Pregled bibliografske jedinice broj: 240964
Long term multi-stage planning of open loop distribution networks under uncertainty
Long term multi-stage planning of open loop distribution networks under uncertainty // Proceeding of the 15th Power Systems Computation Conference / Andersson , Goran ; Wellssow, W.H. (ur.).
Liege, 2005. str. PS2.3.1-PS2.3.8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 240964 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Long term multi-stage planning of open loop distribution networks under uncertainty
Autori
Skok, Minea ; Krajcar, Slavko ; Škrlec, Davor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceeding of the 15th Power Systems Computation Conference
/ Andersson , Goran ; Wellssow, W.H. - Liege, 2005, PS2.3.1-PS2.3.8
Skup
15th Power Systems Computation Conference, PSCC 2005
Mjesto i datum
Liège, Belgija, 22.08.2005. - 26.08.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
primary distribution network; planning; open loop layout; evolutionary algorithm; dynamic model; uncertainty; robustness; fuzzy sets
Sažetak
This paper presents a new and efficient method based on evolutionary algorithms to address the multi-stage (dynamic) planning of open loop structured distribution networks under uncertainty taking into account distributed generation connected to distribution system. The proposed model can cope with important features implicit in planning studies such as time-phased representation and uncertainty in loads, distributed generation and prices. As European distribution system in urban and suburban areas are operated as open loops, besides using modern reliability indexes as optimization attributes, the traditional approach of contingency coverage perspective in the horizon of study period is introduced as one of the constraints in the model of the problem. Besides optimal radial layout along several stages in time, the algorithm can determine the optimal locations of reserve feeders that achieve the best network reliability with the lowest expansion and operational costs. The uncertainty is modelled using fuzzy numbers. The model and evolutionary algorithms have been applied intensively to real life power distribution systems showing its potential applicability to large scale systems. Results have illustrated the significant influence of the uncertainties in the optimal distribution network planning mainly in terms of topology and supply capacity of the resulting optimal distribution system.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
