000109018 001__ 109018 000109018 005__ 20230519145342.0 000109018 0247_ $$2doi$$a10.1016/j.rser.2021.111393 000109018 0248_ $$2sideral$$a125301 000109018 037__ $$aART-2021-125301 000109018 041__ $$aeng 000109018 100__ $$0(orcid)0000-0002-1968-6300$$aNaval, Natalia$$uUniversidad de Zaragoza 000109018 245__ $$aVirtual power plant models and electricity markets - A review 000109018 260__ $$c2021 000109018 5060_ $$aAccess copy available to the general public$$fUnrestricted 000109018 5203_ $$aIn recent years, the integration of distributed generation in power systems has been accompanied by new facility operations strategies. Thus, it has become increasingly important to enhance management capabilities regarding the aggregation of distributed electricity production and demand through different types of virtual power plants (VPPs). It is also important to exploit their ability to participate in electricity markets to maximize operating profits. This review article focuses on the classification and in-depth analysis of recent studies that propose VPP models including interactions with different types of energy markets. This classification is formulated according to the most important aspects to be considered for these VPPs. These include the formulation of the model, techniques for solving mathematical problems, participation in different types of markets, and the applicability of the proposed models to real case studies. From the analysis of the studies, it is concluded that the most recent models tend to be more complete and realistic in addition to featuring greater diversity in the types of electricity markets in which VPPs participate. The aim of this review is to identify the most profitable VPP scheme to be applied in each regulatory environment. It also highlights the challenges remaining in this field of study. 000109018 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000109018 590__ $$a16.799$$b2021 000109018 592__ $$a3.678$$b2021 000109018 594__ $$a28.5$$b2021 000109018 591__ $$aENERGY & FUELS$$b8 / 119 = 0.067$$c2021$$dQ1$$eT1 000109018 593__ $$aRenewable Energy, Sustainability and the Environment$$c2021$$dQ1 000109018 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b1 / 47 = 0.021$$c2021$$dQ1$$eT1 000109018 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000109018 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, Jose M.$$uUniversidad de Zaragoza 000109018 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica 000109018 773__ $$g149 (2021), 111393 [13 pp]$$pRenew. sustain. energy rev.$$tRENEWABLE & SUSTAINABLE ENERGY REVIEWS$$x1364-0321 000109018 8564_ $$s3009717$$uhttps://zaguan.unizar.es/record/109018/files/texto_completo.pdf$$yVersión publicada 000109018 8564_ $$s2624723$$uhttps://zaguan.unizar.es/record/109018/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000109018 909CO $$ooai:zaguan.unizar.es:109018$$particulos$$pdriver 000109018 951__ $$a2023-05-18-13:15:31 000109018 980__ $$aARTICLE