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检索条件"主题词=Mixed integer linear programming"

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Short-Term Trading for a Photovoltaic Power Producer in Electricity Markets

Short-Term Trading for a Photovoltaic Power Producer in Elec...

引用

IEEE Power and Energy Society General Meeting

作者： Agustin A. Sanchez de la Nieta Renata F. M. Martins Tiago A. M. Tavares Joao C. O. Matias Joao P. S. Catalao Javier Contreras Univ. Beira Interior Covilha INESC-ID and IST Univ. Lisbon University of Castilla-La Mancha UCLM

ISBN: (纸本)9781467380416

Premiums for renewable energy are being reduced as a consequence of the world economic crisis. This paper models the trading of the energy generated by a photovoltaic generator. The problem is solved through stochastic mixed integer linear programming where the objective function aims at maximizing the profit of selling the photovoltaic production in the day-ahead market. The model is tested without any premium and market and imbalance market prices are forecasted using AR, MA and ARIMA models while photovoltaic production is simulated using Montecarlo method. The model is tested for a case study where the behaviour of the offer, imbalances, incomes and costs is analyzed.

关键词： Photovoltaic production Daily market Time series Stochastic mixed integer linear programming power markets Time series premium PHOTOVOLTAIC mixed integer linear programming Energy sources Objective function Renewable energy actor photovoltaic generator

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Optimization on human and material resources in Emergency Department

Optimization on human and material resources in Emergency De...

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International Conference on Industrial Engineering and Systems Management (IESM)

作者： Dorsaf Daldoul Issam Nouaouri Hanen Bouchriha Hamid Allaoui National Engineering School of Tunis University of Tunis Elmanar Tunis Tunisia University of Artois LGI2A Laboratory Bethune France

Emergency Departments (ED) is the center of the hospital management's efforts. It constitutes a complex system with limited resources and random demands. The goal of this paper is to optimize the number of the human and material resources. We focus particularly on medical staff (physicians and nurses) and beds in emergency department. We propose a mixed integer linear programming (MILP) that minimizes the number of waiting patients. We consider simultaneously four patients' queue. To solve this model, we use the solver ILOG CPLEX Optimization Studio. The program has been tested on a set of instances. Numerical results show that the number of waiting patients decreased by optimizing the number of the human and material resources.

关键词： Optimization Scheduling Mathematical model Computational modeling Hospitals mixed integer linear programming

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Stochastic Optimal Scheduling of Residential Appliances with Renewable Energy Sources

Stochastic Optimal Scheduling of Residential Appliances with...

引用

IEEE Power and Energy Society General Meeting

作者： Hongyu Wu Annabelle Pratt Sudipta Chakraborty National Renewable Energy Laboratory Golden Colorado USA

ISBN: (纸本)9781467380416

This paper proposes a stochastic, multi-objective optimization model within a Model Predictive Control (MPC) framework, to determine the optimal operational schedules of residential appliances operating in the presence of renewable energy source (RES). The objective function minimizes the weighted sum of discomfort, energy cost, total and peak electricity consumption, and carbon footprint. A heuristic method is developed for combining different objective components. The proposed stochastic model utilizes Monte Carlo simulation (MCS) for representing uncertainties in electricity price, outdoor temperature, RES generation, water usage, and non-controllable loads. The proposed model is solved using a mixed integer linear programming (MILP) solver and numerical results show the validity of the model. Case studies show the benefit of using the proposed optimization model.

关键词： Home energy management system Monte Carlo simulation mixed integer linear programming renewable energy sources stochastic optimization

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Optimized Selection and Operation of Electrical Energy Storage Systems

Optimized Selection and Operation of Electrical Energy Stora...

引用

IEEE Power and Energy Society General Meeting

作者： B. F. Nunes Y. F. F. C. Silva E. C. Bortoni Itajuba Federal University (UNIFEI)

ISBN: (纸本)9781467380416

This paper presents a model to optimally select and operate energy storage devices attached to renewable energy generators connected to power distribution systems. The purpose is to supply a load during specific periods, considering the intermittence of the renewable energy resources and variable electricity rates. Thus, it was developed a database containing information obtained from catalogs of Lithium-Ion and Lead-Acid batteries manufacturers. The problem was formulated according to a mixed integer linear programming model, which was solved by LINDO code. A case study is presented and analyzed using the proposed methodology. The primary conclusions relate to the behavior of the proposed model in the short period of a day and how it should be improved in order to be adapted for a longer period.

关键词： Energy Storage Devices Renewable Energy Resources Smart Grid Optimization Intermittent Power Generation Energy storage devices Renewable energy resources Cache Memory System mixed integer linear programming catalogs electrical energy

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Cloud Virtual Network Embedding: Profit, Power and Acceptance

Cloud Virtual Network Embedding: Profit, Power and Acceptanc...

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IEEE Global Communications Conference

作者： Leonard Nonde Taisir E. H. Elgorashi Jaafar M. H. Elmirgahni School of Electronic and Electrical Engineering University of Leeds

ISBN: (纸本)9781479959532

In this paper, we investigate maximizing the profit achieved by infrastructure providers (InPs) from embedding virtual network requests (VNRs) in IP/WDM core networks with clouds. We develop a mixed integer linear programming (MILP) model to study the impact of maximizing the profit on the power consumption and acceptance of VNRs. The results show that higher acceptance rates do not necessarily lead to higher profit due to the high cost associated with accepting some of the requests. The results also show that minimum power consumption can be achieved while maintaining the maximum profit.

