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Joint optimization of electric bus charging and energy storage system scheduling

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Frontiers of Engineering Management 2024年第4期11卷 676-696页

作者： Lingshu ZHONG Ziling ZENG Zikang HUANG Xiaowei SHI Yiming BIE School of Systems Science and Engineering Sun Yat-Sen UniversityGuangzhou 510399China Department of Architecture and Civil Engineering Chalmers University of TechnologyGothenburg SE-41296Sweden School of Civil Engineering and Transportation South China University of TechnologyGuangzhou 510641China Department of Civil and Environmental Engineering University of Wisconsin-MilwaukeeMilwaukeeWI 53211United States School of Transportation Jilin UniversityChangchun 130012China

The widespread use of energy storage systems in electric bus transit centers presents new opportunities and challenges for bus charging and transit center energy management.A unified optimization model is proposed to jointly optimize the bus charging plan and energy storage system power *** model optimizes overall costs by considering battery aging,time-of-use tariffs,and capacity service *** model is linearized by a series of relaxations of the nonlinear *** means that we can obtain the exact solution of the model quickly with a commercial solver that is fully adapted to the time scale of day-ahead *** numerical simulations demonstrate that the proposed method can optimize the bus charging time,charging power,and power profile of energy storage systems in *** Carlo simulations reveal that the proposed method significantly reduces the cost and has sufficient robustness to uncertain fluctuations in photovoltaics and office loads.

关键词： electric vehicle energy storage mixed integer nonlinear programming Monte Carlo simulations public transit

Hierarchical On-line Scheduling of Multiproduct Batch Plants with a Combined Approach of Mathematical programming and Genetic Algorithm

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Chinese Journal of Chemical Engineering 2004年第1期12卷 78-84页

作者：陈理王克峰徐霄羽姚平经 Institute of Process Systems Engineering School of Chemical Engineering Dalian University of Technology Dalian 116012 China Department of Chemistry & Chemical Engineering Dalian UniversityDalian 116622China Institute of Process Systems Engineering School of Chemical Engineering Dalian University of Technology Dalian 116012 China Department of Chemistry University of UTAH Salt Lake City UT 84112-2020 USA

In this contribution we present an online scheduling algorithm for a real world multiproduct batch plant. The overall mixed integer nonlinear programming (MINLP) problem is hierarchically structured into a mixed integer linear programming (MILP) problem first and then a reduced dimensional MINLP problem, which are optimized by mathematical programming (MP) and genetic algorithm (GA) respectively. The basis idea relies on combining MP with GA to exploit their complementary capacity. The key features of the hierarchical model are explained and illustrated with some real world cases from the multiproduct batch plants.

关键词： online scheduling multiproduct batch plant mixed integer nonlinear programming mathematical programming genetic algorithm

Simulated Annealing Approach to the Optimal Synthesis of Distillation Column with Intermediate Heat Exchangers

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Chinese Journal of Chemical Engineering 2008年第1期16卷 30-35页

作者：安维中于凤娟董凤蕾胡仰栋 Department of Chemical Engineering Ocean University of China Qingdao 266100 China

This article presents a simulated annealing-based approach to the optimal synthesis of distillation column considering intermediate heat exchangers arrangements. T-he number of intermediate condensers and/or intermediate reboilers, the placement locations, *** pressure of column, and the heat duties of intermediate heat exchangers are treated as optimization variables. A novel coding procedure making use of an integer number series is proposed to represent and manipulate the structure of system and a stage-to-stage method is used for column design and cost calculation. With the representation procedure, the synthesis problem is formulated as a mixed integer nonlinear programming （MINLP） problem, which can then be solved with an improved simulated annealing algorithm. Two examples are illustrated to show the effectiveness of the suggested approach.

关键词： distillation intermediate heat exchanger synthesis mixed integer nonlinear programming simulated annealing

Modeling and Multi-objective Optimization of Refinery Hydrogen Network

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Chinese Journal of Chemical Engineering 2011年第6期19卷 990-998页

作者：焦云强苏宏业廖祖维侯卫锋 State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China State Key Laboratory of Chemical Engineering Department of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China Zhejiang ＂Supcon Software Co. Ltd. Hangzhou 310053 China

The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming （MINLP）. A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.

关键词： refinery multi-objective optimization hydrogen network mixed integer nonlinear programming

Integrated Optimization of Timetable and Rolling Stock Circulation under mixed Usages of Short-length and Full-length Services in Urban Rail Transit

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Journal of Harbin Institute of Technology(New Series) 2024年第6期31卷 1-15页

作者： Jing Teng Jinke Gao Pengling Wang College of Transportation Engineering Tongji UniversityShanghai 201804China Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety Tongji UniversityShanghai 201804China Shanghai Collaborative Innovation Research Center for Multi-Network&Multi-Modal Rail Transit Tongji UniversityShanghai 201804China

The rapid growth of passenger flow in urban rail transit has led to great service pressures for metro companies in organizing train services to provide higher transportation capacities in order to satisfy passengers' travel demand, especially on those metro lines with insufficient rolling stock. In order to cope with high passenger flow service pressure, a mixed integer nonlinear programming(MINLP) model is proposed to optimize the line plan, timetable and rolling stock circulation simultaneously, to reduce the number of rolling stocks and increase the number of full-length services. A two-step algorithm strategy is proposed. In the first stage, the train timetable is optimized under the assumption that all the train services are the full-length services. In the second stage, the rolling stock plan is optimized based on the timetable optimized in the first stage. To ensure a feasible rolling stock circulation, certain full-length services are shortened to the short-length services due to the limited number of rolling stocks. Numerical experiments are performed based on the real-life data of Shanghai Metro Line 8. Results show that the proposed method can efficiently optimize the timetable and rolling stock circulation of the whole operation day. The optimized results are beneficial for both the service and the operational costs.

关键词： urban rail transit mixed integer nonlinear programming timetable design rolling stock circulation

Evacuation Problem Under the Nuclear Leakage Accident

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Evacuation Problem Under the Nuclear Leakage Accident