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8th IFAC Conference on Manufacturing Modelling, Management and Control (MIM)

作者： Hnaien, F. Yalaoui, F. Mhadhbi, A. Nourelfath, M. Univ Technol Troyes ICD LOSI UMR CNRS 6281 12 Rue Marie Curie F-10010 Troyes France Finaxys 27 Rue Poissonniers F-92200 Neuilly Sur Seine France Univ Laval Dept Mech Engn Interuniv Res Ctr Enterprise Networks Logist & Tr Quebec City PQ G1V 0A6 Canada

This paper deals with the production planning and preventive maintenance scheduling on a single machine multi-product capacitated lot-sizing problem (CLSP). The machine is assumed to be subject to random failures. Preventive maintenances at the beginning of each production period to reduce the risk of failure and minimal repairs at failure is considered. The aim is to minimize the sum of the total production and maintenance costs related to inventory, backorder, production, set-up, preventive maintenance (PM), and minimal repair (MR) under demand satisfaction and machine capacities constraints over the entire horizon. Using the Weibull model, we present a mixed-integer linear programming (MIP) model to solve the problem. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： capacitated lot-sizing problem production planning preventive maintenance minimal repair mixed-integer linear programming

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A multi-objective framework for cost-unavailability optimisation of residential distributed energy system design

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SUSTAINABLE ENERGY GRIDS & NETWORKS 2017年 9卷 104-117页

作者： Wouters, Carmen Fraga, Eric S. James, Adrian M. Univ Coll London Sch Energy & Resources Adelaide SA 5000 Australia UCL Dept Chem Engn Ctr Proc Syst Engn London WC1E 6BT England

Future energy systems are expected to include distributed energy systems (DES) and microgrids (MG) at the distribution level. These energy efficient environments enable participating consumers to locally generate and share both electrical and thermal energy. Apart from the potential for a more cost-efficient energy system design, improved system availability is also increasingly put forward as a major advantage of MGs. This paper proposes a mixed-integer linear programming (MILP) approach for the design of a neighbourhood-based energy system, considering the trade-off between total annualised cost and electrical system unavailability. System design is optimised to meet the yearly neighbourhood energy demands by selecting technologies and interactions from a pool of dispatchable and renewable polygeneration and storage alternatives. The availability implementation employs a Markov chain approach combined with logic-gate integer programming. The Pareto trade-off sets of on-and off-grid MG modes are obtained using a weighted-sum approach. The developed model is subsequently applied to an Australian case-study. The sought after trade-off "knee" points for each Pareto curve are hereby identified. Additionally, through comparing on-and off-grid design trade-offs, the need for component redundancy for systems with islanding capabilities is analysed. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： z Dependability Distributed generation Logic-gate integer programming Markov state space analysis Microgrid mixed-integer linear programming

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RECIFE-SAT: A MILP-based algorithm for the railway saturation problem

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JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT 2017年第1-2期7卷 19-32页

作者： Pellegrini, Paola Marliere, Gregory Rodriguez, Joaquin Univ Lille Nord France F-59000 Lille France IFSTTAR LEOST COSYS F-59650 Villeneuve Dascq France IFSTTAR ESTAS COSYS F-59650 Villeneuve Dascq France

Measuring capacity of railway infrastructures is a problem even in its definition. In this paper, we propose RECIFE-SAT, a MILP-based algorithm to quantify capacity by solving the saturation problem. This problem consists of saturating an infrastructure by adding as many trains as possible to an existing (possibly empty) timetable. Specifically, RECIFE-SAT considers a large set of potentially interesting saturation trains and integrates them in the timetable whenever possible. This integration is feasible only when it does not imply the emergence of any conflict with other trains. Thanks to a novel approach to microscopically represent the infrastructure, RECIFE-SAT guarantees the absence of conflicts based on the actual interlocking system deployed in reality. Hence, it can really quantify the actual capacity of the infrastructure considered. The presented version of RECIFE-SAT has two objective functions, namely it maximizes the number of saturation trains scheduled and the number of freight ones. In an experimental analysis performed in collaboration with the French infrastructure manager, we show the promising performance of RECIFE-SAT. To the best of our knowledge, RECIFE-SAT is the first algorithm which is shown to be capable of saturating rather large railway networks considering a microscopic infrastructure representation. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Railway capacity Saturation problem mixed-integer linear programming Microscopic representation

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Integrated forward/reverse logistics network design under uncertainty with pricing for collection of used products

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ANNALS OF OPERATIONS RESEARCH 2017年第1期253卷 193-225页

