0000000000324227

AUTHOR

Stefano Bracco

showing 2 related works from this author

Restless legs syndrome: Epidemiological and clinicogenetic study in a South Tyrolean population isolate.

2006

Genetic contributions to restless legs syndrome (RLS) have been consistently recognized from population and family studies. To determine the clinical and genetic features of RLS in a population isolate and explore linkage to three previously described susceptibility loci on chromosomes 12q, 14q, and 9p, respectively, an isolated population in the South Tyrolean Alps was identified and 530 adults participated in the study. Using a two-step strategy, 47 patients with idiopathic RLS were ascertained. The prevalence in the population was 8.9%. Twenty-eight patients (59.6%) had at least one affected first-degree relative and were classified as hereditary cases. In a single extended pedigree, lin…

AdultGenetic MarkersMalemedicine.medical_specialtyPopulationFamily studiesLocus heterogeneityGermanyRestless Legs SyndromeSurveys and Questionnairesmental disordersEpidemiologymedicineHumansRestless legs syndromeeducationLinkage (software)Geneticseducation.field_of_studyPolymorphism Geneticbusiness.industryChromosome MappingReproducibility of Resultsmedicine.diseaseSurgeryPedigreeNeurologyItalyHomogeneousSusceptibility locusFemaleNeurology (clinical)business
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Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University

2016

In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is ba…

distributed optimization micro-grids optimal power flowbusiness.industryBusbarHeuristic (computer science)Computer science020209 energyComputer Science Applications1707 Computer Vision and Pattern Recognitionmicro-grids02 engineering and technologyMicro-gridGridDistributed optimizationEvery 5 minutesSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaPower flowComputer Networks and CommunicationControl theoryDistributed generationUrban Studie0202 electrical engineering electronic engineering information engineeringMicrogridbusinessOptimal power flowSimulationVoltage2016 IEEE International Smart Cities Conference (ISC2)
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