FACTS controllers which are one of the power electronics based static equipment to control one or more AC transmission system parameters for enhancing controllability and increase power transfer capability. Placing and Sizing of the FACTS controllers in transmission line is a challenging task. To perform this task, we propose a new hybrid technique based on fuzzy logic (FL) and Particle swarm optimization (PSO). Here, we have considered Interline Power Flow Controller (IPFC) as we are discussing multiline transmission systems. The purpose of fuzzy system is to determine the capacity of IPFC in terms of voltage deviation. The optimal location of IPFC is done by PSO. The proposed technique maintains the voltage stability and minimizes the transmission loss of the power system. For analyzing the nonlinear power flow of the transmission system, Newton-Raphson method is utilized. The proposed multi objective approach is implemented in MATLAB and the performance of the proposed fuzzy-PSO is compared with fuzzy-GA.

Highlights

  • Several network blackouts have been related to voltage collapses

  • The Mamdani type fuzzy logic (FL) controller is used to select the capacity of Interline Power Flow Controller (IPFC) and the Centroid method was used for defuzzification

  • In the proposed hybrid technique, the optimal location of IPFC was determined by Particle Swarm Optimization (PSO) algorithm and FL was used to determine the capacity of the IPFC

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Summary

INTRODUCTION

Several network blackouts have been related to voltage collapses. This phenomenon tends to occur from lack of reactive power support in heavily stressed conditions, usually triggered by system faults [1]. The performance of FACTS devices mainly depends upon suitable location in the power network and its parameters [4] Because of their adaptability and fast control characteristics, FACTS devices are capable of handling the active and reactive power control and can simultaneously maintain constant voltage-magnitude with in the acceptable range [5]. FACTS controllers are capable of controlling the network condition in a very fast manner and this feature of FACTS can be exploited to improve the voltage stability, steady state and transient stabilities of a complex power system This allows increased utilization of existing network closer to its thermal loading capacity and avoiding the need to construct new transmission lines.

Load constraint
Minimum voltage deviation
Minimum capacity of the FACTS devices
Fuzzy based Minimum Active Power Selection
Inference system
Defuzzification
Evaluation Function
Updating Initial Particle
Generation of Initial Particle
Termination
Initialization
Applying Fitness Function
Optimal Placement of IPFC using GA
Crossover
Mutation
RESULTS
CONCLUSIONS

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