Search results for "Genetic algorithm"

showing 10 items of 834 documents

Optimal Operating Point Calculation for Medium Voltage Distribution Systems

2007

The paper deals with the calculation of the optimal working point of a distribution system, equipped with several distributed generators, able to operate also autonomously, i.e. disconnected from the main grid. When connected to the main grid, it appears in general convenient to assign the slack bus role to the bus that represents such a connection. The problem becomes more complex when maximum power transfer constraints through the connection must be taken into account. The adequate slack bus treatment is even more important when the optimal operating condition must refer to the condition subsequent to an intentional or unintentional disconnection from the main grid. The paper presents an …

Electric power distributionOperating pointEngineeringPower flow calculationElectric power distributionbusiness.industrySlack bus treatmentDistributed parameter networksLocal area networksLocal area networkControl engineeringGridMulti-objective optimizationChlorine compoundsMulti-objective optimizationSlack busGenetic algorithmDistributed generationepfl-smartgridsMaximum power transfer theoremDistributed generationDistribution of goodsbusinessComputer networks2007 IEEE Lausanne Power Tech
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Automatic optimization of multichip RFID tags

2012

The automatic optimization is proposed of the passive RF part of RFID, with special attention to multi-chip tags, and to the novel concept of RFID grids. Performance metrics follows a recent all-comprehensive approach. The proposed approach employs a Genetic Algorithm-based optimization, and an efficient electromagnetic problem parameterization and solution strategy. Resulting structures, while non-intuitive in shape, exhibit enhanced performance.

Electromagnetic fieldRFIDmethod of momentsComputer scienceGenetic Algorithmsmultichip tagtag antennaRFID multi-port antennaRFID; multichip tag; Genetic AlgorithmsmultichipGenetic algorithmElectronic engineeringgenetic algorithmoptimization
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Contract and Procurement Selection within a Sustainable Framework: Charting the Way Forward

2011

Engineering managementEngineeringProcurementbusiness.industrybusinessSelection (genetic algorithm)Modern Methods and Advances in Structural Engineering and Construction(ISEC-6)
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Online optimization of a multi-conversion-level DC home microgrid for system efficiency enhancement

2017

In this paper, an on-line management system for the optimal efficiency operation of a multi-bus DC home distribution system is proposed. The operation of the system is discussed with reference to a distribution system with two conversion stages and three voltage levels. In each of the conversion stages, three paralleled DC/DC converters are implemented. A Genetic Algorithm performs the on-line optimization of the DC network’s global efficiency, generating the optimal current sharing ratios of the concurrent power converters. The overall DC/DC conversion system including the optimization section is modelled using MATLAB/Simulink. Thanks to the implemented online algorithm, considering …

Engineering020209 energyGeography Planning and DevelopmentTransportation02 engineering and technologyPower conversion efficiencyRobustness (computer science)Control theoryMaster-slave control0202 electrical engineering electronic engineering information engineeringElectronic engineeringPeak shavingDC microgridOnline algorithmMATLABDC microgridscomputer.programming_languageCivil and Structural Engineeringbusiness.industryRenewable Energy Sustainability and the Environmentdc microgrids active droop control current sharing genetic algorithm master-slave control power conversion efficiency peak shavingEnergy conversion efficiencyConvertersSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaActive droop controlGenetic algorithmPeaking power plantMicrogridbusinessCurrent sharingcomputerVoltageSustainable Cities and Society
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Multi-objective optimization of nitinol stent design.

2017

Nitinol stents continuously experience loadings due to pulsatile pressure, thus a given stent design should possess an adequate fatigue strength and, at the same time, it should guarantee a sufficient vessel scaffolding. The present study proposes an optimization framework aiming at increasing the fatigue life reducing the maximum strut strain along the structure through a local modification of the strut profile.The adopted computational framework relies on nonlinear structural finite element analysis combined with a Multi Objective Genetic Algorithm, based on Kriging response surfaces. In particular, such an approach is used to investigate the design optimization of planar stent cell.The r…

EngineeringCompressive Strengthmedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologycomputer.software_genreMulti-objective optimization0302 clinical medicineStentComputer Aided DesignFatigueSafety factorStructural engineeringEquipment DesignFatigue limitFinite element methodsurgical procedures operativeComputer-Aided DesignStentsAlgorithms0206 medical engineeringFinite Element AnalysisBiophysicsBiomedical EngineeringFatigue; Multi-objective optimization; Nitinol; Stent; Structural finite element analysis; Tapered strut; Biophysics; Biomedical Engineering03 medical and health sciencesBlood vessel prosthesisElastic ModulusTensile StrengthGenetic algorithmmedicineAlloysPressureComputer Simulationcardiovascular diseasesbusiness.industryStentStructural finite element analysiNitinolModels Theoreticalequipment and supplies020601 biomedical engineeringTapered strutBlood Vessel ProsthesisMulti-objective optimizationEquipment Failure AnalysisBiophysicStress MechanicalbusinesscomputerMedical engineeringphysics
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Tuning Decision Support Toolsfor Environmentally Friendly Manufacturing Approach Selection

