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24th Wireless and Optical Communication Conference (WOCC)

作者： Wang, Chia-Hung Lee, Chia-Jung Chung, Wei-Ho Wu, Mu-En Fujian Univ Technol Coll Informat Sci & Engn Fuzhou Fujian Province Peoples R China Acad Sinica Res Ctr Informat Technol Innovat Taipei 115 Taiwan Soochow Univ Dept Math Taipei Taiwan

ISBN: (纸本)9781479988549

In this paper, we study an extension of atomic routing games for multi-class communication networks with quality of service requirements, which can be formulated as a network management scheme. Atomic routing games are noncooperative games with multiple selfish players, where each player has to choose a path in a given graph to route his traffic, and then pays the corresponding cost. We develop a mixed-integer nonlinear programming model for the network management scheme in this class-based communication network. The analysis of this work offers appropriate resource allocation and a routing database identifying suitable end-to-end paths upon each connection request.

关键词： atomic routing game end-to-end routing band-width allocation mixed-integer nonlinear programming

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Intersection Cuts for Factorable MINLP 20th

Intersection Cuts for Factorable MINLP

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20th International Conference on integer programming and Combinatorial Optimization (IPCO)

作者： Serrano, Felipe Zuse Inst Berlin Optimizat Dept Takustr 7 D-14195 Berlin Germany

ISBN: (纸本)9783030179533;9783030179526

Given a factorable function f, we propose a procedure that constructs a concave underestimator of f that is tight at a given point. These underestimators can be used to generate intersection cuts. A peculiarity of these underestimators is that they do not rely on a bounded domain. We propose a strengthening procedure for the intersection cuts that exploits the bounds of the domain. Finally, we propose an extension of monoidal strengthening to take advantage of the integrality of the non-basic variables.

关键词： mixed-integer nonlinear programming Intersection cuts Monoidal strengthening

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Decentralized AC Optimal Power Flow Problem Considering Prohibited Operating Zones

Decentralized AC Optimal Power Flow Problem Considering Proh...

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IEEE International Conference on Environment and Electrical Engineering (EEEIC) / IEEE Industrial and Commercial Power Systems Europe (I and CPS Europe) Conference

作者： Do Carmo Yamaguti, Lucas Home-Ortiz, Juan M. Pourakbari-Kasmaei, Mahdi Sanches Mantovani, Jose Roberto Sao Paulo State Univ Dept Elect Engn Ilha Solteira Brazil Aalto Univ Dept Elect Engn & Automat Espoo Finland

ISBN: (纸本)9781665485371

The Optimal Power Flow (OPF) problem is commonly formulated considering one central operator manager (centralized approach). However, in practice, the power system is structured by interconnected areas, controlled by several system operators, which are dependent on their neighbors and must exchange sensitive data with each other. In addition, some generation units must be restricted in some zones of operation to avoid negative operational effects. This paper proposes a mixed-integer nonlinear programming model to solve the decentralized AC-OPF considering prohibited operation zones (POZ). A matheuristic algorithm based on the variable neighborhood descent heuristic method is used to deal with the integer variables of the problem, while a non-linear optimization solver is used to solve the optimal power flow with continuous variables. The proposed model and solution technique are validated using the IEEE 118-bus system, ensuring that the decentralized model determines solutions close to the centralized model without and with POZ constraints.

关键词： Decentralized optimization matheuristic optimization mixed-integer nonlinear programming optimal power flow prohibited operating zones

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A VSM-Based DER Dispatch MINLP for Volt-VAR Control in Unbalanced Power Distribution Systems

A VSM-Based DER Dispatch MINLP for Volt-VAR Control in Unbal...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： McEntee, Catie Mulcahy, David Wang, Jiyu Zhu, Xiangqi Lu, Ning North Carolina State Univ Elect & Comp Engn Dept Raleigh NC 27695 USA

