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Pregled bibliografske jedinice broj: 90742

Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems


Skok, Minea; Škrlec, Davor; Krajcar, Slavko
Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems // Proceedings of the 2002 Large Engineering Systems Conference on Power Engineering
Halifax, Kanada, 2002. str. 55-60 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems

Autori
Skok, Minea ; Škrlec, Davor ; Krajcar, Slavko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2002 Large Engineering Systems Conference on Power Engineering / - , 2002, 55-60

Skup
2002 Large Engineering Systems Conference on Power Engineering, LESCOPE'02

Mjesto i datum
Halifax, Kanada, 26.06.2002. - 28.06.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Geographical Information System; Genetic Algorithm; Large Scale Link Distribution Networks; Distribution System Planning

Sažetak
In order to enhance the reliability and serviceability in the distribution system genetic algorithm and GIS based method is proposed in this article for planning the link distribution networks. All practical issues such as cost parameters (investments, line losses, maintenance), and technical constraints (voltage drop, thermal limit, reliability) as well as physical routing constraints (obstacles, high cost passages, existing line sections) are taken into consideration. Fuzzy set concepts and scenario representation (tree of futures) to model uncertainties as well as decision making guided by a paradigm of multi-criteria risk analysis are discussed. The merits of the approach are discussed by analyzing its application to a study case based on real case in a Croatian utility.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036016

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Minea Skok (autor)

Avatar Url Davor Škrlec (autor)

Avatar Url Slavko Krajcar (autor)


Citiraj ovu publikaciju:

Skok, Minea; Škrlec, Davor; Krajcar, Slavko
Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems // Proceedings of the 2002 Large Engineering Systems Conference on Power Engineering
Halifax, Kanada, 2002. str. 55-60 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Skok, M., Škrlec, D. & Krajcar, S. (2002) Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems. U: Proceedings of the 2002 Large Engineering Systems Conference on Power Engineering.
@article{article, author = {Skok, Minea and \v{S}krlec, Davor and Krajcar, Slavko}, year = {2002}, pages = {55-60}, keywords = {Geographical Information System, Genetic Algorithm, Large Scale Link Distribution Networks, Distribution System Planning}, title = {Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems}, keyword = {Geographical Information System, Genetic Algorithm, Large Scale Link Distribution Networks, Distribution System Planning}, publisherplace = {Halifax, Kanada} }
@article{article, author = {Skok, Minea and \v{S}krlec, Davor and Krajcar, Slavko}, year = {2002}, pages = {55-60}, keywords = {Geographical Information System, Genetic Algorithm, Large Scale Link Distribution Networks, Distribution System Planning}, title = {Genetic Algorithm and GIS Enhanced Long Term Planning of Large Link Structured Distribution Systems}, keyword = {Geographical Information System, Genetic Algorithm, Large Scale Link Distribution Networks, Distribution System Planning}, publisherplace = {Halifax, Kanada} }




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