PROJECT TITLE :

Voltage Sensitivity Analysis of a Laboratory Distribution Grid With Incomplete Data

ABSTRACT:

New voltage management algorithms are necessary to deal with the increasing quantity of distributed generation and electrical vehicles in distribution networks. Many of the newly proposed voltage control algorithms are based on linearized dependencies between the voltage magnitude, and the active and reactive power consumption. These linearized dependencies are normally obtained by algorithms, that depend on correct grid topology data. Thanks to the historically passive operation of low voltage (LV) distribution networks, this information is sometimes missing, incomplete, or inaccurate. Thus, this paper introduces a technique to extract these linear dependencies primarily based on historical sensible meter knowledge solely. No information about the grid topology is required. The model adapts to the changing load conditions in the network. The algorithm encompasses a low complexity and is applied to an unbalanced LV distribution network. Information of a sensible laboratory setup is used to validate the proposed technique in real-life conditions. With the obtained voltage sensitivity factors a voltage management strategy was implemented for the laboratory grid.