Stochastic model for active distribution networks planning: An analysis of the combination of active network management schemes

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dc.contributor.authorLazo, Joaquin
dc.contributor.authorWatts, David
dc.date.accessioned2025-01-20T17:08:51Z
dc.date.available2025-01-20T17:08:51Z
dc.date.issued2024
dc.description.abstractThe widespread adoption of distributed generation (DG) is changing the operation of distribution networks. To increase the control of power flows and avoid the detriments of DG intermittency, active distribution networks (ADN) emerge as a feasible solution. In this paper, we propose a convex model for ADN expansion planning. Four active network management (ANM) schemes are considered: DG active power curtailment, DG reactive power control, on-load tap changer (OLTC) tap adjustment, and shunt compensation device control. The problem is formulated as a mixed integer second-order cone programming problem (MISOCP) using the distflow equations and second-order cone relaxations (SOCR). By scenario analysis, we address the uncertainty associated with power demand, renewable generation, and electricity prices. The proposed model is used to study the benefits of different combinations of ANM schemes to a modified IEEE 33-bus system and compare them with the individual benefits of each scheme. The results indicate that ANM schemes can reduce total network costs, reduce losses, delay network reinforcement, and improve the voltage profile. In addition, some combinations of schemes develop synergies in which the combined economic benefits are greater than the sum of the individual benefits.
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.rser.2023.114156
dc.identifier.eissn1879-0690
dc.identifier.issn1364-0321
dc.identifier.urihttps://doi.org/10.1016/j.rser.2023.114156
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/90990
dc.identifier.wosidWOS:001160052300001
dc.language.isoen
dc.revistaRenewable & sustainable energy reviews
dc.rightsacceso restringido
dc.subjectActive distribution network
dc.subjectActive distribution System
dc.subjectActive network management
dc.subjectsecond-order cone Programming(SOCP)
dc.subjectRenewable uncertainities
dc.subject.ods07 Affordable and Clean Energy
dc.subject.odspa07 Energía asequible y no contaminante
dc.titleStochastic model for active distribution networks planning: An analysis of the combination of active network management schemes
dc.typeartículo
dc.volumen191
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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