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Power Reduction in FM Networks by mixed-integer programming: A Case Study

IEEE ACCESS 2024年 12卷 23725-23732页

作者： Avella, Pasquale Nobili, Paolo Sassano, Antonio Univ Sannio Dipartimento Ingn I-82100 Benevento Italy Univ Tuscia DAFNE I-01100 Viterbo Italy Sapienza Univ Roma Dipartimento Ingn Informat Automat & Gestionale DI I-00185 Rome Italy

The climate change emergency calls for a reduction in energy consumption in all human activities and production processes. The radio broadcasting industry is no exception. However, reducing energy requirements by uniformly cutting the radiated power at every transmitter can potentially impair the quality of service. A careful evaluation and optimization study are in order. In this paper, by analyzing the Italian frequency modulation analog broadcasting service, we show that it is indeed possible to significantly reduce the energy consumption of the broadcasters without sacrificing the quality of the service, rather, even getting improvements.

关键词： Climate change Energy consumption mixed integer linear programming Power system management Energy conservation Optimization methods Power system reliability Power system measurements Human factors Quality of service Broadcasting Broadcast networks FM power reduction mixed-integer programming

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Combining Geographic Information Systems for Transportation and mixed integer linear programming in Facility Location-Allocation Problems

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Journal of Software Engineering and Applications 2014年第10期7卷 844-858页

作者： Silvia Maria Santana Mapa Renato da Silva Lima Federal Office for Education Science and Technology of Minas GeraisCongonhasBrazil Federal University of Itajuba Industrial Engineering and Management InstituteItajubáBrazil

In this study, we aimed to assess the solution quality for location-allocation problems from facilities generated by the software TransCAD®?, a Geographic Information System for Transportation (GIS-T). Such facilities were obtained after using two routines together: Facility Location and Transportation Problem, when compared with optimal solutions from exact mathematical models, based on mixed integer linear programming (MILP), developed externally for the GIS. The models were applied to three simulations: the first one proposes opening factories and customer allocation in the state of Sao Paulo, Brazil;the second involves a wholesaler and a study of location and allocation of distribution centres for retail customers;and the third one involves the location of day-care centers and allocation of demand (0 - 3 years old children). The results showed that when considering facility capacity, the MILP optimising model presents results up to 37% better than the GIS and proposes different locations to open new facilities.

关键词： Geographic Information Systems for Transportation Location-Allocation Problems mixed integer linear programming Transportation TransCAD^(█)

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Cost Optimization of Combined Building Heating/Cooling Equipment via mixed-integer linear programming

Cost Optimization of Combined Building Heating/Cooling Equip...

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American Control Conference

作者： Michael J. Risbeck Christos T. Maravelias James B. Rawlings Robert D. Turney University of Wisconsin-Madison Johnson Controls Milwaukee WI

ISBN: (纸本)9781479917730

In this paper, we propose a mixed-integer linear program to economically optimize equipment usage in a central heating/cooling plant subject to time-of-use and demand charges for utilities. The optimization makes both discrete on/off and continuous load decisions for equipment while determining utilization of thermal energy storage systems. This formulation allows simultaneous optimization of heating and cooling subsystems, which interact directly when heat-recovery chillers are present. Nonlinear equipment models are approximated as piecewise-linear to balance modeling accuracy with the computational constraints imposed by online implementation and to ensure global optimality for the computed solutions. The chief benefits of this formulation are its ability to tightly control on/off switching of equipment, its consideration of cost contributions from auxiliary equipment such as pumps, and its applicability to large systems with multiple heating and cooling units in which a combinatorial problem must be solved to pick the optimal mix of equipment. These features result in improved performance over heuristic scheduling rules or other formulations that do not consider discrete decision variables. We show optimization results for a system with four conventional chillers, two heat-recovery chillers, and one hot water boiler. With a timestep of 1 h and a horizon of 48 h, the optimization problem can be solved to optimality within 5 minutes, indicating suitability for online implementation.

