Title :
Integration of GIS data into a PSS Sincal electrical model
Author :
Dooley, John ; Hunt, Sarah ; White, Paul
Author_Institution :
ESB Int., Dublin, Ireland
Abstract :
Planning of Distribution Systems is a complex task and may be optimised by the use of software tools such as GIS (Graphical Information Systems) and an electrical model of the system. Simultaneous use of these two packages is not ideal and can be problematic, especially if both are not updated with exactly the same information. PSS Sincal is a distribution and planning software package developed and maintained by Siemens. This paper details an algorithm developed by ESBI to integrate GIS data into a working PSS Sincal electrical model. PSS Sincal has an open database structure which provides the ability to integrate the software with other programs, such as GIS. However, the software does not have ready built modules to carry out this task. In order to enable this integration between PSS Sincal and GIS, all functionality must be derived by the user.
Keywords :
geographic information systems; power distribution planning; power engineering computing; power system stability; software packages; software tools; GIS data integration; PSS Sincal electrical model; distribution system planning; geographical information systems; open database structure; planning software package; software tools;
Conference_Titel :
Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
Conference_Location :
Stockholm
Electronic_ISBN :
978-1-84919-732-8
DOI :
10.1049/cp.2013.0593