Article
Green & Sustainable Science & Technology
Yan Zhang, Bak Koon Teoh, Limao Zhang
Summary: The paper proposes a hybrid approach integrating GIS and BN to deal with the location selection problem of charging stations for EVs. The transportation efficiency is identified as the most important factor in the location selection, more important than social and economic efficiency.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Urban Studies
Boniphace Kutela, Christian Mbuya, Suleiman Swai, Delphine Imanishimwe, Neema Langa
Summary: This study used Bayesian Networks to analyze the stated preferences of residents in Gilbert City, Arizona for Autonomous vehicles (AVs), and explored the association between AVs and other mobility options. The results showed that approximately 66% of respondents expressed a desire to use AVs. Respondents who were interested in using EV charging stations were more likely to want and use AVs. Among those who had differences between their intention and actual use of AVs, respondents who did not use dockless bikes had the largest percentage difference.
Article
Energy & Fuels
Mohammad Hasan Ghodusinejad, Younes Noorollahi, Rahim Zahedi
Summary: Driving conventional gasoline vehicles causes environmental degradation, so electric vehicles are emerging as an alternative due to their economical and environmentally friendly nature. However, one of the main drawbacks of electric vehicles is the recharging problem. To address this, a multi-criteria decision-making analysis approach based on GIS was used to select optimal charge station locations. The method was applied in Kish, Iran, and the results showed that the proposed model successfully identified suitable locations for charge stations that meet the demand for charging electric vehicles within a certain access distance.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Safae El Amrani, Niamat Ullah Ibne Hossain, Sofia Karam, Raed Jaradat, Farjana Nur, Michael A. Hamilton, Junfeng Ma
Summary: Supply chain sustainability (SCS) is an approach that considers the environmental, economic, and social aspects of the supply chain processes when designing a supply chain network. It is important to integrate sustainability practices in different phases of the supply chain and encourage organizations to orient their efforts toward designing sustainable supply chains. Results from the study show that economic sustainability has a slightly higher effect on the supply chain sustainability index (SCSI) prediction compared to the social criteria.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Civil
Sanchari Deb, Kari Tammi, Xiao-Zhi Gao, Karuna Kalita, Pinakeswar Mahanta, Sam Cross
Summary: This study proposes a two-stage planning model to determine charging station locations using fuzzy inference and Bayesian network, and employs a multi-objective framework and hybrid algorithm to obtain the Pareto front. Fuzzy decision making is used to compare Pareto optimal solutions, validating the efficacy of the model.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Construction & Building Technology
Jianghong Feng, Su Xiu Xu, Ming Li
Summary: An integrated multi-criteria decision-making method is developed using the LEW and FAD methods to select a suitable site for an EVCS. The method constructs an evaluation index system based on expert opinions, literature survey, and on-site investigation, and determines criteria weights to identify the optimal EVCS location. Sensitivity and comparative analyses demonstrate the stability, reliability, and robustness of the proposed method, highlighting its advantages over other MCDM methods.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Geosciences, Multidisciplinary
Craig David MacDonald, Lina Kattan, David Layzell
Summary: This study used a queuing model to evaluate the charging needs and impacts of electric vehicles before mass evacuations, finding that the current charging network capacity is insufficient to meet the demand of all vehicles. Providing early evacuation notices, increasing the number of charging stations, and balancing the types of fast-charging facilities were effective ways to increase the number of EVs receiving adequate charging before departure.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Transportation Science & Technology
Frederik Boe Huttel, Filipe Rodrigues, Francisco Camara Pereira
Summary: Electric vehicle charging demand models based on charging records are biased towards available chargers and fail to account for demand lost due to occupied charging stations and competition. We propose using censorship-aware models that consider demand censoring to better estimate the true demand and improve prediction and uncertainty estimation of actual demand.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Multidisciplinary Sciences
Yang Zhao, Zhenpo Wang, Zuo-Jun Max Shen, Fengchun Sun
