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A prospective approach to the optimal deployment of a hydrogen supply chain for sustainable mobility in island territories: Application to Corsica

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2024年 93卷 975-991页

作者： Mai, T. Moustapha Azzaro-Pantel, C. Cristofari, C. Choi, M. Chin Univ Cors CNRS 6134 UMR Sci Ctr Georges Peri Route Sanguinaires F-20000 Ajaccio France Univ Toulouse CNRS Lab Genie Chim INPTUPS Toulouse France

This study develops a framework for designing hydrogen supply chains (HSC) in island territories using mixed integer linear programming (MILP) with a multi-period approach. The framework minimizes system costs, greenhouse gas emissions, and a risk-based index. Corsica is used as a case study, with a Geographic Information System (GIS) identifying hydrogen demand regions and potential sites for production, storage, and distribution. The results provide an optimal HSC configuration for 2050, specifying the size, location, and technology while accounting for techno-economic factors. This work integrates the unique geographical characteristics of islands using a GIS-based approach, incorporates technology readiness levels, and utilizes renewable electricity from neighboring regions. The model proposes decentralized configurations that avoid hydrogen transport between grids, achieving a levelized cost of hydrogen (LCOH) of 8.54/kg. This approach offers insight into future options and incentive mechanisms to support the development of hydrogen economies in isolated territories.

关键词： Hydrogen Alternative fuel Energy system modeling mixed integer linear programming Geographic information system Mobility El Electrolyzer f Scale factor

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A Coordination Optimization for Train Operation and Energy Infrastructure Control in a Metro System

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2024年第3期25卷 2656-2668页

作者： Yang, Songpo Xiong, Jie Cao, Danni Wu, Jianjun Beijing Univ Technol Beijing Key Lab Traff Engn Beijing 100124 Peoples R China Beijing Univ Posts & Telecommun Sch Modern Post Sch Automat Beijing 100876 Peoples R China Beijing Jiaotong Univ Sch Syst Sci Beijing 100044 Peoples R China

An advanced metro system becomes imperative towards efficient and sustainable operations with the rapid growth of urban construction. As the essential factors to implement transport sustainability, a referred energy-efficient trajectory and an energy-saving infrastructure for train operations could guide trains running through with conquering complicated environmental impacts and help to control the energy flows in traction processes. Thus, we attempt to discover the optimal way of adapting to the track changes and resistances in train running and evaluate the energy exchanges with Energy Storage System (ESS) in an extended power supply network. In this study, we firstly optimize a train trajectory with consideration of air and track resistances by using a modified Q-Learning (QL) method. Secondly, for coordinated application between ESS and trains, an integration module is designed by implanting train trajectories. Specifically, based on the working properties of ESS, a deceleration-acceleration time separation is matched for supplementing the charging/discharging times of the devices. The space-time presentation is introduced to portray train running phases for connections with control processes of ESS. Then, a mixed integer linear programming (MILP) model is proposed for minimizing deceleration-acceleration overlaps. A Tabu Search (TS) algorithm is introduced to solve such complex problems. Finally, a numerical test is conducted to demonstrate the feasibility of the model in Beijing, China.

关键词： Power supplies Substations Optimization Trajectory optimization Mathematical models Energy efficiency Supercapacitors Trajectory and timetable optimization space-time overlaps mixed integer linear programming hybrid algorithm

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Intra-facility equity in discrete and continuous p-facility location problems

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COMPUTERS & OPERATIONS RESEARCH 2024年 162卷

作者： Blanco, Victor Marin, Alfredo Puerto, Justo Univ Granada Inst Math IMAG Granada Spain Univ Granada Dept Quant Methods Econ & Business Granada Spain Univ Murcia Dept Stats & Operat Res Murcia Spain Univ Seville Inst Math IMUS Seville Spain Univ Seville Dept Stats & Operat Res Seville Spain

We consider facility location problems with a new form of equity criterion. Demand points have preference order on the sites where the plants can be located. The goal is to find the location of the facilities minimizing the envy felt by the demand points with respect to the rest of the demand points allocated to the same plant. After defining this new envy criterion and the general framework based on it, we provide formulations that model this approach in both the discrete and the continuous framework. The problems are illustrated with examples and the computational tests reported show the potential and limits of each formulation on several types of instances. Although this article is mainly focused on the introduction, modeling and formulation of this new concept of envy, some improvements for all the formulations presented are developed, obtaining in some cases better solution times.