关键词： Cloud Networks Virtual Network Embedding Network Virtualization MILP Energy Efficient Networks IP over WDM Virtual networks ACCEPTANCE Power consumption Clouds embedding mixed integer linear programming core network CLOUDS

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Urban Road Traffic Light Real-Time Scheduling

Urban Road Traffic Light Real-Time Scheduling

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IEEE Annual Conference on Decision and Control

作者： Yicheng Zhang Rong Su Kaizhou Gao Division of Control and Instrumentation in School of Electrical and Electronic Engineering at Nanyang Technological University Singapore 639798

ISBN: (纸本)9781479978878

This paper addresses urban traffic signal control in a scheduling framework, where the dynamics of an urban traffic network controlled by traffic lights is described by a novel model, which inserts mixed logical constraints into a cell transmission flow dynamic model, capable of capturing the nonlinear relationship between each outgoing link flow rate and the corresponding upstream and downstream link capacities and the past traffic light signals. With a control goal of minimizing the total network-wise delay time, we translate the traffic signal control problem into a centralized mixed integer linear programming problem solvable by several existing tools, e.g., CPLEX. To overcome the potentially high complexity involved in the centralized approach, we propose a distributed scheduling strategy based on Lagrangian relaxation and subgradient method. Simulation results are provided to demonstrate the effectiveness of the proposed traffic light scheduling approach.

关键词： Traffic lights Progressive traffic signal control Area traffic signal control Automatic traffic signal control time schedule Road traffic traffic network Urban road traffic in cities Traffic signal control systems traffic signal controller mixed integer linear programming

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Short Term Self Scheduling of Hydro Power Plants with Intra-day Regulation Capacity. Case study of Los Molles and Sauzal in Chile

Short Term Self Scheduling of Hydro Power Plants with Intra-...

引用

IEEE Power and Energy Society General Meeting

作者： Jorge Villavicencio Rodolfo Ramirez Eduardo Pereira-Bonvallet Endesa Chile

ISBN: (纸本)9781467380416

A mixed integer linear programming (MILP) model for scheduling of the short-term operation of a price-taker hydroelectric plant is presented. The objective of the model is to maximize the profit of energy production in the next hours' operations. Non-linear production curves of hydro power units are considered through a piecewise representation. A detailed modeling of the hydro network is also described. Realistic test-cases of Los Molles and Sauzal-Sauzalito power plants, both part of the Enel group operations in Chile, are analyzed in detail. Results of real operation are compared to the schedules produced with the model showing the potential of the proposed approach in the industry.

关键词： Hydroelectric power generation Unit commitment mixed integer linear programming Optimal scheduling

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Unit Commitment of Power Systems Integrated With Wind Farms Based on Cost-Benefit Analysis

Unit Commitment of Power Systems Integrated With Wind Farms ...

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第27届中国控制与决策会议

作者： Liudong Zhang Minghui Yin Kunlong Song Yun Zou School of Automation Nanjing University of Science and Technology

ISBN: (纸本)9781479970186

The traditional deterministic unit commitment cannot adequately address the safe and economic operation of power systems with large-scale volatile and uncontrollable wind power *** combining an uncertainty analysis of wind power based on confidence interval and cost-benefit analysis in economics,an improved unit commitment model considering the uncertainty risk of wind power predictions is proposed to appropriately apply wind power predictions into unit ***-benefit analysis is utilized in the proposed model to obtain a single objective function consisting of the generation cost of units and loss-of-load risk of power *** proposed model remedies the defects of the existing models where the selection of confidence interval is not given,and realizes a scheduling decision compromising the economic efficiency and the risk of wind *** mixed integer linear programming method,simulation studies on the IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.

关键词： Unit Commitment Wind Power Forecast Uncertainty Confidence Interval Cost-Benefit Analysis mixed integer linear programming

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Integrated strategic and tactical optimization of animal-waste sourced biopower supply chains

Integrated strategic and tactical optimization of animal-was...

引用

International Conference on Industrial Engineering and Systems Management

作者： Kunal Kumar Christian Javier Clavijo Lopez Oscar Augusto Tellez Sanchez Amit Gupta Olivier Péton Thomas G. Yeung Adrien Vanuxem Acole des Mines de Nantes Nantes France

ISBN: (纸本)9781467383400

Many models have been recently developed for the optimization of biomass related supply chains. However, models for biopower supply chains powered by animal waste have not received much attention yet. In this paper, we propose a mixed integer linear programming model for supplier selection and procurement planning for a biopower plant. The model integrates time window constraints for the collection of animal waste as well as inventory constraints. We show that the model is intractable with a state-of-the art commercial solver and propose a heuristic approach based on the Adaptive Large Neighbourhood Search (ALNS) framework. We show the efficiency of this approach on a case study in central France.

关键词： Integrated strategic tactical optimization animal-waste sourced biopower supply chains Biomass energy Manure mixed integer linear programming

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Separating Objects and Clutter in Indoor Scenes

Separating Objects and Clutter in Indoor Scenes

引用

IEEE Conference on Computer Vision and Pattern Recognition

作者： S. H. Khan Xuming He M. Bannamoun F. Sohel R. Togneri School of CSSE UWA NICTA and ANU School of EECE UWA

ISBN: (纸本)9781467369657

Objects' spatial layout estimation and clutter identification are two important tasks to understand indoor scenes. We propose to solve both of these problems in a joint framework using RGBD images of indoor scenes. In contrast to recent approaches which focus on either one of these two problems, we perform 'fine grained structure categorization' by predicting all the major objects and simultaneously labeling the cluttered regions. A conditional random field model is proposed to incorporate a rich set of local appearance, geometric features and interactions between the scene elements. We take a structural learning approach with a loss of 3D localisation to estimate the model parameters from a large annotated RGBD dataset, and a mixed integer linear programming formulation for inference. We demonstrate that our approach is able to detect cuboids and estimate cluttered regions across many different object and scene categories in the presence of occlusion, illumination and appearance variations.

关键词： clutter mixed integer linear programming model parameters INDOORS

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