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IEEE 20th International Conference on Automation Science and Engineering (CASE)

作者： Zhong, Peitang Zou, Kun Zhao, Ziyan Liu, Shixin Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China

ISBN: (纸本)9798350358513;9798350358520

Hot rolling is a typical industrial process with equipment performance degradation. Slabs to be rolled have specific equipment performance requirements and would cause different degrees of equipment performance degradation. Quantifying equipment performance to explore its impact on production scheduling has rarely been considered in existing work. In this paper, a new hot-rolling scheduling problem is tackled where the quantifying roller performance is considered. It aims to minimize the maximum completion time and the performance renewal cost. A mixed integer linear programming model is formulated for the problem. An improved discrete JAYA algorithm is proposed to effectively solve it. Experimental results show that the proposed algorithm performs well in solving the concerned problem, betters competitive peers, and shows great potential to be used in practice.

关键词： Performance degradation hot rolling scheduling mixed integer linear programming model metaheuristic algorithm

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Single Machine Scheduling Problem With a Weight-Modifying-Activity to Minimize the Total Weighted Completion Time

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IEEE ACCESS 2022年 10卷 45444-45456页

作者： Chen, Yarong Guan, Zailin Tsai, Ya-Chih Chou, Fuh-Der Huazhong Univ Sci & Technol Coll Mech Sci & Engn Wuhan 430074 Peoples R China Wenzhou Univ Coll Mech & Elect Engn Wenzhou 325035 Zhejiang Peoples R China Vanung Univ Dept Hotel Management Taoyuan 32061 Taiwan

The single-machine scheduling problem with a weight-modifying-activity (WMA) to minimize the total weighted completion time was initially addressed by Mosheiov and Oron in 2020, where the activity was an option, and once the activity was performed, the weights of the subsequent jobs become decreased. This problem has proven to be NP-hard. Following their study, we propose two mixed integer linear programming models (model_1 and model_2). Based on some optimality properties, a heuristic algorithm with swap and insert procedures is developed. The computation results indicate that model_2 can optimally solve problems of up to 40 jobs efficiently, while the average relative percentage of error and hit rate of the proposed heuristic is 0.0005% and 98.2%, respectively. The influence of parameters, such as the number of jobs, the adjusted coefficient for the job weight, and the time of the WMA, on the performance of the proposed methods, are also analyzed.

关键词： Heuristic algorithms Costs Computational modeling Single machine scheduling Schedules Production mixed integer linear programming Heuristic algorithm mixed integer linear programming model single-machine scheduling weight-modifying activity

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A risk-based resilient distribution system planning model against extreme weather events

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IET RENEWABLE POWER GENERATION 2022年第10期16卷 2125-2135页

作者： Zare-Bahramabadi, Majid Ehsan, Mehdi Farzin, Hossein Sharif Univ Technol Dept Elect Engn Ctr Excellence Power Syst Management & Control Tehran *** Iran Shahid Qumran Univ Ahvaz Fac Engn Ahvaz Iran

Due to the accelerated climate change, it is anticipated that the number and severity of natural disasters such as hurricanes, blizzards, and floods will be increased in the coming years. In this regard, this paper presents a distribution system planning model to improve the system resilience against hurricane. A scenario-based mathematical model is proposed to capture the random nature of weather events. Moreover, a stochastic optimization model is developed to simultaneously harden the distribution lines and place different types of distributed generation (DG) units such as microturbines (MTs), wind turbines (WTs), and photovoltaic cells (PVs). The conditional value at risk (CVaR) is used as a risk index to manage the system risk against different failure scenarios. The problem is formulated as a mixed integer linear programming (MILP) model that can be solved by various commercial solvers. Finally, to illustrate the effectiveness of the proposed model, it is implemented on the IEEE 33 bus system, and various case studies are defined. The results show the effectiveness of our mathematical model in improving the distribution system resiliency and managing the system risk.

关键词： distributed power generation linear programming scenario-based mathematical model stochastic optimization model mixed integer linear programming model risk-based resilient distribution system planning model distribution system resiliency integer programming natural disasters disasters risk index extreme weather events system risk accelerated climate change different failure scenarios distribution lines system resilience wind turbines distributed generation units IEEE 33 bus system hurricane

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A Stochastic Optimal Planning Methodology for User-side Energy System with Multiple Energy Forms

A Stochastic Optimal Planning Methodology for User-side Ener...