关键词： Facility location Fairness Equity mixed integer linear programming

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A matheuristic with re-lot-sizing strategies for flexible job-shop rescheduling problem with lot-streaming and machine reconfigurations

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2024年第3期319卷 747-762页

作者： Fan, Jiaxin Zhang, Chunjiang Yang, Fajun Shen, Weiming Gao, Liang Huazhong Univ Sci & Technol State Key Lab Intelligent Mfg Equipment & Technol Wuhan Peoples R China Shanghai Univ Sch Management Shanghai Peoples R China

This paper investigates a flexible job-shop rescheduling problem with lot-streaming and machine reconfigurations (FJRP-LSMR) for the total weighted tardiness minimization, where production setups between sublots are performed by assembling selected auxiliary modules to reconfigure machines. When a given long-term schedule is interrupted by dynamic events, such as machine breakdowns and job insertions, a rescheduling process is triggered to determine the lot-sizing plan, sublot sequences, and machine configurations simultaneously. A matheuristic with re-lot-sizing strategies (MHxzS) xzS ) is proposed to address the FJRP-LSMR, which takes the genetic algorithm as the main framework and introduces a mixed integer linear programming (MILP) based lot- sizing optimization (LSOxzS) xzS ) function to improve lot-sizing plans. Two re-lot-sizing strategies, namely complete re-lot-sizing and partial re-lot-sizing, are defined to reset more sublot sizes in rescheduling processes, thus the solution space that can be visited by the MILP model is greatly expanded for further improvements. Four groups of test instances and a complex real-world industrial case are adopted to evaluate the performance of the proposed methods. Extensive experimental results demonstrate that, with the help of re-lot-sizing strategies, the LSOxzS xzS can find high-quality lot-sizing plans within a short period of time, and the proposed MH xzS shows the best performance in the optimality, stability, and convergence.

关键词： Flexible job-shop rescheduling Lot-streaming Matheuristic Genetic algorithm mixed integer linear programming

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mixed integer linear programming formulations for probabilistic constraints

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OPERATIONS RESEARCH LETTERS 2012年第3期40卷 153-158页

作者： Vielma, J. P. Ahmed, S. Nemhauser, G. L. Univ Pittsburgh Dept Ind Engn Pittsburgh PA 15261 USA Georgia Inst Technol H Milton Stewart Sch Ind & Syst Engn Atlanta GA 30332 USA

We introduce two new formulations for probabilistic constraints based on extended disjunctive formulations. Their strength results from considering multiple rows of the probabilistic constraints together. The properties of the first can be used to construct hierarchies of relaxations for probabilistic constraints, while the second provides computational advantages over other formulations. (C) 2012 Elsevier B.V. All rights reserved.

关键词： mixed integer linear programming Formulations Probabilistic constraints Chance constraints

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Techno-economic pathway for green hydrogen adoption in thermal applications across US small and medium manufacturing sectors

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2025年 98卷 295-307页

作者： Paudel, Anup Choi, Jun-Ki Univ Dayton Dept Mech Engn Dayton OH 45409 USA Univ Dayton Renewable & Clean Energy Program Dayton OH 45409 USA

This study presents an optimization framework for designing a renewable hydrogen production system to meet the annual thermal energy demand of US small and medium-sized manufacturers (SMMs). The proposed system integrates solar photovoltaics, battery storage, and an electrolyser and the use of a mixed-integer linear programming model to determine the optimal sizing of components to minimize system cost while satisfying hydrogen demand under varying natural gas replacement scenarios. The optimization results indicate that increased PV and battery capacities are required for higher shares of hydrogen, while the size of the electrolyser remains constant within each industry. The economic analysis reveals significant cost escalation at higher hydrogen shares, with photovoltaics contributing more than half of the net present cost. Although a carbon pricing mechanism could help make the proposed system economically feasible, a cost analysis indicates that very high emission prices would be required to render hydrogen economically competitive with natural gas. The study thus recommends the use of targeted incentives and renewable grid integration to meet the challenges of transitioning SMMs to hydrogen and accelerate decarbonization.

