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international conference on European Electricity Market, EEM

作者： Alexander Arnoldt therese Klarner Sabine Ritter Oliver Warweg Energy Business and System Analysis Advanced System Technology Branch of Fraunhofer IOSB Ilmenau Germany

this paper presents an approach for the provision of minute reserve capacity products at the German minute reserve market provided by a pool of electric vehicles. therefore, the requirements of prequalification for market participation have been analyzed and examined with regard to electric vehicle pools. A mixed integer linear programming model has been developed. It ensures the provision and delivery of capacity products in an optimal way, whilst the electric vehicles charging demands are also ensured.

关键词： optimization Load modeling Schedules Mathematical model Plugs Electric vehicles Linear programming

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Advanced Energy Storage Management in Distribution Network 49

Advanced Energy Storage Management in Distribution Network

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49th Hawaii international conference on System Sciences (HICSS)

作者： Liu, Guodong Ceylan, Oguzhan Xiao, Bailu Starke, Michael Ollis, Ben King, Daniel Irminger, Philip Tomsovic, Kevin Oak Ridge Natl Lab Power & Energy Syst Grp Oak Ridge TN 37381 USA Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

ISBN: (纸本)9780769556703

With increasing penetration of distributed generation (DG) in the distribution networks (DN), the secure and optimal operation of DN has become an important concern. In this paper, an iterative mixed integer quadratic constrained quadratic programming model to optimize the operation of a three phase unbalanced distribution system with high penetration of Photovoltaic (PV) panels, DG and energy storage (ES) is developed. the proposed model minimizes not only the operating cost, including fuel cost and purchasing cost, but also voltage deviations and power loss. the optimization model is based on the linearized sensitivity coefficients between state variables (e.g., node voltages) and control variables (e.g., real and reactive power injections of DG and ES). To avoid slow convergence when close to the optimum, a golden search method is introduced to control the step size and accelerate the convergence. the proposed algorithm is demonstrated on modified IEEE 13 nodes test feeders with multiple PV panels, DG and ES. Numerical simulation results validate the proposed algorithm. Various scenarios of system configuration are studied and some critical findings are concluded.

关键词： Voltage regulation sensitivity coefficients linearization distributed generation (DG) multiobjective optimization unbalanced distribution network

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Discrete optimization models for solving complex products design problems 9th

Discrete optimization models for solving complex products de...

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9th international conference on Discrete optimization and Operations Research, DOOR 2016

作者： Kolokolov, Alexander Artemova, Alexandra Adelshin, Alexander Kan, Irina Sobolev Institute of Mathematics Omsk Branch Pevtsova str. 13 Omsk644043 Russia Omsk State Technical University Pr. Mira 11 Omsk644050 Russia Omsk State Institute of Service Pevtsova str. 13 Omsk644043 Russia

the development and research of discrete optimization models with logical, resource and other constraints to solve complex products design problems are continued in the article. these models are based on the SAT problem and its generalizations. Particular attention is paid to the questions of design of series of products using special sets of components ("kernels") that have been suggested by the authors and allow to expand the variety of output products in various production branches. the results of computational experiments that reflect the prospects of the approach are presented. Copyright © by the paper's authors.

关键词： integer programming

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optimization model for a microgrid with fuel cell vehicles

Optimization model for a microgrid with fuel cell vehicles

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IEEE international conference on Networking, Sensing and Control

作者： Kazuhiko Shinoda Esther Park Lee Masaru Nakano Zofia Lukszo Faculty of System Design and Management Keio University Kanagawa Japan Faculty of Technology University of Technology Delft The Netherlands

ISBN: (纸本)9781467399760

Vehicle-to-Grid and a microgrid are emerging concepts which are expected to replace the conventional energy and transportation systems with more efficient and flexible ones. there have been research on the integration of these technologies, but a microgrid with fuel cell vehicles (FCVs) have hardly been studied at the moment in spite of the several technical advantages of FCVs as generating units. this paper therefore presents the mathematical model of a microgrid which includes FCVs, on-site hydrogen stations, solar photovoltaic systems and a wind turbine. the optimal scheduling of hydrogen production, hydrogen refueling to FCVs and electricity supply from FCVs which minimizes the power imported from the main grid is obtained by solving a mixed integer linear programming problem. the computation results of a test case indicate that the model can be used for identifying a bottleneck in the energy flow of a microgrid. the presented model can be extended by including important factors to consider for further research on the integration of microgrids and FCVs.

