Article
Construction & Building Technology
Yanchong Zheng, Ziyun Shao, Linni Jian
Summary: The user-oriented V2G scheme with multiple operation modes is proposed to increase EVs' participation in coordinated charging, which varies depending on individual users' preferences and charging urgency.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Green & Sustainable Science & Technology
Hang Yu, Songyan Niu, Yitong Shang, Ziyun Shao, Youwei Jia, Linni Jian
Summary: This paper discusses the challenges and solutions for integrating electric vehicles with distribution grids and V2G operation, evaluates the performance of different architectures in terms of charging demand compatibility, power quality, V2G availability, etc., and provides recommendations for optimal architecture selection.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Multidisciplinary
Francesca Marasciuolo, Maria Dicorato, Gioacchino Tricarico, Pasquale Montegiglio, Giuseppe Forte, Michele Trovato
Summary: This study focuses on analyzing the day-ahead performance of a DC microgrid based on different optimization algorithms, considering technical and economic targets. Statistical analysis of electric vehicle usage based on historical data is conducted to generate scenarios for investigation. The performance is compared using technical and economic indicators.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
M. A. Hannan, M. S. Q. Mollik, Ali Al-Shetwi, S. A. Rahman, M. Mansor, R. A. Begum, K. M. Muttaqi, Z. Y. Dong
Summary: This paper discusses the opportunities, challenges, and technologies of EVs in a V2G connecting system, and comprehensively reviews the V2G topologies, operations, and control systems.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Ona Egbue, Charles Uko, Ali Aldubaisi, Enrico Santi
Summary: This paper proposes a unit commitment model for a vehicle-to-grid (V2G) system, investigating the application of plug-in electric vehicles (PEVs) in a smart power grid. The results show that optimizing the scheduling of PEVs can reduce generation cost and have an impact on load balancing.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Heejune Cha, Myeongseok Chae, Muhammad Ahsan Zamee, Dongjun Won
Summary: Recently, there has been a rise in electric vehicle (EV) adoption and a shift to EVs by several motor companies. However, most studies on EV charging scheduling overlook the integration of transportation and distribution systems. This study develops an integrated power-transportation system and operating algorithms to analyze the impact of EVs on distribution systems. It also proposes an optimal EV driving model with routine and long-distance driving patterns, implemented using a Markov chain model and reinforcement learning. Additionally, the study demonstrates the effectiveness of EV aggregator structures in predicting local charging demands and real-time charge control.
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
Thermodynamics
Xiang Lei, Hang Yu, Ziyun Shao, Linni Jian
Summary: This paper proposes a novel management scheme, namely, the distribution system operator (DSO), to play a key role in China's electricity markets. The paper discusses the maximal marginal revenue for DSO in uncertain electricity markets with vehicle-to-grid operation incorporated. It builds a stochastic optimization model considering the spatiotemporal uncertainties and proposes an optimal bidding and coordinating strategy to maximize the DSO's marginal revenue.
Article
Energy & Fuels
Mostafa M. Shibl, Loay S. Ismail, Ahmed M. Massoud
Summary: EVs are gaining popularity worldwide as part of efforts to reduce the effects of climate change. Increasing numbers of users are purchasing EVs due to governmental incentives, charging technology advancements, and lower maintenance costs. However, the increased electrical loads on the distribution grid from EV charging can have negative impacts. This paper presents a deep RL-based EV charging management solution that considers different charging methods and aims to protect the distribution grid while satisfying user requirements.