关键词： Handling Editor: J. W. Sheffield Green hydrogen Natural gas replacement mixed integer linear programming Carbon price

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Model predictive control based optimal operation of smart city

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SUSTAINABLE CITIES AND SOCIETY 2024年 114卷

作者： Ishibashi, Takuma Furukakoi, Masahiro Uehara, Akie Masrur, Hasan Rashwan, Ahmed Krishna, Narayanan Mandal, Paras Takahashi, Hiroshi Senjyu, Tomonobu Univ Ryukyus Dept Elect & Elect Engn Okinawa 9030213 Japan Sanyo Onoda City Univ Dept Elect & Elect Engn Nagasaki 7560884 Japan King Fahd Univ Petr & Minerals Ind & Syst Engn Dept IRC Smart Mobil & Logist Dhahran 31261 Saudi Arabia Aswan Univ Fac Energy Engn Dept Elect Engn Sahary 81528 Egypt SASTRA Deemed Univ Dept Elect & Elect Engn Thanjavur 613401 India Univ Texas El Paso Dept Elect & Comp Engn El Paso TX 79968 USA Fuji Elect Co Ltd Tokyo 1410032 Japan

Rapid urbanization has resulted in a significant proportion of the world's population residing in urban areas. Cities are undergoing a transition towards the designation of smart cities, which aims to facilitate the efficient management of electrical and heating energy systems derived from renewable energy sources (RES). This paper presents a smart city model that incorporates RES, battery, grid and a combined cooling heat and power (CCHP) system. The smart city model deals with cooling, heating, and electric energy and applies a simple model predictive control (MPC) based approach for optimal operation. MPC method can be operated for future fluctuations by optimizing at the control horizon (N-C) while including the prediction horizon (N-P) in the optimization interval. The N-P and N-C parameters have a significant impact on the results, and their selection is an important consideration. This study uses MATLAB simulation to validate the effectiveness of MPC-based operations with a simplified forecasting model in a smart city utilizing RES and CCHP systems. The proposed method is easy to implement and shows sufficient performance while avoiding model complexity. In addition, the impact of N-C and N-P parameters on performance is investigated. The results show that the proposed method performs better when N-P is about 12 h.

关键词： Combined cooling heat and power mixed integer linear programming Model predictive control Optimization problem Renewable energy Smart city

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The strong network orientation problem

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INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 2024年第1期31卷 192-220页

作者： Duhamel, Christophe Santos, Andrea Cynthia Normandie Univ LITIS INSA Rouen UNIHAVREUNIROUEN 25 Rue Philippe Lebon F-76600 Le Havre France

This study presents models and heuristics for solving the strong network orientation problem (SNOP), which can model several tactical optimization problems of setting directions in urban networks. The objective is to set an orientation for each edge in an undirected graph such that the resulting digraph is strongly connected and the total travel distance between any pair of nodes is minimized (or maximized). Investigating tactical optimization problems such as SNOP is motivated by several challenges in urban networks due to the growth of population in urban areas, large number of daily trips, increasing price of maintaining urban networks, and the need to reduce air pollution and passive noise. Thus, a new trend is to utilize the urban networks better. In this context, we first use a multicommodity flow formulation to model the minimization problem. The maximization version is modeled by using the dual formulation of the shortest path problem. Then, scalable heuristic strategies for solving SNOP are investigated. For such purpose, we first propose basic components such as constructive heuristics, perturbations and local searches. They are combined into several metaheuristics based on local searches, multi-start and evolutionary schemes, i.e. Multistart Local Search, Iterated Local Search (ILS), Relaxed ILS, Evolutionary Local Search (ELS), Relaxed ELS, and Variable Neighborhood Search. Computational experiments have been performed to analyze the proposed methods in terms of efficiency and quality of solutions, using grid instances and a graph from downtown Clermont-Ferrand in France.

