Application of AAA for Optimized Placement of UPFC in Power systems

Abstract

This paper suggests an innovative scheme for examining the optimized power flow problem based on optimum position and configuration setting of Unified power flow controller (UPFC) by utilizing the artificial algae algorithm (AAA) technique. Flexible AC Transmission system (FACTS) devices have the ability to provide flexibility and control for complex power transmission systems. Unified power flow controller is proficient fellow of FACTS which has the capacity to regulate power system constraints (line impedance, voltage profile and phase angle). The core aim of this research is to solve the optimal power flow problem by curtailing or removing the over-loaded of lines and the bus voltage violations created under contingency circumstances. In first round, the contingency analysis and raking process is performed while taking the transmission line loading and voltage violations as a decision parameter (DP=NOVL+NVVB). Afterwards, the proposed technique (AAA) is exercised to discover the solution of optimal power flow issue based on optimal location of UPFC with its parameters setting under the generated single contingency of line scenarios. The simulations studies are practiced on IEEE standard benchmark-5 bus system to check the performance of this novel scheme.