Planning of Low-Voltage Distribution Systems with Uncertainty on Load Demand in Urban Areas
Résumé
Abstract—In a long-term planning procedure of distribution
networks, it is essential to design an appropriate topology in
order to satisfy economic and technical aspects. This paper
presents a novel algorithm to optimize the topology and phase
balancing to tackle the challenge of load demand uncertainty (i.e.,
growth rate and new load). The paper aims at developing a longterm
planning tool of low-voltage (LV) distribution systems to
find which load connection phase induces the lowest costs
(investment and power losses) and balancing system
improvement while satisfying the constraints over the planning
horizon. A mixed integer quadratically constrained
programming (MIQCP)-arborescence flow and shortest path in
parallel with first-fit bin packing are developed to realize this
work. In this study, an example of LV distribution system with 33
buses is applied to be a case study of the initial planning year. To
evaluate the results, Monte Carlo (MC) simulation method is
employed to determine the statistical actualized costs of different
strategies. The simulation results support the validity of the
methodology proposed in this article.