Ceylan, OğuzhanAhmadi, BahmanYounesi, SoheilCeylan, OguzhanOzdemir, Aydogan2023-10-192023-10-1920218978-1-6654-4389-0https://doi.org/10.1109/UPEC50034.2021.9548204https://hdl.handle.net/20.500.12469/524156th International Universities Power Engineering Conference (UPEC) - Powering Net Zero Emissions -- AUG 31-SEP 03, 2021 -- Teesside Univ, ELECTR NETWORKThis study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to reduce the line losses employing Arithmetic Optimization Algorithm (AOA) method. The model determines the number of DGs and ESSs automatically, and is designed to minimize the losses and the reliability indices such as Customer Average Interruption Duration Index (CAIDI). The performance of the algorithm is tested on 69-bus radial distribution system. The objective functions corresponding to optimal type, location, and size of distributed energy resources are compared to the base-case values. Finally, a comparative performance analysis of the proposed algorithm is performed in terms of reliability indices and power losses with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).eninfo:eu-repo/semantics/closedAccessDistributed GenerationDistribution-SystemReliabilityReanalysisDistributed generation (DG)Distributed Generationdistribution networks (DNs)Distribution-SystemCustomer Average Interruption Duration Index (CAIDI)ReliabilityEnergy Not Supplied (ENS)ReanalysisOptimizationConference ObjectWOS:00072360840005410.1109/UPEC50034.2021.95482042-s2.0-85116614792N/AN/A