Voltage Collapse Proximity Indicator based Placement and Sizing of Static VAR Compensator using BAT Algorithm to Improve Power System Performance

Abstract

Power systems are becoming increasingly more complex due to the interconnection of regional system and deregulation of the overall electricity market. At present owing to the increase in power demand, power system has become more complex and heavily loaded, and is subjected to unstable or insecure operations. For secure operation, it is required to enhance the level of a security margin of the power system. In this paper sensitivity analysis based Voltage collapse proximity Indicator (VCPI) is proposed to select the optimal location of Static VAR Compensator (SVC). An Optimal Power Flow using BAT algorithm is carried out in order to find the optimal size of SVC which minimizes the total real power generation cost. Power System security is assessed using Line security index and voltage security index for IEEE 14 and IEEE 30-bus system using MATLAB Simulation. The results are presented and analyzed for BAT Algorithm based Optimal Power Flow without and with SVC and compared with Genetic Algorithm (GA).