Article
Engineering, Electrical & Electronic
Ke Li, Chengcheng Shao, Zechun Hu, Mohammad Shahidehpour
Summary: This paper proposes a method for coordinated planning of PDN-TN, which determines the optimal deployment of new roads, placement of EVCSs, and expansion of PDNs. The method considers drivers' behaviors, traffic flow assignment, and rationality of users. Numerical studies validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Energy & Fuels
Jean-Michel Clairand, Mario Gonzalez-Rodriguez, Irvin Cedeno, Guillermo Escriva-Escriva
Summary: Many governments are encouraging cleaner transportation, and the introduction of electric buses is seen as a way to mitigate the pollution caused by public transportation. However, there are technological challenges in terms of charging and scheduling for electric buses, which are different from internal combustion ones.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Engineering, Manufacturing
Marianne Guillet, Maximilian Schiffer
Summary: Range and charge anxiety are significant barriers to the wider adoption of electric vehicles (EVs). A solution to this problem is to quickly and reliably locate suitable charging stations, which can alleviate drivers' anxieties and promote EV uptake. Existing commercial services for finding charging stations struggle with data inaccuracy due to conventional vehicles blocking access. Recent studies have explored stochastic search methods to account for availability uncertainty and minimize drivers' detour to available stations. However, both practical and theoretical approaches have not considered driver coordination through centralized data sharing. This research focuses on coordinated stochastic search algorithms to reduce visit conflicts and enhance the drivers' charging experience.
PRODUCTION AND OPERATIONS MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Linfeng Liu, Houqian Zhang, Jiagao Wu
Summary: In this paper, the strategies of selecting the local-optimal SEVs for IEVs and rescheduling their travel routes are investigated, and a distributed Reciprocal Charging Mechanism (RCM) is proposed. Both mechanism analysis and simulation results demonstrate the performance superiority of RCM. Specifically, with the proposed reciprocal charging mechanism, IEVs can be charged by SEVs in a charging-station-absent zone, and the electric energy consumption can be approximatively minimized.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
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
Automation & Control Systems
Nishant Kumar, Sanjib Kumar Panda
Summary: The use of electric vessels and shore-to-ship power supply based charging stations, also known as cold ironing (CI) infrastructure, is a growing trend to avoid air and noise pollution on seaports. However, these charging stations create a serious harmonic issue on the input side. This article proposes a novel power quality improved cold ironing (PQICI) system to overcome this issue.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Energy & Fuels
Mohammad Shafiei, Ali Ghasemi-Marzbali
Summary: This paper discusses the design and development of fast charging stations, along with the challenges and future directions of electric vehicle charging.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Zhonghao Zhao, Min Xu, Carman K. M. Lee
Summary: This paper presents an optimization model for charging station capacity planning to maximize fuzzy quality of service (FQoS) in the context of electric vehicles. The model considers queuing behavior, blocking reliability, and multiple charging options based on battery technical specifications. By accounting for uncertainty in EV arrival and service time, the proposed model offers decision-makers and operators a more robust plan for capacity planning of charging stations to provide better service for customers with different charging options.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Energy & Fuels
Mohd Rizwan Khalid, M. S. Jamil Asghar, Mohammad Saad Alam, Salman Hameed, Irfan A. Khan
Summary: This paper validates an off-board electric vehicle charging station that meets the IEEE 519-2014 power quality standard, with experimental results showing high efficiency and the effectiveness of multi-phase transformer technology in reducing harmonic distortion and improving power factor.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Environmental Studies
Tai-Yu Ma, Simin Xie
Summary: A new online vehicle-charging assignment model is proposed to reduce charging delays in electrified shared mobility services, showing promising results in minimizing charging operation time with an efficiency optimization approach.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Engineering, Multidisciplinary
Long YiLin, Li Yong, Wang YaHui, Cao YiJia, Jiang Lin, Zhou YiCheng, Deng YouYue, Yosuke Nakanishi
Summary: This paper studies the optimal planning for grid-connected EVCS with RES, considering the uncertainty of EV load. The results show that applying RES can bring economic benefits, and different characteristics of EV load will influence the capacity of each device (PV, battery, converter) in the optimal planning of EVCS.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2021)
Article
Thermodynamics
Ziyue Jiang, Jingzuo Han, Yetong Li, Xinyu Chen, Tianduo Peng, Jianliang Xiong, Zhan Shu
Summary: This study proposes an optimization methodology for EV charging station layout that considers EV charging behavior, sequential charging demand, and its impact on the power system. Applying this methodology to Jiangxi, the recommended charging station capacities in workplaces, residences, and shopping centers achieve increased renewable energy integration and reduced carbon emissions.
