Article
Computer Science, Information Systems
Zhanzhong Wang, Yan Wang, Yuling Jiao
Summary: In this study, a multi-objective hazardous materials transport route planning model considering road traffic resilience and low carbon is proposed. This model fills the research gap in the field of low carbon hazardous material transportation and is the first to consider road traffic resilience as a weight factor for risk calculation. An improved ant colony optimization algorithm (ACO) is designed to obtain the pareto optimal solution set, which shows better solution quality and space compared to genetic algorithm and simulated annealing algorithm.
Article
Engineering, Multidisciplinary
Lukai Zhang, Xuesong Feng
Summary: This study proposes an integrated approach to plan tank-truck shipments of hazardous materials in intercity road networks, defining risk indicators and studying a network consisting of local distribution and long-distance transportation sub-networks. The study presents advantages in method innovation and engineering operation through the development of algorithms and a case study in East China.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Green & Sustainable Science & Technology
Liping Liu, Jiaming Li, Lei Zhou, Tijun Fan, Shuxia Li
Summary: This study presents a hazmat transportation route optimization model considering risk equity, minimizing total compensation cost to achieve risk fairness. The results support the necessity of considering risk equity in transportation route optimization for hazardous materials and show that the model and algorithm can find an optimal route satisfying the expectations of government, carriers, and the public.
Article
Engineering, Multidisciplinary
Li Xie, Chengxuan Cao
Summary: This article studies the multi-modal and multi-route transportation problem for hazardous materials under uncertainty, proposing an interval 0-1 integer programming model and utilizing a genetic algorithm for solving. Through a real-world case study, the model and algorithm are demonstrated to be rational and effective.
ENGINEERING OPTIMIZATION
(2021)
Article
Engineering, Industrial
Xiaofeng Xu, Ziru Lin, Xiang Li, Changjing Shang, Qiang Shen
Summary: This study addresses the refined oil distribution problem with shortages using a multi-objective optimization approach, including a robust optimization model (ROM) to manage uncertainty in demand and a multi-objective particle swarm optimization (MOPSO) algorithm. Results show that these models and algorithms effectively improve station satisfaction, reduce operation costs and overtime penalties, providing possibilities for the efficient distribution of scarce resources.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Chemical
Yang Wang, Nitin Roy, Bin Zhang
Summary: This study focuses on optimizing and improving the routes of trucks carrying hazardous materials, taking into account the risk, transportation cost, and factors such as buildings and emergency facilities in the network. A Geographic Information System (GIS) is used to quantify factors in each network section. A multi-objective mixed-integer linear programming optimization model is proposed to find robust and stable transportation optimization solutions.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2023)
Article
Computer Science, Interdisciplinary Applications
Huixia Cui, Jianlong Qiu, Jinde Cao, Ming Guo, Xiangyong Chen, Sergey Gorbachev
Summary: This study proposes a new adaptive genetic algorithm to solve issues regarding the timeliness and high cost of logistics distribution in the logistics economy. A large neighborhood search algorithm is introduced to enhance local optimization ability. Additionally, a soft time window town logistics distribution model considering optimal cost and customer satisfaction is established. Experimental results demonstrate the effectiveness of the proposed adaptive genetic algorithm.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Mathematics
Wanida Limmun, Boonorm Chomtee, John J. Borkowski
Summary: In this research, a multi-objective genetic algorithm is proposed as a practical alternative for generating optimal mixture designs that remain robust in the face of missing observation. The algorithm prioritizes designs with superior D-efficiency and minimum D-efficiency to handle the challenge of missing observations. The study focuses on problems with three mixture components and an irregularly shaped experimental region. The designs have shown to be D-optimal designs with exceptional performance in terms of D-efficiency and robustness to missing observations. A well-distributed set of optimal designs derived from the Pareto front is provided, enabling experimenters to select the most suitable design based on their priorities using the desirability function.
Article
Engineering, Electrical & Electronic
Omniyah Gul M. Khan, Amr Youssef, Magdy Salama, Ehab El-Saadany
Summary: Increased penetration of heavy loads is expected to cause congestion in distribution networks. A multi-objective optimization approach is proposed to schedule flexible load and alleviate potential congestion by minimizing consumers' electricity cost and decreasing the peak to average ratio of the load curve. Uncertainty analysis is performed to ensure the effectiveness of the proposed congestion management scheme. The results show that the proposed framework outperforms the existing scheme in terms of price reduction, load curve flattening, and congestion alleviation.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Industrial
Jian Guo, Cheng Luo, Kaijiang Ma
Summary: This paper studies the risk coupling problems in hazardous material transportation safety in coastal areas by analyzing 362 accidents. The results show that the risk of hazardous materials transportation has a gradually increasing trend with the increase of risk coupling factors. The risk coupling of driver factors and road environmental factors leads to a high probability of accidents.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Electrical & Electronic
Lingling Luo, Fang Chen
Summary: In the growth of Industry 4.0, logistics plays a critical role in optimizing production-related processes. This study investigates a multi-objective optimization approach based on a hybrid genetic algorithm for logistics distribution route synthesis. The results show that this strategy successfully addresses the difficulties in contemporary logistics distribution paths and may be used to optimize logistics distribution routes by production-based enterprises in Industry 4.0.
IETE JOURNAL OF RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Minghui Zhao, Yongpeng Zhao, Changxi Ma, Xu Wu
Summary: This study develops a robust optimization model for multi-school mixed-load school bus routes, considering the minimum travel time of students and the total operating cost of school buses as optimization goals. By using the NSGA-II algorithm, a high-performance vehicle driving route can be rapidly generated.
