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检索条件"主题词=Mixed integer programming"

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Simultaneous electric vehicles scheduling and optimal charging in the business context: case study

Simultaneous electric vehicles scheduling and optimal chargi...

引用

5th IET Hybrid and Electric Vehicles Conference (HEVC 2014)

作者： O. Sassi-Ben Salah A. Oulamara Universite de Lorraine Nancy Lorraine FR

ISBN: (纸本)9781510800021

Our study deals with the simultaneous Electric Vehicle Scheduling and Optimal Charging Problem (EVSCP) in the business context. More precisely, given a mixed fleet of Electric Vehicles - EVs and Combustion Engine Vehicles - CVs, a set of tours to be processed by vehicles and a charging infrastructure, the problem aims to optimize the assignment of vehicles to tours and, simultaneously, to optimize the charging of EVs in order to avoid costly and carbon-hungry peak demand periods. We consider several operational constraints mainly related to chargers, electricity grid and EVs driving range. The overall objective of this study is to provide an efficient, scalable and generic decision support tool, combining both technical and business considerations, for vehicle fleet managers that are willing to minimize their vehicles ownership costs, to reduce CO 2 emissions and to avoid EVs batteries degradation. This study is promoted in the scope of a French National Project, led by La Poste Group1, ERDF2 and seven other companies and research laboratories. This R&D project aims at designing, with a progressive approach, a smart system that manages the charging infrastructures and allows an economical and ecological sustainable deployment of EVs fleet in the business context. To solve this problem, we provide a mixed-integer linear programming formulation to model the EVSCP problem and we use CPLEX to solve real test instances. Moreover, we propose different business scenarios and extensions to our baseline model. For instance, we consider the impact of EV use on the battery health and we are interested in different charging schemes, charging infrastructure, energy mix and CO 2 emissions.

关键词： Electric vehicle mixed integer programming Assignment problem Charging problem Experiments Electric vehicles optimal charging travel vehicle Intelligent systems Business integer programming CHARGING(ACCOUNTTNG) Power grids

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Optimal Transmission Entry Capacity in Wind-Integrated Power Systems

Optimal Transmission Entry Capacity in Wind-Integrated Power...

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IEEE International Energy Conference

作者： Ezgi Uzuncan Mohammad R. Hesamzadeh Electricity Market Research Group KTH Royal Institute of Technology

ISBN: (纸本)9781479924509

Determining optimal transmission entry capacity (TEC) is very crucial for ensuring an optimal usage of transmission network. It is a complex process to determine the correct TEC levels due to high amount of factors involved. A number of policies encourages the penetration of renewable energy sources with special focus on wind and solar power. Due to intermittent nature of wind energy, the process of determining TEC levels gets ever more complex. Besides, the increasing complexity of finding the optimum TEC levels for generators, another problem is that dispatch of conventional generators are affected by wind power productions. Therefore, the dispatch of all generators become uncertain due to uncertain nature of wind. In this conditions, the optimal usage of the transmission network is very important for efficient operation of the electricity markets. The aim of this paper is to find the optimal TEC levels for electricity generating firms. It uses linear optimisation model and mixed integer linear programming model for non-firm and firm dispatch conditions respectively. The derived models are applied to the IEEE 24-Node test system.

关键词： Power generation dispatch Transmission reliability standards for generators Transmission export capacity Wind energy mixed integer programming Linear programming

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The Study on the Distribution Center Location for Fresh Agricultural Products under Low-carbon Economy

The Study on the Distribution Center Location for Fresh Agri...

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The 2nd International Conference on Education, E-learning and Management Technology (EEMT2017)

作者： Hui Wang Jing Wang Wuhan University of Science and Technology

On the basis of location factors for the general distribution centers, scarcity and sustainable development capacity of resources under the low-carbon economy should be considered. The Analytical Hierarchy Process model was constructed to screen the distribution centers for the first time and avoid from "excellent selection from the inferiority". Then, carbon emission costs were introduced in the cost function to establish the mixed integer programming model for the second screening. In the end, based on City A, effectiveness of the model was verified. Findings showed that introduction of carbon emission costs in the cost function could greatly reduce environmental governance costs caused by carbon emission. As a result, consideration of environmental governance in the location of distribution center would be contributed to controlling emission of carbon dioxide as well as reducing difficulties and costs of environmental governance.