作者： Fattahi, Mohammad Govindan, Kannan Shahrood Univ Technol Sch Ind Engn & Management Shahrood Iran Univ Southern Denmark Dept Technol & Innovat Campusvej 55 Odense Denmark

This paper addresses design and planning of an integrated forward/reverse logistics network over a planning horizon with multiple tactical periods. In the network, demand for new products and potential return of used products are stochastic. Furthermore, collection amounts of used products with different quality levels are assumed dependent on offered acquisition prices to customer zones. A uniform distribution function defines the expected price of each customer zone for one unit of each used product. Using two-stage stochastic programming, a mixed-integer linear programming model is proposed. To cope with demand and potential return uncertainty, Latin Hypercube Sampling method is applied to generate fan of scenarios and then, backward scenario reduction technique is used to reduce the number of scenarios. Due to the problem complexity, a novel simulation-based simulated annealing algorithm is developed to address large-sized test problems. Numerical results indicate the applicability of the model as well as the efficiency of the solution approach. In addition, the performance of the scenario generation method and the importance of stochasticity are examined for the optimization problem. Finally, several numerical experiments including sensitivity analysis on main parameters of the problem are performed.

关键词： Stochastic programming Integrated forward/reverse logistics network mixed-integer linear programming Simulated annealing Simulation

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Near-Optimal Day-Ahead Scheduling of Energy Storage System in Grid-Connected Microgrid

Near-Optimal Day-Ahead Scheduling of Energy Storage System i...

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IEEE Innovative Smart Grid Technologies - Asia

作者： T. T. Teo T. Logenthiran W. L. Woo K. Abidi School of Electrical and Electronic Engineering Newcastle University

ISBN: (纸本)9781538642924

This paper proposes a near-optimal day-ahead scheduling of energy storage system based on the mismatch between supply and demand, state-of-charge and real-time electricity price when deciding how much to charge and discharge the energy storage system. An artificial neural network, the extreme learning machine is used for the day-ahead forecast of the mismatch between supply and demand and real-time electricity market price. After the day-ahead forecast is obtained, the scheduling problem is formulated into a mixed-integer linear programming and implemented in AMPL and solved using CPLEX. This paper also considers the impact of forecasting errors in the day-ahead scheduling. Empirical evidence shows that the proposed near-optimal day-ahead scheduling of ESS can achieve lower operating cost and life-cycle.

关键词： Energy management system Electricity market Renewable source Storage system mixed-integer linear programming

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MILP Model for Short-Term Hydro Scheduling with Head-Sensitive Prohibited Operating Zones

MILP Model for Short-Term Hydro Scheduling with Head-Sensiti...

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17th Annual World Environmental and Water Resources Congress

作者： Wang, Jiayang Liao, Shengli Cheng, Chuntian Liu, Benxi Dalian Univ Technol Inst Hydroinformat Dalian 116024 Peoples R China

ISBN: (数字)9780784480595

ISBN: (纸本)9780784480595

Head-sensitive prohibited operating zones are a critical challenge for short-term scheduling of cascaded hydropower plants for peak shaving. These prohibited operating zones add discrete characters to the nonlinear hydropower scheduling problem, making it tough to handle. This paper establishes a mixed-integer linear programming (MILP) model for short-term hydro scheduling with head-sensitive prohibited operating zones. The Min-Max objective function, plant performance curves and head-sensitive prohibited operating zones are mainly focused on. The Min-Max objective function is linearized via introducing linear combinations of constraints. The plant performance curves are linearized by a piecewise linear approximation. The avoidance of prohibited operating zones is incorporated into the linearization of plant performance curves so that head effect is captured. The case study of a two cascaded hydropower system is solved by LINGO. Numerical results show that the proposed MILP model is efficient and suitable for short-term hydropower optimal scheduling with prohibited operating zones for peak shaving.

关键词： short-term hydro scheduling prohibited operating zones head effect peak shaving mixed-integer linear programming

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Increasing the Hosting Capacity for Renewable Energy in Distribution Networks

Increasing the Hosting Capacity for Renewable Energy in Dist...

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IEEE-Power-and-Energy-Society Innovative Smart Grid Technologies Conference (ISGT)

作者： Macedo, Leonardo H. Franco, John F. Romero, Ruben Ortega-Vazquez, Miguel A. Rider, Marcos J. Sao Paulo State Univ Dept Elect Engn Ilha Solteira Brazil Univ Washington Dept Elect Engn Seattle WA 98195 USA Univ Estadual Campinas Dept Syst & Energy Campinas SP Brazil

ISBN: (纸本)9781538628904

Environmental concerns and the need to decarbonize the supply side of power systems are spurring the integration of renewable energy sources (RES). Consequently, an unprecedented increase of RES, particularly photovoltaic (PV) systems, has been observed in distribution grids. However, PV generation is weather-driven, and therefore its power production peak does not necessarily coincide with the peak demand. Therefore, large amounts of cheap renew able generation are usually spilled. This paper proposes a method for optimal allocation and sizing of energy storage systems (ESSs) to increase hosting capacity of PV generation in distribution networks. Moreover, network reinforcement and capacitor bank allocation are also considered. The problem is modeled using stochastic mixed-integer linear programming in which PV generation and demand arc represented via scenarios. A 20-node test system is used to demonstrate the effectiveness of the proposed approach and to analyze the role of ESSs to improve the hosting capacity of RES.