关键词： EQUIPMENT CHILLER mixed integer linear programming Demand Charges Auxiliary equipment optimality Pumps

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A mixed-integer programming model for an integrated production planning problem with preventive maintenance in the pulp and paper industry

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ENGINEERING OPTIMIZATION 2023年第8期55卷 1352-1369页

作者： Aviles, Francisco N. Etchepare, Renato Maynard Aguayo, Maichel M. Valenzuela, Mario Univ San Sebastian Fac Ingn Arquitectura & Diseno Lientur 1457 Concepcion 4080871 Chile

Production planning and scheduling in the pulp and paper industry can be very challenging. In most cases, practitioners address the production planning process manually, which is time-consuming and sub-optimal. This study deals with production planning encountered in a pulp mill company involving different wood species, parallel heterogeneous lines, inventory limits, sequence-independent setup times and preventive maintenance. To tackle the problem, an efficient mixed-integer formulation is proposed that optimizes when, where and how much to produce of different wood species and schedules preventive maintenance to minimize the total setup times. Several computational experiments are conducted to solve a case study in a pulp mill company in Chile. The results show the capability of the model to support the decision-making process in the pulp and paper industry, providing an efficient tool for practitioners to solve the problem in a reasonable amount of time.

关键词： Production planning preventive maintenance pulp and paper industry mixed integer linear programming lot-sizing

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Thyristor-Controlled Switch Capacitor Placement in Large-Scale Power Systems via mixed integer linear programming and Taylor Series Expansion

Thyristor-Controlled Switch Capacitor Placement in Large-Sca...

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IEEE Power and Energy Society General Meeting

作者： Omid Ziaee F. Fred Choobineh University of Nebraska-Lincoln Dept. of Electrical Engineering Lincoln

ISBN: (纸本)9781479964161

Allocation of flexible alternating current transmission system (FACTS) devices to an electric power transmission network may be formulated as a nonlinear mathematical program. Solving such a nonlinear program for a large transmission network is computationally very expensive, and obtaining the optimal solution may be impossible. We present a Taylor series expansion approximation of the nonlinearities of the problem and propose a mixed integer linear program (MILP) for finding the optimum location and proper settings of a Thyristor-Controlled Series Capacitor (TCSC) in an electric power network. The objective of this problem is to minimize total generation cost based on the DC load flow model. The proposed method is implemented for the 118-bus IEEE test case and the results are discussed.

关键词： Flexible AC Transmission System DC optimal power flow mixed integer linear programming Taylor series expansion Generation cost

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A mixed integer linear programming approach for design space exploration in FPGA-based MPSoC

A mixed integer linear programming approach for design space...

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International Conference on Field Programmable Logic and Applications

作者： Bouthaina Dammak Rachid Benmansour Smail Niar Mouna Baklouti Mohamed Abid LAMIH University of Valenciennes Valenciennes France National School of Engineers of Sfax Sfax Tunisia

Heterogeneous Multiprocessor System-on-Chip (Ht-MPSoC) architectures represent a promising approach as they allow a higher performance/energy consumption trade-off. In such systems, the processor instruction set is enhanced by application-specific custom instructions implemented on reconfigurable fabrics, namely FPGA. To increase area utilization and guarantee application constraint respect, we propose a new architecture where Ht-MPSoC hardware accelerators are shared among different processors in an intelligent manner. In this paper, a mixed integer linear programming (MILP) model is proposed to systematically explore the complex design space of the different configurations.

关键词： Hardware Computer architecture Space exploration Acceleration mixed integer linear programming Field programmable gate arrays linear accelerators

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The Dispatching Problem on Multitrack Territories: Heuristic Approaches Based on mixed integer linear programming

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NETWORKS 2013年第4期62卷 315-326页

作者： Boccia, Maurizio Mannino, Carlo Vasilyev, Igor Russian Acad Sci Siberian Branch Inst Syst Dynam & Control Theory Moscow 117901 Russia Univ Sannio Benevento Italy

