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Computational study of NOXCB: an optimization code for the nonlinear network flow problem with linear side constraints

Sun, 10/28/2007 - 18:11 — admin
Publication TypeConference Paper
Year of Publication1999
AuthorsHeredia, F. J.
Conference Name19th IFIP TC7 Conference on System Modelling and Optimization
Conference Date12-16/07/99
Conference LocationCambridge, U.K.
Type of WorkContributed oral presentation
Key Wordsnonlinear network flows; linear side constraints; research
AbstractThe NOXCB package is an optimization code for the Nonlinear Network flow problem with Linear side Constraints (NNLC). It is based on an active set method which exploits the network structure through primal partitionning techniques. This paper presents the results arising from the solution of a set of about 100 (NNLC) problems, ranging from medium to large scale.
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Optimum Short-Term Hydrothermal Schedulling with Spinning Reserve through Network Flows

Mon, 09/17/2007 - 18:34 — admin
Publication TypeJournal Article
Year of Publication1995
AuthorsHeredia, F. J.; Nabona, N.
Journal TitleIEEE Trans. on Power Systems
Volume10
Issue3
Pages10
Start Page1642
PublisherThe Institue of Electrical and Electronic Engineering
ISSN Number0885-8950
Key Wordsnonlinear network flows; side constraints; power systems; short-term hydrothermal OPF; spinning reserve; research; paper
AbstractOptimizing the thermal production of electricity in the short term in an integrated power system when a thermal unit commitment has been decided means coordinating hydro and thermal generation in order to obtain the minimum thermal generation costs over the time period under study. Fundamental constraints to be satisfied are the covering of each hourly load and satisfaction of spinning reserve requirements and transmission capacity limits. A nonlinear network flow model with linear side constraints with no decomposition into hydro and thermal subproblems was used to solve the hydrothermal scheduling. Hydrogeneration is linearized with respect to network variables and a novel thermal generation and transmission network is introduced. Computational results are reported
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DOIhttp://dx.doi.org/10.1109/59.466476
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