A Parallel Monte Carlo Method for Optimum Allocation of Distributed Generation

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 minim...

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Bibliographic Details
Published in:IEEE transactions on power systems 2014-11, Vol.29 (6), p.2926-2933
Main Authors: Martinez, Juan A., Guerra, Gerardo
Format: Article
Language:English
Subjects:
Automatització i control de l’energia elèctrica
Conversió directa
Direct energy conversion
Distributed generation
Distributed power generation
Distribution system
Energia
Energia elèctrica
Energies
Informàtica
Load flow
Loss minimization
MATLAB
Monte Carlo method
Monte Carlo methods
Montecarlo, Mètode de
Multicore processing
Optimal placement
Parallel computing
Resource management
Àrees temàtiques de la UPC
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Summary: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.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2014.2317285