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A formulation for large-scale transmission expansion planning problem and a solution strategy
KTH, School of Electrical Engineering (EES), Electric Power Systems.
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2013 (English)In: 2013 10th International Conference on the European Energy Market (EEM), IEEE , 2013, 6607393- p.Conference paper (Refereed)
Abstract [en]

The expected deployment of massive renewable energy sources (RES, mainly of wind and solar) at a continental or even intercontinental level creates very complex transmission expansion planning (TEP) problems. Both the size of the system and the level of uncertainty are huge. Solving a TEP problem for such big networks under high levels of uncertainty demands an exceptionally huge computational effort when using reasonably precise models. Conventional modeling approaches and solution strategies cannot be directly reproduced in this case due to their computational limitations. In this paper, we show a systematic way of approaching the problem, which deals both with modeling and with solution strategy aspects. We formulate the TEP problem as a two period stochastic linear programming problem characterized by common investment decisions to all scenarios in the first period and scenario-dependent decisions in the second period. In order to make it tractable, we devise a solution strategy based on decomposing the problem into successive optimization phases. Each phase uses the results of the previous one to reduce the search space. This reduction in complexity allows each phase to use more complex models with a similar computational load. Each optimization phase could be defined and solved as an independent problem, thus, allowing the use of specific decomposition techniques, or parallel computation when possible. A modified Garver's system is used to illustrate the methodologies. Test results from IEEE-300 bus system show that the proposed solution strategy is very effective. And, integrating the proposed solution strategy in the solution process contributes to a significant reduction in computational effort while fairly maintaining optimality of the solution.

Place, publisher, year, edition, pages
IEEE , 2013. 6607393- p.
, International Conference on the European Energy Market, EEM, ISSN 2165-4077
Keyword [en]
renewable energy sources, solution strategy, stochastic programming, Transmission expansion planning
National Category
Energy Systems
URN: urn:nbn:se:kth:diva-141502DOI: 10.1109/EEM.2013.6607393ScopusID: 2-s2.0-84891616210ISBN: 978-147992008-2OAI: diva2:697352
10th International Conference on the European Energy Market, EEM 2013; Stockholm; Sweden; 27 May 2013 through 31 May 2013

QC 20140218

Available from: 2014-02-18 Created: 2014-02-18 Last updated: 2014-02-18Bibliographically approved

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