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检索条件"主题词=Optimization algorithms"

共 3923 条记录，以下是3911-3920 订阅

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EFFICIENT FORECAST SYSTEM FOR DISTRIBUTED GENERATORS WITH UNCERTAINTIES IN THE PRIMARY ENERGY SOURCE 22nd

EFFICIENT FORECAST SYSTEM FOR DISTRIBUTED GENERATORS WITH UN...

引用

International Conference and Exhibition on Electricity Distribution

作者： Augusto C. RUEDA-MEDINA Antonio PADILHA-FELTRIN J. R. S. MANTOVANI UNESP Ilha Solteira

ISBN: (纸本)9781629931333

A high degree of variability reduces the available capability of Distributed Generators (DGs) based on renewable energy sources because their power output is uncertain. To determine the true available capability of this kind of DG, this uncertainty must be reduced so that these DGs can be regarded as a reliable alternative. In this work, an efficient forecast system for DGs with uncertainties in the primary energy source is proposed. The power generation uncertainty of these DGs is reduced by running a multi-objective optimization algorithm in multiple probabilistic scenarios combining the Monte Carlo method and the Markov models.

关键词： Uncertainty Renewable energy optimization algorithms Energy sources Monte Carlo technique Power output dynamos renewable energy sources

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Cognitive Decision Making Process Supervising the Radio Dynamic Reconfiguration

Cognitive Decision Making Process Supervising the Radio Dyna...

引用

3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)

作者： Nicolas Colson Apostolos Kountouris Armelle Wautier Lionel Husson Orange Laboratories France Telecom Research and Development Center Meylan France Department of Telecommunications SUPELEC Gif-sur-Yvette France

ISBN: (纸本)9781424423019

Cognitive radio is a technological concept pushing for the introduction of intelligent radio operation going beyond system adaptation and reconfiguration on the basis of simple criteria and rules. Insofar, a rather limited amount of work has been published on the cognitive mechanisms that should be embedded into the communicating equipments to achieve such an intelligent behavior. Towards filling this gap, this paper presents an innovative optimization algorithm driving the decision making process supervising the cognitive radio reconfiguration. This cognitive algorithm, called RALFE for "Reason And Learn From Experience", presents interesting features since it allows to perform autonomous decision making with regard to multiple, possibly conflicting, operational objectives in the face of an uncertain environment. The proposed approach is illustrated for a case of cognitive waveform design.

关键词： decision making process Reconfiguration Cognitive radio dynamic reconfiguration Radio RADIO OPERATION optimization algorithms

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A Review Paper on the Elimination of Harmonics in Multilevel Inverters using Bioinspired algorithms

A Review Paper on the Elimination of Harmonics in Multilevel...

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International Conference on Circuits, Power and Computing Technologies

作者： Teena Jacob L. Padma Suresh Dept. of EEE Noorul Islam University Kanyakumari District Tamil Nadu

ISBN: (纸本)9781509012787

Multilevel inverters are highly capable of achieving higher quality output voltage waveforms and higher power ratings with the help of their multilevel structure. They have been of great interest in the field of power industry and are best suited for reactive power compensation. Multilevel voltage source inverters are capable of operating at high voltagewith less electromagnetic interference and results in higher efficiency. The harmonic elimination in a multilevel voltage source inverter is of atmost importance and different types of modulation strategies can be applied to the inverters to eliminate these harmonics. Among these modulation techniques, Selective harmonic elimination PWM is asignificant switching strategy that can be applied to the output voltage waveform of multilevel inverters for lower order harmonic elimination. This paper gives a review on the various optimization algorithms that is been used for the SHEPWM technique. Performance comparisons of these optimization algorithms in SHEPWM are discussed.

关键词： Multilevel voltage source inverter Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) optimization algorithms

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FOPID Controller Tuning for Fractional FOPDT Plants subject to Design Specifications in the Frequency Domain

FOPID Controller Tuning for Fractional FOPDT Plants subject ...