ISBN: (纸本)9781728119816

This paper presents an optimal dispatch algorithm to coordinate customer-owned controllable loads and smart solar inverters with utility-owned voltage regulators and capacitors to meet voltage control objectives. The optimization problem is formulated as a mixed-integer nonlinear programming (MINLP) problem. A voltage sensitivity matrix (VSM) is used to linearize the effect of control actions on the voltage at customer nodes when solving the MINLP. The VSM is recalculated at each time step to improve the computational accuracy. Both discrete switching actions of the capacitor and VRs and the continuous adjustment of real and reactive power from load and smart inverters are considered in the MINLP volt-var problem formulation. The objective function minimizes the cost of all control actions and the magnitude of voltage fluctuations from the previous time period. Constraints ensure that the voltage at each node is maintained within ANSI limits and the feeder power factor is controlled within the desired range. The algorithm is tested using an actual 3-phase unbalanced distribution feeder model. Simulation results demonstrate that the proposed algorithm is computationally feasible on real circuits and improves voltage control while minimizing operational costs.

关键词： Demand-Side Management mixed-integer nonlinear programming Power Distribution Reactive Power Control Voltage Control

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A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance

A Genetic Algorithm for Transmission Network Expansion Plann...

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IEEE Congress on Evolutionary Computation (CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)

作者： Mahdavi, Meisam Kheirkhah, Ali Reza Macedo, Leonardo H. Romero, Ruben Sao Paulo State Univ Dept Elect Engn Ilha Solteira SP Brazil

ISBN: (纸本)9781728169293

This paper proposes a decimal codification genetic algorithm to solve the transmission network expansion planning (TNEP) problem considering the economic impact of line maintenance. The goal is to extend the lifespan of the time-worn lines in order to reduce the investment cost in the expansion of the transmission network and to improve the worth of the transmission system. To assess the economic impact of the maintenance on the deterioration of transmission lines and transformers, the sum of years digit method is implemented. The proposed algorithm is evaluated using the IEEE reliability test system, and the assessment of the results shows that by including the effect of line maintenance on the TNEP problem, significant savings can be made in the overall cost of the system.

关键词： Decimal codification genetic algorithm lines' degradation maintenance mixed-integer nonlinear programming transmission network expansion planning

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Planning a Capacitated Road Network with Flexible Travel Times: A Genetic Algorithm

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Journal of Mathematical Modelling and Algorithms in Operations Research 2015年第4期14卷 425-451页

作者： Shiripour, Saber Mahdavi-Amiri, Nezam Mahdavi, Iraj Department of Industrial Engineering Mazandaran University of Science & Technology Babol Iran Faculty of Mathematical Sciences Sharif University of Technology Tehran Iran

We are concerned with a capacitated location-multi allocation-routing problem in a road network with flexible travel times. It is assumed that all links are two-way and capacities of the server nodes and arcs for accepting of population are limited. The aim of our work is to find numbers and locations of server nodes, allocation of the existing population in existing demand nodes on the network to the servers and the allocation of existing population in each node to different routes to determine the decided server for each member so that total transportation time is minimized. Here, two basic concepts are considered: multi allocation and flexible travel times. The concept of multi allocation arises from the possibility of allocating the existing population in a demand node to more than one server node. Also, flexible travel times concentrate on impact of traveling population on the times of links simultaneously, that is, depending on how the population is distributed on the network, the travel times on links may be increased. So, to have the least increase in the time of each link, it is necessary to decide upon the distribution of population in the network. We formulate the proposed problem as a mixed-integer nonlinear programming model and then present a genetic algorithm (GA) for solving large problems Finally, we make two sets of numerical experiments and analyze the obtained results by LINGO solver and GA. Numerical results show the proposed GA to be highly efficient. © 2015, Springer Science+Business Media Dordrecht.

关键词： Capacitated location-multi allocation-routing problem Flexible travel times Genetic algorithm mixed-integer nonlinear programming

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Electric Service Restoration using Microgrids

Electric Service Restoration using Microgrids

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IEEE PES General Meeting

作者： Ansari, Bananeh Mohagheghi, Salman Colorado Sch Mines Dept Elect Engn & Comp Sci Golden CO 80401 USA

ISBN: (纸本)9781479964154

A Microgrid-assisted methodology is proposed in this paper for electric service restoration in distribution networks. Success of restoration algorithms is closely tied with the availability of sufficient capacity on the restoration path(s). When the restoration path is at or near full capacity, some capacity relief may be achieved through the usage of Microgrids. By increasing the generation level of its micro-generators, reducing the demand of its demand responsive loads, or, as the last resort, by islanding from the grid, a Microgrid can help alleviate the congestion on the restoration path, and therefore assist the service restoration algorithm. The methodology put forth in this paper considers a potential restoration circuit equipped with Microgrids, and provides the most cost-effective operational solution while achieving the targeted restoration capacity. Network operational constraints, demand variations, and fluctuations in energy pricing are all taken into account. The problem is formulated as a mixed-integer nonlinear programming problem, and is implemented on a modified version of the IEEE 123-node test distribution system.

