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dc.contributor.authorMelgar-Dominguez, Ozy D. [UNESP]
dc.contributor.authorPourakbari-Kasmaei, Mahdi
dc.contributor.authorMantovani, José Roberto Sanches [UNESP]
dc.date.accessioned2019-10-06T16:26:00Z
dc.date.available2019-10-06T16:26:00Z
dc.date.issued2019-01-01
dc.identifierhttp://dx.doi.org/10.1007/978-3-030-04296-7_9
dc.identifier.citationRobust Optimal Planning and Operation of Electrical Energy Systems, p. 145-175.
dc.identifier.urihttp://hdl.handle.net/11449/188983
dc.description.abstractThe short-term electrical distribution network (EDN) planning is a strategy that aims to enhance the efficiency of the system and to provide high-quality service to end users. This strategy uses some classical actions and devices to effectively control the system power factor, reactive power, and the voltage magnitude of the network. Over the past decades, trends in this decision-making process have changed due to the integration of modern technologies. Therefore, this chapter investigates a short-term EDN planning problem considering classical investment alternatives with sizing and placement of energy storage systems and distributed generation sources based on renewable energy. Since this optimization problem is inherently a non-convex mixed-integer nonlinear programming model, there is no guarantee in finding the global solution. Therefore, proper linearization techniques are used to find a mixed-integer linear programming (MILP) model. On the other hand, to address the uncertainty in electricity demand and renewable output power, this deterministic MILP model is transformed into a two-stage robust optimization model. To handle this complex trilevel optimization problem, the column-and-constraint generation algorithm (C&CG) is employed in a hierarchical environment. To assess the performance of the proposed approach, a 42-node distribution network is studied under different operational conditions. Numerical results of different case studies show the robustness and applicability of the proposed approach.en
dc.format.extent145-175
dc.language.isoeng
dc.relation.ispartofRobust Optimal Planning and Operation of Electrical Energy Systems
dc.sourceScopus
dc.subjectEnergy storage systems
dc.subjectRenewable energy-based distributed generation sources
dc.subjectShort-term planning problem
dc.subjectTwo-stage robust optimization
dc.titleRobust short-term electrical distribution network planning considering simultaneous allocation of renewable energy sources and energy storage systemsen
dc.typeCapítulo de livro
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionAalto University
dc.description.affiliationDepartment of Electrical Engineering São Paulo State University-(UNESP), Ilha Solteira
dc.description.affiliationDepartment of Electrical Engineering and Automation Aalto University
dc.description.affiliationUnespDepartment of Electrical Engineering São Paulo State University-(UNESP), Ilha Solteira
dc.identifier.doi10.1007/978-3-030-04296-7_9
dc.rights.accessRightsAcesso restrito
dc.identifier.scopus2-s2.0-85064373902
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