Search results for "Operations"

showing 10 items of 1692 documents

A New Platform for Automatic Bottom-Up Electric Load Aggregation

2017

In this paper, a new virtual framework for load aggregation in the context of the liberalized energy market is proposed. Since aggregation is managed automatically through a dedicated platform, the purchase of energy can be carried out without intermediation as it happens in peer-to-peer energy transaction models. Differently from what was done before, in this new framework, individual customers can join a load aggregation program through the proposed aggregation platform. Through the platform, their features are evaluated and they are clustered according to their reliability and to the width of range of regulation allowed. The simulations show the deployment of an effective clustering and …

Control and OptimizationElectrical loadComputer science020209 energyReliability (computer networking)Distributed computingEnergy Engineering and Power TechnologyContext (language use)02 engineering and technology010501 environmental sciencesloads aggregation; loads clustering; energy market; active demand (AD)01 natural scienceslcsh:TechnologyEnergy market0202 electrical engineering electronic engineering information engineeringOperations managementEnergy marketActive demand (AD)Electrical and Electronic EngineeringCluster analysisEngineering (miscellaneous)Loads aggregation0105 earth and related environmental scienceslcsh:TRenewable Energy Sustainability and the EnvironmentComputer Science (all)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaLoads clusteringSoftware deploymentEnergy (signal processing)Energy (miscellaneous)Energies; Volume 10; Issue 11; Pages: 1682
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Optimal Starting Conditions for the Rendezvous Maneuver, Part 1: Optimal Control Approach

2008

We consider the three-dimensional rendezvous between two spacecraft: a target spacecraft on a circular orbit around the Earth and a chaser spacecraft initially on some elliptical orbit yet to be determined. The chaser spacecraft has variable mass, limited thrust, and its trajectory is governed by three controls, one determining the thrust magnitude and two determining the thrust direction. We seek the time history of the controls in such a way that the propellant mass required to execute the rendezvous maneuver is minimized. Two cases are considered: (i) time-to-rendezvous free and (ii) time-to-rendezvous given, respectively equivalent to (i) free angular travel and (ii) fixed angular trave…

Control and OptimizationElliptic orbitSpacecraftbusiness.industryApplied MathematicsThrust reversalRendezvousThrustComputer Science::Computational GeometryManagement Science and Operations ResearchComputer Science::RoboticsControl theoryPhysics::Space PhysicsAstrophysics::Earth and Planetary AstrophysicsCircular orbitOrbital maneuverbusinessSpace rendezvousMathematics
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Strict quasi-concavity and the differential barrier property of gauges in linear programming

2014

Concave gauge functions were introduced to give an analytical representation of cones. In particular, they give a simple and a practical representation of the positive orthant. There is a wide choice of concave gauge functions with interesting properties, representing the same cone. Besides the fact that a concave gauge cannot be identically zero on a cone(), it may be continuous, differentiable and even on its interior. The purpose of the present paper is to present another approach to penalizing the positivity constraints of a linear programme using an arbitrary strictly quasi-concave gauge representation. Throughout the paper, we generalize the concept of the central path and the analyti…

Control and OptimizationLinear programmingSimple (abstract algebra)Applied MathematicsMathematical analysisDifferentiable functionManagement Science and Operations ResearchDifferential (infinitesimal)Gauge (firearms)Representation (mathematics)Interior point methodOrthantMathematicsOptimization
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A Simple Operating Strategy of Small-Scale Battery Energy Storages for Energy Arbitrage under Dynamic Pricing Tariffs

2015

Price arbitrage involves taking advantage of an electricity price difference, storing electricity during low-prices times, and selling it back to the grid during high-prices periods. This strategy can be exploited by customers in presence of dynamic pricing schemes, such as hourly electricity prices, where the customer electricity cost may vary at any hour of day, and power consumption can be managed in a more flexible and economical manner, taking advantage of the price differential. Instead of modifying their energy consumption, customers can install storage systems to reduce their electricity bill, shifting the energy consumption from on-peak to off-peak hours. This paper develops a deta…

Control and OptimizationOperations researchEnergy managementEnergy Engineering and Power Technologylcsh:TechnologyLoad profilePrice arbitrageMicroeconomicsEconomicsElectricity marketElectrical and Electronic EngineeringEngineering (miscellaneous)Hourly electricity pricelcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryComputer Science (all)Energy managementEnergy consumptionOptimal operationRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaStand-alone power systemhourly electricity pricesDynamic pricingprice arbitrage; battery energy storage system; optimal operation; hourly electricity prices; energy managementElectricitybusinessBattery energy storage systemEnergy (miscellaneous)Energies
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Computing Euclidean Steiner trees over segments

2020

In the classical Euclidean Steiner minimum tree (SMT) problem, we are given a set of points in the Euclidean plane and we are supposed to find the minimum length tree that connects all these points, allowing the addition of arbitrary additional points. We investigate the variant of the problem where the input is a set of line segments. We allow these segments to have length 0, i.e., they are points and hence we generalize the classical problem. Furthermore, they are allowed to intersect such that we can model polygonal input. As in the GeoSteiner approach of Juhl et al. (Math Program Comput 10(2):487–532, 2018) for the classical case, we use a two-phase approach where we construct a superse…

