Search results for " optimization"

showing 10 items of 2367 documents

Ancillary Services in the Energy Blockchain for Microgrids

2019

The energy blockchain is a distributed Internet protocol for energy transactions between nodes of a power system. Recent applications of the energy blockchain in microgrids only consider the energy transactions between peers without considering the technical issues that can arise, especially when the system is islanded. One contribution of the paper is, thus, to depict a comprehensive framework of the technical and economic management of microgrids in the blockchain era, considering, for the first time, the provision of ancillary services and, in particular, of the voltage regulation service. When more PV nodes are operating in the grid, large reactive power flows may appear in the branches…

BlockchainComputer science020209 energyDistributed computingdis- tributed generation02 engineering and technologyIndustrial and Manufacturing EngineeringElectric power system0202 electrical engineering electronic engineering information engineeringRemunerationElectrical and Electronic Engineeringenergy blockchainGlow- worm Swarm Optimization.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniP2PSettore ING-INF/03 - Telecomunicazioni020208 electrical & electronic engineeringTransactive energyAC powerGridSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaControl and Systems EngineeringOptimal reactive power flowMicrogridVoltage regulationDatabase transaction
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Robust Allocation Rules in Dynamical Cooperative TU Games

2011

Robust dynamic coalitional TU games are repeated TU games where the values of the coalitions are unknown but bounded variables. We set up the game supposing that the Game Designer uses a vague measure of the extra reward that each coalition has received up to the current time to re-adjust the allocations among the players. As main result, we provide a constructive method for designing allocation rules that converge to the core of the average game. Both the set up and the solution approach also provide an insight on commonalities between coalitional games and stability theory.

Bondareva–Shapley theoremgame theoryMathematical optimizationSequential gameComputer scienceComputingMilieux_PERSONALCOMPUTINGCombinatorial game theoryTheoryofComputation_GENERALConstructiveBounded functionRepeated gameVideo game designGame theoryMathematical economics
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Boosting Design Space Explorations with Existing or Automatically Learned Knowledge

2012

During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with heuristic algorithms are a helpful approach to find the best settings for these parameters according to multiple objectives, e.g. performance, energy consumption, or real-time constraints. But if the setup is slightly changed and a new DSE has to be performed, it will start from scratch, resulting in very long evaluation times. To reduce the evaluation times we extend the NSGA-II algorithm in this article, such that automatic DSEs can be supported with a set of transformation rules defined in a highly readable format, the fuz…

Boosting (machine learning)Fuzzy ruleFuzzy Control LanguageComputer scienceDecision treeBenchmarkingData miningEnergy consumptionGridcomputer.software_genreMulti-objective optimizationcomputercomputer.programming_language
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Optimization of the characteristic angles of both front and rear McPherson suspensions on a circular track using multi-body numerical simulation

2009

The research reported in this paper aims to simulate the road-holding of a virtual vehicle using multi-body simulation to estimate both the contact forces between the tyre and ground and the roll motion when cornering. Furthermore, the effect of the characteristic angles on the variation in the forces of the tyre in contact with the ground is studied to determine optimal values for these angles. Emphasis is placed on an average-class vehicle, of which both the external dimensions and mass are chosen appropriately, with a McPherson suspension mounted on both the front and the rear. The characteristic values of the camber and toe-in angles, in both the front and the rear, are optimized for m…

Camber angleEngineeringComputer simulationbusiness.industryMechanical EngineeringAerospace EngineeringStructural engineeringToecamber toe-in McPherson optimization of the characteristic angleContact forceVehicle dynamicsSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineContact mechanicsCamber (ship)businessSuspension (vehicle)Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
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The mixed capacitated general routing problem with turn penalties

2011

In this paper we deal with the mixed capacitated general routing problem with turn penalties. This problem generalizes many important arc and node routing problems, and it takes into account turn penalties and forbidden turns, which are crucial in many real-life applications, such as mail delivery, waste collection and street maintenance operations. Through a polynomial transformation of the considered problem into a Generalized Vehicle routing problem, we suggest a new approach for solving this new problem by transforming it into an Asymmetric Capacitated Vehicle routing problem. In this way, we can solve the new problem both optimally and heuristically using existing algorithms. A powerfu…

Capacitated vehicle routing problemMathematical optimizationRouting problemsPolynomial transformationReal-life applicationsTurn penaltiesCapacitated general routing problemRouting algorithmsVehicle Routing ProblemsTransformationPolynomial transformationsArtificial IntelligenceVehicle routing problemDestination-Sequenced Distance Vector routingGeneral routing problemMathematicsta113Average deviationStatic routingWaste collectionNode (networking)General EngineeringSolution methodsMaintenance operationsVehicle routingComputer Science ApplicationsMemetic algorithmsBenchmark (computing)Network routingMemetic algorithmRouting (electronic design automation)MATEMATICA APLICADAAlgorithmsExpert Systems with Applications
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A Simulation Analysis of the Microstructure of an Order Driven Financial Market with Multiple Securities and Portfolio Choices

