Article
Computer Science, Hardware & Architecture
Yanru Zhang, Feng Hong, Yan Wang, Zhi Liu, Yingjie Zhou, Zheng Chang, George Chen
Summary: This article discusses the potential of using edge intelligence to optimize PEV charging pricing strategies, aiming to address issues such as poor operation of charging stations, degraded user experience, and enable service providers to generate decent profits.
Article
Construction & Building Technology
Alireza Khaksari, Georgios Tsaousoglou, Prodromos Makris, Konstantinos Steriotis, Nikolaos Efthymiopoulos, Emmanouel Varvarigos
Summary: The increasing adoption of electric vehicles is linking the transportation and electricity systems through charging stations. Smart Charging technologies have the potential to reduce operational costs and optimize the use of charging facilities, improving service quality for clients.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Electrical & Electronic
B. Basta, W. G. Morsi
Summary: This study assesses the harmonic emission from fast charging stations, showing that chargers from different manufacturers may have different contributions to harmonic current distortion levels, along with differences in time-frequency spectra. The new three-phase power quantities developed in this study are useful in identifying chargers with high contributions to both low-order and high-order harmonics distortion.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Civil
Sahar Seyyedeh Barhagh, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Miadreza Shafie-Khah
Summary: This paper proposes an uncertainty-based optimization framework for optimal planning of electrical vehicle charging stations. By considering the uncertainties in different resources, as well as in the state of charge of electric vehicles and electricity load, the proposed model can provide the best planning solution for power distribution systems and gain financial profit.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Marco Casini, Antonio Vicino, Giovanni Gino Zanvettor
Summary: This paper addresses the peak power minimization problem for plug-in charging stations using a chance constraint approach, and provides numerical simulations to evaluate and compare the performance of the proposed method with other techniques.
Article
Computer Science, Artificial Intelligence
Sven Schoenberg, Dominik S. Buse, Falko Dressler
Summary: The popularity of electric vehicles is increasing, but there is still a lack of public charging infrastructure. A new approach for siting and sizing charging infrastructure is introduced to reduce extra time spent on charging during everyday trips. By analyzing daily schedules of drivers, suitable locations for slow and fast charging stations are identified. Simulation testing is conducted to determine the number of charge points to assign to each charging station. The use of a centralized charging station database (CSDB) helps coordinate charging between vehicles, reducing waiting times at charging stations and the necessary number of charge points.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2023)
Article
Green & Sustainable Science & Technology
Abdelrahman Amer, Ahmed Azab, Maher A. Azzouz, Ahmed S. A. Awad
Summary: This paper proposes a planning framework for siting and sizing SWTs and FCSs in urban and suburban areas considering specific factors, and introduces a metric to rank the attractiveness of FCS candidate locations. Results show that efficient SWTs in urban areas can justify their investments in the long-term, reduce overall system losses, and support FCS loads.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Marco Casini, Antonio Vicino, Giovanni Gino Zanvettor
Summary: This paper addresses the problem of minimizing the daily peak power of a charging station in parking lots equipped with charging stations for plug-in electric vehicles. Two algorithms are proposed to handle uncertainties, and numerical simulations are provided to demonstrate the effectiveness and feasibility of the techniques.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Marcin Jacek Klos, Grzegorz Sierpinski
Summary: The development of urban logistics is influenced by changes in people's shopping habits, such as the increasing popularity of online shopping. This has led to a higher demand for parcel delivery services, resulting in an increase in the number of couriers. To achieve sustainability, there is a need to replace conventional combustion engine fleets with greener alternatives like electric vehicles. However, there are challenges such as limited vehicle range, high costs, and the location of charging stations. This article focuses on strategies for siting charging stations for parcel delivery service providers and highlights the limitations and challenges they face.
Article
Energy & Fuels
Hassan Obeid, Ayse Tugba Ozturk, Wente Zeng, Scott J. Moura
Summary: This paper introduces a framework for optimizing the pricing policy of electric vehicle charging by learning and shaping human behavior. The effectiveness of the framework is demonstrated through behavioral experiments and simulations.
Article
Computer Science, Artificial Intelligence
Sven Schoenberg, Falko Dressler
Summary: Electric vehicles are gaining popularity worldwide due to increasing battery capacities and fast-charging infrastructure. However, queues at charging stations may result in long waiting times, emphasizing the importance of efficient route planning.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2023)
Article
Thermodynamics
Jean-Michel Clairand, Mario Gonzalez-Rodriguez, Rajesh Kumar, Shashank Vyas, Guillermo Escriva-Escriva
Summary: This study proposes an optimal siting and sizing approach for an electric taxi charging station, considering transportation and power system needs, with particular attention to taxi drivers' requirements. Network modeling and sensitivity analysis are used to explore interest points and uncertainties in traffic flow in Quito, the capital of Ecuador.
Article
Energy & Fuels
Jonathan Fagerstrom, Lisa Kvalbein, Janis Danebergs, Tine Uberg Noerland, Mari Ogaard, Kari Aamodt Espegren
Summary: This study aims to investigate the impact of co-localization of battery electric vehicles (BEV) and hydrogen fuel cell electric vehicles (FCEV) stations on cost efficiency, as well as the optimal sizing of photovoltaic (PV) production and battery storage. The results show that co-localization leads to marginal cost-efficiency improvement and better utilization of locally produced renewable power.
Article
Engineering, Manufacturing
Jiayi Joey Yu, Christopher S. Tang, Musen Kingsley Li, Zuo-Jun Max Shen
Summary: The study on the coordination of electric vehicle (EV) charging station construction yielded three major results: governments and automakers should build extra EV charging stations when construction costs are independent; when construction costs are dependent, governments should delegate construction to automakers by offering subsidies; providing purchase subsidies is more cost-effective for consumers.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Energy & Fuels
Islam Safak Bayram, Michael Devetsikiotis, Raka Jovanovic
Summary: This study aims to devise a closed-form expression for the plug-in electric vehicle charging station capacity problem and explores planning methods for two types of commercial charging stations. Through mathematical modeling and discrete-event simulations, it is found that optimal capacity planning can significantly reduce waiting times and queue lengths.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
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)