关键词： Distribution network electric service restoration demand response distributed energy resources Microgrid mixed-integer nonlinear programming

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Fuzzy chance constrained programming model for refinery short-term scheduling problem

Fuzzy chance constrained programming model for refinery shor...

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9th International Conference on Control, Automation, Robotics and Vision

作者： Cuiwen, C. Bin, J. Xingsheng, G. E China Univ Sci & Technol Res Inst Automat Shanghai Peoples R China Shanghai Dianji Univ Dept Elect Engn Shanghai Peoples R China

ISBN: (纸本)9781424403417

This paper develops a fuzzy chance constrained mixed-integer nonlinear programming (FCC-MINLP) model and the solution methods for refinery short-term crude oil scheduling problem under demands uncertainty. To reduce the calculation complexity of the model, it is transformed into its equivalent fuzzy chance constrained mixed-integer linear programming (FCC-MILP) model by using the method of Quesada & Grossmann [5]. After that the FCC-MILP model is solved through its crisp equivalent algorithm and fuzzy simulation algorithm rely on the theory presented by Liu & 1wamura [12][13] for the first time in this area. Finally, a case study which has 265 continuous variables, 68 binary variables and 318 constraints is effectively solved in LINGO 8.0 [8] with the proposed approaches.

关键词： crude oil short-term scheduling fuzzy chance constrained mixed-integer nonlinear programming

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Sailing Speed and Fleet Deployment Optimization for Intercontinental Container Liner Shipping Considering Cargo Time Value

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TRANSPORTATION JOURNAL 2020年第3期59卷 254-278页

作者： Xing, Yuwei Yang, Hualong Yang, Zaili Dalian Maritime Univ Dalian Peoples R China Liverpool John Moores Univ Liverpool Merseyside England

This article collectively addresses the issues of optimizing the sailing speed of containerships and fleet deployment in intercontinental container liner shipping, taking cargo time values into consideration. A mixed-integer nonlinear programming model is developed to maximize the gross profits of a container shipping line. The sailing speed is divided into 0.1 knot intervals and a reciprocal- discretization method is proposed to transform the model into an integer-based linear programming model, which can be solved using optimization solvers such as CPLEX. A case study is conducted based on the Far East-West America liner route of a global container shipping line to assess the effectiveness of the proposed model and the reciprocal- discretization method. The results show that when the cargo time value is taken into consideration, the increased sailing speed of containerships on long legs and the decreased number of deployed containerships will generate greater operating profits for the container shipping line. The rise in bunker price will lead to a stepwise decline in sailing speed of containerships and a stepwise growth in the number of deployed containerships. Moreover, the downward trend of sailing speed due to the increase of bunker price will be somewhat delayed as the unit container cargo value increases. Several useful insights are drawn from analysis of the results.

关键词： Cargo time value intercontinental container liner shipping sailing speed fleet deployment mixed-integer nonlinear programming maritime

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Validation of an Optimized Resilient Water Supply System 4th

Validation of an Optimized Resilient Water Supply System

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4th International Conference on Uncertainty in Mechanical Engineering, ICUME 2021

作者： Müller, Tim M. Schmitt, Andreas Leise, Philipp Meck, Tobias Altherr, Lena C. Pelz, Peter F. Pfetsch, Marc E. Chair of Fluid Systems Department of Mechanical Engineering TU Darmstadt Darmstadt Germany Discrete Optimization Group Department of Mathematics TU Darmstadt Darmstadt Germany Faculty of Energy Building Services and Environmental Engineering Münster University of Applied Sciences Münster Germany

ISBN: (纸本)9783030772550

Component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems. © 2021, The Author(s).

关键词： High-rise mixed-integer nonlinear programming Optimization Resilience Validation Water distribution system

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