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检索条件"主题词=mixed integer linear programming"

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Resilience-Based Workforce Routing and Scheduling Problem in Substation System Emergency Operation*

Resilience-Based Workforce Routing and Scheduling Problem in...

引用

IEEE International Conference on Automation Science and Engineering (CASE)

作者： Tianbao Liang Yaping Liu Zhanbo Xu Jiang Wu Haoming Zhao Xiaohong Guan Moe Klinns Lab and Systems Engineering Institute of Xi’an Jiaotong University Xi’an China Department of Automation Center for Intelligent and Networked Systems (CFINS) TNLIST Tsinghua University Beijing China

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Global climate changes have increased the frequency and consequences of disasters, which affects the stable operation of the electric power network. Thus, substation system as a significant part of electric power network, its optimal emergency operation facing disaster has attracted much attention. This paper focuses on the workforce routing and scheduling problem (WRSP) in the substation system emergency operation, which is formulated as a mixed integer linear programming problem with the objective of maximizing system resilience. Task association constraint model and technicians routing constraint model are established to describe the cooperative relationship between technicians of different crews and the complex relationship between tasks respectively. Task and feeder output correlation constraint model is established to correlate the execution of tasks in continuous time with the discrete time output of the substation feeders. In this way, the technician assignment is independent of time and the problem can be efficiently solved by optimization solver. The performance and effectiveness of the developed method is demonstrated using a practical case study. The results show that the developed model can effectively coordinate technicians and tasks, and improve the resilience of this system to disasters.

关键词： Substations Correlation Disasters Routing Numerical models mixed integer linear programming Indexes Optimization Resilience Meteorology

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Joint optimal scheduling for EV-UAV system serving post-disaster rescue

Joint optimal scheduling for EV-UAV system serving post-disa...

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Sustainable Power and Energy Conference (iSPEC)

作者： Wenchao Bai Mingfei Ban Qiang Liu Qichao Chen Zhenjie Li Yiqi Liu Mechanical and Electrical Engineering Northeast Forestry University Harbin China State Grid Economic and Technological Research Institute Co. Ltd Beijing China

ISBN: (纸本)9781665414401

The UAV system is an emerging hi-tech force for emergency response and disaster relief. Electric vehicles (EV) plus unmanned aerial vehicles (UAVs) is a novel post-disaster emergency rescue pattern. In an EV-UAV system, the EV acts as a mobile depot to support its mounted UAVs while the UAVs depart from the EV to complete various rescue tasks. And distributed energy sources, e. g., a microgrid and a battery-swapping station, can provide charging services for the EV to enlarge its endurance. A two-echelon framework is presented based on mixed-integer linear programming (MILP) to perform joint optimal scheduling considering constraints such as time windows of demand points, energy endurance and load capacities of UAVs. Case studies demonstrate the effectiveness of the model and illustrate the potentials of the proposed system.

关键词： Force Optimal scheduling Microgrids Autonomous aerial vehicles Routing Emergency services mixed integer linear programming

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Modeling and optimization of energy production from lignocellulosic biomass in Burkina Faso

Modeling and optimization of energy production from lignocel...

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International Renewable Energy Congress

作者： Fernand Zoma Marie Sawadogo Laboratoire Energies Renouvelables et Efficacité Énergétique (LabEREE) Institut International d’Ingénierie de l’Eau et de l’Environnement (2iE) Ouagadougou Burkina Faso

ISBN: (纸本)9781665488983

Burkina Faso has significant biomass (lignocellulosic) potential that can be used for energy production. Despite this availability, there are many problems in developing viable schemes to implement optimal bioenergy production in Burkina Faso given the technologies and energy needs. This study aims to develop a mixed integer linear programming (MILP) model to evaluate and optimize the main supply chain options in terms of economic criteria. The proposed model was applied to a case study in five Burkina Faso regions to produce heat, electricity, and briquettes from crop residues (cotton stalks) and agro-industrial residues (cashew nut shells and mango pits). The obtained results indicate that the optimal technologies are briquetting plants for the production of briquettes and the best biomasses are agro-industrial residues. A sensitivity analysis is therefore made considering variations in the price of biomass and products.

