Naslov
Dynamic Planning of Medium Voltage 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
Proceedings of 13th Conference on Intelligent Systems Application to Power Systems (ISAP 2005), / - , 2005, 551-556

Skup
13th Conference on Intelligent Systems Application to Power Systems (ISAP 2005)

Mjesto i datum
Sjedinjene Američke Države, 06.11.2005. - 10.11.2005

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
primary distribution network; planning; open-loop network; evolutionary algorithm; dynamic model; uncertainty; robustness; fuzzy sets

Sažetak
An efficient method to address the multi-stage planning of open loop structured mv distribution networks under uncertainty, taking into account distributed generation connected to distribution system, has been proposed. The fuzzy model can cope with important features implicit in planning studies such as time-phased representation, consideration of conflicting objectives and uncertainty in loads, distributed generation and economic data. Using two evolutionary algorithms simultaneous optimization of costs and the reliability is achieved. Thus, in addition to 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 model and evolutionary algorithms have been applied intensively to real life power distribution systems showing its potential applicability to significantly larger systems than those frequently found in literature about dynamic distribution networks planning. 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.An efficient method to address the multi-stage planning of open loop structured mv distribution networks under uncertainty, taking into account distributed generation connected to distribution system, has been proposed. The fuzzy model can cope with important features implicit in planning studies such as time-phased representation, consideration of conflicting objectives and uncertainty in loads, distributed generation and economic data. Using two evolutionary algorithms simultaneous optimization of costs and the reliability is achieved. Thus, in addition to 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 model and evolutionary algorithms have been applied intensively to real life power distribution systems showing its potential applicability to significantly larger systems than those frequently found in literature about dynamic distribution networks planning. 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

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