Ceylan, OğuzhanAhmedi, BahmanCeylan, OğuzhanÖzdemir, Aydoğan2020-12-172020-12-1720200978-172811078-3https://hdl.handle.net/20.500.12469/3564https://doi.org/10.1109/UPEC49904.2020.9209811Weather-dependent distributed renewable energy sources such as photovoltaics (PVs) and wind turbines (WT) are increasingly being connected to distribution networks (DNs). Increased penetration of these intermittent sources brought the necessity of using energy storage systems (ESSs) to achieve the intended benefits. This study presents an optimization process to determine optimal numbers, sizes, locations and distributed energy resources (DERs) as well as to determine the optimal operating strategy of ESSs in a distribution network. The objective is to improve the voltage profile and to minimize the installation costs. The proposed multi-objective formulation problem is solved by using ant lion multi-objective optimization algorithm. At the second part of the study, optimal values are tested with monthly extreme distributions and the impacts of load and distributed generation volatilies on the voltage profiles which were determined by Pareto-optimal solution candidates are analysed. Simulations were performed on 33 bus radial distribution system using Matlab. Finally the benefits obtained by the optimal solutions with less risk are compared.eninfo:eu-repo/semantics/closedAccessDistribution networks (DNs)Load uncertaintyMulti-objective Ant Lion Optimizer (MOALO)optimizationsmart gridsConference ObjectWOS:00062777100005310.1109/UPEC49904.2020.92098112-s2.0-85095578392N/AN/A