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IEEE/IAS Industrial and Commercial Power System Asia (IEEE I and CPS Asia)

作者： Liu, Jia Yu, Mojiang Tang, Zao Tang, Yi Zeng, Pingliang Southeast Univ Liyang Res Inst Liyang 213300 Peoples R China Southeast Univ Sch Elect Engn Nanjing 210096 Peoples R China Hangzhou Dianzi Univ Dept Automat Hangzhou 310038 Peoples R China

ISBN: (纸本)9798350339345

Developing a user-side integrated energy system holds significant importance in advancing China's energy revolution. However, the complexity of such systems, consisting of numerous interconnected forms of energy, presents a daunting challenge for optimal planning. This manuscript proposes a stochastic mixed integer linear programming model to tackle this challenge and plan user-side integrated energy systems effectively. The model's objective function aims to minimize investment costs in the system's surge phase. Separate operating constraint models are established for the electrical, heat, cooling, and gas equipment involved. Commercial solving software is employed to obtain optimized solutions based on typical scenarios. The proposed model offers the best planning scenario, including equipment type and capacity, and operational strategies. The model is then applied to the planning of user-side integrated energy systems, verifying the effectiveness of the model and its solution methodology.

关键词： Renewable energy stochastic planning user-side integrated energy system mixed integer linear programming model

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Heuristic approach for the multiobjective optimization of the customized bus scheduling problem

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IET INTELLIGENT TRANSPORT SYSTEMS 2022年第3期16卷 277-291页

作者： Liu, Kaijun Liu, Jianming Zhang, Jingwei Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China

Customized bus is a typical demand-responsive transit (DRT) service that allows passengers to customize their bus route on demand and be picked up and dropped off at their desired location. A set of ride requests sent at various times by geographically dispersed passengers are operated in real time by the controller and then assigned to the shared bus with the assurance of maintaining the minimum vehicle and driver costs, which introduces a new challenge to scheduling. In this paper, a mixed integer linear programming (MILP) model is presented to solve the customized bus scheduling problem. To quickly generate satisfactory scheduling solutions in the case of single- and multi-depots, a heuristic multi-objective optimization algorithm based on preemptive scheduling is proposed, which can converge to the optimal solution among a set of vehicle blocks (consecutive trips by one bus). A real-world customized bus scheduling problem from the public transport company of Chengdu, China that contains 2,000-trip instances operated on a day is used to demonstrate that the proposed approach reduces total operating costs by 30.51% and 30.71%, compared with the simulated annealing algorithm and genetic algorithm, respectively.

关键词： linear programming geographically dispersed passengers mixed integer linear programming model public transport integer programming optimisation multiobjective optimization algorithm driver costs satisfactory scheduling solutions vehicle routing one bus preemptive scheduling typical demand-responsive transit bus route scheduling customized bus scheduling problem minimum vehicle simulated annealing shared bus genetic algorithms

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An optimization approach to design forest road networks and plan timber transportation

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OPERATIONAL RESEARCH 2022年第3期22卷 2973-3001页

作者： Mesquita, Marta Marques, Susete Marques, Marlene Marto, Marco Constantino, Miguel Borges, Jose G. Univ Lisbon Fac Ciencias Ctr Matemat Aplicacoes Fundamentais & Invest Oper C6 Campo Grande P-1749016 Lisbon Portugal Ctr Estudos Florestais & Lab TERRA P-1349017 Lisbon Portugal Univ Lisbon Inst Super Agron P-1349017 Lisbon Portugal Univ Lisbon Fac Ciencias DEIO C6 Campo Grande P-1749016 Lisbon Portugal

The provision of ecosystem services depends on the landscape-level distribution of forest management options over extended planning horizons. Nevertheless, transportation costs are an important fraction of total procurement costs. Therefore, forest managers are challenged by the need to make decisions regarding the design of the road network needed to have access to forest management units (e.g., stands) as well as the transportation of forest products over this network. The objective of this research is to develop an approach to integrate the design and maintenance of a forest roads' network and to provide solutions to the timber loading location site and the timber transportation problems. The emphasis is on the combination of mathematical programming formulations and heuristic solution techniques to minimize the sum of road building, road maintenance, timber loading and transportation costs. Specifically, a mixed integer programming model is built to represent the problem while a heuristic algorithm, based on a Graph Simplification procedure and a big-M Estimation procedure, is proposed to solve the underlying optimization problem. Results from an application to a large-scale forest management problem in Northwest Portugal involving 1137 management units are discussed. Results suggest that this approach may help address efficiently the need by forest managers to integrate road design, road maintenance, timber loading location and transportation concerns.

关键词： Forest road network design Road building Road maintenance Timber transportation mixed integer linear programming model Big-M estimation procedure

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Scheduling aerial resource operations for the extinction of large-scale wildfires?

