Search results for "Control theory"

showing 10 items of 1333 documents

Effect of voltage deviations on power distribution losses in presence of DG technology

2015

Integration of distributed generation (DG) units in power distribution network has become increasingly attractive multi-faceted paradigm as economic and environmental factors drive new technologies to be more efficient and less polluting than their earlier counterparts. The installation of DGs impacts critically on the planning and operating characteristics of the distribution network. Type, location, number and capacity of DG are essential factors for studying the effect of DGs on the system behavior. In this paper the effect of DG on the power losses of a distribution network is investigated for different types of DG units. Also, the impact of DG on the voltage profile is demonstrated bef…

distribution systemElectric power distributionEngineeringbusiness.industryVoltage optimisationAC powerPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDG integrationControl theoryvoltage profileDistributed generationElectronic engineeringVoltage regulationDistributed generationbusinessPower controlVoltage2015 International Conference on Renewable Energy Research and Applications (ICRERA)
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Real-Time Minimization Power Losses by Driven Primary Regulation in Islanded Microgrids

2020

Islanded microgrids are small networks that work independently from the main grid. The frequency and voltage in islanded microgrids are affected directly by the output power of distributed generators and power demand variations. In this work, a real-time driven primary regulation, which relies on optimized P-f droop coefficients, is proposed. In all operating conditions, it minimizes the power losses for islanded microgrids. The proposed configuration will allow the optimization modules to interact with each other and adjust parameters producing a suitable power sharing among generators. The methodology is tested based on a hardware-in-the-loop experimental set-up where distributed generato…

droop controlControl and OptimizationMicrogridComputer sciencemicrogrids020209 energyEnergy Engineering and Power Technology02 engineering and technologylcsh:TechnologyReliability (semiconductor)Control theory0202 electrical engineering electronic engineering information engineeringVoltage droopElectrical and Electronic Engineeringminimum lossesEngineering (miscellaneous)lcsh:TRenewable Energy Sustainability and the Environmentmicrogrids; minimum losses; droop control; real-time optimal power flow020208 electrical & electronic engineeringWork (physics)GridPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'Energiareal-time optimal power flowPower demandMinimum losseMinificationEnergy (miscellaneous)VoltageEnergies
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Transient stability simulation of a fixed speed wind turbine by Matlab/Simulink

2007

This paper describes the dynamic behavior of a typical fixed speed wind turbine connected to the grid; the model is developed in the simulation tool Matlab/Simulink and created as a modular structure. The pitch control system is used for stabilization of the wind turbine at grid faults. In this way, voltage stability of the system with grid-connected wind turbines can be improved by using blade-angle control for a temporary reduction of the wind turbine power during a short-circuit fault in the grid. This paper shows a new variable control for maintaining of voltage stability, when a three-phase fault is applied close to the wind turbine and cleared by disconnecting the affected line. In th…

dynamic model pitch control system voltage stability investigation wind turbine.EngineeringWind powerbusiness.industryComputerApplications_COMPUTERSINOTHERSYSTEMSAerodynamicsFault (power engineering)TurbineWind speedSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaPower system simulationPitch controlControl theoryTransient (oscillation)businessComputer Science::Distributed Parallel and Cluster Computing2007 International Conference on Clean Electrical Power
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A Strategy for the Prediction of the Response of Hysteretic Systems: A Base for Capacity Assessment of Buildings under Seismic Load

2014

A statistical non linearization method is used to approximate systems modeled by the Bouc differential equa- tion and excited by a Gaussian white noise external load. To this aim restricted potential models (RPM) are used, which are suitable for an extended number of nonlinear problems as have been proved several times. Since the solution of RPM is known by the probabilistic point of view, all statistical characteristics can be derived at once with advantages by the computational point of view. Hence, this paper discusses the possibility to determine sets of parameters characterizing po- tential models that are valid for describing a hysteretic behavior. In this way the characterization of …

energy dissipationEngineeringBouc model energy dissipation equivalent non linearization hysteretic behavior response statistics restricted potential models.business.industrySeismic loadingProbabilistic logichysteretic behaviorBuilding and ConstructionWhite noiseDissipationBouc model; energy dissipation; equivalent non linearization; hysteretic behavior; response statistics; restricted potential models.equivalent non linearizationNonlinear systemSettore ICAR/09 - Tecnica Delle CostruzioniLinearizationControl theoryBouc modelPoint (geometry)response statisticsDifferential (infinitesimal)businessrestricted potential models
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A magnetostrictive generator for sensors network

2017

In this paper we present a vibration harvesting electric power generator based on magnetostrictive effect for sensors network in hazardous area and we validate it experimentally. The generator has been designed by using Dynamic Preisach hysteresis Model (DPM). DPM is a development of classical Preisach Model which is able to include dynamical features in the mathematical model of hysteresis. We measure the output power capability of the generator and we estimate its power density generation capability.

energy harvestingControl and OptimizationPower capabilityComputer scienceMeasure (physics)Energy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricimagnetostriction01 natural sciencesIndustrial and Manufacturing EngineeringGenerator (circuit theory)Control theory0103 physical sciencesElectrical and Electronic EngineeringHysteresis modellingPower density010302 applied physicsSettore ING-IND/11 - Fisica Tecnica AmbientaleMagnetostriction021001 nanoscience & nanotechnologyelectric machineVibrationHysteresismagnetic materialElectric power0210 nano-technologyIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
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Movement Detection with Event-Based Cameras: Comparison with Frame-Based Cameras in Robot Object Tracking Using Powerlink Communication

