DocumentCode
135286
Title
Actor systems for flexible, scalable and modular simulation of electrical power systems
Author
Montenegro, Davis ; Ramos, Gustavo A. ; Bacha, S.
Author_Institution
Univ. of los Andes, Bogota, Colombia
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
This paper presents the Actor model as the base to develop high performance simulation environments using three different hardware architectures. Each simulator is oriented to cover different computational needs, looking for portability and compatibility within a graphical simulation system to support smart grid studies. To achieve this, the Actor model was used to integrate existing simulation platforms without graphical interface (EPRI´s OpenDSS), database systems, new component models created locally, and communication interfaces within a graphical development environment. To evaluate the performance of this simulator, classical simulations are performed using vertical code to reproduce similar situations. As result, the systems based in Actor model deliver a reduced time of computation transforming of data into information, covering flexibility, modularity and scalability to interoperate with user customized applications. All developments where made using NI LabVIEW®, NI LabVIEW-RT®, MATLAB and RT-LAB®.
Keywords
distribution networks; power engineering computing; power system simulation; smart power grids; Actor model; MATLAB; NI LabVIEW-RT; RT-LAB; electrical power systems; graphical development environment; graphical simulation system; modular simulation; smart grid; vertical code; Computational modeling; Computer architecture; Decision support systems; Hardware; Mathematical model; Power systems; Real-time systems; Computing architectures; distribution networks; fast simulation; hardware in the loop; power systems; real time; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6939229
Filename
6939229
Link To Document