Comparative Analysis of Multi Techniques in Loss Minimization Schemes for Power Transmission Planning

Abstract

The demand for electricity in power system has been steadily increased due to the increasing urbanization around the world. Due to the limitation of equipment capacity and operation, the power system has been forced to operate under stress conditions. During this condition, the transmission losses are increasing resulted from the voltage decay phenomenon and limited the maximum power transfer capability. With the optimum location and sizing of Flexible AC Transmission System (FACTS) installation, this can provide to increase system transmission capacity, power flow flexibility and stability, controlling the voltage, and security of transmission lines. This paper presents allocation of FACTS device in transmission system for loss minimization using Multi Verse Optimization (MVO) algorithm. IEEE 30-bus system is used as the test system to validate the algorithm. The performance of MVO is analysed, based on optimal location and sizing of SVC to minimize power system loss.  In this study, the effectiveness of MVO algorithm is compared with Evolutionary Programming (EP) and Particle Swarm Optimization (PSO). Comparison analysis demonstrates that MVO algorithm outperformed EP and PSO in achieving lower minimum losses.