DocumentCode
1377991
Title
Tabu search algorithm for network synthesis
Author
Gallego, Ramon A. ; Romero, Rubén ; Monticelli, Alcir J.
Author_Institution
UTP, Pereira, Colombia
Volume
15
Issue
2
fYear
2000
fDate
5/1/2000 12:00:00 AM
Firstpage
490
Lastpage
495
Abstract
Large scale combinatorial problems such as the network expansion problem present an amazingly high number of alternative configurations with practically the same investment, but with substantially different structures (configurations obtained with different sets of circuit/transformer additions). The proposed parallel tabu search algorithm has shown to be effective in exploring this type of optimization landscape. The algorithm is a third generation tabu search procedure with several advanced features. This is the most comprehensive combinatorial optimization technique available for treating difficult problems such as the transmission expansion planning. The method includes features of a variety of other approaches such as heuristic search, simulated annealing and genetic algorithms. In all test cases studied there are new generation, load sites which can be connected to an existing main network: such connections may require more than one line, transformer addition, which makes the problem harder in the sense that more combinations have to be considered
Keywords
combinatorial mathematics; genetic algorithms; power transformers; power transmission planning; simulated annealing; circuit addition; combinatorial optimization; combinatorial problems; genetic algorithms; heuristic search; load sites; network expansion; network synthesis; optimization; parallel tabu search algorithm; simulated annealing; tabu search algorithm; third generation tabu search procedure; transformer addition; transmission expansion planning; Circuits; Cost function; Genetic algorithms; Helium; Hybrid power systems; Investments; Large-scale systems; Network synthesis; Simulated annealing; Testing;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.867130
Filename
867130
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