dc.date.accessioned2018-07-30T14:06:17Z
dc.date.available2018-07-30T14:06:17Z
dc.date.created2018-07-30T14:06:17Z
dc.date.issued2016
dc.identifierhttp://hdl.handle.net/10533/219057
dc.identifier1130793
dc.identifierWOS:000377374800062
dc.description.abstractIn this paper, the problem of power losses minimization is carried out with the aim of attaining minimum power losses in an electrical power system. The current industry practice is to locally install reactive power compensation systems. Using capacitor banks, it can help to maintain bus voltages and power factors as well as reduce the power cable losses. As a result, this action will help to meet any future load increase. Currently, because of huge uncertainties affecting some relevant input variables, expansion plans frequently are subject to continuous reviews and modifications. In addition, probabilistic analysis, specifically with the application of the Monte Carlo method, is exploited for assessing the attributes of different solutions (capacitor banks). Finally, exhaustive numerical results on a real sub-transmission system demonstrate that the proposed formulation and approach are effective obtaining positive simulation results. Comparisons of different control techniques are shown, and conclusions are derived. Keywords. Author Keywords:Minimization; Power Losses; Capacitor placement; Digsilent Programming Language; Monte Carlo; Uncertainty; Clustering
dc.languageeng
dc.relationhttps://ieeexplore.ieee.org/document/7483543/
dc.relation10.1109/TLA.2016.7483543
dc.relationinfo:eu-repo/grantAgreement//1130793
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleStochastic Optimal Allocation of Capacitor Banks for System Loss Minimization
dc.typeArticulo


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