关键词： urban network strong connectivity network design mixed integer linear programming heuristics

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Maximum capture problem based on paired combinatorial weibit model to determine park-and-ride facility locations

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TRANSPORTATION RESEARCH PART B-METHODOLOGICAL 2024年 179卷

作者： Kitthamkesorn, Songyot Chen, Anthony Ryu, Seungkyu Opasanon, Sathaporn Chiang Mai Univ Excellence Ctr Infrastruct Technol & Transportat E Dept Civil Engn Sch Engn Chiang Mai 50200 Thailand Hong Kong Polytech Univ Dept Civil & Environm Engn Hong Kong Peoples R China Hong Kong Polytech Univ Shenzhen Res Inst Shenzhen Peoples R China Daejeon Sejong Res Inst Sejong City Policy Res Div Daejeon South Korea Thammasat Univ Fac Commerce & Accountancy Dept Int Business Logist & Transport Bangkok 10200 Thailand

Park-and-ride (P&R) facilities are key components in encouraging people to use the transit system by allowing them to leave their private vehicles at certain locations. The well-known multinomial logit (MNL) model is often used to develop a random utility maximization-based mathematical programming formulation to determine P&R facility locations. According to the independently and identically distributed (IID) assumption, the MNL model cannot account for the route similarity and user heterogeneity. This study provides a new mixed integer linear programming (MILP) formulation by incorporating a newly developed paired combinatorial weibit (PCW) model to relax the IID assumption for determining the optimal P&R facility location. Specifically, the incorporation of a copula derived from a generalized extreme value (GEV) model addresses the issue of route overlap within the context of the PCW model. In addition, using the Weibull distribution permits the consideration of heterogeneous perception variance. Its two-level tree structure for evaluating the marginal and conditional probabilities allows a linearization scheme to obtain a set of linear constraints. Numerical examples reveal the influence of the IID assumption relaxation on the results. The two probabilities from the tree structure and the binary location variables are combined to present a corresponding PCW model under open/close P&R facility solution. According to the degree of route overlapping and route-specific perception variance, the fare structure, particularly the distance-based scheme, has an impact on the number of P&R users and location at optimum.

关键词： mixed integer linear programming Park and ride Paired combinatorial weibit Generalized extreme value Weibull distribution

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Maximizing the active power flow controllability in a distribution system with optimum SOP placement

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ELECTRIC POWER SYSTEMS RESEARCH 2025年 244卷

作者： Sezgin, Mustafa Erdem Uzunalioglu, Aysenur Deveci, Umur Gol, Murat METU Elect & Elect Eng Dept Ankara Turkiye R&D Bogaz Elekt Dagitim AS BEDAS Istanbul Turkiye Novator Energy Ankara Turkiye

The classical distribution system has recently begun evolving with the introduction of new assets, such as distributed energy resources and electric vehicles. Although these technologies help nations reduce their greenhouse gas emissions, their adoption at the distribution level presents challenges for system operators. For example, distributed generation can raise network voltage, and uneven electric vehicle use across neighborhoods can lead to feeder imbalance. Soft open points (SOPs) offer a potential solution to these issues without compromising radial operation. However, given their high investment costs, determining their optimal placement in the network is crucial. This paper proposes a linearized approach for optimal SOP placement, designed to maximize network controllability by analyzing the distribution system's behavior and solving the problem using mixed-integer linear programming. The proposed approach can be applied to ring-designed but radial-operated systems by considering various open branches. The strategy is tested on both the IEEE 33-bus test system and the METU distribution system. Using this approach, optimal SOP locations can be determined for all possible radial operation scenarios in a ring-designed system.

关键词： Soft open points Distribution network Power flow control Optimum placement mixed integer linear programming

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