Binary Gravitational Search Based Algorithm for Optimal DG and Capacitor Allocation Along with Network Reconfiguration in Radial Distribution Systems

The Binary Gravitational Search Algorithm (BGSA) is a multi-purpose optimization technique presented in this research that may be used to identify the best capacity, position DG modules and capacitor groups, and reconfigure networks in distribution systems. The objective function has six performance indices: section load ability, voltage deviation, voltage stability index, dynamic and sensitive losses, and balancing current index. The optimization problem's objective function takes into account both the relevance of each indication and its combination. The suggested BGSA method was assessed on an IEEE 33 and 69 bus system and related to three other well-known algorithms: the Grey Wolf Optimizer (GWO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Gravitational Search Algorithm (GSA). The simulation results demonstrate how the BGSA algorithm can adjust the capacity and position of capacitor banks and DG sources in a variety of operating circumstances, boosting system performance and lowering active network losses.