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A parallel Monte Carlo method for optimum allocation of distributed generation
Martínez Velasco, Juan Antonio; Guerra Sánchez, Luis Gerardo
Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
This paper presents a procedure for estimating the optimum allocation of distributed generation (DG) units in large distribution systems by using a multicore computing environment. The main goal of this work is to explore the application of a refined parallel Monte Carlo method for energy loss minimization in three-phase distribution systems when considering the intermittent nature of some distributed resources and the time varying shape of the loads. The procedure has been implemented in an open environment in which OpenDSS is driven from MATLAB. Some examples illustrate the scope of the proposed procedure.
Àrees temàtiques de la UPC::Energies::Energia elèctrica::Automatització i control de l’energia elèctrica
Àrees temàtiques de la UPC::Informàtica
Monte Carlo method
Direct energy conversion
Distributed generation
Distribution system
Load flow
Loss minimization
Monte Carlo method
Optimal placement
Parallel computing
Montecarlo, Mètode de
Energia--Conversió directa
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
Artículo
         

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