Summary: The research reveals that blindly increasing the battery energy of urban EVs could be detrimental to sustainable development, especially with large-scale EV utilization, and seasonal shifts may exacerbate the impact of changes in energy consumption of EVs. For instance, even with a constant monthly driving demand, the average energy consumption of Beijing light-duty EVs could change by up to 21% during winter-spring shifts. The findings may also be useful for research on battery resources, urban power supply, environmental impacts, and policymaking.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Review
Environmental Sciences
Jason Banegas, Jamal Mamkhezri
Summary: This paper systematically reviews research on geographic information systems (GIS)-based techniques for electric vehicle charging station (EVCS) site selection. After evaluating research published from 2010 to March 2023, 74 papers were selected. The results indicate that map algebra and data overlay methods are commonly used in GIS-based analysis, and geographic and demographic variables are important for site selection. The current literature lacks exploration of transferring these techniques to rural EVCS site selection, thus this research assessment provides relevant guidance for policymaking and future research recommendations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Qiushuang Wei, Chao Zhou
Summary: This paper provides insights into electric vehicle supplier selection from the perspective of government agencies and public bodies using an integrated multi-criteria decision-making framework. Through a case study and analysis, it determines the importance of criteria such as bad environmental record, cost, quality, service, and environmental initiatives in electric vehicle supplier selection.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Transportation Science & Technology
Ehsan Mahyari, Nickolas Freeman, Mesut Yavuz
Summary: The past decade has seen a growing interest in transportation electrification from academia, government, and industry. Fleet operators are currently facing a challenge in charge scheduling due to fleet size, heterogeneity, and uncertainty, leading to the emergence of the Charging-as-a-Service (CaaS) industry. This paper addresses the CaaS providers' electric vehicle fleet (EVF) charge scheduling problem and proposes an optimization approach that outperforms industry benchmarks in terms of charging costs and energy consumption.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Arman Nedjati, Mohammad Yazdi, Rouzbeh Abbassi
Summary: The study highlights the hazardous effects of air pollution in cities on the environment and human health, emphasizing the need for sustainable urban development. It explores the use of both mobile and immobile air-purifiers to improve air quality, utilizing Bayesian networks, MCDM, and optimization techniques to determine optimal site locations for air-purifier stations in metropolitan areas. By investigating critical factors and comparing decision-making approaches, the research provides insights for decision-makers to prioritize locations based on environmental and operational constraints.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Operations Research & Management Science
Ziaul Haq Adnan, Kaustov Chakraborty, Surajit Bag, Jy S. Wu
Summary: In order to reduce carbon emissions and achieve sustainable development, the promotion of electric vehicles is necessary. However, the literature on the electric vehicle supply chain has significant research gaps, particularly in terms of competition, game structures, decision variables, and green investment. This study examines two competing electric vehicle supply chains, each consisting of a manufacturer and a retailer. The supply chain members aim to maximize profits. The manufacturer determines the wholesale price and the green level of the product, while the retailer or distributor determines the retail selling price. The market demand is price-sensitive and influenced by consumers' green awareness and brand reputation of green products. This study derives optimal decisions for the supply chain using three game-theoretical approaches, representing different power dynamics in the market. The results, presented through propositions and corollaries, along with numerical simulations, provide insights into the optimal pricing and green investment strategies for electric vehicle businesses under various market scenarios.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Miguel Angel Mendoza-Lugo, Oswaldo Morales-Napoles
Summary: This study investigates the use of hazard maps to identify critical locations associated with extreme vehicle load events. A methodology is proposed to estimate axle loads and map extreme gross vehicle weights using data from less-sophisticated traffic counters. A case study focusing on major highway corridors in Mexico is presented to demonstrate the feasibility of this approach. The study findings facilitate the identification of hazardous locations and provide tools for generating synthetic axle loads, serving as the foundation for maintenance strategies for existing roads and bridges.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)