Article
Environmental Studies
Haiming Cai, Fan Wu, Zhanhong Cheng, Binliang Li, Jian Wang
Summary: Charging station planning is critical for public transport electrification. However, there is insufficient experience and knowledge regarding the factors that influence charging station utilization, especially for electric taxis. This paper uses data from Shenzhen to analyze the relationship between charging station utilization and urban form and demand for taxi services. The findings suggest that demand for taxi services has a non-linear relationship with utilization, and metro station density positively correlates with utilization.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Weicheng Liu, Xujiang Shi, Jianfeng Zhao, Xiao-Ping Zhang, Ying Xue
Summary: A novel integrated simulation framework considering the impacts of traffic and user behaviors on electric vehicle charging load is proposed. The framework accurately simulates the interactions among traffic situation, user behavior, and total supply capability, which are lacking in existing research. The framework is scalable in considering additional interrelated elements.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Energy & Fuels
Hyeon Woo, Yongju Son, Jintae Cho, Sung-Yul Kim, Sungyun Choi
Summary: With the exponential increase in the penetration rate of EVs, the charging load is causing new issues in the power system such as voltage drop. Improperly located EVCSs exacerbate these issues, leading to concentrated charging demand. This paper proposes a method for optimal EVCS placement considering installation cost, drivers' preferences, and existing charging stations. By estimating charging demands using kernel density estimation and modeling driver preferences, an integer nonlinear programming problem is formulated and solved using a minimax genetic algorithm. Simulations based on real data demonstrate the effectiveness of the proposed method in achieving dispersed charging demand.
Article
Engineering, Electrical & Electronic
Runfeng Zhang, Wei Yao, Zhongtuo Shi, Xiaomeng Ai, Yong Tang, Jinyu Wen
Summary: This paper proposes a robust and transferable framework for dominant instability mode (DIM) identification in power systems using deep learning. By encoding time series as images and combining curve filtering rules and a dual-channel VGGNet network, accurate identification of DIMs is achieved.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Ying Huang, Xiaomeng Ai, Jiakun Fang, Shichang Cui, Runfeng Zhong, Wei Yao, Jinyu Wen
Summary: This paper proposes a generalized power flow model based on holomorphic embedding, which converts the nonlinear power flow problem into an embedded system. The model comprehensively considers the characteristics of islanded hybrid microgrids and has advantages of efficient solving, wide applicability, and convenient operation.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Bo Zhou, Jiakun Fang, Xiaomeng Ai, Shichang Cui, Wei Yao, Zhe Chen, Jinyu Wen
Summary: This paper proposes a novel storage right-based hybrid discrete-time and continuous-time (HT) flexibility trading between energy storage station (ESS) and renewable power plants (RPP). The proposed method allows ESS to sell flexibility for profits and RPPs to buy flexibility to hedge power supply shortage risks. Case studies validate the effectiveness of the proposed method in achieving higher profits for ESS and lower power supply shortage risks for RPPs.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Automation & Control Systems
Li Jin, Yong He, Chuan-Ke Zhang, Lin Jiang, Wei Yao, Min Wu
Summary: This paper investigates the demand-oriented stability of delayed CPPS and proposes novel regulation schemes using variable Lyapunov-Krasovskii functionals and compatible integral inequalities. An algorithm is designed to calculate accurate delay margins or achieve high computation efficiency flexibly. Case studies on load frequency control systems and IEEE 39-bus system demonstrate the effectiveness of the proposed method.
CONTROL ENGINEERING PRACTICE
(2023)
Editorial Material
Energy & Fuels
Bo Yang, Yulin Li, Wei Yao, Lin Jiang, Chuanke Zhang, Chao Duan, Yaxing Ren
Article
Energy & Fuels
Dahu Li, Hongyu Zhou, Yuan Chen, Yue Zhou, Yuze Rao, Wei Yao
Summary: In hybrid energy systems, energy storage devices have gained attention for their ability to mitigate challenges posed by the intermittent and fluctuating nature of new energy sources. Collaborating with wind power, energy storage can participate in the frequency control of power grids. This paper proposes a two-region load frequency control model that employs the dingo optimization algorithm to obtain optimal power dispatching commands.
