Abstract:

Electrical grid planning aims at optimizing the grid through the control of the performance and placement of electrical assets in order to minimize failures or vulnerabilities. With this purpose, grid planners carry out an initial stage of data exploration using a large volume of incident and equipment data collected over extensive time periods. In current practice these tasks are performed manually, which makes it very difficult to recognize patterns and gain insights into the data. In this paper, we propose a parallel multivariate visualization technique as a suitable approach for improving the existing practice. Based on the usage of an interactive visualization tool called BarExam, we demonstrate the feasibility of this visualization technique for displaying the dataset and present example insights that this visualization techniques can provide to grid planners.