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.