000063140 001__ 63140
000063140 005__ 20190709135458.0
000063140 0247_ $$2doi$$a10.1016/j.renene.2016.10.064
000063140 0248_ $$2sideral$$a97421
000063140 037__ $$aART-2017-97421
000063140 041__ $$aeng
000063140 100__ $$aAzcárate, C.
000063140 245__ $$aTactical and operational management of wind energy systems with storage using a probabilistic forecast of the energy resource
000063140 260__ $$c2017
000063140 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063140 5203_ $$aThe storage of energy facilitates the management of renewable energy systems by reducing the mismatch between the supplied energy and the forecasted production due to forecasting errors. The storage increases the reliability of the renewable energy system and enables participation in the electricity market by committing to the sale of electricity for the following day. Nevertheless, the inclusion of the energy storage capacity requires the development of new management policies. In this paper, we propose a management strategy for a renewable energy system with storage capacity that integrates tactical and operational decisions in a single mathematical model that makes use of an updated probabilistic wind speed forecast. Management policies are obtained by solving a sequence of rolling-horizon stochastic optimization problems whose formulation is inspired by the Stochastic Approximation Average technique. The management policies are illustrated by their application to wind-farms using hydrogen as the energy storage medium.
000063140 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/MTM2012-36025
000063140 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000063140 590__ $$a4.9$$b2017
000063140 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b7 / 33 = 0.212$$c2017$$dQ1$$eT1
000063140 591__ $$aENERGY & FUELS$$b20 / 97 = 0.206$$c2017$$dQ1$$eT1
000063140 592__ $$a1.847$$b2017
000063140 593__ $$aRenewable Energy, Sustainability and the Environment$$c2017$$dQ1
000063140 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000063140 700__ $$aMallor, F.
000063140 700__ $$0(orcid)0000-0003-2988-7728$$aMateo, P.$$uUniversidad de Zaragoza
000063140 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000063140 773__ $$g102 (2017), 445-456$$pRenew. energy$$tRENEWABLE ENERGY$$x0960-1481
000063140 8564_ $$s2558138$$uhttps://zaguan.unizar.es/record/63140/files/texto_completo.pdf$$yPostprint
000063140 8564_ $$s45978$$uhttps://zaguan.unizar.es/record/63140/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000063140 909CO $$ooai:zaguan.unizar.es:63140$$particulos$$pdriver
000063140 951__ $$a2019-07-09-11:44:31
000063140 980__ $$aARTICLE