Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1602-178
Abstract
Planning of an electric distribution network is a complex task, requiring a comprehensive approach that includes collecting and analyzing large amounts of technical and nontechnical data. In addition, the outcome of the planning procedure needs to be supported by economic analysis that provides pathways for future investments. In order to present the planning results to various groups of people, such as technical staff, managers, and politicians, different visualization techniques are used. Data visualization, as a branch of descriptive statistics, is important to understand and present information in an effective manner. The basic idea of visualization is to present data in a visual form, allowing a person to get a quick insight into the data, draw conclusions, and directly interact with the data. Some traditional methods, such as graphs, histograms, 2D column and line charts, single line diagrams, and 3D surfaces with contours, are mandatory for visualizing power data. However, in the electric power system business there is a growing need for geographically referenced visualization. While there is a lot of research being done on visualizing data in transmission power systems, the number of studies on display methods in distribution power systems is limited. The focus of this paper is the visualization of data used during the distribution network planning process.
Keywords
Data visualization, distribution network planning, geographical referencing
First Page
2871
Last Page
2884
Recommended Citation
CAPUDER, TOMISLAV; PANDZIC, HRVOJE; and KUZLE, IGOR
(2017)
"Visualization of distribution system planning for engineers and decision-makers,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25:
No.
4, Article 27.
https://doi.org/10.3906/elk-1602-178
Available at:
https://journals.tubitak.gov.tr/elektrik/vol25/iss4/27
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons