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IEEE 2nd International Conference on Power Science and Technology (ICPST)

作者： Huang, Yuanping Su, Rui Yang, Jin Li, Jiale Du, Zhaobin Huang, Zirui Yunnan Power Grid Co Ltd Dali Power Supply Bur Dali Peoples R China South China Univ Technol Sch Elect Power Guangzhou Peoples R China

ISBN: (纸本)9798350349047;9798350349030

Implementing demand-side management for industrial users is an essential measure to alleviate the inadequate regulation capability of the new power system. However, the demand response of industrial users mostly relies on manual decision-making, leading to issues of response unpredictability and irrational decision-making. To effectively utilize the regulatory role of industrial loads and enhance the intelligence of demand response among industrial users, this paper proposes an intelligent electricity scheduling model based on the State-Task Network (STN). Firstly, focusing on typical high-energy-consuming loads such as cement plants, a mathematical model describing the characteristics of cement production lines is established using the STN method, while considering the electricity consumption of production processes to model the electricity load of cement plants. Building upon this, comprehensively considering the influences of user-owned photovoltaic power generation and price-based demand response (time-of-use electricity price, TOU) in a general manner, an electricity intelligent scheduling model to minimize electricity costs is established. Finally, it is applied to the actual production of a cement plant in the Dali region, and the results indicate that the model has great application effects. It can effectively reduce users' energy costs and reasonably evaluate their potential for participating in demand response.

关键词： Industrial flexible loads intelligent electricity scheduling state-task network demand response mixed-integer linear programming

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Simultaneous lot sizing and scheduling in the animal feed premix industry

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OPERATIONAL RESEARCH 2023年第2期23卷 33页

作者： Milenkovic, Milos Val, Susana Bojovic, Nebojsa Univ Belgrade Fac Transport & Traff Engn Vojvode Stepe 305 Belgrade 11000 Serbia Zaragoza Logist Ctr Ave Ranillas5 Edificio A Bajo Zaragoza 50018 Spain

Feed represents a significant contributor to the total costs of animal production. Improved efficiency of animal food production may reduce feed cost and gain a positive impact on supply as well as the demand in animal food production. In this paper a discrete-time MILP-based scheduling model is proposed for optimization of animal food premix production process. The objective of the model is to minimize the total production and manpower costs while maximizing the utilization of parallel equipment units at the same time. The set of constraints captures all operational constraints from a specific production plant. Testing on a real case study proves the superiority of proposed approach in comparison to the current practice and paves the way for its industrial implementation. A framework for industrial application of the proposed model is described. In terms of capabilities, the proposed tailor-made solution represents a superior alternative to the general purpose software currently available on the market.

关键词： Animal food production Scheduling Lot-sizing Operator assignment mixed-integer linear programming

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Optimal Integration of Rooftop PV and Wind Powers for Cost-Efficient and Low-Carbon Operation of Sustainable Railway Systems

Optimal Integration of Rooftop PV and Wind Powers for Cost-E...

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International Conference on Smart Energy Systems and Technologies (SEST) - Driving the Advances for Future Electrification

作者： Davoodi, Mohsen Kaleybar, Hamed Jafari Brenna, Morris Politecn Milan Energy Dept Milan Italy

ISBN: (纸本)9798350386509;9798350386493

This paper focuses on the environmental and economic impact of electric railway systems (ERS) and introduces Railway Energy Management Systems (REMS) as a green solution to reduce greenhouse gas (GHG) emissions and CO2 pollution and reducing the operational cost of the station while allowing surplus electricity sales to the grid market. The research utilizes mixed integer linear programming (MILP) to optimize the operation cost and GHG reduction of railway station electrical systems in Milan, Italy. The study considers Renewable Energy Resources (RERs), Energy Storage Systems (ESSs), Regenerative Braking Energy (RBE), and the electrical grid. It also incorporates real-time data to account for the probabilistic and stochastic behaviors of these elements, leading to a significant cost reduction of 56.09% in smart railway station operations. MATLAB is employed to solve the model effectively, demonstrating the suitability and effectiveness of the proposed approach with compelling evidence of operational cost and GHG reductions in various scenarios, achieving a reduction of 3458.26 kg/day in the best scenario.

