Pregled bibliografske jedinice broj: 92404
Automatic object-oriented code generation to power system on-line optimization and analysis.
Automatic object-oriented code generation to power system on-line optimization and analysis. // Proceedings of the IASTED International Conference Modelling, Identification, and Control.
Anaheim (CA), 2002. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 92404 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Automatic object-oriented code generation to power system on-line optimization and analysis.
Autori
Džafic, Izudin ; Tešnjak, Sejid ; Glavić, Mevludin
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IASTED International Conference Modelling, Identification, and Control.
/ - Anaheim (CA), 2002
Skup
21st IASTED International Conference on Modeling, Identification and Control
Mjesto i datum
Innsbruck, Austrija, 18.02.2002. - 21.02.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
automatic object-oriented code generation; power system online optimization;
Sažetak
This paper addresses issues of application development for power system online optimization and analysis. The paper provides a unique way of power system application composition. In order to obtain simplicity, a tool for automatic code generation is developed. This tool enables users to enter mathematical optimization model of power system in natural form, test that model, and generate code to be built into executable stand-alone application. Since the code-generator application is dedicated to power system analysis it is equipped with special modules that convert power system input data formats into format supported by the code-generator tool itself. The application for power system code generation is equipped with module for symbolical derivative information generation. Symbolical module is used for automatic code generation of Jacobian and first derivatives needed to generate optimization conditions. Thus, the user does not spend time on manual programming but on designing proper optimization model of power system. Furthermore, complete software design process from initial idea to implementation is faster and less error prone.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036016
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Sejid Tešnjak
(autor)