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dc.contributor.authorLarrahondo, Diego
dc.contributor.authorMoreno-Chuquen, Ricardo
dc.contributor.authorChamorro, Harold R.
dc.contributor.authorGonzalez-Longatt, Francisco
dc.description.abstractToday, the power system operation represents a challenge given the security and reliability requirements. Mathematical models are used to represent and solve operational and planning issues related with electric systems. Specifically, the AC optimal power flow (ACOPF) and the DC optimal power flow (DCOPF) are tools used for operational and planning purposes. The DCOPF versions correspond to lineal versions of the ACOPF. This is due to the fact that the power flow solution is often hard to obtain with the ACOPF considering all constraints. However, the simplifications use only active power without considering reactive power, voltage values and losses on transmission lines, which are crucial factors for power system operation, potentially leading to inaccurate results. This paper develops a detailed formulation for both DCOPF and ACOPF with multiple generation sources to provide a 24-h dispatching in order to compare the differences between the solutions with different scenarios under high penetration of wind power. The results indicate the DCOPF inaccuracies with respect to the complete solution provided by the ACOPFeng
dc.format.extent16 páginasspa
dc.rightsDerechos Reservados MDPIspa
dc.titleComparative performance of multi-period ACOPF and multi-period DCOPF under high integration of wind powereng
dc.typeArtículo de revistaspa
dcterms.audienceComunidad universitaria en generalspa
dc.subject.armarcEnergía eólicaspa
dc.subject.armarcRecursos energéticos renovablesspa
dc.subject.armarcModelos matemáticosspa
dc.subject.armarcWind powereng
dc.subject.armarcRenewable energy sourceseng
dc.subject.armarcMathematical modelseng
dc.relation.citesLarrahondo, D., Moreno, R., Chamorro, H. R., González Longatt, F. (2021). Comparative Performance of Multi-Period ACOPF and Multi-Period DCOPF under High Integration of Wind Power. Energies. Vol. 14 (15), pp. 1-15.
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dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)spa
dc.subject.proposalOptimal power floweng
dc.subject.proposalRenewable energyeng

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