关键词： electric railway system energy management system GHG reduction mixed-integer linear programming renewable energy resources

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Iron Bioavailability Should be Considered when Modeling Omnivorous, Vegetarian, and Vegan Diets

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JOURNAL OF NUTRITION 2023年第7期153卷 2125-2132页

作者： van Wonderen, Dominique Melse-Boonstra, Alida Gerdessen, Johanna C. Wageningen Univ & Res Wageningen Econ Res Wageningen Netherlands Wageningen Univ Div Human Nutr Wageningen Netherlands Wageningen Univ Grp Operat Res & Logist Wageningen Netherlands

Background: To lower environmental impact of human food consumption, replacement of animal proteins with plant-based proteins is encouraged. However, the lower iron bioavailability of plant-based foods is rarely considered when designing healthy and sustainable diets by using diet modeling. The estimated absorbable iron content of vegetarian and vegan menu plans might therefore be too ***: The main aim of this study was to investigate and compare the impact of various methods to estimate absorbable iron intake on the nutritional adequacy of omnivorous, vegetarian, and vegan menu plans designed for women of reproductive age. Methods: A diet model was developed to design menu plans consisting of a selection of meals that best complied with nutritional re-quirements. Meals used for modeling were created based on food intake data from the National Health and Nutrition Examination Survey (NHANES). For each meal, absorbable iron concentrations were estimated by using 2 constant absorption factors (18% and 10%) and 2 diet-dependent absorption equations (Conway and Hallberg). For each absorption method and diet type, we used the diet model to design the optimal menu plan. Retrospectively, menu plans were evaluated by estimating the absorbable iron content by using the other absorption methods. Results: Retrospective diet-dependent absorbable iron estimates were consistently lower than estimates based on constant absorption factors. Using diet-dependent estimates increased absorbable iron by optimizing enhancer and inhibitor ***: Iron bioavailability should be considered when modeling diets.

关键词： diet optimization goal programming iron bioavailability menu planning mixed-integer linear programming protein transition

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A linear programming based method for designing menus for controlled feeding trials

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AMERICAN JOURNAL OF CLINICAL NUTRITION 2023年第2期117卷 408-413页

作者： Gerdessen, Johanna C. Borgonjen-van den Berg, Karin J. Wageningen Univ Grp Operat Res & Logist Hollandseweg 1 NL-6706 KN Wageningen Netherlands Wageningen Univ Div Human Nutr & Hlth Stippeneng 4 NL-6708 WE Wageningen Netherlands

Background: Controlled feeding trials are an important method to determine cause-effect relationships between dietary intake and metabolic parameters, risk factors, or health outcomes. Participants of a controlled feeding trial receive full-day menus during a prespecified period of time. The menus have to comply with the nutritional and operational standards of the trial. Levels of nutrients under investigation should differ sufficiently between intervention groups, and be as similar as possible for all energy levels within intervention groups. Levels of other key nutrients should be as similar as possible for all participants. All menus have to be varied and manageable. Designing these menus is both a nutritional and a computational challenge that relies largely on the expertise of the research dietician. The process is very time consuming, and last-minute disruptions are very hard to ***: This paper demonstrates a mixed integer linear programming model to support the design of menus for controlled feeding ***: The model is demonstrated for a trial that involved consumption of individualized, isoenergetic menus with either a low or a high protein ***: All menus generated by the model comply with all standards of the trial. The model allows for including tight ranges on nutrient composition, and complex design features. The model is very helpful in managing contrast and similarity of key nutrient intake levels between groups and energy levels, and in coping with many energy levels and nutrients. The model helps to propose several alternative menus and to manage last-minute disruptions. The model is flexible;it can easily be adapted to suit trials with other components or different nutritional ***: The model helps to design menus in a fast, objective, transparent, and reproducible way. It greatly facilitates the design procedure for menus in controlled feeding trials and lowers development costs.

