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Planning Algorithm for Single Wire Earth Return Distribution Networks
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0001-6000-9363
Makerere University, Faculty of Technology.
2012 (English)In: Power and Energy Society General Meeting, 2012 IEEE, 2012, 1-7 p.Conference paper, Published paper (Refereed)
Abstract [en]

Power flow in earth return distribution systems typically depends on geographical location and specific earth properties. The planning of such systems has to take into account different operational and safety constraints from conventional distribution systems. This work presents the mathematical modeling and planning of Single Wire Earth Return (SWER) power distribution networks. The SWER load flow is modeled and formulated as an optimization problem. Then by using a heuristic iterative procedure, a planning algorithm is developed for the SWER system. The developed procedure includes optimal feeder routing and overhead conductor selection for both primary and lateral feeders with load growth over several time periods. A 30 node test network extracted from a rural area in Uganda is used to test the algorithm's practical application to give reasonable and consistent results. The model presented can be used in planning SWER networks for areas which have previously not been electrified as well as determining suitable upgrades for existing SWER distribution feeders. The algorithm's mathematical modeling and simulations were done using the General Algebraic Modeling System (GAMS).

Place, publisher, year, edition, pages
2012. 1-7 p.
Keyword [en]
Optimal power flow, power distribution, power system modeling, power system planning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-100473DOI: 10.1109/PESGM.2012.6344816ISI: 000312493701137Scopus ID: 2-s2.0-84870591836ISBN: 978-1-4673-2727-5 (print)ISBN: 978-1-4673-2728-2 (print)OAI: oai:DiVA.org:kth-100473DiVA: diva2:543527
Conference
IEEE Power and Energy Society General Meeting, San Diego, California, USA, 22-26 July 2012
Funder
StandUp
Note

QC 20121211

Available from: 2012-08-08 Created: 2012-08-08 Last updated: 2016-11-24Bibliographically approved

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Amelin, Mikael

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Output format
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