2005

In this paper we propose an artificial market where multiple risky assets are exchanged. Agents are constrained by the availability of resources and trade to adjust their portfolio according to an exogenously given target portfolio. We model the trading mechanism as a continuous auction order-driven market. Agents are heterogeneous in terms of desired target portfolio allocations, but they are homogeneous in terms of trading strategies. We investigate the role played by the trading mechanism in affecting the dynamics of prices, trading volume and volatility. We show that the institutional setting of a double auction market is sufficient to generate a non-normal distribution of price changes…

Capital market lineMarket microstructurecomputer.software_genreMicroeconomicsPortfolio insuranceReplicating portfolioEconomicsPortfolioTrading strategyartificial market heterogeneous agents trading mechanism double auction marketAlgorithmic tradingPortfolio optimizationGeneral Economics Econometrics and FinancecomputerFinance
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What You Should Know About Carbon Markets

2008

Since the entry into force of the Kyoto Protocol, carbon trading has been in continuous expansion. In this paper, we review the origins of carbon trading in order to understand how carbon trading works in Europe and, specifically, the functioning of the European Union Emission Trading Scheme (EU ETS) and the workings of several spot, futures and options markets where European Union Allowances are traded. As well, the linking of the EU ETS with the other United Nations carbon markets is also studied.

Carbon MarketsControl and OptimizationEnergy Engineering and Power TechnologyEuropean Union Emission Trading Schemelcsh:Technologyjel:Q40Clean Development MechanismEmission TradingOrder (exchange)jel:Qjel:Q43jel:Q42jel:Q41jel:Q48media_common.cataloged_instancejel:Q47Electrical and Electronic EngineeringCarbon creditEuropean unionEuropean Union AllowancesEngineering (miscellaneous)jel:Q49media_commonlcsh:TRenewable Energy Sustainability and the Environmentjel:Q0International economicsjel:Q4Emission Trading; European Union Allowances; Carbon MarketsKyoto ProtocolBusinessEmissions tradingFutures contractEnergy (miscellaneous)Energies
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Boundary value steady solutions of a class of hydrodynamic models for vehicular traffic flow

2003

This paper deals with the solution of a boundary value problem related to a steady nonuniform description of a class of traffic flow models. The models are obtained by the closure of the mass conservation equation with a phenomenological relation linking the local mass velocity to the local density. The analysis is addressed to define the proper framework toward the identification of the parameter characterizing the model. The last part of the paper develops a critical analysis also addressed to the design of new traffic flow models.

Cauchy problemMathematical optimizationPartial differential equationSteady stateDifferential equationClosure (topology)Traffic flowComputer Science ApplicationsMicroscopic traffic flow modelModelling and SimulationModeling and SimulationApplied mathematicsBoundary value problemMathematicsMathematical and Computer Modelling
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Stability analysis of neutral systems with mixed time-varying delays and nonlinear perturbations

2009

In this paper, the problem of stability analysis for a class of neutral systems with mixed time-varying neutral, discrete and distributed delays and nonlinear perturbations are addressed. By introducing a novel Lyapunov-Krasovskii functional and combining the descriptor model transformation, the Leibniz-Newton formula, some free weighting matrices and a suitable change of variables, new sufficient conditions are established for the stability of the considered system, which are neutral-delay-dependent, discrete-delay-range-dependent and distributed-delay-dependent. The conditions are presented in terms of linear matrix inequalities (LMIs) and can be easily solved by existing convex optimizat…

Change of variablesControl theoryControl and Systems EngineeringModel transformationConvex optimizationNonlinear perturbationsLinear matrixNeutral systemsStability (probability)computerWeightingMathematicscomputer.programming_language
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On interactive multiobjective optimization with NIMBUS® in chemical process design

2005

We study multiobjective optimization problems arising from chemical process simulation. The interactive multiobjective optimization method NIMBUS®, developed at the University of Jyvaskyla, is combined with the BALAS® process simulator, developed at the VTT Technical Research Center of Finland, in order to provide a new interactive tool for designing chemical processes. Continuous interaction between the method and the designer provides a new efficient approach to explore Pareto optimal solutions and helps the designer to learn about the behaviour of the process. As an example of how the new tool can be used, we report the results of applying it in a heat recovery system design problem rela…

Chemical processPareto optimalMathematical optimizationComputer scienceProcess (engineering)Strategy and ManagementHeat recovery ventilationGeneral Decision SciencesProcess designProcess simulationMulti-objective optimizationIndustrial engineeringResearch centerJournal of Multi-Criteria Decision Analysis
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