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Large scale transmission network planning using optimization and heuristic techniques

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3 Author(s)
Oliveira, G.C. ; CEPEL, Electr. Power Res. Center, Rio de Janeiro, Brazil ; Costa, A.P.C. ; Binato, S.

Pursuing optimal solutions for large scale transmission network planning problems is a formidable task due to their combinatorial nature and also due to the nonconvexities involved. Successful approaches using hierarchical Benders decomposition incur in a high computational cost mainly due to the need to solve a large integer program (the investment sub-problem) for every Benders iteration. In this work the authors propose to use heuristics within the decomposition framework, therefore avoiding to solve to optimality each integer sub-problem. The global computational effort is substantially reduced, and allows coping with large problems that would be intractable using classical combinatorial techniques. Case studies with the 6 bus Garver test system and a reduced Southeastern Brazilian power network are presented and discussed.

Published in:

Power Systems, IEEE Transactions on  (Volume:10 ,  Issue: 4 )