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International Universities Power Engineering Conference

作者： Zechun Hu Yonghua Song Department of Electrical Engineering Tsinghua University

ISBN: (纸本)9781467328548

The investment of connecting charging stations into distribution networks should be considered in the optimal planning of charging stations for electric vehicles (EVs). This paper proposes a mathematical model for multistage distribution network expansion planning taking optimal siting and sizing of EV charging stations into account. In the proposed model, the capacity of existing substations can be increased, existing network feeders can be replaced with wider section feeders, new feeders and new charging stations can be built. Network security constraints are considered. A new constraint is formulated to guarantee the topology of the obtained distribution network is radial. Numerical results indicate that the proposed method can allocate charging capacity among candidate charging station sites optimally, and the total investment and operating cost of the distribution network is reduced.

关键词： Charging Station Distribution Network Electric Vehicle Expansion Planning mixed integer linear programming

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A Shared Incumbent Environment for the Minimum Power Broadcasting Problem in Wireless Networks

A Shared Incumbent Environment for the Minimum Power Broadca...

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2012 International Conference on Information and Computer Networks (ICICN 2012)

作者： N.E.Toklu R.Montemanni G.Di Caro L.M.Gambardella Istituto Dalle Molle di Studi sull’Intelligenza Artificiale （IDSIA） Galleria 2 CH-6928 Manno Switzerland

In this study, we consider the minimum power broadcasting problem in wireless actuator networks. We attack the problem with a method-the shared incumbent environment-that executes two algorithms in parallel: a mathematical programming approach and a simulated annealing approach. According to the shared incumbent environment paradigm, when an incumbent solution is found by one method, the other method is notified and profits from the information received. Experimental results show that the shared incumbent environment lead to results which are better than those of the two algorithms combined in it taken singularly.

关键词： Shared incumbent environment mixed integer linear programming simulated annealing matheuristics minimum power broadcast wireless networks.

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Optimal Storage Capacity within an Autonomous Micro Grid with a high Penetration of Renewable Energy Sources

Optimal Storage Capacity within an Autonomous Micro Grid wit...

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IEEE PES Innovative Smart Grid Technologies Europe

作者： P. Lombardi T. Sokolnikova K. V. Suslov Z. Styczynski Fraunhofer Institute for Factory Operation and Automation IFF Department of Power Supply and Electrical Engineering of Irkutsk State Technical University (ISTU) Otto-von-Guericke-University Magdeburg

ISBN: (纸本)9781467325950

Some Renewable Energy Sources (RES), such as wind and solar, produce power intermittently according to the weather conditions rather than to the power demanded. Energy Storage Systems (ESS) may be used to mitigate the intermittent generation from RES and to increase the quality of power supply. This study aims to find the relationship between the generation from RES and the needed amount of ESS. An autonomous microgrid has been analyzed in which a part of electricity demanded during one year is generated by Wind Turbines and Photovoltaic plants (PV), while the remaining part is produced by fuel based generators. An intelligent Energy Management System (EMS) optimally schedules the fuel based generators according to the load demanded, the weather conditions and to the electricity generation costs. The optimal storage needed to balance the system for different scenarios were investigated and results of this investigation are shown and discussed in this paper.

关键词： Autonomous microgrid Energy storage systems mixed integer linear programming Renewable energy sources Smart grid

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Link Allocation, Routing and Scheduling of FSO Augmented RF Wireless Mesh Networks

Link Allocation, Routing and Scheduling of FSO Augmented RF ...

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IEEE International Conference on Communications

作者： Yi Tang Maite Brandt-Pearce Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781457720529

Wireless Mesh Networks (WMNs) are designed to provide broadband wireless services;however, capacities of WMNs are fundamentally limited in bandwidth because of the scarcity of RF spectral resources. A solution is to design a WMN using multiple wireless technologies. Since the optical spectrum remains unlicensed and under-utilized, we propose to augment RF WMNs with free space optical (FSO) systems. FSO links do not interfere with RF links and have higher capacity than RF links. In this paper, we study the throughput improvement of FSO-augmented RF WMNs. We address two questions. First, given a fixed number of FSO links, where should we install them to achieve the maximum improvement of network throughput for given traffic demands? Second, how do we route and schedule the flows in the hybrid FSO/RF network to achieve this throughput? We jointly formulate the above problems as one mixed integer linear programming problem. The results show that the throughput of the network increases dramatically by properly allocating FSO links. We also provide a computationally efficient algorithm to evaluate upper and lower bounds on the throughput of this hybrid FSO/RF network. The network administrator can use these bounds to determine the tradeoff between the number of FSO links (which are expensive) and the throughput improvement.

