000096084 001__ 96084
000096084 005__ 20210902121629.0
000096084 0247_ $$2doi$$a10.1016/j.renene.2019.10.144
000096084 0248_ $$2sideral$$a117180
000096084 037__ $$aART-2020-117180
000096084 041__ $$aeng
000096084 100__ $$0(orcid)0000-0002-1968-6300$$aNaval, Natalia
000096084 245__ $$aA virtual power plant optimal dispatch model with large and small-scale distributed renewable generation
000096084 260__ $$c2020
000096084 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096084 5203_ $$aVolatility and sharp increases in the price of electricity are serious economic problems in the primary sector because they affect modernization investments for irrigation systems in Spain. This paper presents a new virtual power plant (VPP) model that integrates all available full-scale distributed renewable generation technologies. The proposed VPP operates as a single plant in the wholesale electricity market and aims to maximize profit from its operation to meet demand. Two levels of renewable energy integration in the VPP were considered: first, a wind farm and six hydroelectric power plants that inject the generated electricity directly to the distribution network, and second, on-site photovoltaic plants associated with each of the electricity supply points in the system that are designed to prioritize self-consumption. The proposed technical-economic dispatch model was developed as a mixed-integer optimization problem that determines the hourly operation of distributed large-scale renewable generation plants and on-site generation plants. The model was applied to real data from an irrigation system comprising a number of water pumping stations in Aragon (Spain). The results of the VPP model demonstrate the importance of the technical and economic management of all production facilities to significantly reduce grid dependence and final electricity costs.
000096084 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000096084 590__ $$a8.001$$b2020
000096084 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b7 / 44 = 0.159$$c2020$$dQ1$$eT1
000096084 591__ $$aENERGY & FUELS$$b16 / 114 = 0.14$$c2020$$dQ1$$eT1
000096084 592__ $$a1.825$$b2020
000096084 593__ $$aRenewable Energy, Sustainability and the Environment$$c2020$$dQ1
000096084 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000096084 700__ $$aSánchez, Raúl
000096084 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, José M.$$uUniversidad de Zaragoza
000096084 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000096084 773__ $$g151 (2020), 57-69$$pRenew. energy$$tRenewable Energy$$x0960-1481
000096084 8564_ $$s2656179$$uhttps://zaguan.unizar.es/record/96084/files/texto_completo.pdf$$yPostprint
000096084 8564_ $$s326332$$uhttps://zaguan.unizar.es/record/96084/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000096084 909CO $$ooai:zaguan.unizar.es:96084$$particulos$$pdriver
000096084 951__ $$a2021-09-02-08:51:50
000096084 980__ $$aARTICLE