Search results for "grid"

showing 10 items of 792 documents

Experimental results on the economic management of a smart microgrid

2020

The aim of this paper is to assess economic benefits deriving from the adoption of a smart microgrid. To this end, a case study consisting of 250 houses connected to the distribution network through a MV/LV transformer substation has been investigated and implemented in the experimental microgrid built at the Polytechnic University of Bari, Italy. The analysis has been performed by comparing three different energy providers: the utility grid, the utility grid with the inclusion of non-programmable renewables generators, and the inclusion of such residential loads into a smart microgrid. The obtained results demonstrated that with the adoption of a smart microgrid significant costs savings c…

0209 industrial biotechnologyComputer sciencemicrogrids020209 energyeconomic analysi02 engineering and technologylaw.invention020901 industrial engineering & automationgrid-connected operationlaw0202 electrical engineering electronic engineering information engineeringTransformerbusiness.industryEconomic analysis; economic dispatch; grid-connected operation; microgridseconomic dispatchEconomic dispatchEconomic analysisGridEconomic benefitsRenewable energyReliability engineeringSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiamicrogridSmart microgridEconomic managementMicrogridbusiness
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Interdisciplinary design methodology for systems of mechatronic systems focus on highly dynamic environmental applications

2017

This paper discusses a series of research challenges in the design of systems of mechatronic systems. A focus is given to environmental mechatronic applications within the chain “Renewable energy production — Smart grids — Electric vehicles”. For the considered mechatronic systems, the main design targets are formulated, the relations to state and parameter estimation, disturbance observation and rejection as well as control algorithms are highlighted. Finally, the study introduces an interdisciplinary design approach based on the intersectoral transfer of knowledge and collaborative experimental activities.

0209 industrial biotechnologyFocus (computing)Computer science020208 electrical & electronic engineering02 engineering and technologyMechatronics7. Clean energy020901 industrial engineering & automationSmart gridInterdisciplinary design13. Climate actionControl system0202 electrical engineering electronic engineering information engineeringSystems engineeringIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
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Engineering multi-agent systems using feedback loops and holarchies

2016

This paper presents a methodological approach for the engineering of Multi-Agent Systems using feedback loops as a first class concept in order to identify organizations. Feedback loops are a way for modeling complex systems that expose emergent behavior by means of a cause-effect loop between two levels called micro and macro levels of the system. The proposed approach principles consist in defining an abstract feedback loop pattern and providing activities and guidelines in order to identify and refine possible candidates for feedback loops during the analysis phase of the Aspecs methodology. This approach is illustrated by using an example drawn from the smart grid field.

0209 industrial biotechnologyLoop (graph theory)Computer scienceMulti-agent systemMulti-agent systemsMethodologyControl engineering02 engineering and technologyFeedback loopFeedback loopsField (computer science)020901 industrial engineering & automationSmart gridHolarchiesMulti-agent systemArtificial IntelligenceControl and Systems Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingFeedback loopElectrical and Electronic EngineeringHolarchie
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Modeling Energy Demand Aggregators for Residential Consumers

2013

International audience; Energy demand aggregators are new actors in the energy scenario: they gather a group of energy consumers and implement a demand- response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can pay the energy demand aggregator to reduce the load by turning off some of its consumers loads or postponing their activation. Currently this operation involves only greedy energy consumers like industrial plants. In this paper we want to study the potential of aggregating a large number of small energy consumers like home users as it may happen in smart grids. In particular we want to address the feasibility of such approach by conside…

0209 industrial biotechnologydemand-response paradigm020209 energyEnergy current02 engineering and technologycomputer.software_genre7. Clean energyNews aggregatorload regulation[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automationdemand side management; load regulation; queueing theory; smart power grids; demand-response paradigm; energy consumers; energy demand aggregator modeling; greedy energy consumers; home users; industrial plants; power load control; queuing theory; residential consumers; smart grids; Delays; Home appliances; Load modeling; Power demand; Sociology; Statistics; Switchesresidential consumerSociologySettore ING-INF/04 - Automatica0202 electrical engineering electronic engineering information engineeringindustrial plantenergy demand aggregator modelingDemand loadSimulationStatisticQueueing theoryDelayLoad modelingdemand side managementSettore ING-INF/03 - Telecomunicazionigreedy energy consumerpower load controlLoad balancing (electrical power)Poisson processEnvironmental economicsGridenergy consumerHome applianceSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSmart gridQueueing theorymart gridLoad regulationqueuing theoryPower demandEnergy demand aggregatorsmart power gridcomputerSwitcheshome user
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Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)

2016

Debris flows are among the most hazardous phenomena in nature, requiring the preparation of suscep- tibility models in order to cope with this severe threat. The aim of this research was to verify whether a grid cell-based susceptibility model was capable of predicting the debris- flow initiation sites in the Giampilieri catchment (10 km2), which was hit by a storm on the 1st October 2009, resulting in more than one thousand landslides. This kind of event is to be considered as recurrent in the area as attested by historical data. Therefore, predictive models have been prepared by using forward stepwise binary logistic regression (BLR), a landslide inventory and a set of geo- environmental …

021110 strategic defence & security studiesGlobal and Planetary Change010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E Geomorfologia0211 other engineering and technologiesSoil ScienceGeologyStormLandslide02 engineering and technologyLogistic regression01 natural sciencesPollutionDebrisDebris flowRobustness (computer science)Grid cell size Debris-flow susceptibility Forward stepwise selection Giampilieri catchment Messina (Sicily Italy)StatisticsEnvironmental ChemistrySet (psychology)0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyEvent (probability theory)Environmental Earth Sciences
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Impairment of Everyday Spatial Navigation Abilities in Mild Cognitive Impairment Is Weakly Associated with Reduced Grey Matter Volume in the Medial P…

2020

Alzheimer’s Disease Neuroimaging Initiative.

