<p>The adoption of electric vehicles (EVs) is hampered by environmental damage and fossil fuel reliance. As the adoption of electric vehicles increases, there is a growing need for additional energy production to meet the increased demand for electricity. In addition to the surge in EV usage, there is a pressing need for EV charging stations (EVCS) to facilitate the charging process in the radial distribution systems (RDS). For the widespread adoption of EVs, it is essential to develop adequate EVCS. The improper placement of EVCS significantly degrades the power quality of the RDS. This paper discusses the optimal allocation of the EVCS in the IEEE 33 bus RDS considering photovoltaic (PV) and wind sources. To ensure convenient charging at various locations, the RDS is divided into three areas, with one EVCS and one PV and wind sources assigned to each of these areas. Furthermore, an energy storage (ES) system is used in this study to mitigate the imbalance created from the PV and wind sources enhance the system’s reliability. The main objective of this work is to minimize the 24 h energy loss of the network. This issue has been addressed by utilizing the symbiotic organisms search (SOS) technique. The obtained result has been validated by utilizing gray wolf optimizer (GWO) and Whale optimization algorithm (WOA). From the results, it is observed that the appropriate allocation of EVCS, integrated with renewable energy sources such as PV and wind systems, as well as ES, in the RDS, considerably reduces the overall system losses. This integrated approach not only minimizes energy losses but also enhances the overall reliability and efficiency of the distribution network, promoting a sustainable and resilient energy system.</p>