Article
Thermodynamics
WanJun Yin, Xuan Qin
Summary: This paper proposes a method to solve the optimal scheduling problem of large-scale electric vehicles connected to the grid. By considering multiple factors and using a high-confidence wind power scenario, the collaborative optimization of coal-fired power generation, wind power generation, and electric vehicles is achieved.
Article
Energy & Fuels
Shaohua Yu, Zhaobin Du, Lidan Chen
Summary: This study proposes an optimal EV charging and discharging regulation strategy based on dynamic regional dispatching price, which can effectively solve the problems caused by the charging loads of electric vehicles on the regional grid and improve the safety and economy of the power system through the construction of an EV travel chain model, dynamic update of dispatching price strategy, and establishment of an EV V2G optimal regulation model.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Rajanand Patnaik Narasipuram, Subbarao Mopidevi
Summary: In recent years, there has been a significant expansion in the electric vehicles market to reduce the impact of greenhouse gases, necessitating the deployment of cost-effective charging stations. This review paper provides an overview of the design aspects of charging stations, categorizing them based on the power utilized and presenting future directions.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Multidisciplinary
Hojun Jin, Sangkeum Lee, Sarvar Hussain Nengroo, Dongsoo Har
Summary: This study proposes a power management scheme for interdependent microgrid and electric vehicle fleets, assisted by a novel charging/discharging scheduling algorithm. The scheme maximizes the utilization of electric vehicle charging/discharging while minimizing operating costs through multi-objective optimization. It also establishes a more economical and energy-efficient PV-based charging station.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Srihari Nayak, Sanjeeb Mohanty
Summary: An adaptable infrastructure for dynamic power control of battery chargers for electric vehicles is proposed in this work. The battery power is adjusted dynamically using flexible active load management when the vehicle is plugged in. Two charging strategies, constant current (CC) charging and dynamic constant current (DCC) charging, are developed and explained. Simulation and experimental results show that the load profile of the electrical system responds rapidly to the CC charging method and the vehicle scheduling algorithm successfully reduces power draw from the grid when using the DCC charging method.
ELECTRICAL ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Vaibhav Shah, Saifullah Payami
Summary: This article proposes an integrated converter for electric vehicles (EVs) with various charging capabilities and the use of a switched reluctance motor (SRM). The converter can provide driving power during EV operation and charge the battery when the vehicle is idle. It includes power factor correction (PFC) charging for AC charging, bidirectional switches for both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) charging, and a four-quadrant DC-DC converter (FQDDC) for fast charging via a DC source. The proposed converter eliminates the need for additional non-integrated circuits, reducing the total number of switches and achieving a standstill rotor at appropriate positions.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Energy & Fuels
Bijan Bibak, Lihui Bai
Summary: Recently, the migration from internal combustion cars to electric vehicles (EVs) has gained attention as a viable solution for energy sustainability. However, the short lifespan of EV batteries poses a challenge. This paper proposes an optimal model for a commercial and industrial electric fleet system to reduce total electricity costs by coordinating various energy sources and usage.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Automation & Control Systems
Aakash Kumar Seth, Mukhtiar Singh
Summary: This paper presents the design and implementation of a bidirectional off-board plug-in Electric Vehicle (PEV) charger controller with effective harmonic compensation and computational efficiency. The use of a repetitive controller for inner current regulation, with sensitivity modification, improves the performance of the controller.
Article
Engineering, Electrical & Electronic
Jaydeep Saha, Nishant Kumar, Sanjib Kumar Panda
Summary: This article proposes a medium-voltage (MV) grid-connected solid-state transformer (SST)-based fast-charging (FC) station, which offers improved efficiency, power density, and current limiting capability. The architecture functions as a refueling station by simultaneously interfacing all three plug-in electric vehicle (PEV) categories and enables bidirectional power flow for vehicle-to-grid (V2G) applications. The modulation, operational, and control schemes of the proposed architecture are explained, and hardware-in-loop (HIL) tests verify its operation and control. The architecture allows for simultaneous FC/DC for different types of PEVs within specified time durations. A scaled-down experimental verification demonstrates the architecture's performance under drastic net power flow change conditions and provides a comprehensive benchmark comparison with commercially available FC products.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Aakash Kumar Seth, Mukhtiar Singh
Summary: This paper presents the control algorithm design for a two stage off board bidirectional smart electric vehicle charger architecture, utilizing an adaptive neuro-fuzzy inference system to estimate various parameters for effective charger control.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Xi Chen, Haihui Wang, Fan Wu, Yujie Wu, Marta C. Gonzalez, Junshan Zhang
Summary: This article presents a model of the electric vehicle (EV) charging network as a cyber-physical system that is coupled with transportation networks and smart grids. An EV charging station recommendation algorithm is proposed to create synergy between transportation networks and smart grids and utilize EV charging activities as a load-balancing tool to transfer energy between unbalanced distribution grids.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Jiayan Liu, Gang Lin, Christian Rehtanz, Sunhua Huang, Yang Zhou, Yong Li
Summary: A data-driven intelligent EV charging scheduling algorithm is proposed in this paper, which considers the charging costs, battery degradation, and users' dissatisfaction comprehensively. By forecasting the charging demand and establishing an optimization model based on time-of-use electricity price and charging facility limitation, the proposed algorithm achieves better effectiveness and performance compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Bijan Bibak, Hatice Tekiner-Mogulkoc
Summary: The implementation of vehicle to grid (V2G) technology can decrease power issues and improve network efficiency by utilizing the unused power in electric vehicle (EV) batteries. This paper proposes a novel methodology to comprehensively evaluate the impact of EVs and V2G on shaving the peak demand and filling the valley demand. The simulation results indicate that off-peak charging mode has better consequences in leveling the load curve.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Wan-Jun Yin, Zheng-Feng Ming
Summary: This paper proposes a particle swarm optimization algorithm based on competitive learning and reverse learning to minimize the adverse effects of disordered EV charging on the distribution grid, showing outstanding performance in experiments.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Srinivas Singirikonda, Yeddula Pedda Obulesu, Ramani Kannan, K. Jyotheeswara Reddy, G. Kiran Kumar, Wajdi Alhakami, Abdullah Baz, Hosam Alhakami
Summary: This research paper introduces an adaptive control-based isolated bi-directional converter for the modernized electric vehicle system, which controls the charging and discharging of the electric vehicle (EV) battery according to the reference value. The paper presents control methods for charging and discharging modes, incorporating ANFIS for improved battery performance. It also discusses the charging and power supply using the AC grid and renewable energy sources, as well as the control of the photovoltaic array using the incremental conductance MPPT algorithm. The proposed work is implemented and tested using MATLAB/Simulink and a real-time simulator environment.