Trains running through railway lines often accumulate some delay. When this happens, rescheduling and rerouting decisions must be quickly taken in real time. Despite the fact that even a single wrong decision may deteriorate the performance of the whole railway network, this complex optimization task is still basically performed by human operators. In very recent years, the interest of train operators to implement automated decision systems has grown. Not incidentally, the railway application section (RAS) of INFORMS has issued a challenge devoted to this problem concomitantly with the INFORMS Annual Meeting 2012. In this article, we describe two heuristic approaches to solve the RAS problem based on a mixed integer linear programming formulation, and we report computational results on the three RAS instances and on an additional set of instances defined on a more congested network. Computational results on the challenge test bed show that our algorithms positively compare with other approaches to the RAS problem. (c) 2013 Wiley Periodicals, Inc. NETWORKS, Vol. 62(4), 315-326 2013

关键词： Dispatching problem mixed integer linear programming

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On the global solution of multi-parametric mixed integer linear programming problems

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JOURNAL OF GLOBAL OPTIMIZATION 2013年第1期57卷 51-73页

作者： Wittmann-Hohlbein, Martina Pistikopoulos, Efstratios N. Univ London Imperial Coll Sci Technol & Med Dept Chem Engn Ctr Proc Syst Engn London SW7 2BY England

This paper deals with the global solution of the general multi-parametric mixed integer linear programming problem with uncertainty in the entries of the constraint matrix, the right-hand side vector, and in the coefficients of the objective function. To derive the piecewise affine globally optimal solution, the steps of a multi-parametric branch-and-bound procedure are outlined, where McCormick-type relaxations of bilinear terms are employed to construct suitable multi-parametric under- and overestimating problems. The alternative of embedding novel piecewise affine relaxations of bilinear terms in the proposed algorithmic procedure is also discussed.

关键词： Multi-parametric programming mixed integer linear programming Global optimization

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SPOOFING CYBER ATTACK DETECTION IN PROBE-BASED TRAFFIC MONITORING SYSTEMS USING mixed integer linear programming

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NETWORKS AND HETEROGENEOUS MEDIA 2013年第3期8卷 783-802页

作者： Canepa, Edward S. Bayen, Alexandre M. Claudel, Christian G. King Abdullah Univ Sci & Technol Dept Elect Engn Mecca 23955 Saudi Arabia Univ Calif Berkeley Berkeley CA 94720 USA

Traffic sensing systems rely more and more on user generated (insecure) data, which can pose a security risk whenever the data is used for traffic flow control. In this article, we propose a new formulation for detecting malicious data injection in traffic flow monitoring systems by using the underlying traffic flow model. The state of traffic is modeled by the Lighthill-Whitham- Richards traffic flow model, which is a first order scalar conservation law with concave flux function. Given a set of traffic flow data generated by multiple sensors of different types, we show that the constraints resulting from this partial differential equation are mixed integer linear inequalities for a specific decision variable. We use this fact to pose the problem of detecting spoofing cyber attacks in probe-based traffic flow information systems as mixed integer linear feasibility problem. The resulting framework can be used to detect spoofing attacks in real time, or to evaluate the worst-case effects of an attack offline. A numerical implementation is performed on a cyber attack scenario involving experimental data from the Mobile Century experiment and the Mobile Millennium system currently operational in Northern California.

关键词： mixed integer linear programming hyperbolic partial differential equations cybersecurity

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Comparison of mixed integer linear programming models for the resource-constrained project scheduling problem with consumption and production of resources

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FLEXIBLE SERVICES AND MANUFACTURING JOURNAL 2013年第1-2期25卷 25-47页

作者： Kone, Oumar Artigues, Christian Lopez, Pierre Mongeau, Marcel Univ Abobo Lab Math & Informat UFR SFA Abidjan 02 Cote Ivoire LAAS CNRS F-31400 Toulouse France Univ Toulouse LAAS F-31400 Toulouse France Ecole Natl Aviat Civile F-31055 Toulouse 4 France

This paper addresses an extension of the resource-constrained project scheduling problem that takes into account storage resources which may be produced or consumed by activities. To solve this problem, we propose the generalization of two existing mixed integer linear programming models for the classical resource-constrained project scheduling problem, as well as one novel formulation based on the concept of event. Computational results are reported to compare these formulations with each other, as well as with a reference method from the literature. Conclusions are drawn on the merits and drawbacks of each model according to the instance characteristics.

关键词： Resource-constrained project scheduling mixed integer linear programming Consumption and production of resources Event-based on/off formulation

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