Article
Engineering, Electrical & Electronic
Siqi Lin, Wei Yao, Yongxin Xiong, Yifan Zhao, Zhongtuo Shi, Xiaomeng Ai, Jinyu Wen
Summary: This paper introduces an open-access Matlab/Simulink-based power system simulation toolbox (MatPSST) for research and education. MatPSST utilizes Simulink for dynamic modeling and Matlab for the initialization process, enabling users to fully utilize the rich solvers and built-in toolboxes without additional programming. It also facilitates the interaction with real-time platforms and provides a flexible framework for user-defined functions.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Engineering, Electrical & Electronic
Ze Hu, Zhongtuo Shi, Lingkang Zeng, Wei Yao, Yong Tang, Jinyu Wen
Summary: This paper proposes a knowledge-enhanced deep reinforcement learning method for intelligent event-based load shedding. By establishing a Markov decision process model and fusing knowledge of removing repeated and negative actions, this method can accurately give effective load shedding measures.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Hongyu Zhou, Wei Yao, Kangyi Sun, Yifan Zhao, Xiaomeng Ai, Jinyu Wen
Summary: This paper proposes a multi-level coordinated control scheme for symmetrical bipolar modular multilevel converter based high voltage direct current (MMC-HVDC) integrated offshore wind farms. The scheme effectively suppresses DC overcurrent triggered by submarine cable breakage by making full use of the energy control capability of MMCs. It consists of four control levels for different components of the system and has been verified using PSCAD/EMTDC in different scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yifan Zhao, Wei Yao, Chuan-Ke Zhang, Xiaomeng Ai, Jinyu Wen
Summary: This paper proposes a multiple-controller switching approach based resilient wide-area damping controller (MCS-RWADC) to address the issue of attack strength in cyber attacks targeting wide-area damping control. It includes multiple secure networked prediction control based modules (SNPMs) to detect and compensate for weak attacks, and a switch-monitor module (MSM) to monitor and direct the switching among SNPMs. Case studies verify the effectiveness of MCS-RWADC in suppressing inter-area oscillation and handling strong attacks.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Editorial Material
Engineering, Industrial
Wang Xiang, Peiyu Meng, Jinyu Wen
FRONTIERS OF ENGINEERING MANAGEMENT
(2023)
Article
Energy & Fuels
Ze Hu, Wei Yao, Zhongtuo Shi, Hang Shuai, Wei Gan, Jinyu Wen
Summary: With the increasing penetration of renewable energy, power system instability factors are rising. Transient voltage instability is a common power system problem that can cause blackouts and severe economic losses. Event-based load shedding (ELS) is proposed as an intelligent and rapid approach to ensure transient voltage stability. The study introduces a knowledge-enhanced parallel branching dueling Q-network (BDQ) framework for ELS, incorporating domain proprietary knowledge to significantly enhance training effectiveness and decision capability. The proposed approach demonstrates its advantages in real power systems.
Article
Engineering, Electrical & Electronic
Wenqu Li, Zhi-Wei Liu, Wei Yao, Yaowen Yu
Summary: Line outage detection is crucial for preventing and recovering from power system black-outs. In this study, compressive sensing theory is applied to address the issue of detecting multiple line outages in power systems, given the sparsity of such outages in the early stages. A binary matching pursuit algorithm is proposed to solve the problem, and a dice coefficient and an atom exclusion strategy are introduced to enhance detection accuracy. The complexity of the algorithm is also analyzed. Simulation results demonstrate that the proposed algorithm is more resilient to noise, less sensitive to data sampling size, and has lower computational burden with higher detection efficiency.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Engineering, Electrical & Electronic
Wei Yao, Lingrao Wang, Hongyu Zhou, Yongxin Xiong, Jinyu Wen
Summary: This paper investigates the mechanism and quantitative calculation of harmonic interaction, an important factor in causing concurrent commutation failures (CCF) of multiple converter stations in multi-infeed HVDC (MI-HVDC) systems. The generation and interaction process of harmonic during AC fault events in different types of MI-HVDC systems are illustrated, and the common characteristics of harmonic interaction in generalized MI-HVDC systems are summarized. Furthermore, an equivalent circuit model is established to evaluate the impact of harmonic interaction on the commutation process quantitatively.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
