Search results for "optimization"

showing 10 items of 2824 documents

SURATRAM - Intelligent Transport System for freight management in urban areas

2022

The project developed in the framework of this thesis is part of a more global and ambitious research program that aims at proposing a new type of goods management system in urban centers. In order to do so, the project aims to approach the management of goods from a systemic point of view, by integrating the management into the field of Intelligent Goods Transport Systems (ITS). This systemic vision of the management of goods in urban areas requires the use of electric and autonomous vehicles to ensure the tasks of delivery and collection of goods. In addition, these vehicles will be able to use the existing public transport network of the cities to move from an urban distribution center (…

Electric VehicleAutonomous vehicleFleet SizingOptimisation de tournéeVéhicule AutonomeDimensionnement de batterieDimensionnement de flotte[SPI.OTHER] Engineering Sciences [physics]/OtherBatteryBattery SizingVéhicule électriqueTour optimizationBatterie
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Enhanced flexible algorithm for the optimization of slot filling factors in electrical machines †

2020

The continuous development in the field of industrial automation and electric mobility has led to the need for more efficient electrical machines with a high power density. The improvement of electrical machines’ slot filling factors is one of the measures to satisfy these requirements. In recent years, this topic has aroused greater interest in the industrial sector, since the evolution of the winding technological manufacturing processes allows an economically sustainable realization of ordered winding arrangements, rather than random ones. Moreover, the manufacture of electrical machines’ windings must be preceded by an accurate design phase in which it is possible to evaluate the maximu…

Electric motorControl and OptimizationComputer scienceEnergy Engineering and Power TechnologyFilling factor optimizationMagnetic wiresSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilcsh:TechnologyField (computer science)WindingsHardware_GENERALElectrical motorElectronic engineeringElectrical and Electronic EngineeringEngineering (miscellaneous)Power densityFlexibility (engineering)Electrical motorsIdeal (set theory)Optimization algorithmelectrical motors; sot filling factor; optimization algorithm; windings; magnetic wire; filling factor optimizationElectrical motors; Filling factor optimization; Magnetic wire; Optimization algorithm; Sot filling factor; WindingsRenewable Energy Sustainability and the EnvironmentFilling factorbusiness.industrylcsh:TAutomationOptimization algorithmMagnetic wireElectromagnetic coilelectrical_electronic_engineeringSot filling factorbusinessRealization (systems)AlgorithmEnergy (miscellaneous)
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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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Passive congregation based particle swam optimization (pso) with self-organizing hierarchical approach for non-convex economic dispatch

2017

This paper proposes a passive congregation based PSO with self-organizing hierarchical algorithm approach for solving the economic dispatch problem of power system, where some of the units have prohibited operating zones. This Algorithm is known to perform better than conventional gradient based optimization methods for non-convex optimization problems. Conventional PSO algorithm is a population based heuristic search, employing problem of premature convergence. In this work, an innovative approach based on the concept of passive congregation based PSO with self-organizing hierarchical approach is employed to overcome the problem of premature convergence in classical PSO method.

Electric power systemMathematical optimizationOptimization problemConvergence (routing)MathematicsofComputing_NUMERICALANALYSISRegular polygonEconomic dispatchParticle swarm optimizationPremature convergenceHierarchical algorithm2017 2nd International Conference on Power and Renewable Energy (ICPRE)
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Econo- Environmental Dispatch Solutions for Power Systems Integrated with Renewable Energy Resources

2020

Due to the global initiatives for sustainable energy supply, the electric grids are increasingly integrated with environment-friendly and renewable energy resources. Hence, the power dispatch strategies are to be timely modified by incorporating the environmental aspects of generation along with the economic considerations. In this paper, we propose such an Econo- Environmental dispatch (EED) system for a power grids, which are integrated with renewable energy sources. The EED problem is formulated with two objective functions which aims at minimizing the unit cost of generation as well as minimizing the emissions caused during the power production. For attaining these objectives, cost and …

Electric power systemMathematical optimizationWind powerLinear programmingbusiness.industryComputer sciencePhotovoltaic systemProduction (economics)businessUnit costRenewable energyPower (physics)2020 International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE)
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Training Artificial Neural Networks With Improved Particle Swarm Optimization

2020

Particle Swarm Optimization (PSO) is popular for solving complex optimization problems. However, it easily traps in local minima. Authors modify the traditional PSO algorithm by adding an extra step called PSO-Shock. The PSO-Shock algorithm initiates similar to the PSO algorithm. Once it traps in a local minimum, it is detected by counting stall generations. When stall generation accumulates to a prespecified value, particles are perturbed. This helps particles to find better solutions than the current local minimum they found. The behavior of PSO-Shock algorithm is studied using a known: Schwefel's function. With promising performance on the Schwefel's function, PSO-Shock algorithm is util…

Electricity demand forecastingMathematical optimizationArtificial neural networkComputer science020209 energyComputer Science::Neural and Evolutionary ComputationMathematicsofComputing_NUMERICALANALYSIS0202 electrical engineering electronic engineering information engineeringTraining (meteorology)Particle swarm optimization020201 artificial intelligence & image processing02 engineering and technology
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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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Corrective meshless particle formulations for time domain Maxwell's equations

2007

AbstractIn this paper a meshless approximation of electromagnetic (EM) field functions and relative differential operators based on particle formulation is proposed. The idea is to obtain numerical solutions for EM problems by passing up the mesh generation usually required to compute derivatives, and by employing a set of particles arbitrarily placed in the problem domain. The meshless Smoothed Particle Hydrodynamics method has been reformulated for solving the time domain Maxwell's curl equations. The consistency of the discretized model is investigated and improvements in the approximation are obtained by modifying the numerical process. Corrective algorithms preserving meshless consiste…

Electromagnetic fieldRegularized meshless methodMathematical optimizationDiscretizationNumerical analysisApplied MathematicsMeshless particle methodMaxwell's equationSmoothed particle hydrodynamicsElectromagnetic transientsSmoothed-particle hydrodynamicssymbols.namesakeSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaComputational MathematicsMaxwell's equationsMaxwell's equationsMesh generationsymbolsElectromagnetic transientApplied mathematicsTime domainMathematicsJournal of Computational and Applied Mathematics
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Speed control design for a vehicle system using fuzzy logic and PID controller

2015

This paper consists of designing fuzzy and PID controllers for controlling the vehicle speed. The dynamic of the system is modeled to provide a transfer function for the plant. Fuzzy and PID controller are designed for linear model. The external disturbances such road grade is considered to stabilizing the system. Both controllers are modeled using MATLAB Simulink software. Finally, a comparative assessment of each simulated result is done based on the response characteristics.

Electronic speed controlControl and Optimizationbusiness.industryComputer sciencePID controllerFuzzy control systemFuzzy logicTransfer functionSoftwarecruise controlArtificial IntelligenceControl theoryControl systemcontroller; cruise control; fuzzy logic; PID control; Artificial Intelligence; Control and Optimization; Discrete Mathematics and CombinatoricsPID controlDiscrete Mathematics and Combinatoricsfuzzy logiccontrollerbusinessCruise control2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
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Optimization of the domain in elliptic variational inequalities

1988

This paper is concerned with a nonsmooth shape optimization problem for the Signorini unilateral boundary-value problem. The necessary optimality conditions are derived. The results of computations are presented.

Elliptic curveMathematical optimizationControl and OptimizationApplied MathematicsComputationVariational inequalityShape optimization problemBoundary value problemGradient methodFinite element methodDomain (mathematical analysis)MathematicsApplied Mathematics & Optimization
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