关键词： Microgrids Hydrogen optimization Mathematical model Wind turbines Production Vehicles

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Multiobjective optimization for forward and Reverse Logistics Network Design in Rural Areas

Multiobjective Optimization for forward and Reverse Logistic...

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IEEE international conference on e-Business Engineering (ICEBE)

作者： Yufeng Zhuang Hang Zhao Chi Zhang School of Automation Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509061204

Nowadays, we're all familiar with the speed of e-commerce development, but we have to admit that logistics industry in rural areas is still in its infancy. As deficient rural logistics network has restricted the rural development to a certain extent, this research field becomes a hot topic. However, most existing papers on forward and reverse logistics network design were primarily concerned with minimizing the total cost, neglecting the time sensitivity. In this paper, we propose a rural forward and reverse logistics network mode of e-commerce platform and a multiobjective mixed-integer linear programming model for logistics network design. To solve the NP-hard problem of the model, the nondominated sorting genetic algorithm II (NSGA-II) has been used. At last, the model has been used to design forward and reverse rural logistics network in Pinggu district of Beijing as an example, and the result show that the model is efficient for establishing virtuous rural logistics network.

关键词： Agricultural products Sociology Statistics Reverse logistics Euclidean distance Rural areas

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Hybrid genetic algorithms for the capacitated P-median problem 13

Hybrid genetic algorithms for the capacitated P-median probl...

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13th international Symposium on Operational Research, SOR 2015

作者： Jánošíková, L'Udmila Haviar, Michal University of Žilina Faculty of Management Science and Informatics Univerzitná 1 Žilina010 26 Slovakia

ISBN: (纸本)9789616165457

the paper suggests several ways how to combine a genetic algorithm with integer programming to improve the quality of the problem solution. the motivation is that today's integer programming solvers are very sophisticated and efficient and they are worth utilizing in combination with metaheuristics to solve hard combinatorial optimization problems. the capacitated p-median problem is chosen as an example of such a problem that is intractable for an exact method and needs a heuristic or metaheuristic method, e.g. a genetic algorithm to get a near-optimal solution. A genetic algorithm can be combined with integer programming in such a way that the metaheuristics acts at a higher level and controls the calls to the solver. the solver can be used for: (i) fitness calculation, (ii) improving the best solution, and (iii) generating elite solutions. Several variants of the hybrid genetic algorithm are proposed and tested using benchmark instances.

关键词： integer programming

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Model and combinatorial optimization Methods for Tactical Planning in Closed-Loop Supply Chains

Model and Combinatorial Optimization Methods for Tactical Pl...

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international conference on Tools with Artificial Intelligence

作者： Pierre Desport Anne Liret Frederic Lardeux Carla Di Cairano-Gilfedder David Lesaint Gilbert Owusu LERIA Univ. d'Angers Angers France BT France France BT Group plc Ipswich UK

ISBN: (纸本)9781509044603

Distribution planning in closed-loop supply chains is concerned with determining transfer and repair operations based on demand forecasts and subject to backordering, inventory, transfer and repair constraints. We present a mixed-integer programming model and a dedicated metaheuristics for this problem and show it is is NP-hard. the model is applicable to a wide range of closed-loop supply chains with different network topologies and site functions and it can also support different planning strategies by means of a weighted objective function. Comparative experiments on pseudo-random instances built on a case study in telecommunication service operations demonstrate the effectiveness and scalability of the metaheuristics. Lastly, we discuss possible extensions to address common supply chain requirements, including the ability to produce robust plans in uncertain environments.

