Title :
ADSM-an automated distribution system modeling tool for engineering analyses
Author :
Wei, X.-G. ; Sumic, Z. ; Venkata, S.S.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fDate :
2/1/1995 12:00:00 AM
Abstract :
Designing and operating the distribution system efficiently and economically requires distribution engineers to perform various analytical studies frequently. The system models for these analyses are derived from the information residing in diverse utility databases. One major problem in utilizing these databases is the data mismatch due to different software specifications and hardware platforms. This means additional effort is required to transform data among these systems before engineers can perform any distribution system analyses. The Automated Distribution System Modeler (ADSM) developed jointly at the University of Washington (UW) and Puget Sound Power and Light Co. (PSPL) provides an automated approach for the distribution system modeling. This software tool builds a unified distribution system model automatically from the utility databases and provides a generic interface to various engineering analysis tools. This paper describes the object-oriented design concept of such a tool and discusses the merits of the geographic information system (GIS) environment used as a platform for ADSM
Keywords :
database management systems; distribution networks; geographic information systems; object-oriented methods; power system analysis computing; Automated Distribution System Modeler; Puget Sound Power and Light Company; Washington University; automated distribution system modeling tool; distribution system design; distribution system operation; engineering analyses; engineering analysis tools; generic interface; geographic information system; hardware platforms; object-oriented design; software specifications; utility databases; Acoustical engineering; Data engineering; Databases; Environmental economics; Geographic Information Systems; Object oriented modeling; Performance analysis; Power engineering and energy; Power generation economics; Power system modeling;
Journal_Title :
Power Systems, IEEE Transactions on