ENGINEERING LETTERS
(2022)
Article
Computer Science, Interdisciplinary Applications
Marco Civera, Marica Leonarda Pecorelli, Rosario Ceravolo, Cecilia Surace, Luca Zanotti Fragonara
Summary: This study introduces a new approach based on multi-objective optimization and genetic algorithms for a sensor configuration strategy driven by damage scenarios. The aim is to enhance the robustness of sensor placement for damage detection after potential catastrophic events. The strategy is tested on the bell tower of the Santa Maria and San Giovenale Cathedral in Fossano, Italy, and compared to other classic strategies and a standard GA approach with a single objective function.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Engineering, Civil
Lukai Zhang, Naifu Deng, Yingping Wang, Xiaoyan Ma, Maosen Lin, Peng Zhang
Summary: The goal of this study is to mitigate sustainability risks associated with hazmat transport processes by combining route planning of hazmat shipments with location for emergency response centers in a road hazmat transport network and proposing a new subsidy policy. A bi-level programming model is established and a genetic algorithm is developed to solve the problem. Computational experiments validate the effectiveness of the proposed method.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Nasrin Mohabbati-Kalejahi, Alexander Vinel
Summary: This paper introduces a new mathematical model for hazmat closed-loop supply chain network design, aiming to minimize costs and risk exposure by including forward and backward echelons as well as emergency response team positioning.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Engineering, Electrical & Electronic
Wang Xiang, Saizhao Yang, Lie Xu, Junjie Zhang, Weixing Lin, Jinyu Wen
IEEE TRANSACTIONS ON POWER DELIVERY
(2019)
Article
Green & Sustainable Science & Technology
Shuai Cao, Wang Xiang, Xiaojun Lu, Weixing Lin, Wenping Zuo, Kai Zhang, Jinyu Wen, Xin Zhang
IET RENEWABLE POWER GENERATION
(2020)
Article
Green & Sustainable Science & Technology
Wang Xiang, Saizhao Yang, Jinyu Wen
IET RENEWABLE POWER GENERATION
(2020)
Article
Engineering, Electrical & Electronic
Saizhao Yang, Wang Xiang, Xiaojun Lu, Wenping Zuo, Jinyu Wen
IEEE TRANSACTIONS ON POWER DELIVERY
(2020)
Article
Green & Sustainable Science & Technology
Kai Huang, Wang Xiang, Lie Xu, Yi Wang
IET RENEWABLE POWER GENERATION
(2020)
Article
Engineering, Electrical & Electronic
Binye Ni, Wang Xiang, Meng Zhou, Xiaojun Lu, Wenping Zuo, Wei Yao, Jinyu Wen
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Saizhao Yang, Wang Xiang, Rui Li, Xiaojun Lu, Wenping Zuo, Jinyu Wen
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
Wang Xiang, Ruizhang Yang, Chang Lin, Jiapei Zhou, Jinyu Wen, Weixing Lin
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
Binye Ni, Wang Xiang, Meng Zhou, Wenping Zuo, Wei Yao, Weixing Lin, Jinyu Wen
Summary: This study proposes an adaptive fault current limiting control scheme for modular multilevel converters, which enables fast fault current suppression during DC faults with better performance compared to existing methods. By adaptively reducing the output DC voltages of MMCs, the fault current can be effectively suppressed. Simulation results demonstrate the effectiveness of the control scheme.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Engineering, Electrical & Electronic
Xiaojun Lu, Wang Xiang, Weixing Lin, Jinyu Wen
Summary: This article conducts a comparative study of small-signal stability characteristics for three typical VSCs under weak ac system integration, proposes proper parameter retuning approaches for stability enhancement, and adequately validates the analysis through electromagnetic simulations.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Wang Xiang, Saizhao Yang, Grain Philip Adam, Haobo Zhang, Wenping Zuo, Jinyu Wen
Summary: This article reviews the state-of-the-art dc fault protection methods of MMC-HVdc grids, analyzing the characteristics of fault protection and comparing existing methods. The effectiveness of protection methods is tested through the development of a two-terminal MMC-HVdc prototype and comprehensive quantitative assessments in a four-terminal MMC-HVdc grid. The future trends of protection schemes are discussed and conclusions are drawn from the findings.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Energy & Fuels
Wang Xiang, Weijia Yuan, Lie Xu, Eoin Hodge, John Fitzgerald, Paul McKeever, Keith Bell
Summary: This paper presents a feasibility study of an offshore wind farm HVDC integration system using high-temperature superconductor DC cables. The proposed system shows effective current limiting capability against fast DC fault transients.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Engineering, Electrical & Electronic
Saizhao Yang, Wang Xiang, Jinyu Wen
Summary: The MMC based DC grids are effective for integrating bulk wind power. This study proposes an improved DC fault detection scheme using zone partition and traveling-wave polarities, ensuring the safe operation of multi-terminal DC wind power integration systems during fault isolation.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Yongjie He, Wang Xiang, Binye Ni, Xiaojun Lu, Jinyu Wen
Summary: This paper investigates the stability problem of cascaded hybrid LCC-MMC inverter under weak AC systems integration and establishes a corresponding small-signal model. The validity of the supplementary coupling mitigation control is verified through analysis and simulation.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Haobo Zhang, Wang Xiang, Weixing Lin, Jinyu Wen
Summary: This paper reviews and compares existing grid forming (GFM) control methods for grid-tied converters, aiming to improve dynamic performance and stability. The traditional grid following (GFL) control faces issues such as lacking grid support capability and low stability, while emerging GFM control methods have been proposed to address these issues. However, challenges exist for the future application of GFM converters.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
