%0 Journal Article
%T A Sampling Method based on System State Transition for Distribution System Adequacy Assessment using Distributed Generation
%J Journal of Operation and Automation in Power Engineering
%I University of Mohaghegh Ardabili
%Z 2322-4576
%A Halve, S.S.
%A Koshti, A.
%A Arya, R.
%D 2023
%\ 12/01/2023
%V 11
%N 4
%P 249-257
%! A Sampling Method based on System State Transition for Distribution System Adequacy Assessment using Distributed Generation
%K Distributed Generator (DG)
%K Loss Sensitivity Factor (LSF)
%K System state transition based Monte Carlo Simulation (SSTMCS)
%K Radial Distribution System (RDS)
%K State Enumeration Method ( SEM)
%R 10.22098/joape.2023.9939.1701
%X A sampling method is proposed related to-system state transition based Monte Carlo simulation (SSTMCS) for the adequacy assessment in the radial distribution system (RDS) in the presence of distributed generation (DG) termed as a composite distribution system (CDS). This method evaluates well-being indices such as probabilities, frequency, and duration indices in healthy, marginal, and risky states. A deterministic criterion is used for adequacy assessment. Samples are generated using a load flow program for RDS used in SSTMCS. The loss sensitivity factor is utilized for the positioning of DGs in RDS. DG capacity and load at buses are considered continuous random variables. Different cases are addressed to demonstrate the impact of varying DG capacities on well-being indices. Moreover, the results are compared with the state enumeration method (SEM). IEEE-33 bus RDS is considered for this study.
%U https://joape.uma.ac.ir/article_1803_34f8efe5c236e5f6427438c68a6236fd.pdf