关键词： Sensitivity analysis Biological system modeling Supply chains Production Mathematical models Biomass mixed integer linear programming

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Formulations and algorithms for the multiple depot, fuel-constrained, multiple vehicle routing problem

Formulations and algorithms for the multiple depot, fuel-con...

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American Control Conference

作者： Kaarthik Sundar Saravanan Venkatachalam Sivakumar Rathinam Dept. of Mechanical Engg. Texas A&M University College Station 77843 USA Dept. of Industrial and Systems Engg. Wayne State University Detroit MI 48202 USA

ISBN: (纸本)9781467386838

We consider a multiple depot, multiple vehicle routing problem with fuel constraints. We are given a set of targets, a set of depots and a set of homogeneous vehicles, one for each depot. The depots are also allowed to act as refueling stations. The vehicles are allowed to refuel at any depot, and our objective is to determine a route for each vehicle with a minimum total cost such that each target is visited at least once by some vehicle, and the vehicles never run out fuel as it traverses its route. We refer to this problem as the Multiple Depot, Fuel-Constrained, Multiple Vehicle Routing Problem (FCMVRP). This paper presents four new mixed integer linear programming formulations to compute an optimal solution for the problem. Extensive computational results for a large set of instances are also presented.

关键词： unmanned vehicle routing fuel constraints green vehicle routing electric vehicles mixed-integer linear programming WAREHOUSE vehicle Electric vehicles mixed integer linear programming Vehicle routing Total Costs Refuelling

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Benders Decomposition for Order Batching and Scheduling Consider Uncertainties

Benders Decomposition for Order Batching and Scheduling Cons...

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Automation in Manufacturing, Transportation and Logistics (ICaMaL), International Conference on

作者： Yafeng Wei Ting Qu Yongheng Zhang Kai Zhang Mingxing Li George Q Huang School of Management Jinan University Guangzhou P.R. China Guangdong International Cooperation Base of Science and Technology for GBA Smart Logistics School of Intelligent Systems Science and Engineering Jinan University (Zhuhai Campus) Zhuhai China Shenzhen Research Institute The Hong Kong Polytechnic University Shenzhen P.R. China School of Intelligent Systems Science and Engineering Jinan University (Zhuhai Campus) Zhuhai China Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong P.R. China

ISBN: (数字)9798350378658

ISBN: (纸本)9798350378665

Under the trend of mass customization, customer orders show the characteristics of “multi-variety, small batch”, which has a great impact on the scheduling process of batch production enterprises with mass production. This paper studies the problem of order group and batch scheduling with equipment constraints, that is, the order group and batch scheduling that makes the total production cost lowest is found under the equipment and delivery time constraints. Especially, the processing time of different batch equipment is different and uncertain. Firstly, a mixed integer linear programming model is established for order group and batch scheduling problems with equipment constraints. Secondly, in order to realize the optimal decision of the model efficiently, the Benders decomposition is adopted to decompose the original model into the order group master problem and the batch scheduling problem of equipment with different capacities. In view of the uncertain parameters in the model, robust optimization is adopted to transform the uncertainty constraints into robust counterpart. For the convergence problem of decomposed model, the improved Benders cut is added to speed up the convergence. Finally, through numerical experiments, the effectiveness of the algorithm is tested, and its competitiveness is verified in solving the optimal solution of medium-sized or even larger problem cases.