关键词： Maintenance engineering Planning Supply chains Electronic mail Topology Linear programming

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Aligning Multi-Cultural Knowledge Taxonomies by combinatorial optimization 24

Aligning Multi-Cultural Knowledge Taxonomies by Combinatoria...

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24th international conference on World Wide Web (WWW)

作者： Prytkova, Natalia Spaniol, Marc Weikum, Gerhard Max Planck Inst Informat Saarbrucken Germany Univ Caen Basse Normandie Caen France

ISBN: (纸本)9781450334730

Large collections of digital knowledge have become valuable assets for search and recommendation applications. the taxonomic type systems of such knowledge bases are often highly heterogeneous, as they reflect different cultures, languages, and intentions of usage. We present a novel method to the problem of multi-cultural knowledge alignment, which maps each node of a source taxonomy onto a ranked list of most suitable nodes in the target taxonomy. We model this task as combinatorial optimization problems, using integer linear programming and quadratic programming. the quality of the computed alignments is evaluated, using large heterogeneous taxonomies about book categories.

关键词： Multicultural Knowledge Taxonomies Alignment Methods integer Linear programming Quadratic programming

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Decomposition based hybrid metaheuristics

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2015年第1期244卷 66-76页

作者： Raidl, Guenther R. Vienna Univ Technol Inst Comp Graph & Algorithms A-1040 Vienna Austria

Difficult combinatorial optimization problems coming from practice are nowadays often approached by hybrid metaheuristics that combine principles of classical metaheuristic techniques with advanced methods from fields like mathematical programming, dynamic programming, and constraint programming. If designed appropriately, such hybrids frequently outperform simpler "pure" approaches as they are able to exploit the underlying methods' individual advantages and benefit from synergy. this article starts with a general review of design patterns for hybrid approaches that have been successful on many occasions. More complex practical problems frequently have some special structure that might be exploited. In the field of mixed integer linear programming, three decomposition techniques are particularly well known for taking advantage of special structures: Lagrangian decomposition, Dantzig-Wolfe decomposition (column generation), and Benders' decomposition. It has been recognized that these concepts may also provide a very fruitful basis for effective hybrid metaheuristics. We review the basic principles of these decomposition techniques and discuss for each promising possibilities for combinations with metaheuristics. the approaches are illustrated with successful examples from literature. (C) 2014 Elsevier B.V. All rights reserved.

关键词： combinatorial optimization Metaheuristics Mixed integer programming Hybrid optimization approaches Decomposition techniques

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Fast combinatorial Algorithm for Optimizing the Spread of Cascades 24

Fast Combinatorial Algorithm for Optimizing the Spread of Ca...

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1st international Workshop on Social Influence Analysis / 24th international Joint conference on Artificial Intelligence (IJCAI)

作者： Wu, Xiaojian Sheldon, Daniel Zilberstein, Shlomo Univ Massachusetts Coll Informat & Comp Sci Amherst MA 01003 USA

ISBN: (纸本)9781577357384

We address a spatial conservation planning problem in which the planner purchases a budget-constrained set of land parcels in order to maximize the expected spread of a population of an endangered species. Existing techniques based on the sample average approximation scheme and standard integer programming methods have high complexity and limited scalability. We propose a fast combinatorial optimization algorithm using Lagrangian relaxation and primal-dual techniques to solve the problem approximately. the algorithm provides a new way to address a range of conservation planning and scheduling problems. On the Red-cockaded Woodpecker data, our algorithm produces near optimal solutions and runs significantly faster than a standard mixed integer program solver. Compared with a greedy baseline, the solution quality is comparable or better, but our algorithm is 10-30 times faster. On synthetic problems that do not exhibit submodularity, our algorithm significantly outperforms the greedy baseline.

关键词： integer programming

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