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Pregled bibliografske jedinice broj: 90339

GIS Enhanced Long-Term Planning of MV Distribution Networks


Zmijarević, Zlatko; Krajcar, Slavko; Škrlec, Davor
GIS Enhanced Long-Term Planning of MV Distribution Networks // Proceedings of the IASTED International Conference on Power and Energy Systems (PES 2002) / Smedley, K.M.; Karady, G.; Koval, D.; Edris, A.-A. (ur.).
Anaheim (CA): ACTA Press, 2002. str. 97-102 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 90339 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
GIS Enhanced Long-Term Planning of MV Distribution Networks

Autori
Zmijarević, Zlatko ; Krajcar, Slavko ; Škrlec, Davor

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

Izvornik
Proceedings of the IASTED International Conference on Power and Energy Systems (PES 2002) / Smedley, K.M.; Karady, G.; Koval, D.; Edris, A.-A. - Anaheim (CA) : ACTA Press, 2002, 97-102

Skup
IASTED International Conference on Power and Energy Systems (PES 2002)

Mjesto i datum
Marina del Rey (CA), Sjedinjene Američke Države, 13.05.2002. - 15.05.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Long-Term Distribution Planning; Geographic Information Systems; Genetic Algorithms

Sažetak
This paper outlines a methodology for long-term planning of MV power distribution networks. The optimization procedure within the proposed methodology is based on genetic algorithms for optimal routing of primary feeders in open-loop and link networks. A brief overview of the algorithms is given to emphasize the applicability and constraints of the methodology. The proposed methodology relies on geographically referenced data stored in an arbitrary Geographic Information System (GIS) and takes into account the existing network structure. For verification and exploitation, an extension to a successful commercial desktop GIS has been developed for preparing necessary data and for interpreting results. An addition to this paper is a short compilation of directions for the future based on experiences gained through the development of our tools and user feedback.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
036016

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Davor Škrlec (autor)

Avatar Url Slavko Krajcar (autor)

Avatar Url Zlatko Zmijarević (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Zmijarević, Zlatko; Krajcar, Slavko; Škrlec, Davor
GIS Enhanced Long-Term Planning of MV Distribution Networks // Proceedings of the IASTED International Conference on Power and Energy Systems (PES 2002) / Smedley, K.M.; Karady, G.; Koval, D.; Edris, A.-A. (ur.).
Anaheim (CA): ACTA Press, 2002. str. 97-102 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Zmijarević, Z., Krajcar, S. & Škrlec, D. (2002) GIS Enhanced Long-Term Planning of MV Distribution Networks. U: Smedley, K., Karady, G., Koval, D. & Edris, A. (ur.)Proceedings of the IASTED International Conference on Power and Energy Systems (PES 2002).
@article{article, author = {Zmijarevi\'{c}, Zlatko and Krajcar, Slavko and \v{S}krlec, Davor}, year = {2002}, pages = {97-102}, keywords = {Long-Term Distribution Planning, Geographic Information Systems, Genetic Algorithms}, title = {GIS Enhanced Long-Term Planning of MV Distribution Networks}, keyword = {Long-Term Distribution Planning, Geographic Information Systems, Genetic Algorithms}, publisher = {ACTA Press}, publisherplace = {Marina del Rey (CA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Zmijarevi\'{c}, Zlatko and Krajcar, Slavko and \v{S}krlec, Davor}, year = {2002}, pages = {97-102}, keywords = {Long-Term Distribution Planning, Geographic Information Systems, Genetic Algorithms}, title = {GIS Enhanced Long-Term Planning of MV Distribution Networks}, keyword = {Long-Term Distribution Planning, Geographic Information Systems, Genetic Algorithms}, publisher = {ACTA Press}, publisherplace = {Marina del Rey (CA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }




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