FUZZY LOGIC AND PSO BASED HYBRID TECHNIQUE FORMULATION FOR OPTIMAL PLACEMENT AND SIZING OF INTERLINE POWER FLOW CONTROLLER

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.