A Monte Carlo method for optimum placement of photovoltaic generation using a multicore computing environment

Author

Guerra, Gilberto ; Martinez, J.A.

Author_Institution

Dept. d´Eng. Electr., Univ. Politec. de Catalunya, Barcelona, Spain

fYear

2014

fDate

27-31 July 2014

Firstpage

1

Lastpage

5

Abstract

This paper presents a custom-made model of photovoltaic (PV) generator and a simple procedure for estimating the optimum allocation of PV generation units in distribution systems. The approach is based on a single-target model in which the objective is loss minimization. This work explores the application of a Monte Carlo method for loss minimization in a three-phase distribution system when considering the time varying shape of the node loads and that only solar generation is connected to the system. The procedure has been implemented in an open software platform in which OpenDSS is driven from MATLAB and uses a multicore distributed computing environment.

Keywords

Monte Carlo methods; distributed power generation; multiprocessing systems; photovoltaic power systems; power distribution planning; power engineering computing; power generation planning; Matlab; Monte Carlo method; OpenDSS; distribution systems; multicore computing environment; multicore distributed computing environment; photovoltaic generation optimum allocation; photovoltaic generation optimum placement; photovoltaic generator; Generators; Indexes; Load modeling; Mathematical model; Monte Carlo methods; Multicore processing; Temperature; Distributed Generation; Distribution System; Load Flow; Loss Minimization; Optimal Placement; Parallel Computing;

fLanguage

English

Publisher

ieee

Conference_Titel

PES General Meeting | Conference & Exposition, 2014 IEEE

Conference_Location

National Harbor, MD

Type

conf

DOI

10.1109/PESGM.2014.6939559

Filename

6939559