关键词： Uncertainty Job shop scheduling Costs Production Transforms Numerical models mixed integer linear programming Single machine scheduling Optimization Convergence

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Optimal Hybrid Energy Storage System Scheduling Strategy in Energy Market Considering Battery Cycle Life

Optimal Hybrid Energy Storage System Scheduling Strategy in ...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Hongfei Yu Fucong Xu Yuge Chen Weijun Zhang Li Yang Zhenzhi Lin College of Electrical Engineering Zhejiang University Hangzhou China State Grid Fujian Electric Power Co. Ltd Fuzhou China Power Research Institute State Grid Fujian Electric Power Co. Ltd Fuzhou China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

In the context of large-scale renewable energy integration, actively guiding hybrid energy storage systems (HESS) to participate in electric power energy trading can effectively address power balance issues in modern power systems. However, high investment costs and long payback periods limit the willingness of HESS owners to participate in the energy market. To enhance the techno-economic performance of HESS in the energy market, an optimal HESS scheduling strategy in the energy market considering battery cycle life is proposed in this paper. Firstly, an equivalent full-cycle life model based on depth of discharge (DoD) is developed. Secondly, the proposed battery energy storage (BES) cycle life model is integrated into the optimization scheduling model, presenting an optimal strategy for HESS participation in the energy market. Finally, scenario-based comparative analyses validate the effectiveness of the proposed strategy in increasing the revenue of lithium-ion and vanadium flow HESS in the energy market.

关键词： Renewable energy sources Costs Optimal scheduling Vanadium Hybrid power systems Discharges (electric) Batteries US Department of Defense mixed integer linear programming Investment

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Impossible differential and zero-correlation linear cryptanalysis of Marx, Marx2, Chaskey and Speck32.

Impossible differential and zero-correlation linear cryptana...

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International eConference on Computer and Knowledge Engineering (ICCKE)

作者： Mahshid Saberi Nasour Bagheri Sadegh Sadeghi Shahid Rajaee Teacher Training University Tehran Iran Sharif University of Technology Tehran Iran

ISBN: (纸本)9781665402095

ARX symmetric ciphers use three operations: Additional, Rotational, and XOR in their structures. The SPECK, MARX, MARX2, and CHASKEY are examples of ARX block ciphers. In this paper, we consider the zero-correlation linear cryptanalysis of MARX, MARX2 and impossible differential cryptanalysis of MARX, MARX2, and *** our knowledge, this cryptanalysis has not been performed on any of the mentioned ciphers so far. Among the available methods for finding the best impossible differential and zero correlation characteristic in the corresponding cryptanalysis, we use mixed integer linear programming (MILP). The MILP is an automated search method to find the best differential (linear) characteristics of a cipher with a specified number of rounds. Thanks to the MILP method, for the CHASKEY cipher, we find 4-round impossible differential characteristics. For MARX, we present a 13-round attack by using a 10-round impossible differential characteristic. Also, for MARX2, we find 7-round impossible differential characteristics that cause the 11 rounds attack. Moreover, we apply zero-correlation linear cryptanalysis on 10 and 7-round of MARX and MARX2, respectively.

关键词： Knowledge engineering Ciphers Correlation Search methods mixed integer linear programming Encryption Cryptography

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Research on the Operation Strategy of Compressed Energy Storage in the Power Market Environment

Research on the Operation Strategy of Compressed Energy Stor...

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New Energy and Electrical Technology (ISNEET), International Symposium on

作者： Tao Wang Zhijie Shi Shiyao Liu Institute of Renewable Energy and Energy Storage Technologies Power China Renewable Energy Company Ltd. Beijing China POWERCHINA HeBei Electric Power Engineering Co. Ltd. Hebei China Hebei Electric Power Design & Survey Technology Innovation Center Hebei China

ISBN: (数字)9798331505905

ISBN: (纸本)9798331505912

In the context of global energy structure transition and environmental protection, compressed air energy storage (CAES) technology has become the key to the enhancement of power system regulation due to its large-scale energy storage capacity, efficient energy conversion efficiency and environmental friendliness. The study uses a mixed integer linear programming model to investigate the economics of compressed air energy storage (CAES) power plants through price arbitrage and FM service market participation strategies in the peak-to-valley tariff system. It is found that CAES power plants charge during low tariff hours and discharge during high tariff hours to maximize profits and provide services in the FM market to increase revenues. The power plant's operating strategy is constrained by factors such as power caps, capacity limits, and self-discharge rates, which need to be allocated appropriately among different markets to optimize overall revenue. The results show that CAES power stations can effectively enhance their economic returns by participating in both price arbitrage and FM service markets under the peak-to-valley tariff system.