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OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 2024年 122卷

作者： Skorin-Kapov, Nina Mesaric, Luka Garcia, Fernando Pereniguez Skorin-Kapov, Lea Tech Univ Cartagena Univ Ctr Def Murcia Spain Univ Zagreb Fac Elect Engn & Comp Zagreb Croatia

The significant increase in large-scale wildfire events in recent decades, caused primarily by climate change, has resulted in a growing number of aerial resources being used in suppression efforts. Present-day management lacks efficient and scalable algorithms for complex aerial resource allocation and scheduling for the extinction of such fires, which is crucial to ensuring safety while maximizing the efficiency of operations. In this work, we present a mixed integer linear programming (MILP) optimization model tailored to large-scale wildfires for the daily scheduling of aerial operations. The main objective is to achieve a prioritized target water flow over all areas of operation and all time periods. Minimal target completion across individual areas and time periods and total water output are also maximized as secondary and ternary objectives, respectively. An efficient and scalable multi-start heuristic, combining a randomized greedy approach with simulated annealing employing large neighborhood search techniques, is proposed for larger instances. A diverse set of problem instances is generated with varying sizes and extinction strategies to test the approaches. Results indicate that the heuristic can achieve (near)-optimal solutions for smaller instances solvable by the MILP, and gives solutions approaching target water flows for larger problem sizes. The algorithm is parallelizable and has been shown to give promising results in a small number of iterations, making it applicable for both night-before planning and, more time-sensitive, early-morning scheduling.

关键词： Aerial firefighting Scheduling mixed integer linear programming model Randomized greedy heuristic Simulated annealing

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Optimization of Active Distribution Network Operation with SOP Considering Reverse Power Flow

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APPLIED SCIENCES-BASEL 2024年第24期14卷 11797页

作者： Ma, Zhanhui Cao, Fang North China Elect Power Univ Sch Elect & Elect Engn Beijing 102206 Peoples R China

As the penetration of distributed renewable energy increases, the phenomenon of bidirectional power flow in distribution networks becomes increasingly severe. Traditional regulation devices like OLTC (on-load tap changer) and CB (capacitor bank) cannot effectively mitigate reverse power flow in distribution networks due to their limitations. The transmission capacity of the distribution network under reverse power flow is approximately 50% of the rated capacity of the OLTC, leading to issues such as voltage limit violations and high wind and solar curtailment rates. This paper proposes a method for calculating the reverse power flow delivery capacity of distribution networks, quantitatively describing the distribution network's delivery limits for reverse power flow. Based on this, a joint optimization model for multiple distribution networks with an SOP is established. The SOP is utilized to share reverse power flow delivery capacity among multiple distribution networks, enhancing operational economy and increasing the accommodation of the DG. Finally, the method's effectiveness and correctness are verified in the IEEE 33-node system. The results validate that while joint operation does not enhance the reverse flow transmission capacity of a single distribution network, it can, through the shared reverse flow transmission capacity approach, elevate the reverse flow transmission capacity to approximately 70% during the majority of time periods.

关键词： distribution network soft open point power electronic devices reliability evaluation method mixed integer linear programming model

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Optimization of the Tie Lines in Urban Distribution Network Based on Two-Tie Connection Mode 4

Optimization of the Tie Lines in Urban Distribution Network ...

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4th Asia Energy and Electrical Engineering Symposium (AEEES)

作者： Sun, Huazhong Li, Zongxuan Fang, Zhen Wang, Mingqiang Cui, Juan Weifang Power Supply Co State Grid Shandong Elect Power Co Weifang Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China Shandong Univ Jinan Peoples R China Weifang Vocat Coll Weifang Peoples R China

ISBN: (纸本)9781665479141

Urban distribution network planning is a combinatorial optimization issue that requires consideration of many actual factors to make the planning more practical. It is difficult and time-consuming to artificially determine the feeder routing for a new urban area. In this paper, the tie line optimization model for urban distribution network based on the two-tie connection mode is researched. Firstly, we analysis the commonly used connection mode in current urban distribution network, and then present the planning strategy considering street layout to realize the optimization of tie lines in distribution network based on the two-tie connection mode units. Finally, we develop a mixed integer linear programming model for the optimization of tie lines which can be solved analytically. The validity and effectiveness of the proposed model are illustrated on a real 39-block district distribution system.

关键词： urban distribution network planning practical two-tie connection mode tie lines mixed integer linear programming model

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Production and transport scheduling in flexible job shop manufacturing systems

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JOURNAL OF GLOBAL OPTIMIZATION 2021年第2期79卷 463-502页

作者： Homayouni, Seyed Mahdi Fontes, Dalila B. M. M. LIAAD INESC TEC Porto Portugal Islamic Azad Univ Dept Ind Engn Lenjan Branch Esfahan Iran Univ Porto Fac Econ Porto Portugal

This paper addresses an extension of the flexible job shop scheduling problem by considering that jobs need to be moved around the shop-floor by a set of vehicles. Thus, this problem involves assigning each production operation to one of the alternative machines, finding the sequence of operations for each machine, assigning each transport task to one of the vehicles, and finding the sequence of transport tasks for each vehicle, simultaneously. Transportation is usually neglected in the literature and when considered, an unlimited number of vehicles is, typically, assumed. Here, we propose the first mixed integer linear programming model for this problem and show its efficiency at solving small-sized instances to optimality. In addition, and due to the NP-hard nature of the problem, we propose a local search based heuristic that the computational experiments show to be effective, efficient, and robust.

关键词： Flexible job shop Transport mixed integer linear programming model Late acceptance hill climbing

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