Flexgrid technology has recently been presented as the most promising option for upgrading the currently operating fixed grid optical networks and extending their capacity to be able to deal with the massive traffic volumes forecast for the next decade. Although the current traffic is successfully supported on fixed grid networks, flexgrid technology brings features that are not offered by the fixed grid networks, such as transporting optical connections with a capacity beyond 100 Gb/s and elasticity against time-varying traffic. In light of this, a gradual fixed grid to flexgrid migration is generally accepted in order to add these useful features to the network. In this article, we study the migration process where flexgrid is deployed in the network progressively, and review the main drivers and open issues induced by its deployment.Peer ReviewedPostprint (published version
This paper investigates the most favorable conditions for a full defragmentation procedure when evolving from a fixed to a flexible-grid scenario. Results show that migrating legacy channels to flexible-grid formats can yield up to 50% more capacity for future traffic, provided these legacy channels are also spectrally re-planned.
This paper presents the studies and specifications of the development of a computational platform for distributed generation connection evaluation that uses the concept of Hosting Capacity and automated individual analysis of the connection as well as a protocol to utilize this platform. The risks and problems linked to the unbridled and without criteria connection of distributed generation to the network and its connection processes are addressed. Finally, a case study applied to a real network is presented, evidencing the mitigation of potential power quality problems brought by the insertion of distributed generation and other benefits achieved with the use of the solution developed and applied. computational DG connection tools developed by the authors is the main theme of this article, as well as aDaniel Szente Fonseca et al.
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