DocumentCode
2476727
Title
Requirements for advanced decision support tools in future distribution network planning
Author
Grond, Marinus O. W. ; Morren, J. ; Slootweg, Han
Author_Institution
Enexis B.V., Hertogenbosch, Netherlands
fYear
213
fDate
10-13 June 213
Firstpage
1
Lastpage
4
Abstract
This paper describes the need and requirements for advanced decision support tools in future network planning from a distribution network operator perspective. The existing tools will no longer be satisfactory for future application due to present developments in the electricity sector that increase uncertainty. Advanced decision support tools can help network planners to select among the numerous alternatives for the optimal future distribution network layout and expansion schedule. This in contrast to the existing method, whereas the generation of planning alternatives is carried out heuristically by network planners based on design directives and experience. Advanced decision support tools require the most efficient optimization techniques, must be able to find the optimal investment path considering multiple scenarios, and should not only consider classic expansion strategies but also intelligent ones (e.g. energy storage and controlling active demand). Advanced decision support tools would greatly help network operators to make better decisions under uncertainty, which contributes to an affordable, sustainable, and reliable electric energy supply.
Keywords
decision support systems; investment; optimisation; power distribution planning; scheduling; advanced decision support tools; design directives; distribution network operator; distribution network planning; electric energy supply; electricity sector; energy storage; expansion schedule; network planners; optimal future distribution network layout; optimal investment path;
fLanguage
English
Publisher
iet
Conference_Titel
Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
Conference_Location
Stockholm
Electronic_ISBN
978-1-84919-732-8
Type
conf
DOI
10.1049/cp.2013.1050
Filename
6683653
Link To Document