A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro

dc.contributor.author Bruno Miguel Vieira en
dc.contributor.author Ana Viana en
dc.contributor.author Manuel Matos en
dc.contributor.author João Pedro Pedroso en
dc.date.accessioned 2017-12-14T14:03:23Z
dc.date.available 2017-12-14T14:03:23Z
dc.date.issued 2016 en
dc.description.abstract The integration of wind power in electricity generation brings new challenges to the unit commitment problem, as a result of the random nature of the wind speed. The scheduling of thermal generation units at the day-ahead stage is usually based on wind power forecasts. Due to technical limitations of thermal units, deviations from those forecasts during intra-day operations may lead to unwanted consequences, such as load shedding and increased operating costs. Wind power forecasting uncertainty has been handled in practice by means of conservative stochastic scenario-based optimization models, or through additional operating reserve settings. However, generation companies may have different attitudes towards the risks associated to wind power variability. In this paper, operating costs and load shedding are modeled by non-linear utility functions aggregated into a single additive utility function of a multi-objective model. Computational experiments have been done to validate the approach: firstly we test our model for the wind-thermal unit commitment problem and, in a second stage, pumped storage hydro units are added, leading to a model with wind-hydro-thermal coordination. Results have shown that the proposed methodology is able to correctly reflect different risk profiles of decision makers for both models. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/4083
dc.identifier.uri http://dx.doi.org/10.1016/j.epsr.2015.10.024 en
dc.language eng en
dc.relation 214 en
dc.relation 5747 en
dc.relation 4747 en
dc.relation 3708 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro en
dc.type article en
dc.type Publication en
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