检索结果-内蒙古大学图书馆

Optimal Bidding Strategies of Wind-Thermal Power Producers 7th

7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)

作者： Laia, R. Pousinho, H. M. I. Melicio, R. Mendes, V. M. F. Univ Lisbon Inst Super Tecn IDMEC LAETA Lisbon Portugal Univ Evora Escola Ciencias & Tecnol Dept Fis Evora Portugal Inst Super Engn Lisboa Lisbon Portugal

ISBN: (纸本)9783319311654;9783319311647

This paper addresses a stochastic mixed-integer linear programming model for solving the self-scheduling problem of a thermal and wind power producer acting in an electricity market. Uncertainty on market prices and on wind power is modelled via a scenarios set. The mathematical formulation of thermal units takes into account variable and start-up costs and operational constraints like: ramp up/down limits and minimum up/down time limits. A mixed-integer linear formulation is used to obtain the offering strategies of the coordinated production of thermal and wind energy generation, aiming the profit maximization. Finally, a case study is presented and results are discussed.

关键词： mixed-integer linear programming Stochastic optimization Wind-thermal coordination Offering strategies

来源：评论

学校读者我要写书评

暂无评论

Security of SM4 Against (Related-Key) Differential Cryptanalysis 1

引用

12th International Conference on Information Security Practice and Experience (ISPEC)

作者： Zhang, Jian Wu, Wenling Zheng, Yafei Chinese Acad Sci Inst Software Beijing 100190 Peoples R China State Key Lab Cryptol Beijing 100190 Peoples R China

ISBN: (数字)9783319491516

ISBN: (纸本)9783319491516;9783319491509

In this paper, we study the security of SM4 block cipher against (related-key) differential cryptanalysis by making use of the mixed integer linear programming (MILP) method. SM4 is the first commercial block cipher standard of China, which attracts lots of attentions in cryptography. To analyze the security of SM4 against differential attack, we exploit a highly automatic MILP method to determine the minimum number of active S-boxes for consecutive rounds of SM4. We try to dig out the underlying relationships in different rounds, and convert them to the constraints trickily to extend the MILP model, in order to cut off the invalid differential modes as many as possible. We obtain tighter lower bounds on the number of active S-boxes by solving the extended MILP model with optimizer Gurobi. Moreover, we consider the security of SM4 against related-key differential analysis. We construct the extended MILP model by adding more helpful constraints, and get the lower bounds on the number of active S-boxes, which proves the intuition of stronger differential security of SM4 in the related-key setting. Our results shows that there exists no differential characteristic with probability larger than 2-128 for 23 rounds of SM4 in the single-key setting and 19 rounds in the related-key setting.

关键词： Block cipher SM4 Differential attack Active S-box Related-key differential attack mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

mixed integer linear programming based thermal unit commitment problem in deregulated environment

引用

JOURNAL OF ELECTRICAL SYSTEMS 2010年第4期6卷 466-479页

作者： Bisanovic, Smajo Hajro, Mensur Dlakic, Muris PE Elektroprivreda Bosnia & Herzegovina Vilsonovo Setaliste 15 Sarajevo 71000 Bosnia & Herceg Univ Sarajevo Fac Elect Engn Sarajevo 71000 Bosnia & Herceg

This paper addresses the self-scheduling problem of determining the unit commitment status for power generation companies before submitting the hourly bids In a day-ahead market. The thermal unfit commitment model Is formulated as a deterministic optimization problem where expected profit is maximized using the 0/1 mixed-integer linear programming technique. This approach allows precise modelling of non-convex variable cost, nonlinear start-up cost, ramp rate limits and minimum up and down time constraints for thermal units. Model Incorporates long-term bilateral contracts with contracted power and price patterns, as well as forecasted market hourly prices for day-ahead auction. Solution is achieved using the homogeneous and self-dual interior point method for linear programming as state of the art technique, with a branch and bound optimizer for integer programming. The effectiveness of the proposed model optimizing the thermal generation schedule Is demonstrated through the case study with detailed discussion.