关键词： Throughput radiofrequency Wireless mesh networks network administrator Wireless Technology Network throughput HIGH CAPACITY efficient algorithm mixed integer linear programming

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Design of Green Optical Networks with Signal Quality Guarantee

Design of Green Optical Networks with Signal Quality Guarant...

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IEEE International Conference on Communications

作者： Cicek Cavdar Marc Ruiz Paolo Monti Luis Velasco Lena Wosinska Royal Institute of Technology (KTH) Universitat Politecnica de Catalunya (UPC)

ISBN: (纸本)9781457720529

Energy consumption of communication networks is growing very fast due to the rapidly increasing traffic demand. Consequently, design of green communication networks gained a lot of attention. In this paper we focus on optical Wavelength Division Multiplexing (WDM) networks, able to support this growing traffic demand. Several energy-aware routing and wavelength assignment (EA-RWA) techniques have been proposed for WDM networks in order to minimize their operational cost. These techniques aim at minimizing the number of active links by packing the traffic as much as possible, thus avoiding the use of lightly loaded links. As a result, EA-RWA techniques may lead to longer routes and to a high utilization on some specific links. This has a detrimental effect on the signal quality of the optical connections, i.e., lightpaths. In this study we quantify the impact of power consumption minimization on the optical signal quality. and address this problem by proposing a combined impairment and energy-aware RWA (IEA-RWA) approach. Towards this goal we developed a complete mathematical model that incorporates both linear and non-linear physical impairments together with an energy efficiency objective. The IEA-RWA problem is formulized as a mixed integer linear programming (MILP) model where both energy efficiency and signal quality considerations are jointly optimized. By comparing the proposed IEA-RWA approach with existing RWA (IA-RWA and EA-RWA) schemes, we demonstrate that our solution allows for a reduction of energy consumption close to the one obtained by EA-RWA approaches, while still guaranteeing a sufficient level of the optical signal quality.

关键词： Physical Impairments Energy-efficient networks Optical WDM networks Signal quality energy consumption networks(communications) wavelength division multiplexing network Energy efficiency Travel demand Fiber optic networks Telecommunications optical signals Mathematical Model Power consumption mixed integer linear programming

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A mixed-integer linear programming model for bulk grain blending and shipping

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INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2007年第2期107卷 555-571页

作者： Bilgen, Bilge Ozkarahan, Irem Dokuz Eylul Univ Dept Ind Engn TR-35100 Izmir Turkey

This paper addresses a blending and shipping problem faced by a company that manages a wheat supply chain. The problem involves the delivery of bulk products from loading ports to destination ports, which may be served by different vessel types. Since the products demanded by customers are mainly exported in bulk to overseas customers, the shipment planning is of great economic importance. The problem is formulated as a mixed-integer linear programming model. The objective function seeks to minimize the total cost including the blending, loading, transportation and inventory costs. Constraints on the system include blending and demand requirements, availability of original and blended products;as well as blending, loading, draft and vessel capacity restrictions. When solved, the model produces: (1) the quantity of each original product to be used to make blended products, (2) the quantity of each product to be loaded at each port and to be transported from each port to each customer, and (3) the number of vessels of each type to be hired in each time period. Numerical results are presented to demonstrate the feasibility of the real world bulk grain blending and shipping model. (C) 2006 Elsevier B.V. All rights reserved.

关键词： distribution planning blending maritime transportation supply chain management mixed integer linear programming

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Platform for Coordination of Energy Generation and Consumption in Residential Neighborhoods

Platform for Coordination of Energy Generation and Consumpti...