引用

European Control Conference

作者： Aleksei Tepljakov Eduard Petlenkov Juri Belikov Department of Computer Control Tallinn University of Technology Institute of Cybernetics Tallinn University of Technology

ISBN: (纸本)9781467371605

In this paper, the problem of fractional-order proportional-integral-derivative (FOPID) controller tuning for fractional-order first-order plus dead time plants (FFOPDT) is considered. The designed controller must fulfill the prescribed specifications in the frequency domain. To this end, the fractional orders of the integrator and differentiator components are selected using a set of rules based on the observation of essential plant dynamics, while a numerical optimization algorithm is employed for obtaining the gains of the controller based on three dimensional Newton's method. All the necessary equations for computing the elements of the Jacobian matrix are provided. The proposed algorithm is detailed. It is also implemented and verified on an embedded device. The proposed solution may be useful in developing automatic tuning algorithms for FOPID controllers.

关键词： Frequency-domain analysis Jacobian matrix controller tuning fractional order Controllers Newton method optimization algorithms Design specifications Specifications integrators

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Achievable Performance in Product-Form Networks

Achievable Performance in Product-Form Networks

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Annual Allerton Conference on Communication, Control, and Computing

作者： Jaron Sanders Sem C. Borst Johan S. H. van Leeuwaarden Eindhoven University of Technology Bell Laboratories Alcatel-Lucent

ISBN: (纸本)9781467345378

We characterize the achievable range of performance measures in product-form networks where one or more system parameters can be freely set by a network operator. Given a product-form network and a set of configurable parameters, we identify which performance measures can be controlled and which target values can be attained. We also discuss an online optimization algorithm, which allows a network operator to set the system parameters so as to achieve target performance metrics. In some cases, the algorithm can be implemented in a distributed fashion, of which we give several examples. Finally, we give conditions that guarantee convergence of the algorithm, under the assumption that the target performance metrics are within the achievable range.

关键词： Network operators system parameter optimization algorithms realizable Performance metrics Network

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AN IMPROVED MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZER FOR AIR TRAFFIC FLOW NETWORK REROUTING PROBLEM

AN IMPROVED MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZER FOR AIR...

引用

IEEE/AIAA Digital Avionics Systems Conference

作者： Miao Zhang Kai-quan Cai Yan-bo Zhu School of Electronic and Information Engineering Beihang University Aviation Data Communication Corporation

ISBN: (纸本)9781467316996

With the increasing incidence of malfunctions of air transportation system due to severe weather, the Air Traffic Flow Network Rerouting (ATFNR) is playing an important role in improving the global efficiency of air traffic. This paper adopts a multi-objective optimization model to solve the ATFNR problem to make a tradeoff between the total delay costs and the airlines fairness. Meanwhile, a specially-designed algorithm based on multi-objective comprehensive learning particle swarm optimizer (MOCLPSO) under the cooperative co-evolution framework is presented to handle this large scale, multi-objective real-world optimization problem. The empirical studies show that the presented methodology is effective and outperforms an existing approach to ATFNR problem as well as two well-known Multi-Objective optimization algorithms.

关键词： air traffic optimization algorithms malfunctions Airlines tradeoffs Network

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Simultaneous Information and Power Transfer in MISO Interference Systems

Simultaneous Information and Power Transfer in MISO Interfer...

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IEEE China Summit and International Conference on Signal and Information Processing

作者： Muhammad R. A. Khandaker Kai-Kit Wong Dept. of Electronic and Electrical Engineering University College London

ISBN: (纸本)9781479919499

This paper considers simultaneous wireless information and power transfer (SWIPT) in multiple-input single-output (MISO) interference systems in presence of energy harvesting nodes. We investigate the interference temperature minimization problem while satisfying signal-to-interference-and-noise ratio (SINR) and energy harvesting thresholds at the information and energy receivers, respectively. The objective is to improve the received SINR as well as to reduce cross-link information leakage in order to improve physical-layer security. The formulation leads to a non-convex problem which we solve using semidefinite relaxation (SDR) technique. A rank-constrained optimization algorithm is proposed and a rank reduction procedure is developed in order to achieve a lower rank solution. Interestingly, we show that the SDR is in fact tight and an optimal rank-one solution can be developed in certain scenarios. Numerical simulations are performed to demonstrate the effectiveness of the proposed algorithm.

关键词： power transfer multiple-input single-output energy harvesting SDPR gene Non-Convex SINR optimization algorithms

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Network Protection with Guaranteed Recovery Times using Recovery Domains

Network Protection with Guaranteed Recovery Times using Reco...