关键词： Electricity spot market bilateral contracts thermal unit commitment mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Minimization of Power Usage in a Compressor Station with Multiple Compressors

引用

JOURNAL OF ENERGY ENGINEERING 2016年第4期142卷 04015048-04015048页

作者： Deng, Tianhu Tsinghua Univ Dept Ind Engn Beijing 100084 Peoples R China

In natural-gas transmission, a compressor station often consists of multiple types of compressors. For any given suction pressure, discharge pressure, and total mass flow, an operation manager needs to decide the set of compressors to work, the rotation speed of each working compressor, and the natural-gas flow allocation among all the working compressors. In this paper, two solution approaches are investigated and compared: mixed-integer linear programming and dynamic programming. Both approaches require the discretization of actual volumetric flow. Numerical results reveal that when the discrete interval is 0.1m3/s, dynamic programming takes less computation time than mixed-integer linear programming does. However, this order is reversed when the discrete interval is 0.01 or 0.001m3/s.

关键词： Natural gas Compressor power minimization Dynamic programming mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Efficient Optimization of Post-Disaster Reconstruction of Transportation Networks

引用

JOURNAL OF COMPUTING IN CIVIL ENGINEERING 2016年第3期30卷 04015047-04015047页

作者： El-Anwar, Omar Ye, Jin Orabi, Wallied Univ Washington Dept Construct Management Seattle WA 98195 USA Cairo Univ Dept Struct Engn Giza 12316 Egypt Univ Washington Dept Ind & Syst Engn Seattle WA 98195 USA Florida Int Univ OHL Sch Construct Miami FL 33174 USA

Catastrophes, such as hurricanes, earthquakes, and tsunamis often cause large-scale damage to transportation systems. In the aftermath of these disasters, there is a present challenge to quickly analyze various reconstruction plans and assess their impacts on restoring transportation services. This paper presents a new methodology for optimizing post-disaster reconstruction plans for transportation networks with superior computational efficiency employing mixed-integer linear programming (MILP). The model is capable of optimizing transportation recovery projects prioritization and contractors assignment in order to simultaneously: (1)accelerate networks recovery;and (2)minimize public expenditures. The full methodology is presented in two companion publications, where the focus of this paper is to propose new methods for (1)decomposing traffic analysis;(2)assessing the traffic and cost performance of reconstruction plans;(3)reducing the massive solution search space;and (4)phasing the use of mixed-integer linear programming to optimize the problem. An illustrative example is presented throughout the paper to demonstrate the implementation phases. (C) 2015 American Society of Civil Engineers.

关键词： Transportation network reconstruction Post-disaster recovery Multi-objective optimization mixed-integer linear programming Computational cost Traffic analysis Contractors assignment Search space

来源：评论

学校读者我要写书评

暂无评论

Modelling Minimum Pressure Height in Short-term Hydropower Production Planning

引用

Energy Procedia 2016年 87卷 69-76页

作者： Frederic B. Dorn Hossein Farahmand Hans Ivar Skjelbred Michael M. Belsnes SINTEF Energy Research Trondheim Norway

When planning the production for certain hydropower plants, minimum pressure is one of the major critical points. Violation of the minimum pressure causes the power plant to automatically shut down, hence violating the obligations of the plant. Automatic pressure switches and pressure constraints are difficult to model in particular when embedded in a complex water way. This problem is expected to increase when retrofitting hydro installations with new parallel units and increased exploitation of inflow resources. From a scheduling point of view, however, such switches become hard to integrate in an optimal operation plan as the constraint depends on the system state. This paper introduces a novelty in short-term production planning, namely a solution for modelling minimum pressure height in regulated watercourses when optimizing the energy production of hydropower plants. This solution is integrated in the short-term hydropower scheduling tool SHOP. The tool finds an optimal strategy to run a power station with such minimum pressure restrictions and the state dependent topological couplings within the water system. We apply the model on a complex topology, the Sira-Kvina water system, where Norway's largest hydropower station Tonstad Kraftstajon is operationally subject to this rigorous pressure constraint. First, in order to illustrate the concepts of the model, we apply the model on a simplified water course including one reservoir. Next, the outcome and tests are demonstrated on the final model of two reservoirs whose respective outflows are joining together above the pressure gauge, as found in the Sira-Kvina water system.

