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The SDP technique is applied to the long\u2010term operation planning of electrical power systems. Using state space discretization, the Convex Hull algorithm is used for constructing a series of hyperplanes that composes a convex set.  These planes represent a piecewise linear approximation for the expected cost\u2010to\u2010go functions. The mean operational costs for using the proposed methodology were compared with those from the deterministic dual dynamic problem in a case study, considering a single inflow scenario. This sensitivity analysis shows the convergence of both methods and is used to determine the minimum discretization level. Additionally, the applicability of the proposed methodology for two hydroplants in a cascade is demonstrated. With proper adaptations, this work can be extended to a complete hydrothermal system.<\/jats:p>","DOI":"10.1155\/2010\/390940","type":"journal-article","created":{"date-parts":[[2010,5,17]],"date-time":"2010-05-17T14:32:49Z","timestamp":1274106769000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Stochastic Dynamic Programming Applied to Hydrothermal Power Systems Operation Planning Based on the Convex Hull Algorithm"],"prefix":"10.1155","volume":"2010","author":[{"given":"Bruno H.","family":"Dias","sequence":"first","affiliation":[]},{"given":"Andr\u00e9 L. 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