dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-11-11T18:50:03Z
dc.date.accessioned2022-12-19T23:56:00Z
dc.date.available2021-11-11T18:50:03Z
dc.date.available2022-12-19T23:56:00Z
dc.date.created2021-11-11T18:50:03Z
dc.date.issued2022-02
dc.identifier0142-0615
dc.identifierhttp://hdl.handle.net/11449/215081
dc.identifier10.1016/j.ijepes.2021.107541
dc.identifier1862771266332301
dc.identifier2040962189153040
dc.identifier3886842168147059
dc.identifier0000-0003-0290-5308
dc.identifier0000-0001-9178-0601
dc.identifier0000-0003-0300-1183
dc.identifier0000-0002-9395-3964
dc.identifier0000-0001-6495-440X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5395242
dc.description.abstractThis work proposes a novel mixed-integer linear programming model to address the medium-term reinforcement planning for active distribution networks, taking into account multiple investment options and CO2 emission limits. The investment plan jointly includes (i) the replacement of overloaded conductors, (ii) the installation of voltage control equipment such as voltage regulators and capacitor banks, and (iii) the installation of distributed energy resources, such as dispatchable and non-dispatchable renewable generators, and energy storage units. Uncertainties associated with the demand for electricity, energy prices at the substation, and non-dispatchable distributed generation are addressed through scenario-based stochastic optimization. In contrast to conventional planning methods, the proposed approach models the load as voltage-dependent in order to achieve substantial reductions in energy consumption. As another outstanding feature, network reconfiguration, which is an operational planning alternative that is normally addressed independently, is incorporated within the planning options. The objective function of the model is aimed at establishing an investment strategy with minimal total costs, but that satisfies the operational restrictions of the network and CO2 emissions cap. A 69-node system was used to test the proposed model and, the results show that modeling the load as voltage-dependent and integrating network reconfiguration into the medium-term planning actions helps to achieve an effective network that, in addition to being environmentally friendly, has low total planning costs. Finally, the scalability of the proposed method was evaluated using a real 2313-node system.
dc.languageeng
dc.publisherElsevier
dc.relationInternational Journal of Electrical Power & Energy Systems
dc.rightsAcesso aberto
dc.subjectActive distribution networks
dc.subjectMixed-integer linear programming
dc.subjectNetwork reconfiguration
dc.subjectRenewable distributed generation
dc.subjectVoltage-dependent loads
dc.titleMedium-Term Planning of Active Distribution Systems Considering Voltage-Dependent Loads, Network Reconfiguration, and CO2 Emissions
dc.typeArtículos de revistas


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