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IEEE PES Innovative Smart Grid Technologies Europe

作者： Vladimir Bicik Ondrej Holub Karel Marik Marek Sikora Petr Stluka Reinhilde D'hulst Department of Computer Science FIT Czech Technical University Honeywell Prague Laboratory VITO NV

ISBN: (纸本)9781467325950

This article presents a platform, which aims at energy savings in residential neighborhoods via coordination of energy generation and consumption. The platform includes hardware infrastructure and service oriented information system. While an overview of the platform is given, the energy management services are described in more detail. Assessment of platform robustness, flexibility and scalability is provided and demonstrated on examples.

关键词： Generation to Consumption Matching mixed integer linear programming Residential Neighborhoods Service Oriented Architecture

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An adaptive feature selection method for multi-class classification

An adaptive feature selection method for multi-class classif...

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International Conference on Information Fusion

作者： Xin Xu Wei Wang Guilin Zhang Yongsheng Yu Science and Technology on Information System Engineering Laboratory Nanjing China Nanjing Institute of ZTE Corporation Nanjing China

A vast variety of feature selection methods have been proposed according to different metrics, such as information gain, entropy, chi-square test, t-test. Yet when applied to multi-class classification task, these methods generally suffer the “siren pitfall” of a surplus of predictive features for some classes while lack of predictive features for the remaining classes. A number of solutions to the “siren pitfall” have been proposed, yet there are still problems with these methods. For example, the selected features by “randomized feature set” method are not re-configurable; the “rand-robin” method and the “round-robin” method may miss some important features whenever the one v.s. others binary partition does not work; the computation cost of the wrapper's method is rather high. In this paper, we propose an adaptive feature selection method for multi-class classification task. With our method, the “siren pitfall” could be avoided, the selected features could be reproduced, the feature selection scheme does not rely on any prior knowledge, and the corresponding computation cost is low. Experimental results indicate the effectiveness of our adaptive feature selection method.

关键词： Encoding Computational efficiency Error analysis Measurement mixed integer linear programming Algorithms Lenses

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Optimal Generator Start-Up Strategy for Bulk Power System Restoration

Optimal Generator Start-Up Strategy for Bulk Power System Re...

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IEEE Power and Energy Society General Meeting

作者： Wei Sun Chen-Ching Liu Li Zhang Alstom Grid Washington State University American Electric Power

ISBN: (纸本)9781467327275

During system restoration, it is critical to utilize the available black-start (BS) units to provide cranking power to non-black-start (NBS) units in such a way that the overall system generation capability will be maximized. The corresponding optimization problem is combinatorial with complex practical constraints that can vary with time. This paper provides a new formulation of generator start-up sequencing as a mixed integer linear programming (MILP) problem. The linear formulation leads to an optimal solution to this important problem that clearly outperforms heuristic or enumerative techniques in quality of solutions or computational speed. The proposed generator start-up strategy is intended to provide an initial starting sequence of all BS or NBS units. The method can provide updates on the system MW generation capability as the restoration process progresses. The IEEE 39-Bus system, American Electric Power (AEP), and Entergy test cases are used for validation of the generation capability optimization. Simulation results demonstrate that the proposed MILP-based generator start-up sequencing algorithm is highly efficient.

关键词： Optimal Generator Start-Up dynamos Generator bulk power system Bahamas restoration optimal solution Heuristics mixed integer linear programming

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A MILP Approach for Designing Robust Variable-Length Codes Based on Exact Free Distance Computation

A MILP Approach for Designing Robust Variable-Length Codes B...

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Data Compression Conference (DCC)

作者： Hassan Hijazi Amadou Diallo Michel Kieffer Leo Liberti Claudio Weidmann LIX-Laboratoire dInformatique École Polytechnique Palaiseau France L2S-CNRS-SUPELEC University Paris Sud Gif-sur-Yvette France LTCI-CNRS Telecom ParisTech Paris France ETIS-CNRS UMR 8051-ENSEA University of Cergy-Pontoise Cergy-Pontoise France

This paper addresses the design of joint source-channel variable-length codes with maximal free distance for given codeword lengths. While previous design methods are mainly based on bounds on the free distance of the code, the proposed algorithm exploits an exact characterization of the free distance. The code optimization is cast in the framework of mixed-integer linear programming and allows to tackle practical alphabet sizes in reasonable computing time.

关键词： Vectors Robustness Redundancy Error correction codes mixed integer linear programming Hamming distance Joints

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