Search results for "Automation & Control Systems"

showing 2 items of 2 documents

Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System

2018

The envisaged decarbonization of the European power system introduces complex techno-economic challenges to its operation and development. Demand flexibility can significantly contribute in addressing these challenges and enable a cost-effective transition to the low-carbon future. Although extensive previous work has analyzed the impacts of residential and commercial demand flexibility, the respective potential of the industrial sector has not yet been thoroughly investigated despite its large size. This paper presents a novel, whole-system modeling framework to comprehensively quantify the potential economic benefits of flexible industrial demand (FID) for the European power system. This …

TechnologyElectrical & Electronic EngineeringComputer science020209 energyDistribution (economics)Information System02 engineering and technology09 EngineeringENERGY MANAGEMENT SCHEMEElectric power systemAutomation & Control SystemsEngineeringDemand flexibilityCARBON ELECTRICITY SYSTEMS10 Technology0202 electrical engineering electronic engineering information engineeringCapital costElectrical and Electronic EngineeringOperating costFlexibility (engineering)08 Information And Computing Sciencesindustrial demandScience & Technologyrenewable generationbusiness.industryFACILITIESComputer Science Applications1707 Computer Vision and Pattern RecognitionEnvironmental economicsInvestment (macroeconomics)Computer Science Applicationspower systemWork (electrical)Control and Systems EngineeringSecondary sector of the economyEngineering IndustrialComputer ScienceComputer Science Interdisciplinary ApplicationsSIDE MANAGEMENTbusinessoptimizationSTORAGEInformation SystemsIEEE Transactions on Industrial Informatics
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