Article
Energy & Fuels
Ijaz Ahmed, Muhammad Adnan, Mansoor Ali, Georges Kaddoum
Summary: This paper proposes a control method for electric vehicle chargers based on a super-twisting sliding mode controller, which can efficiently monitor the power flow and mitigate the chattering effect in power converters.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Construction & Building Technology
A. Thangaraj, S. Arockia Edwin Xavier, R. Pandian
Summary: The interdependencies between electric power systems and transportation systems are becoming tighter as the market share of electric vehicles increases. This study proposes a hybrid technique called ATLA-WSA to connect electric vehicles with distributed generation. The technique aims to reduce peak power shaving, voltage control, and spinning reserve. The results show that the proposed system has an operating cost of $481.23 and a profit of $112.45.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Energy & Fuels
Jan Figgener, Benedikt Tepe, Fabian Ruecker, Ilka Schoeneberger, Christopher Hecht, Andreas Jossen, Dirk Uwe Sauer
Summary: In recent years, the spot and ancillary service markets have become important sources of revenue for stationary battery storage systems. This paper develops a simulation model using data from commercial EVs to calculate the available power of an EV pool. The analysis shows that shorter service periods can increase the pool's available power, and commercial fleets offer reliable power during idle times. The analysis of the German FCR market demonstrates potential revenues for EVs in the range of 450 euro/a to 750 euro/a.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
R. A. Fernandez
Summary: This study examines the impact of electric vehicle charging on the electrical grid and proposes potential solutions. In the era of future electrified mobility, the power supply will face significant challenges.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Mohd Syahmi Hashim, Jia Ying Yong, Vigna K. Ramachandaramurthy, Kang Miao Tan, Muhamad Mansor, Mohd Tariq
Summary: This study presents a new method to minimize grid load variance by optimizing the scheduling of electric vehicles to the power grid, which can operate in three different modes to enhance power system reliability.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Multidisciplinary
Utsav Sharma, Bhim Singh
Summary: This article investigates the application of neural network-assisted deadbeat predictive current control in onboard charger for an e-rickshaw. By introducing a multistep charging scheme, the electricity consumption efficiency of the charger is improved under wide load conditions. The article presents the topology of the grid-connected charger and the working principles of its two stages.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Thermodynamics
Fernando Banez-Chicharro, Luis Olmos, Andres Ramos, Jesus M. Latorre
Article
Engineering, Electrical & Electronic
Seyedmahdi Izadkhast, Pablo Garcia-Gonzalez, Pablo Frias, Pavol Bauer
IEEE TRANSACTIONS ON POWER SYSTEMS
(2017)
Article
Engineering, Electrical & Electronic
Luis Gonzalez-Sotres, Pablo Frias, Carlos Mateo
IET COMMUNICATIONS
(2017)
Article
Engineering, Electrical & Electronic
Andrea Rodriguez-Calvo, Rafael Cossent, Pablo Frias
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2017)
Article
Energy & Fuels
Carlos Mateo, Pablo Frias, Rafael Cossent, Paolo Sonvilla, Bianca Barth
Article
Energy & Fuels
Michele Gaspari, Arturo Lorenzoni, Pablo Frias, Javier Reneses
Article
Energy & Fuels
Mercedes Valles, Antonio Bello, Javier Reneses, Pablo Frias
Article
Engineering, Electrical & Electronic
Carlos Mateo, Giuseppe Prettico, Tomas Gomez, Rafael Cossent, Flavia Gangale, Pablo Frias, Gianluca Fulli
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2018)
Review
Green & Sustainable Science & Technology
Andrea Rodriguez-Calvo, Rafael Cossent, Pablo Frias
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2018)
Article
Engineering, Electrical & Electronic
Antonio Malpica, Pablo Frias
IEEE TRANSACTIONS ON POWER SYSTEMS
(2019)
Article
Energy & Fuels
Carlos Mateo, Rafael Cossent, Tomas Gomez, Giuseppe Prettico, Pablo Frias, Gianluca Fulli, Alexis Meletiou, Fernando Postigo
Article
Thermodynamics
C. Mateo, P. Frias, K. Tapia-Ahumada
Article
Engineering, Electrical & Electronic
Miguel Martinez, Asier Moreno, Ignacio Angulo, Carlos Mateo, Antonio David Masegosa, Asier Perallos, Pablo Frias
Summary: This paper analyzes the impact of electric vehicles on the electrification of urban distribution fleets, and simulates the effects of different distribution models in large cities. It concludes that decentralized operation can avoid network reinforcement, achieve more significant emissions reduction, and reduce costs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Luis Gonzalez-Sotres, Pablo Frias, Carlos Mateo
ELECTRIC POWER SYSTEMS RESEARCH
(2017)
Article
Energy & Fuels
Fernando Banez-Chicharro, Luis Olmos, Andres Ramos, Jesus M. Latorre
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.