dc.creatorVergara
dc.creatorPedro P.; Lopez
dc.creatorJuan C.; Lyra
dc.creatorChristiano; da Silva
dc.creatorLuiz C. P.
dc.date2016
dc.date2017-11-13T13:44:46Z
dc.date2017-11-13T13:44:46Z
dc.date.accessioned2018-03-29T05:59:28Z
dc.date.available2018-03-29T05:59:28Z
dc.identifier978-1-5090-3792-6
dc.identifierProceedings Of 2016 17th International Conference On Harmonics And Quality Of Power(ichqp). Ieee, p. 204 - 208, 2016.
dc.identifier2164-0610
dc.identifierWOS:000391424200036
dc.identifierhttp://ieeexplore.ieee.org/document/7783443/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/328862
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1365887
dc.descriptionIn this paper, the optimal schedule of dispatchable distributed generation (DG) units connected to radial electrical distribution systems (EDS) is solved using an extended dynamic programming approach. The objective of the optimal DG scheduling problem is to determine the hour-by-hour active generation output of each dispatchable DG unit, in order to minimize the total active power losses of the EDS and the generation costs. The proposed extended dynamic programming (EDP) is an advantageous approach because convexity is not required to obtain a global optimal solution, and the "curse of dimensionality" is not a concern since the computational complexity of the algorithm grows linearly with the size of the network. Besides, the state variables have only two dimensions, one to represent the active power flows and the other to represent the nodal voltages. A 56-nodes MV distribution system with two dispatchable DG units is used to evaluate the performance of the proposed EDP approach, considering a deterministic and a stochastic case. A set of Monte Carlo simulations is used to analyze the influence of uncertainties. Results confirm that the proposed methodology is a suitable approach to unveil the best operation schedule for dispatchable DG units.
dc.description204
dc.description208
dc.description17th International Conference on Harmonics and Quality of Power (ICHQP)
dc.descriptionOCT 16-19, 2016
dc.descriptionBelo Horizonte, BRAZIL
dc.description
dc.languageEnglish
dc.publisherIEEE
dc.publisherNew York
dc.relationProceedings of 2016 17th International Conference on Harmonics and Quality of Power(ICHQP)
dc.rightsfechado
dc.sourceWOS
dc.subjectDispatchable Distributed Generation
dc.subjectExtended Dynamic Programming
dc.subjectElectrical Distribution Systems
dc.subjectMonte Carlo Simulations
dc.titleOptimal Schedule Of Dispatchable Dg In Electrical Distribution Systems With Extended Dynamic Programming
dc.typeActas de congresos


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