Kenari,M.T.Ozdemir,A.Heidari,A.2024-10-152024-10-1520240979-835037278-6https://doi.org/10.1109/PMAPS61648.2024.10667064https://hdl.handle.net/20.500.12469/6595100% Pure New Zealand; AUT; Centre for Future Power and Energy Research; et al.; IEEE New Zealand North Section; New Zealand TourismThe increasing trend in using renewable energy resources in distribution systems has encouraged system operators to find the best methods to decrease the growing uncertainty's impact on system operation. A probabilistic approach based on the combination of Monte Carlo simulation and Particle Swarm Algorithm is proposed in this paper to reduce the risk of voltage magnitude violations. Also, a novel criterion is used to assess the risk of voltage magnitude violations in distribution system operation. This index is based on providing voltage samples using a probabilistic approach. Therefore, enhancing the confidence level of voltage risk is considered an objective function in finding the optimum location of energy storage systems. The proposed approach is applied to the IEEE 33-bus test system, and the results show that two ESS units installed at appropriate locations can solve all the voltage magnitude violation problems. © 2024 IEEE.eninfo:eu-repo/semantics/closedAccessActive Distribution SystemEnergy Storage SystemMonte Carlo SimulationsParticle Swarm OptimizationProbabilistic ApproachVoltage Violation RiskConference Object10.1109/PMAPS61648.2024.106670642-s2.0-85204803784N/AN/A