dc.creatorGil-González, Walter
dc.creatorMontoya O.D.
dc.creatorGarces A.
dc.date.accessioned2020-03-26T16:32:46Z
dc.date.available2020-03-26T16:32:46Z
dc.date.created2020-03-26T16:32:46Z
dc.date.issued2019
dc.identifierElectric Power Systems Research; Vol. 175
dc.identifier03787796
dc.identifierhttps://hdl.handle.net/20.500.12585/9017
dc.identifier10.1016/j.epsr.2019.105885
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio UTB
dc.identifier57191493648
dc.identifier56919564100
dc.identifier36449223500
dc.description.abstractThis paper proposes a direct power control for electrical energy storage systems (EESS) in ac microgrids. This strategy allows managing instantaneous active and reactive power without using a conventional inner-loop current regulator and without a phase-locked loop, increasing the reliability of the system while reducing investment costs. PI passivity-based control (PI-PBC) is selected to control the direct power model of EESS. This is because their models exhibit a port-Hamiltonian formulation in open-loop, and PI-PBC exploits this formulation to design a PI controller, which guarantees global asymptotically stability in closed-loop in the sense of Lyapunov. Simulations tested the proposed model in a microgrid and compared with conventional vector oriented controls in a dq reference frame and a direct power model controlled via feedback linearization (FL). PI-PBC has a better performance than other two controllers in all considered scenarios. Simulation results have conducted through MATLAB/SIMULINK software by using the SimPowerSystem toolbox. © 2019 Elsevier B.V.
dc.languageeng
dc.publisherElsevier Ltd
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85067625974&doi=10.1016%2fj.epsr.2019.105885&partnerID=40&md5=2d6229ffff15e246faa086da2f29e191
dc.titleDirect power control of electrical energy storage systems: A passivity-based PI approach


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