关键词： Economics Frequency modulation Atmospheric modeling Tariffs Electricity supply industry Discharges (electric) mixed integer linear programming Resource management Power generation Energy storage

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Joint Routing, Channel, and Key-Rate Assignment for Resource-Efficient QKD Networking

Joint Routing, Channel, and Key-Rate Assignment for Resource...

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GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Qiaolun Zhang Omran Ayoub Alberto Gatto Jun Wu Xi Lin Francesco Musumeci Giacomo Verticale Massimo Tornatore Politecnico di Milano Italy University of Applied Sciences of Southern Switzerland Lugano Switzerland Shanghai Jiao Tong University China Shanghai Key Laboratory of Integrated Administration Technologies for Information Security Shanghai China

ISBN: (纸本)9781665435413

Quantum Key Distribution (QKD) is a recent technology for secure distribution of symmetric keys, which is currently being deployed to increase communications security against quantum attacks. However, the key rate achievable over a weak quantum signal is limited by the link performance (e.g., loss and noise) and propagation distance, especially in multi-node QKD networks, making it necessary to design a scheme to efficiently and timely distribute keys to the various nodes. In this work, we formulate, using a mixed integer linear programming (MILP) model, a novel Routing, Channel, and Key-rate Assignment (RCKA) problem for QKD with Quantum Key Pool (QKP), which exploits the opportunity of using trusted relays and optical bypass. Our formulation accounts for the possibility to build a quantum key distribution path that combines both quantum channels and trusted relays to increase the acceptance ratio of key rate requests. Leveraging different versions of the proposed MILP model, we evaluate several strategies exploiting different combinations of trusted relays and optical bypass for the RCKA problem. Results show how different trade-offs between security and resource-efficiency (expressed in terms of acceptance ratio of key rate requests vs. key storing rate in QKP) can be achieved when adopting trusted-relay and/or optical-bypass technologies. Trusted relays can provide a higher acceptance ratio when the number of QKD modules (transmitters or receivers) is sufficiently large, while optical bypass, which does not require the implementation of expensive trusted relays, is preferable when the number of QKD modules is a limiting factor.

关键词： Limiting Quantum channels Routing Propagation losses Optical receivers Quantum key distribution mixed integer linear programming

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A day-ahead generation scheduling with demand response considering thermal cycling ramp

A day-ahead generation scheduling with demand response consi...

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IEEE Conference on Energy Conversion (CENCON)

作者： Wen-Shan Tan Md Pauzi Abdullah Mohamed Shaaban Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia Dept. of Electrical & Electronic Engineering Universiti Malaysia Sarawak Kota Samarahan Sarawak Malaysia

While increasing the shares of renewables is necessary for the transition to fossil-free energy provision, new challenges of flexibility are associated therein. Consumer flexibility is crucial to accommodate variable generation and peak loads. This paper proposes a chance-constrained programming (CCP) based day-ahead generation scheduling, including variable wind generation while engaging demand response (DR). Cycling ramp cost is introduced in this paper as a penalty in the objective cost function, to model the operation and maintenance (O&M) costs, which lead to the reduction of the wear and tear of the generator. The cycling of conventional generation and the dispatch of adjustable load are utilized to enhance the load following and net load flattening capabilities. The chance constraint is then converted into an equivalent mixed-integer linear programming (MILP) expression by using the Projected Disjunctive Reformulation (PDR), to speed up the computational performance. Test results on a 6-bus system show the merits of the proposed scheduling model.

关键词： Load management Load modeling mixed integer linear programming Cost function Maintenance engineering Generators

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