关键词： Hydropower scheduling optimization mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Innovative linear Formulation for Transportation Reconstruction Planning

引用

JOURNAL OF COMPUTING IN CIVIL ENGINEERING 2016年第3期30卷 04015048-04015048页

Following disasters, the pace of restoring transportation networks can have a significant impact on economic and societal recovery. However, reconstruction and repair efforts are typically faced by budget constraints that require careful selection among competing contractors. This paper presents an innovative formulation to optimize this complex planning problem in order to maximize the rate of transportation network recovery while minimizing the associated reconstruction costs. This study first contributes to the body of knowledge by offering an effective and efficient means of identifying the optimal schedules for reconstruction projects and the optimal contractor assignments. This is achieved by solving the problem using a new mixed-integer linear programming model. However, there are four main formulation challenges to represent this problem using linear equations because of the need to use logical operators. As such, the second contribution of this study is in offering innovative solutions to overcome these formulation challenges, which are generalizable to other construction scheduling and planning problems. This paper is companion to another paper that describes a holistic optimization and traffic assessment methodology for post-disaster reconstruction planning for damaged transportation networks. (C) 2015 American Society of Civil Engineers.

关键词： Transportation network reconstruction Post-disaster recovery Multi-objective optimization mixed-integer linear programming Contractors assignment linear formulation Reconstruction costs

来源：评论

学校读者我要写书评

暂无评论

Hub-and-spoke network design for container shipping along the Yangtze River

引用

Journal of Transport Geography 2016年 55卷 51-57页

作者： Jianfeng Zheng Dong Yang Transportation Management College Dalian Maritime University Dalian 116026 China Department of Logistics & Maritime Studies Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

Increasingly large, high-tonnage containerships are becoming a common sight on the Yangtze River, and the shipping network is being transformed accordingly. This paper reports the design of a hub-and-spoke network for a shipping company that is consistent with the characteristics of the Yangtze River. We first explore the economies of scale for container shipping by applying empirical data. Next, we propose a mixed-integer linear programming model, factoring in ship-operating and container-handling costs. We then conduct a numerical experiment and test the effectiveness of the model, and finally discuss the implications of hub-and-spoke shipping network design. The findings reported herein support the trends toward cargo concentration and port regionalization along the Yangtze River.

关键词： Inland river shipping Hub-and-spoke network design mixed-integer linear programming Cargo concentration and port regionalization

来源：评论

学校读者我要写书评

暂无评论

A Smart Pool Search Matheuristic for Solving a Multi-objective Microgrid Storage Planning Problem

引用

Energy Procedia 2016年 103卷 292-297页

作者： Vitor N. Coelho Igor M. Coelho Bruno N. Coelho Marcone J.F. Souza Haroldo Gambini N. Mladenović Frederico G. Guimarães Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Instituto de Pesquisa e Desenvolvimento de Tecnologias Ouro Preto Brazil Department of Computer Science State University of Rio de Janeiro Rio de Janeiro Brazil Department of Computer Science Universidade Federal de Ouro Preto Ouro Preto Brazil Mathematical Institute Serbian Academy of Science and Arts Serbia LAMIH Université de Valenciennes et du Hainaut Cambrésis Valenciennes France Department of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

In this paper, a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units is considered. The problem involves several PEVs and a microgrid community, composed of small houses, residential areas, and different Renewable Energy Resources. Three different objectives are considered: microgrid total costs; usage of PEV batteries and maximum grid peak load. In order to find sets of non-dominated solutions, a matheuristic black box solves several mixed integer linear programming (MILP) subproblems. We improve a previously developed MILP model and design a new multi-objective matheuristic including new problem initialization mechanisms.

关键词： Microgrids Power dispatching Energy storage management Matheuristic mixed-integer linear programming Multi-objetive optimization

来源：评论

学校读者我要写书评

暂无评论

Resource-constrained maximum network throughput on space networks

引用

Journal of Systems Engineering and Electronics 2015年第2期26卷 215-223页

作者： Yanling Xing Ning Ge Youzheng Wang Department of Electronic Engineering Tsinghua University Research Institute of Tsinghua University in Shenzhen Department of Aeronautics and Astronautics Engineering Tsinghua University

This paper investigates the maximum network through- put for resource-constrained space networks based on the delay and disruption-tolerant networking （DTN） architecture. Specifically, this paper proposes a methodology for calculating the maximum network throughput of multiple transmission tasks under storage and delay constraints over a space network. A mixed-integer linear programming （MILP） is formulated to solve this problem. Simula- tions results show that the proposed methodology can successfully calculate the optimal throughput of a space network under storage and delay constraints, as well as a clear, monotonic relationship between end-to-end delay and the maximum network throughput under storage constraints. At the same time, the optimization re- sults shine light on the routing and transport protocol design in space communication, which can be used to obtain the optimal network throughput.

关键词： throughput disruption-tolerant networking(DTN) maximum flow mixed-integer linear programming evolving graph space network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：