Control and OptimizationSelection (relational algebra)0211 other engineering and technologies02 engineering and technologySubset and supersetManagement Science and Operations ResearchSteiner tree problemComputational geometrySet (abstract data type)symbols.namesakeLine segment510 MathematicsEuclidean geometry021108 energyMathematicsDiscrete mathematicsT57-57.97021103 operations researchApplied mathematics. Quantitative methods510 MathematikQA75.5-76.95004 InformatikTree (graph theory)Computational MathematicsExact algorithmModeling and SimulationElectronic computers. Computer sciencesymbols004 Data processing
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Sustainable Management of Tourist Flow Networks: A Mean Field Model

2023

In this article, we propose a mean field game approach for modeling the flows of excursionists within a network of tourist attractions. We prove the existence of an equilibrium within the network using a balance ordinary differential equation together with optimality conditions in terms of the value function. We also propose a bi-level formulation of the problem where we aim at achieving a sustainable-oriented control strategy in the upper level and at maximizing excursionists’ satisfaction in the lower level. Our proposed model may provide an effective management tool for local authorities who deal with the challenging problem of finding an optimal control policy to the often conflicting o…

Control and OptimizationSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.SustainabilityApplied Mathematicsnetwork flow optimal control mean field game bi-level optimization sustainabilityBi-level optimizationManagement Science and Operations ResearchSettore MAT/09 - Ricerca OperativaBi-level optimization; Mean field game; Network flow optimal control; SustainabilityNetwork flow optimal controlMean field game
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Guidance Trajectories for Spacecraft Rendezvous

2007

In a previous paper of Miele et al. (J. Optim. Theory Appl. 132(1), 2007), we employed the single-subarc sequential gradient-restoration algorithm to optimize the three-dimensional rendezvous between a target spacecraft in a planar circular orbit and a chaser spacecraft with an initial separation distance and separation velocity. The achieved continuous solutions are characterized by two, three, or four subarcs depending on the performance index (time, fuel) and the constraints. In this paper, based on the solutions in Miele et al. (J. Optim. Theory Appl. 132(1), 2007), we employ the multiple-subarc sequential gradient-restoration algorithm to produce pieced guidance trajectories implementa…

Control and OptimizationSpacecraftbusiness.industryApplied MathematicsRendezvousManagement Science and Operations ResearchOptimal controlControl theorySearch algorithmTheory of computationOrbit (dynamics)Circular orbitCalculus of variationsbusinessMathematicsJournal of Optimization Theory and Applications
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Optimal Trajectories for Spacecraft Rendezvous

2007

The efficient execution of a rendezvous maneuver is an essential component of various types of space missions. This work describes the formulation and numerical investigation of the thrust function required to minimize the time or fuel required for the terminal phase of the rendezvous of two spacecraft. The particular rendezvous studied concerns a target spacecraft in a circular orbit and a chaser spacecraft with an initial separation distance and separation velocity in all three dimensions. First, the time-optimal rendezvous is investigated followed by the fuel-optimal rendezvous for three values of the max-thrust acceleration via the sequential gradient-restoration algorithm. Then, the ti…

Control and OptimizationSpacecraftbusiness.industryApplied MathematicsRendezvousThrustManagement Science and Operations ResearchOptimal controlSpace explorationComputer Science::Multiagent SystemsComputer Science::RoboticsAccelerationControl theoryPhysics::Space PhysicsOrbit (dynamics)Circular orbitbusinessMathematics
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Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations

2022

AbstractWe introduce novel concepts to solve multiobjective optimization problems involving (computationally) expensive function evaluations and propose a new interactive method called O-NAUTILUS. It combines ideas of trade-off free search and navigation (where a decision maker sees changes in objective function values in real time) and extends the NAUTILUS Navigator method to surrogate-assisted optimization. Importantly, it utilizes uncertainty quantification from surrogate models like Kriging or properties like Lipschitz continuity to approximate a so-called optimistic Pareto optimal set. This enables the decision maker to search in unexplored parts of the Pareto optimal set and requires …

Control and Optimizationdecision makersApplied Mathematicspäätöksentekopreference informationManagement Science and Operations Researchinteractive methodsmonitavoiteoptimointiComputer Science ApplicationsoptimointiBusiness Management and Accounting (miscellaneous)multiobjective optimization problemskrigingmallit (mallintaminen)kriging-menetelmäcomputational cost
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An Adaptive Alternating Direction Method of Multipliers

2021

AbstractThe alternating direction method of multipliers (ADMM) is a powerful splitting algorithm for linearly constrained convex optimization problems. In view of its popularity and applicability, a growing attention is drawn toward the ADMM in nonconvex settings. Recent studies of minimization problems for nonconvex functions include various combinations of assumptions on the objective function including, in particular, a Lipschitz gradient assumption. We consider the case where the objective is the sum of a strongly convex function and a weakly convex function. To this end, we present and study an adaptive version of the ADMM which incorporates generalized notions of convexity and penalty…

Control and Optimizationsignal denoisingApplied Mathematicsalternating direction method of multipliersMathematics::Optimization and Controldouglas–rachford algorithmUNESCO::CIENCIAS TECNOLÓGICASManagement Science and Operations Researchcomonotonicityweakly convex functionOptimization and Control (math.OC)47H05 47N10 47J25 49M27 65K15FOS: Mathematicsfirm thresholdingMathematics - Optimization and Control
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