2018

Event-based cameras are not common in industrial applications despite the fact that they can add multiple advantages for applications with moving objects. In comparison with frame-based cameras, the amount of generated data is very low while keeping the main information in the scene. For an industrial environment with interconnected systems, data reduction becomes very important to avoid network congestion and provide faster response time. However, the use of new sensors as event-based cameras is not common since they do not usually provide connectivity to industrial buses. This work develops a network node based on a Field Programmable Gate Array (FPGA), including data acquisition and trac…

event-based cameraComputer Networks and CommunicationsComputer scienceReal-time computinglcsh:TK7800-836002 engineering and technologyData acquisitionControl theoryRobustness (computer science)0202 electrical engineering electronic engineering information engineeringPowerlink busElectrical and Electronic Engineeringobject trackingEnginyeria elèctricaPowerlink FPGA controlled nodeInverse kinematicsEvent (computing)Node (networking)lcsh:Electronics020208 electrical & electronic engineeringFrame (networking)two-axis robotevent-based processingHardware and ArchitectureControl and Systems EngineeringVideo trackingSignal ProcessingRobot020201 artificial intelligence & image processingRobotsElectronics
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Optimization of Delayed-State Kalman-Filter-based Algorithm via Differential Evolution for Sensorless Control of Induction Motors

2010

This paper proposes the employment of the differential evolution (DE) to offline optimize the covariance matrices of a new reduced delayed-state Kalman-filter (DSKF)-based algorithm which estimates the stator-flux linkage components, in the stationary reference frame, to realize sensorless control of induction motors (IMs). The DSKF-based algorithm uses the derivatives of the stator-flux components as mathematical model and the stator-voltage equations as observation model so that only a vector of four variables has to be offline optimized. Numerical results, carried out using a low-speed training test, show that the proposed DE-based approach is very promising and clearly outperforms a cla…

evolutionary algorithms (EAs)induction-motor (IM) drivesvelocity controlspeed sensorlessProportional controlcovariance matricesKalman filteralgorithmsSliding mode controlControl and Systems EngineeringRobustness (computer science)Control theoryAC motor drivesDifferential evolutionoptimization methodsstate estimationElectrical and Electronic EngineeringRobust controlparameter estimationAlgorithmStationary Reference FrameKalman filteringInduction motorMathematics
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Reliability Analysis of Three Homogeneous Fault-tolerant Inverter Topologies

2016

Abstract—In this article, non-redundant fault-tolerant inverter topologies are addressed. A novel fault-tolerant control strategy which enhances performances during post-fault operation is proposed. Benefits from the proposed strategy over conventional fault-tolerant topologies are investigated in terms of system reliability. Cost, post-fault performances, and system reliability of the proposed solution are compared with both a conventional triac-based fault-tolerant inverter and a T-type inverter. The reliability analysis of each selected configuration is carried out by means of Markov chains. The analysis is validated through a comparison of reliability and sensitivity curves. As shown by…

faultComputer science020209 energyTRIACEnergy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciNetwork topologySearch engineControl theory0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)Electrical and Electronic EngineeringReliability (statistics)reliabilityMarkov chainpower inverterMechanical Engineering020208 electrical & electronic engineeringfaultspower invertersFault toleranceReliability engineeringInverterfault tolerance
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A Nonlinear Control of Synchronous Reluctance Motors (SynRM) Based on Feedback Linearization Considering the Self and Cross-Saturation Effects

2019

This paper proposes a nonlinear controller based on feedback linearization for Synchronous Reluctance Motors (SynRM) drives that takes into consideration the self and cross-saturation effects. Such control technique permits the dynamics of both the speed and flux loops to be maintained constant independently from the load and the saturation of the iron core. The proposed technique has been tested experimentally on a suitably developed test set-up.

feedback linearizationComputer scienceMagnetic reluctance05 social sciencesSynchronous reluctance motors (SynRM)020207 software engineering02 engineering and technologyNonlinear controlNonlinear systemSettore ING-INF/04 - AutomaticaMagnetic coreControl theorymagnetic saturation0202 electrical engineering electronic engineering information engineeringTorque0501 psychology and cognitive sciencesSynchronous reluctance motors (SynRM) Feedback linearization Magnetic saturationFeedback linearizationSaturation (magnetic)050107 human factors2019 IEEE Energy Conversion Congress and Exposition (ECCE)
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Adaptive variable structure fuzzy neural identification and control for a class of MIMO nonlinear system

2013

This paper presents a novel adaptive variable structure (AVS) method to design a fuzzy neural network (FNN). This AVS-FNN is based on radial basis function (RBF) neurons, which have center and width vectors. The network performs sequential learning through sliding data window reflecting system dynamic changes, and dynamic growing-and-pruning structure of FNN. The salient characteristics of the AVS-FNN are as follows: (1) Structure-learning and parameters estimation are performed automatically and simultaneously without partitioning input space and selecting initial parameters a priori. The structure-learning approach relies on the contribution of the size of the output. (2) A set of fuzzy r…

fuzzy neural networkArtificial neural networkNeuro-fuzzyComputer Networks and CommunicationsApplied MathematicsProcess (computing)Fuzzy logicWeightingControl and Systems EngineeringControl theorySignal ProcessingA priori and a posterioriRadial basis functionSequence learningMathematics
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