Sistema IGT para Balanceamento de Fases na Rede Legada de Baixa Tensão e Smart Grids.

Abstract

One of the main problems in the legacy low-voltage (LV), is the load imbalance that implies the phases’ load stability and the energy quality supplied to the end consumers. The load phase balance by the dynamic switch through local controllers based on the energy management consumption is an interesting overview to establish lasting load balance. This article presents the load-phase balance system results based on combined algorithms, called Transformer Management Intelligence (TMI) which evaluates the load consumption, forecasting, and generation from consumption and ”prosumers” units and generates a switching matrix that effectively attenuates, the unbalance load average (ULA) and the neutral current. Thus ensuring, the load balance phase over a long period of time, in the grid.