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IEEE INFOCOM Conference

作者： Greg Kuperman Eytan Modiano MIT LIDS Cambridge MA 02139

ISBN: (纸本)9781467359443

We consider the problem of providing network protection that guarantees the maximum amount of time that flow can be interrupted after a failure. This is in contrast to schemes that offer no recovery time guarantees, such as IP rerouting, or the prevalent local recovery scheme of Fast ReRoute, which often over-provisions resources to meet recovery time constraints. To meet these recovery time guarantees, we provide a novel and flexible solution by partitioning the network into failure-independent "recovery domains", where within each domain, the maximum amount of time to recover from a failure is guaranteed. We show the recovery domain problem to be NP-Hard, and develop an optimal solution in the form of an MILP for both the case when backup capacity can and cannot be shared. This provides protection with guaranteed recovery times using up to 45% less protection resources than local recovery. We demonstrate that the network-wide optimal recovery domain solution can be decomposed into a set of easier to solve subproblems. This allows for the development of flexible and efficient solutions, including an optimal algorithm using Lagrangian relaxation, which simulations show to converge rapidly to an optimal solution. Additionally, an algorithm is developed for when backup sharing is allowed. For dynamic arrivals, this algorithm performs better than the solution that tries to greedily optimize for each incoming demand.

关键词： clock recovery network protection optimal solution optimization algorithms Maximum Holding Time maximum maintenance time Nondeterministic polynomial-time hard trees (mathematics) FLEXIBLE

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Spatial Frequency Reuse in a Novel Generation of PMR Networks

Spatial Frequency Reuse in a Novel Generation of PMR Network...

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IEEE Wireless Communications And Networking Conference

作者： Alexis Lamiable Joanna Tomasik SUPELEC Systems Sciences (E3S) Computer Science Department 3 rue Joliot-Curie 91192 Gif-sur-Yvette Cedex France

ISBN: (纸本)9781467359382

Private Mobile Radio (PMR) networks are cellular infrastructures dedicated to be used by professionals, such as public safety, military, industry and transportation organizations. In those networks, resources are scarce, and there are strong Quality of Service (QoS) requirements. The emergence of new services which need more bandwidth has made the world PMR leader focus on the LTE-Advanced protocol. In order to ensure the QoS despite resource shortage, we propose an algorithm of Resource Blocks (RBs) allocation with spatial frequency reuse whose scheme takes into account users' (UEs') interference possibility and probability. We start by defining the underlying problem, which we call Weighted Fractional Coloring Problem (WFCP), in terms of graph theory. Next, we prove its NP-hardness. As obtaining an exact solution of such a problem in reasonable time is unrealistic, we propose a heuristic algorithm. In order to evaluate the performance of our algorithm we use a rigorous validation procedure. We compare its performance with that of a random one which we propose as a reference and the exact one which can be run on very small networks. Thanks to the results obtained we believe that the proposed algorithm can establish a solid starting point to conceive its distributed versions for novel PMR protocols.

关键词： frequency reuse resource allocation optimization algorithms interference control

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An Energy-Driven Road-to-Driver Assistance System for Intersections

An Energy-Driven Road-to-Driver Assistance System for Inters...

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European Control Conference

作者： Matteo Corno Andrea Bisoffi Carlo Ongini Sergio M. Savaresi Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Dipartimento di Ingegneria Industriale University of Trento

ISBN: (纸本)9781467371605

Several municipalities are investigating smart road infrastructures to help reducing pollution and traffic congestion. In this paper, a road to vehicle assistance system is presented. The system continuously suggests the optimal velocity the driver should adopt in order to minimize fuel consumption in a long urban road with frequent intersection controlled by traffic lights. Fuel saving is enabled by the apriori knowledge of the signal timing and phasing. The advantage of the algorithm is that it is minimally invasive as it does not require complex communication protocols. The method is based on an offline velocity profile optimization. In the paper, the optimization algorithm is detailed and the potential for fuel saving evaluated in simulation. The method is entirely focused on fuel efficiency. It is shown that average fuel savings up to 55% are to be expected with an average reduction of the traveling time of 28%.

关键词： Intersection Signal timing Driver Assistance Systems Fuels Communication protocols traffic congestion Fuel efficiency optimization algorithms road infrastructure Fuel consumption optimal velocity Urban road Traffic lights

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