关键词： mixed-integer linear programming optimization linearization fully controlled dietary intervention operations research

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New mathematical model for machine scheduling with variable capacity over time

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INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT 2025年第2期20卷 215-224页

作者： Esmaelian, Majid Momeni, Abolfazl Mohammadi, Milad Univ Isfahan Dept Management Hezarjerib StAzadi Sq Esfahan *** Iran Vali Easr Univ Rafsanjan Fac Econ & Adm Sci Dept Management Rafsanjan Iran

In this study, machine scheduling with variable capacity over time (SVCap) is investigated. The machine capacity is the maximum number of jobs that a machine can process at a time which can be either fixed or variable over time. In common machine scheduling problems, it is assumed that one machine can process one job at a time. However, in variable machine capacity, multiple jobs can be processed on a machine simultaneously. Unlike the current research, a mathematical formulation is not developed yet for solving this problem. In order to solve the problem, a novel mixed integer linear programming (MILP) is proposed. In addition, the SVCap is regarded as a special type of resource-constrained project scheduling problem (RCPSP). Thus, the discrete-time (DT) formulation is generalized to solve the SVCap. In these formulations, the total tardiness is minimized as the objective function. Proposed models are implemented on an irrigation scheduling problem in which water resources are allocated to each plot of farmland. The computational performances of proposed formulations are evaluated on problem instances with different sizes. Results show that the proposed formulations solved all problem instances. The results demonstrate that the proposed MILP formulation is more efficient than the generalized DT formulation in both solution quality and runtimes.

关键词： Scheduling variable capacity over time total tardiness mixed-integer linear programming

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A nationwide planning model for argon supply chains with coordinated production and distribution

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DIGITAL CHEMICAL ENGINEERING 2025年 14卷

作者： Neiro, Sergio M. S. Madan, Tarun Maravelias, Christos T. Pinto, Jose M. Uberlandia Fed Univ UFU Sch Chem Engn Joao Naves Avila 2121Bloco 5K BR-38408100 Uberlandia Brazil Linde plc Linde Digital Amer Danbury CT 06810 USA Princeton Univ Dept Chem & Biol Engn Princeton NJ USA Princeton Univ Andlinger Ctr Energy & Environm Princeton NJ USA

In this work, we address a nationwide tactical planning for industrial gas supply chains, particularly argon. The proposed approaches follow as extensions of our previous work (Comp. & Chem. Eng., 161 (2022) 107778) in which a regional argon supply chain problem is addressed;in that work, both production and distribution could be represented in detail. Two different types of deliveries from the Air Separating Units (ASU) to customers, which involve single driver deliveries for short distance trips and sleeper team that require multiple days. The nationwide problem requires simplifications to keep the problem mathematically tractable, primarily the representation of production sites with different tier costs and the aggregation of customers in clusters. The regional problem addressed in our previous work is used as a benchmark case study for benchmarking. We then focus on a real-world problem that represents a nationwide argon supply chain. Despite the size of the models, near optimal solutions could be found in reasonable times. Finally, we highlight important features of the proposed approaches.

关键词： mixed-integer linear programming Industrial gases Supply chain optimization

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Design and performance optimization of a tri-generation energy hub considering demand response programs

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ENERGY SCIENCE & ENGINEERING 2023年第2期11卷 675-684页

作者： Taheri, Bahman Foroud, Asghar Akbari Jabari, Farkhondeh Semnan Univ Elect & Comp Engn Fac Semnan Iran Niroo Res Inst NRI Power Syst Operat & Planning Res Dept Tehran Iran

The design and development of renewable energy resources-based poly-generation microgrids have recently increased to supply multiple demands such as cool, heat, and power as well as mitigate pollutants improving efficiency. This paper aims to develop a combined cooling, heating, and power production network integrating photovoltaic panels (PVs), wind and gas turbines, a battery, an ice bank tank, a heater, an electrical chiller, a thermal energy storage medium. In this tri-generation facility, natural gas is utilized for district heating and fueling the gas turbine power generation cycle. The local power distribution system in combination with the output powers of PVs, wind and gas turbines is used to directly supply the electrical appliances, ice maker process, and chiller as well as charge the battery storage unit. Moreover, the air/water-cooled chiller procures the cooling flux for a benchmark microgrid. Its heating energy requirement is also provided by the gas-fired heater, the flue gases of the gas turbine, and the thermal storage medium. A mixed integer linear programming problem is coded using a generalized algebraic modeling system (GAMS) to minimize daily operating costs and emissions. Simulations are examined and analyzed over a 24-h study horizon on a sample summer day. Time-of-use energy rates and RTPs are considered two strategic demand response schemes to investigate the cost-effectiveness capability of the gas-power nexus model. The proposed approach is coded using a GAMS to confirm its effectiveness and cost-environ benefits in four cases with and without heat/cool/electrical storage units considering time-of-use energy rates and real-time prices.

