Optimal integration of DSTATCOM using improved bacterial search algorithm for distribution network optimization

Abstract

Due to the non-linear nature of most of the loads, there is a greater demand for reactive power in the distribution network. Further, it wasted high energy on distribution and dropped the bus voltages. The integration of the distribution static synchronous compensator (DSTATCOM) mechanism into the power distribution sector increases load capacity, compensates reactive power, and reduces power losses while enhancing the voltage profile and stability. This research utilized the improved bacterial foraging search algorithm (IBFA) for the optimum sizing and placement of the DSTATCOM in the distribution sector to minimize power losses and improve voltage stability and profile. The power flow model is developed using the back-forward load flow technique. The outputs obtained are compared with those from the conventional bacterial foraging algorithm (BFA) and the base case scenario. The optimum size of DSTATCOM computed is 3697.3kVAr with the optimal placement at bus 19. The percentage drop in power losses obtained with the installation of DSTATCOM using an improved bacterial search algorithm (IBFA) is 49.021% as compared to the base case scenario. Similarly, the IBFA approach resulted in a 12.8% enhancement in voltage stability and a 3.32% improvement in voltage profile as compared to the base case scenario. The results obtained clearly indicate the efficiency and applicability of the applied IBFA technique to the optimum placing and sizing of DSTATCOM in the radial power distribution sector for minimizing power loss and improving the voltage profile and stability.