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- W3035658081 abstract "This study proposes probabilistic load flow (PLF) and chaotic lightning search algorithm (CLSA) solution optimal sizing and placement of distributed generator (DG) and distribution static compensator (DSTATCOM) in a radial distribution system (RDS). Minimization of active power losses in RDS has also been taken as an additional objective. The proposed CLSA based on Gauss/mouse map is proposed in this paper to avoid low convergence rate and trapping in local optima problems. The gauss/mouse map is used to change random LSA forking occurrence instead of using the random variable. Once the size and location of DG and DSTATCOM has been identified, PLF has been carried out to study their impact on the RDS performance. The performance of CLSA for loss minimization in RDS considering DG as well as DSTATCOM under various cases has been verified on the Matlab platform. To demonstrate the effectiveness of the proposed CLSA based scheme, some detailed simulation results are presented and analyzed for the 33-bus system (RDS-1) and the 69-bus test system (RDS-2). The obtained results demonstrate the superior performance of the proposed scheme in comparison with the conventional schemes." @default.
- W3035658081 created "2020-06-19" @default.
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- W3035658081 date "2019-12-01" @default.
- W3035658081 modified "2023-09-28" @default.
- W3035658081 title "Notice of Retraction: Probabilistic Load Flow Based Optimal Sizing and Placement of DG and DSTATCOM Using Chaotic Lightning Search Algorithm" @default.
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- W3035658081 doi "https://doi.org/10.1109/iceeccot46775.2019.9114853" @default.
- W3035658081 hasPublicationYear "2019" @default.
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