Solving long-term hydro-thermal scheduling problems

Show simple item record De Matos, V en Philpott, Andrew en Finardi, EC en Guan, Ziming en
dc.coverage.spatial Stockholm, Sweden en 2011-11-21T19:18:31Z en 2011 en
dc.identifier.citation 17th Power Systems Computation Conference (PSCC'11), Stockholm, Sweden, 22 Aug 2011 - 26 Aug 2011. 8 pages. 2011 en
dc.identifier.uri en
dc.description.abstract The Long-Term Hydrothermal Scheduling (LTHS) problem plays an important role in power systems that rely heavily on hydroelectricity. The purpose of the LTHS problem is to define an optimal operation policy that uses stored water as inexpensively as possible. A popular solution approach to this problem is called Stochastic Dual Dynamic Programming (SDDP). In this paper we describe LTHS and SDDP, as well as discussing strategies to improve the performance of the algorithm. These strategies are tested with some numerical experiments on the New Zealand hydrothermal system. We show empirically that the computational burden can be reduced significantly by adopting some of these strategies. en
dc.relation.ispartof 17th Power Systems Computation Conference (PSCC'11) en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Solving long-term hydro-thermal scheduling problems en
dc.type Conference Item en
dc.rights.holder Copyright: the author en en
pubs.finish-date 2011-08-26 en
pubs.start-date 2011-08-22 en
dc.rights.accessrights en
pubs.subtype Conference Paper en
pubs.elements-id 197653 en Engineering en Engineering Science en
pubs.record-created-at-source-date 2010-12-16 en

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