Large scale transmission network planning using optimization and heuristic techniques

Journal Article · Wed Nov 01 04:00:00 EST 1995 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.476047· OSTI ID:160596

Oliveira, G C; Costa, A P.C.; Binato, S ^[1]

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1. CEPEL, Rio de Janeiro (Brazil)

Pursuing optimal solutions for large scale transmission network planning problems is a formidable task due to their combinatorial nature and also due to the non convexities 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 network are presented and discussed.

• OSTI ID: 160596
• Report Number(s): CONF-950103--
• Journal Information: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 4 Vol. 10; ISSN 0885-8950; ISSN ITPSEG
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
BRAZIL
COMPUTER CALCULATIONS
DESIGN
OPTIMIZATION
PLANNING
POWER SYSTEMS
POWER TRANSMISSION