Pregled bibliografske jedinice broj: 1057840
Integrated Distribution Network Planning Tool Supported by Geographical Information System
Integrated Distribution Network Planning Tool Supported by Geographical Information System // IEEE Sustainable Power and Energy Conference: Grid Modernization for Energy Revolution (iSPEC 2019)
Peking, Kina: Institute of Electrical and Electronics Engineers (IEEE), 2019. 1926, 6 doi:10.1109/ispec48194.2019.8975029 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1057840 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Integrated Distribution Network Planning
Tool
Supported by Geographical Information
System
Autori
Antić, Tomislav ; Capuder, Tomislav ; Zidar, Matija ; Grašo, Joško ; Marušic, Anton
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
IEEE Sustainable Power and Energy Conference: Grid Modernization for Energy Revolution (iSPEC 2019)
Mjesto i datum
Peking, Kina, 21.11.2019. - 23.11.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Data integration, Distribution Network Planning, Geoinformation Systems (GIS), Optimization
Sažetak
Historically the distribution system operator (DSO) planned the network considering single direction flow of energy. With the liberalization of the retail market and uptake of end-user investments, either in generation, flexible demand or storage, this process became more complex. To tackle these new challenges the DSOs should take advantage of newly available data sources and technologies to further enhance their network planning tools. This paper describes and elaborates on the concept and procedures to create an integrated software tool by using data from multiple sources and existing DSO applications. The final product is designed to help distribution system operator in easier planning of the distribution network layout. Challenges of creating the tool range from quality and source of the input data to the time needed for the optimization algorithms to find the optimal solution. Finally, the functionality of the tool is presented on a case study of a real distribution network in Zagreb, Croatia.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