0301 basic medicineMalephysiopathology [Cognitive Dysfunction]positron emission tomographypathology [Cognitive Dysfunction]diagnostic imaging [Cognitive Dysfunction]grid cellsAudiologySpatial memoryVolumetry0302 clinical medicinepathology [Gray Matter]Activities of Daily Livingmagnetic resonance imagingEntorhinal CortexGray MatterAged 80 and overGeneral NeuroscienceGgrid cellsCognitionGeneral MedicineHuman brainOrgan SizeMiddle AgedMagnetic Resonance ImagingPsychiatry and Mental healthClinical Psychologymedicine.anatomical_structureFemalediagnostic imaging [Entorhinal Cortex]Spatial NavigationPositron emission tomographymedicine.medical_specialtyphysiology [Spatial Navigation]spatial navigationGrey matter03 medical and health sciencesAtrophymild cognitive impairmentNeuroimagingFluorodeoxyglucose F18medicineHumansCognitive Dysfunctionddc:610Entorhinal cortexAgedvolumetrybusiness.industrydiagnostic imaging [Gray Matter]Mild cognitive impairmentpathology [Entorhinal Cortex]Entorhinal cortexmedicine.disease030104 developmental biologyPositron-Emission TomographyBrodmann area 34Geriatrics and Gerontology18F-fluorodeoxyglucoseAtrophyRadiopharmaceuticalsbusiness030217 neurology & neurosurgeryJournal of Alzheimer's disease : JAD
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A heuristic, iterative algorithm for change-point detection in abrupt change models

2017

Change-point detection in abrupt change models is a very challenging research topic in many fields of both methodological and applied Statistics. Due to strong irregularities, discontinuity and non-smootheness, likelihood based procedures are awkward; for instance, usual optimization methods do not work, and grid search algorithms represent the most used approach for estimation. In this paper a heuristic, iterative algorithm for approximate maximum likelihood estimation is introduced for change-point detection in piecewise constant regression models. The algorithm is based on iterative fitting of simple linear models, and appears to extend easily to more general frameworks, such as models i…

0301 basic medicineStatistics and ProbabilityMathematical optimizationIterative methodHeuristic (computer science)Linear model01 natural sciencesPiecewise constant model Approximate maximum likelihood Model linearization Grid search limitations010104 statistics & probability03 medical and health sciencesComputational MathematicsDiscontinuity (linguistics)030104 developmental biologyHyperparameter optimizationCovariatePiecewise0101 mathematicsStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaChange detectionMathematics
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Decentralised trust-management inspired by ant pheromones

2017

Computational trust is increasingly utilised to select interaction partners in open technical systems consisting of heterogeneous, autonomous agents. Current approaches rely on centralised elements for managing trust ratings (i.e. control and provide access to aggregated ratings). Consider a grid computing application as illustrating example: agents share their computing resources and cooperate in terms of processing computing jobs. These agents are free to join and leave, and they decide on their own with whom to interact. The impact of malicious or uncooperative agents can be countered by only cooperating with agents that have shown to be benevolent: trust relationships are established. T…

0301 basic medicinebusiness.industryComputer scienceComputer Networks and CommunicationsMulti-agent systemAutonomous agent02 engineering and technologyOrganic computingGridcomputer.software_genreComputer securityManagement Information SystemsPublic-key cryptography03 medical and health sciences030104 developmental biologyGrid computingArtificial Intelligence0202 electrical engineering electronic engineering information engineeringTrust management (information system)020201 artificial intelligence & image processingComputational trustbusinesscomputerSoftwareInternational Journal of Mobile Network Design and Innovation
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An attraction-based cellular automaton model for generating spatiotemporal population maps in urban areas

2015

We develop a cellular automaton (CA) model to produce spatiotemporal population maps that estimate population distributions in an urban area during a random working day. The resulting population maps are at 50 m and 5 minutes spatiotemporal resolution, showing clearly how the distribution of population varies throughout a 24-hour period. The maps indicate that some areas of the city, which are sparsely populated during the night, can be densely populated during the day. The developed CA model assumes that the population transition trends follow dynamics and propagation patterns similar to a contagious disease. Thus, our model designed to change the states of each grid cell (stable or dynami…

050210 logistics & transportationeducation.field_of_studygeography.geographical_feature_category05 social sciencesGeography Planning and DevelopmentPopulation0211 other engineering and technologies02 engineering and technologyGrid cellUrban areaAttractionCellular automatonGeographyPopulation Distributions0502 economics and businessSpatiotemporal resolutioneducationCartography021101 geological & geomatics engineeringGeneral Environmental ScienceDemography
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3-Phase grid-connected building integrated photovoltaic system with reactive power control capability

2020

Abstract Recently, a tendency in the growing of grid-connected building integrated photovoltaic (BIPV) systems has been noticed in most countries. Hence, high penetration of PV power into the system network can be observed in many points in the network. This may cause severe problems on the distribution network due to the intermittent nature of PV systems. As a feasible solution, the reactive power capability of voltage source inverter in PV systems can be employed rather than approaching expensive grid infrastructures in the distribution network. The purpose of this study is to implement a 3-phase grid-connected (BIPV) system with reactive power control to regulate the system voltage and i…

060102 archaeologyRenewable Energy Sustainability and the EnvironmentComputer science020209 energyPhotovoltaic system06 humanities and the arts02 engineering and technologyPower factorAC powerGridAutomotive engineeringSystem modelControl system0202 electrical engineering electronic engineering information engineeringInverter0601 history and archaeologyBuilding-integrated photovoltaicsRenewable Energy
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