关键词： distribution center location AHP low carbon mixed integer programming

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Research on the Optimal Sub-contractor Selection Problem

Research on the Optimal Sub-contractor Selection Problem

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Asia Conference on Management Science and Engineering(ACMSE2013)

作者： Xiaoxia Huang Danni Liu Dongling School of Economics and Management University of Science and Technology Beijing

The aim of the general contractor is to select the optimal combination of subcontractors to minimize the total cost of the project under duration constraint. While the selection process is highly dependent on the quotation information provided by the bidders, which, in most cases, are the tender price and the bid duration of each subproject. To facilitate the decision process of the general contractor, a sub-contractor selection model is introduced in this paper. And then a model with considering the time value of money is proposed too. Accordingly, an illustrative example is given to demonstrate the use of the model and the effectiveness of the programming method.

关键词： Partner Selection Project Management Subcontracting Project Scheduling mixed integer programming

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Resource Transition Model under MISO MIP Based Look Ahead Commitment

Resource Transition Model under MISO MIP Based Look Ahead Co...

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IEEE Power and Energy Society General Meeting

作者： Yonghong Chen Vijaya Ganugula John Williams Jie Wan Ying Xiao MISO Carmel IN Alstom Grid

ISBN: (纸本)9781467327275

MISO is in the process of implementing Look Ahead Commitment (LAC) to bridge the gap between Reliability Assessment Commitment (RAC) and Real Time Security Constrained Economic Dispatch (RT-SCED) timeframes. This paper introduces two models in LAC pre-processing logic. The first one is anticipatory startup and shutdown model to account for resource megawatt output during resource startup and shutdown. The second one is an infeasibility identification model to identify data conflicts between state estimation, unit commitment plan and offered parameters. The goal of these two modules is to properly estimate non-dispatchable resource outputs and resolve infeasibility from input data so that LAC can achieve good mixed integer programming (MIP) solutions.

关键词： Ancillary services Co-optimization Dispatch and scheduling Reserve Unit commitment 1 mixed integer programming multiple-input single-output shellac lookahead Commitment MIP gene

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Economic feasibility analysis and operational testing of a community energy storage system

Economic feasibility analysis and operational testing of a c...

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IEEE Energy Conversion Congress and Exposition

作者： Ben Knueven Jim Ostrowski Ben Ollis Philip Irminger Michael Starke Andrew Herron Dan King Bailu Xiao Yaosuo Xue Peter Karlson Christine Labaza David Maxwell Seelan Thamibiappah Pablo Valencia Sebastien Massin Department of Industrial & Systems Engineering University of Tennessee Knoxville TN United States Power and Energy Systems Group Oak Ridge National Laboratory Oak Ridge TN United States General Motors Company Detroit MI United States ABB Group United States

ISBN: (纸本)9781509007387

A study of the impact of utility rates on the economic viability of Community Energy Storage (CES) is presented in this paper. Using the U.S. Utility Rate Database, the residential rate structures available at each available zip code in the continental United States were analyzed to see how viable CES is for that zip code. An operational CES hardware system was also tested to verify the results from economic analysis for the specific regions.

关键词： operational testing energy storage mixed integer programming economic analysis

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Virtual Cellular Multi-period Formation under the Dynamic Environment

Virtual Cellular Multi-period Formation under the Dynamic En...

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International Conference on Future Information Engineering(FIE 2014)

作者： Wenmin Han Fang Wang Jie Lv School of Economics and Management Jiangsu University of Science and Technology

Virtual cellular manufacturing is an innovative way of production organization which both in the production of flexibility and efficient to meet today's rapid development of science and technology and replacement of products. The key process of the design of virtual cellular manufacturing system—cell formation is the focus of research. In order to meet the characteristics of small batch and dynamically changing market demand, this paper studies the problems of virtual cellular multi-period dynamic reconfiguration. A reconfigurable system programming model is developed. The model incorporates parameters of the problems of product dynamic demand, machine capacity, operation sequence, balanced workload, alternative routings and batch setting. The objective of mixed integer programming model is to minimize the total costs of operation, moving raw materials, inventory holding and process routes setup. Though a case study, demonstrates the feasibility and validity of the model in reality.