Article
Energy & Fuels
Hong-Tzer Yang, Jian-Tang Liao
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2016)
Article
Engineering, Electrical & Electronic
Jun-Hua Chiang, Bin-Da Liu, Shih-Ming Chen, Hong-Tzer Yang
IEICE TRANSACTIONS ON ELECTRONICS
(2016)
Article
Energy & Fuels
Wen-Jun Tang, Hong-Tzer Yang
Article
Engineering, Electrical & Electronic
Happy Aprillia, Hong-Tzer Yang, Chao-Ming Huang
Summary: A novel statistical load forecasting method is proposed in this article, using quantile regression random forest, probability map, and risk assessment index to obtain the actual risk information of load demand profile. The proposed method can model a more precise load prediction interval along with risk evaluation compared to existing benchmark models.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Andi A. H. Lateko, Hong-Tzer Yang, Chao-Ming Huang, Happy Aprillia, Che-Yuan Hsu, Jie-Lun Zhong, Nguyen H. Phuong
Summary: The study introduces a PV power forecasting method based on a stacking ensemble model with recurrent neural network as a meta-learner, utilizing real and forecasted weather data for training and testing. By combining various statistical features and multiple neural network models for prediction, a more accurate forecasting result is achieved.
Article
Energy & Fuels
Andi A. H. Lateko, Hong-Tzer Yang, Chao-Ming Huang
Summary: This study proposes a regression-based ensemble method for day-ahead photovoltaic (PV) power forecasting, which combines multiple forecasting models to improve accuracy. The method consists of three steps: model training, creating optimal weights, and testing. The results show that the proposed method outperforms other methods in terms of mean relative error (MRE), mean absolute error (MAE), and coefficient of determination (R-2).
Article
Computer Science, Information Systems
Yu-Jin Lin, Yu-Cheng Chen, Jun-Yi Zheng, Dan-Wei Shao, Dan Chu, Hong-Tzer Yang
Summary: This study proposes a smart electric vehicle charging station energy management system based on blockchain technology, aiming to protect user privacy, ensure fair power transactions, and meet the charging demands of a large number of EVs. The system integrates energy management through smart contracts, allowing for real-time power transactions and optimal charging and discharging control.
Article
Computer Science, Information Systems
Yu-Jin Lin, Yu-Cheng Chen, Jun-Yi Zheng, Dan Chu, Dan-Wei Shao, Hong-Tzer Yang
Summary: This study developed a vehicle-to-everything blockchain power trading and energy management platform that combines artificial intelligence, the Internet of things, and blockchain technology. The platform enables multi-level power transactions for electric vehicle charging stations in or between commercial buildings. It considers green power transactions, bidirectional power and green power charging and discharging transactions, demand response bidding, and vehicle-to-vehicle emergency rescue charging. The system ensures data security and fairness through smart contracts and distributed ledgers.
Article
Computer Science, Information Systems
Wenjun Tang, Hong-Tzer Yang
Proceedings Paper
Computer Science, Hardware & Architecture
Wen-Jun Tang, Sin-Yi Shih, Hong-Tzer Yang
2018 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE)
(2018)
Proceedings Paper
Automation & Control Systems
Jian-Tang Liao, Yung-Sheng Chuang, Hong-Tzer Yang, Men-Shen Tsai
Proceedings Paper
Energy & Fuels
Jian-Tang Liao, Shun-Hao Yeh, Hong-Tzer Yang
2018 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-NIIGATA 2018 -ECCE ASIA)
(2018)
Proceedings Paper
Computer Science, Hardware & Architecture
Jian-Tang Liao, Chien-Hsuan Liu, Hong-Tzer Yang
2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE)
(2017)
Proceedings Paper
Energy & Fuels
Wen-Jun Tang, Hong-Tzer Yang
2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
(2017)