Towards A Global Evaluation Of Uncertainty For The Monitoring Of Distribution Grids

In electrical distribution networks many automation applications, such as voltage and power control, require to access the status of the system. Such information can be obtained by aggregating the heterogeneous measurements available in the grid and then applying state estimation algorithms. Different factors may have an impact on the estimation errors when the grid status evolves dynamically. The scope of this paper is to point out the different contributions affecting the global uncertainty of state estimation results when fast dynamics are present in the grid, for example due to fast variations of renewable energy sources generation or customers power consumption. The so-called "4 quadrants' method" is proposed to quantify and decompose such uncertainty components. The results of the 4 quadrants method may be useful in the process of design of the monitoring infrastructure.