2017

Awareness about the environmental performance of manufacturing approaches has arisen. Comparative analyses of different manufacturing approaches as well as decision support methods should be developed in the field of metal shaping processes. The present paper aims at tuning a decision support tool for identifying when mass conserving approaches (forming based) are actually preferable over machining processes for manufacturing aluminum based components. A full LCA is developed for comparing the environmental performance of forming and machining approaches as the batch size and geometry complexity hang. The impact of the used metric on the comparative results is analyzed. Results reveal that …

EngineeringDecision support systemPrimary energybusiness.industryLCA050901 criminology05 social sciencesSustainable ManufacturingDecision Support ToolEnvironmentally friendlyManufacturing engineeringField (computer science)HangSustainable Manufacturing Manufacturing Approach Selection LCA Decision Support ToolMachiningSustainable manufacturing Manufacturing approach comparison LCA Decision support tool0501 psychology and cognitive sciencesMetric (unit)0509 other social sciencesManufacturing Approach SelectionbusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSelection (genetic algorithm)050104 developmental & child psychology
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Active load sharing technique for on-line efficiency optimization in DC microgrids

2017

Recently, DC power distribution is gaining more and more importance over its AC counterpart achieving increased efficiency, greater flexibility, reduced volumes and capital cost. In this paper, a 24-120-325V two-level DC distribution system for home appliances, each including three parallel DC-DC converters, is modeled. An active load sharing technique is proposed for the on-line optimization of the global efficiency of the DC distribution network. The algorithm aims at the instantaneous efficiency optimization of the whole DC network, based on the on-line load current sampling. A Look Up Table, is created to store the real efficiencies of the converters taking into account components toler…

EngineeringEnvironmental EngineeringDC distribution system020209 energyEnergy Engineering and Power Technology02 engineering and technologyActive loadIndustrial and Manufacturing EngineeringSampling (signal processing)Control theoryGenetic algorithm0202 electrical engineering electronic engineering information engineeringElectronic engineeringElectrical and Electronic EngineeringMATLABcomputer.programming_languageGlobal efficiency optimizationbusiness.industryConvertersPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDC distributionLookup tableOptimal load sharingbusinesscomputer
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Parameter identification of induction motor model using genetic algorithms

1998

The paper deals with methods of identification of the parameters of an induction motor model using genetic algorithms. It is supposed that the inverter supplying the motor is directly accessible for control of the conduction sequences of its power switches. This makes it possible to carry out a test consisting of a transient from standstill to steady-state operation at a given frequency and successive free motion to standstill. During this test, data are acquired referring to stator voltages, and currents and speed. Then, a genetic algorithm is employed with the aim of determining the mechanical and electrical parameters of the model, so as to reproduce the input-output behaviour of a real …

EngineeringEstimation theorybusiness.industryOpen-loop controllerSystem identificationControl engineeringPower (physics)Genetic algorithmInduction motorsSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryGenetic algorithmInverterTransient (oscillation)Electrical and Electronic EngineeringbusinessInstrumentationInduction motorIEE Proceedings - Control Theory and Applications
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Hierarchical control with virtual resistance optimization for efficiency enhancement and State-of-Charge balancing in DC microgrids

2015

This paper proposes a hierarchical control scheme which applies optimization method into DC microgrids in order to improve the system overall efficiency while considering the State-of-Charge (SoC) balancing at the same time. Primary droop controller, secondary voltage restoration controller and tertiary optimization tool formulate the complete hierarchical control system. Virtual resistances are taken as the decision variables for achieving the objective. simulation results are presented to verify the proposed approach.

EngineeringHierarchical controlLinear programmingbusiness.industryControl engineeringEfficiencyState-of-chargeSettore ING-IND/33 - Sistemi Elettrici Per L'Energiaefficiency genetic algorithm hierarchical control state-of-chargeState of chargeGenetic algorithmControl theoryGenetic algorithmHierarchical control systemSystem on a chipVoltage droopAlgorithm designbusiness2015 IEEE First International Conference on DC Microgrids (ICDCM)
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Genetic Algorithm Optimized Grid-based RF Fingerprint Positioning in Heterogeneous Small Cell Networks

2015

In this paper we propose a novel optimization algorithm for grid-based RF fingerprinting to improve user equipment (UE) positioning accuracy. For this purpose we have used Multi-objective Genetic Algorithm (MOGA) which enables autonomous calibration of gridcell layout (GCL) for better UE positioning as compared to that of the conventional fingerprinting approach. Performance evaluations were carried out using two different training data-sets consisting of Minimization of Drive Testing measurements obtained from a dynamic system simulation in a heterogeneous LTE small cell environment. The robustness of the proposed method has been tested analyzing positioning results from two different area…

EngineeringKullback-Leibler divergencebusiness.industryReal-time computingFingerprint recognitionGridmulti-objective genetic algorithmminimization of drive testsUser equipmentRobustness (computer science)Genetic algorithmElectronic engineeringgrid-based RF fingerprintingMinificationSmall cellRadio frequencybusiness
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