DocumentCode :
1762191
Title :
A Parallel Monte Carlo Method for Optimum Allocation of Distributed Generation
Author :
Martinez, J.A. ; Guerra, Gilberto
Author_Institution :
Dept. d´Eng. Electr., Univ. Politec. de Catalunya, Barcelona, Spain
Volume :
29
Issue :
6
fYear :
2014
fDate :
Nov. 2014
Firstpage :
2926
Lastpage :
2933
Abstract :
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.
Keywords :
Monte Carlo methods; distributed power generation; mathematics computing; multiprocessing systems; power distribution; power engineering computing; DG units; MATLAB; OpenDSS; distributed generation; distributed resources; energy loss minimization; multicore computing environment; open environment; optimum allocation estimation; parallel Monte Carlo method; three-phase distribution systems; time varying shape; Distributed power generation; Load flow; MATLAB; Monte Carlo methods; Multicore processing; Resource management; Distributed generation; Monte Carlo method; distribution system; load flow; loss minimization; optimal placement; parallel computing;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2014.2317285
Filename :
6807817
Link To Document :
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