关键词： combined cooling heating and power demand response environmental pollutions mixed-integer linear programming real-time pricing time-of-use

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The potentials of vehicle-grid integration on peak shaving of a community considering random behavior of aggregated vehicles

NEXT ENERGY

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NEXT ENERGY 2025年 7卷

作者： Li, Yalun Wang, Kun Xu, Chaojie Wu, Yu Li, Liguo Zheng, Yuejiu Yang, Shichun Wang, Hewu Ouyang, Minggao Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Tsinghua Univ Sch Vehicle & Mobil Beijing 100084 Peoples R China Beihang Univ Sch Transportat Sci & Engn Beijing 100191 Peoples R China Beihang Univ Sch Beijing Beijing 100191 Peoples R China Univ Shanghai Sci & Technol Sch Mech Engn Shanghai 200093 Peoples R China Beijing Inst Technol Sch Mat Sci & Engn Beijing 100081 Peoples R China

With large-scale electric vehicles (EVs) promoted and connected to the power grid, the uncontrolled charging of EVs enlarges the peak-valley range of load in the distribution grid. To alleviate the peak-valley range and enhance the stability of the distribution grid, vehicle-grid integration (VGI) is proposed as an economic and potential solution. However, the impact of disorderly charging and the potential of VGI considering random user behavior requires clarification. This paper established a mixed-integer linear programming model with user behavior simulated by the Monte Carlo algorithm. The travel and charging behavior of EVs are provided by Monte Carlo simulation with characteristic parameters from statistical data of urban vehicle travel data. A digital model describing the VGI charging boundary is built to restrict the transition from uncontrolled charging to VGI. Through analysis of the global optimization results, the comparison of disorderly charging with VGI under different scenarios is provided to illustrate the effectiveness of avoiding load uplift and reducing load peak-valley range. In a typical residential community with 100 EVs per 1000 people, disorderly charging increases the peak load by 17.1%, while VGI, with a participation ratio of 30%, reduces the load range by 74.8%. This study clearly demonstrates the effectiveness of VGI and guides the implementation of VGI in the rapid growth of EVs.

关键词： Vehicle-grid integration (VGI) Charging boundary Monte Carlo model mixed-integer linear programming

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PORTFOLIO MODELS FOR OPTIMIZING DRAWDOWN DURATION

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INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED FINANCE 2024年第2期27卷

作者： Vedernikov, Andrei Liesio, Juuso Seppaelae, Tomi Aalto Univ Sch Business Dept Informat & Serv Management Management Sci Grp POB 21220 FI-00076 Aalto Finland

The drawdown duration, which measures the time elapsed since the portfolio obtained its maximum value, is an important criterion in active portfolio management for institutional investors. Although several optimization models exist for controlling portfolio drawdown magnitude (i.e. the percentage drop in portfolio value from its latest peak value), developing similar models for the drawdown duration has received minimal attention in the literature. Therefore, this paper develops a family of models for optimizing average, maximum and tail drawdown duration formulated as mixed-integer linear programming (MILP) problems, allowing the utilization of powerful solvers to identify optimal asset portfolios. We apply the developed models to real data on historical returns to compare their performance against traditional and drawdown-based portfolio selection models. The results indicate that the developed models lead to decrease in drawdown duration levels both in in-sample and out-of-sample tests. The constructed efficient frontiers also show a clear trade-off between minimizing drawdown duration and maximizing expected returns.

关键词： Finance portfolio optimization drawdown mixed-integer linear programming

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