Multi-Objective Teaching Learning Based Optimization Technique for Loss Reduction and Fast Voltage Stability Index Minimization

1Lecturer, Department of Electrical Engineering, Assam Engineering Institute, Assam, India 2Associate Professor, Department of Electrical Engineering, Assam Engineering College, Assam, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract This paper presents the application of MultiObjective Teaching Learning Based Optimization (MOTLBO) Technique to Voltage Stability Analysis of transmission systems. Simultaneous minimization of Real Power Loss and improvement of Voltage Stability margin in an overloaded transmission network ensures that the system is stable and efficient even under stressed conditions. Fast voltage Stability Index (FVSI) is used here to assess the health of the lines and the weak buses are identified for reactive power compensation. Flexible AC Transmission System (FACTS) devices are applied to the stressed lines to prevent occurrence of voltage collapse. The paper demonstrates the superiority of Multi-objective TLBO over other Optimization methods like Genetic Algorithm (GA), in determining the optimum ratings of FACTS devices for simultaneous minimization of Total Real power loss and FVSI in the weak lines. Bus voltage enhancement, improved line flows and loss reduction with application of series FACTS compensation have also been discussed. The tests have been carried out on an IEEE 30 bus system.