Celso Cavellucci

TL;DR: In this paper, an optimization methodology to allocate switches on radially operated distribution networks is proposed to minimize the costs of allocation and energy not supplied, under reliability and flow capacity constraints.

TL;DR: In this article, the authors survey the evolution of the ideas behind energy loss estimation and focus on the development of the concepts of the loss factor and equivalent hours, and propose an alternative loss estimation approach that relies on the "loss coefficient" as the fundamental parameter for describing load variations in loss estimation.

TL;DR: In this article, an evolutionary approach based on memetic algorithms was proposed to solve the capacitors placement problem in large-scale electrical distribution networks, where the memetic algorithm employs a hierarchical organization of the population in overlapping clusters, which leads to special selection and reproduction schemes.

TL;DR: In this paper, two algorithms are proposed to solve the loss reduction problem with fixed configuration for the whole planning period for both fixed and variable demands, and simple examples illustrate significant aspects of the problem with variable demands.

TL;DR: Nonlinear network flow techniques are teamed with search strategies borrowed from the field of artificial intelligence to overcome computation intractability in a network topology with minimum energy losses for electric power distribution systems.