关键词： Terms Distribution networks energy storage mixed-integer linear programming photovoltaic generation stochastic optimization

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Day-Ahead Scheduling of Wind Generation and Energy Storage

Day-Ahead Scheduling of Wind Generation and Energy Storage

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IEEE Region 10 Conference (TENCON)

作者： Shaaban, Mohamed Tan, Wen-Shan Abdullah, Md Pauzi Univ Malaysia Sarawak Dept Elect & Elect Engn Fac Engn Kota Samarahan 94300 Sarawak Malaysia Univ Teknol Malaysia Inst Future Energy Ctr Elect Energy Syst Johor Baharu 81310 Malaysia

ISBN: (纸本)9781509011346

This paper presents a chance-constrained scheduling (CCS) approach for variable wind generation, in the day-ahead timescale, including energy storage. The day-ahead CCS utilizes the ramping of conventional generation as well as the dispatch of energy storage to enhance the load following and ramping support capabilities, to mitigate the impact of net load ramps. The proposed CCS approach is converted into an equivalent mixed-integer linear programming (MILP) expression with the aim to maintain the compatibility with commercially state-of-the-art optimization solvers. Numerical simulations, carried out on the IEEE RTS 96 test system with high penetration of wind power, indicate the effectiveness of the developed CCS formulation and highlight the competitive aspects of the proposed CCS approach.

关键词： Generation scheduling storage devices wind generation chance-constrained optimization mixed-integer linear programming

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Multi-Period Power Management Optimization for Operating Isolated Hybrid Microgrids

Multi-Period Power Management Optimization for Operating Iso...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

作者： Galceran-Feixas, Marc Aragues-Penalba, Monica Bullich-Massague, Eduard Vidal-Clos, Josep-Andreu Gomis-Bellmunt, Oriol UPC CITCEA Elect Engn Dept Avinguda Diagonal 647 Barcelona 08028 Spain

ISBN: (纸本)9781538619537

The aim of this study is to develop an algorithm for ensuring optimal operation of isolated microgrids. The generic microgrid considered consists of a set of distributed controllable generators integrated to a distribution network which give electrical supply in a local area. The algorithm is proposed to operate AC microgrids constituted by a photovoltaic power plant, synchronous diesel generators, energy storage capacity and loads. The optimization algorithm, based on linear programming, maximizes renewable power generation, minimizes diesel consumption and ensures an appropriate management of the batteries without compromising the frequency stability of the system. The energy management generates a day-ahead schedule and setpoints for the distributed energy resources and the energy storage system.

关键词： Energy management system isolated microgrids mixed-integer linear programming optimization algorithm

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Optimal Aircraft Scheduling and Flight Trajectory in Terminal Control Areas 5

Optimal Aircraft Scheduling and Flight Trajectory in Termina...

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5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

作者： Sama, Marcella D'Ariano, Andrea Pacciarelli, Dario Palagachev, Konstantin Gerdts, Matthias Univ Roma Tre Dipartimento Ingn Sez Informat & Automaz Via Vasca Navale 79 I-00146 Rome Italy Univ Bundeswehr Munchen Inst Math & Rechneranwendung Werner Heisenberg Weg 39 D-85577 Neubiberg Germany

ISBN: (纸本)9781509064847

This paper deals with the Terminal Control Area Aircraft Scheduling Problem and the Aircraft Trajectory Optimization Problem for landing operations in a busy terminal control area. The first problem requires to compute a conflict free schedule for all aircraft minimizing the overall aircraft delays, while the second deals with the computation of a landing trajectory for each aircraft which minimizes either the travel time or the fuel consumption. Due to the lack of integrated solving approaches considering both problems, we propose a framework for the lexicographic optimization of the two problems. The computational experiments, performed on Milano Malpensa airport instances, show the existence of performance gaps between the optimized indicators of the two problems when different lexicographic optimization approaches are considered.

关键词： Air Traffic Control Job Shop Scheduling mixed-integer linear programming Lexicographic Optimization

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