关键词： virtual cellular manufacturing system design reconfigurable system modeling mixed integer programming

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Optimization of the Steering of the International Multi-services Roaming Traffic

Optimization of the Steering of the International Multi-serv...

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International Symposium on Personal, Indoor, and Mobile Radio Communications

作者： José J. Alves Esteves Guillaume Boulmier Matthieu Chardy Aurélien Bechler Orange Labs 40-48 avenue de la Republique Chatillon France

ISBN: (纸本)9781538660102

This paper focuses on the international wholesale roaming market and tackles the problem of optimizing the traffic steering strategies for a multinational telecommunications group composed of several subsidiaries. We prove this optimization problem to be NP-hard and propose a modeling framework based on mixed integer linear formulation. Numerical experiments, performed on pseudo real-life instances, assess the relevance of mathematical programming-based approaches to solve this problem and the financial benefit of optimized steering strategies.

关键词： Wholesale roaming market pricing models traffic steering mixed integer programming

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Mobile Robot Routing with Energy Consumption Optimization 19

Mobile Robot Routing with Energy Consumption Optimization

引用

Proceedings of the 5th International Conference on Robotics and Artificial Intelligence

作者： Shudong Liu Xiaoli Li Shili Xiang Min Wu Institute for Infocomm Research Singapore

ISBN: (纸本)9781450372350

We consider scheduling mobile robots which are used to carry materials for intelligent manufacturing. Battery-powered mobile robots transport materials from warehouse to a set of demand points, and their power varies during a trip as the weight of loads varies whenever unloading some materials at a demand point. In most of literature about vehicle routing problems, researchers only consider minimizing travel distance, without explicitly considering the effect of different loads on the energy consumption, which is critical for many real world applications. To address this problem, we develop an innovative mixed integer linear programming model for scheduling robots with energy consumption optimization. Numerical results show that our model can significantly reduce energy consumption with slightly increased traveling distance, comparing with the traditional routing models which just minimize the total travel distance. The model can also accurately predict the energy consumption of trips in serving demand points, hence increasing the reliability of scheduling and reducing the times of charging. The results demonstrate the importance of considering energy consumption in some scheduling problems where the weight variation of loads cannot be ignored. This optimization model can also be used in other areas, such as city logistics where vehicles are used to deliver goods to customers at different locations in a city.

关键词： mixed integer programming Energy optimization Mobile robot Industrial internet of things Vehicle routing problem Intelligent manufacturing

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Prolonging Wireless Sensor Network Lifetime by Optimal Utilization of Compressive Sensing

Prolonging Wireless Sensor Network Lifetime by Optimal Utili...

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IEEE Globecom Workshops

作者： Huseyin Ugur Yildiz Bulent Tavli TOBB University of Economics and Technology Ankara Turkey

ISBN: (纸本)9781467395274

In a typical Wireless Sensor Network (WSN) application, sensor nodes gather data from the environment and convey the collected data towards the base station. It is possible to perform certain signal processing operations on raw data on each sensor node before transmission so that the amount of transmitted data bits is reduced. The amount of transmitted data usually depends on how much processing is performed on each node. Less processing results in more data to be transmitted and vice versa. However, more complex computation operations dissipate more energy. Hence, utilization of signal processing operations should be evaluated carefully by considering both their computation costs and the amount of data reduction they achieve. It is also possible to employ different signal processing techniques at different nodes, hence, optimal assignment of signal processing algorithms can be assessed at the network-level (i.e., all nodes adopts a single signal processing technique during the entire lifetime) or at the node-level (i.e., allowing different nodes to implement different solutions during lifetime). In this study, we develop a novel mixed integer programming (MIP) framework to quantitatively investigate the effects of utilizing traditional transform coding (TC) based and compressive sensing (CS) based signal processing techniques (network-level and node-level) on WSN lifetime. We explore the parameter space consisting of network size, node density, and signal sparsity level through the numerical evaluations of the proposed novel MIP model.

关键词： compressive sensing wireless sensor networks energy efficiency network lifetime mixed integer programming

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