Optimal location and sizing of multiple distributed generators in radial distribution network using metaheuristic optimization algorithms

The satisfaction of electricity customers and environmental constraints imposed have made the trend towards renewable energies more essential given its advantages such as reducing power losses enhancing voltage profiles. This study addresses optimal sizing setting Photovoltaic Distributed Generator (PVDG) connected to Radial Distribution Network (RDN) using various novel optimization algorithms. These algorithms are implemented minimize Multi-Objective Function (MOF), which devoted optimize Total Active Power Loss (TAPL), Voltage Deviation (TVD), overcurrent protection relays (OCRs)?s Operation Time (TOT). effectiveness proposed is validated on test system standard IEEE 33-bus RDN. In this paper presented a recent meta-heuristic algorithm Slime Mould Algorithm (SMA), where results reveal robustness among all applied algorithms, in identifying allocation (locate size) PVDG units into RDN for mitigating losses, enhance system's profiles improve system. Accordingly, SMA approach can be very favorable cope with problem.