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Communication Dans Un Congrès Année : 2017

Low-Voltage Distribution System Planning under Load Demand Uncertainty: Growth Rate with Connection of New Loads

Résumé

This paper presents a novel algorithm to optimize a topology for tackling the challenge of increasing uncertainty on load demand (growth rate with connection of new loads) in lowvoltage (LV) distribution. This paper aims at finding which load connection phase induces the lowest costs (investment and power losses) and phase balancing while satisfying the techno-economic aspects over planning study. A mixed integer quadratically constrained programming (MIQCP) and shortest path-bin packing with arborescence flow are developed to perform this work. To illustrate this method, the example of LV distribution (33 bus) is chosen to be a case study of an initial year. Monte- Carlo (MC) simulation method is employed to evaluate the results. The simulation results obtained on test system support an effectiveness of method.
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Dates et versions

hal-01497667 , version 1 (29-03-2017)

Identifiants

  • HAL Id : hal-01497667 , version 1

Citer

Vannak Vai, Egor Gladkikh, Long Bun, Marie-Cécile Alvarez-Hérault, Bertrand Raison. Low-Voltage Distribution System Planning under Load Demand Uncertainty: Growth Rate with Connection of New Loads. 2017 International Electrical Engineering Congress 2017 (IEECON2017), Mar 2017, Pattaya, Thailand. ⟨hal-01497667⟩
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