A Strategy to Solve the Multistage Transmission Expansion Planning Problem

In this letter, a heuristic to reduce the combinatorial search space (CSS) of the multistage transmission expansion planning (MTEP) problem is presented. The aim is to solve the MTEP modeled like a mixed binary linear programming (MBLP) problem using a commercial solver with a low computational time...

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Veröffentlicht in:IEEE transactions on power systems Jg. 26; H. 4; S. 2574 - 2576
Hauptverfasser: Vinasco, G., Rider, M. J., Romero, R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Combinatorial analysis
Combinatorial mathematics
Combinatorial optimization
Conferences
Heuristic
Linear programming
Mathematical models
mixed binary linear programming problem
Multistage
multistage transmission expansion planning
Power system planning
Searching
Solvers
Strategy
ISSN:0885-8950, 1558-0679
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Beschreibung
Zusammenfassung:In this letter, a heuristic to reduce the combinatorial search space (CSS) of the multistage transmission expansion planning (MTEP) problem is presented. The aim is to solve the MTEP modeled like a mixed binary linear programming (MBLP) problem using a commercial solver with a low computational time. The heuristic uses the solution of several static transmission expansion planning problems to obtain the reduced CSS. Results using some test and real systems show that the use of the reduced CSS solves the MTEP problem with better solutions compared to other strategies in the literature.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2011.2126291