Article
Thermodynamics
Hany M. Hasanien, Ibrahim Alsaleh, Marcos Tostado-Veliz, Abdullah Alassaf, Ayoob Alateeq, Francisco Jurado
Summary: This article focuses on obtaining a precise model of the lithium-ion battery (LiB), which is important for simulation analyses and dynamics in various applications. The proposed gazelle optimization algorithm (GOA) is utilized to minimize the fitness function and improve the accuracy of the battery model. The effectiveness of the approach is validated through comparisons with practical results and other algorithms-based models.
Article
Energy & Fuels
Mohsen Nodehi, Ali Zafari, Mehdi Radmehr
Summary: This paper proposes an optimal management system for microgrids, including distributed generations and electric vehicles, to reduce operational costs and environmental emissions. Simulation results show that the proposed system can effectively reduce generation costs and emissions.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Remi Lauvergne, Yannick Perez, Mathilde Francon, Alberto Tejeda De La Cruz
Summary: This paper describes a methodology to study the technical and economic impacts of mass EV charging on power systems. The results show that smart charging can significantly reduce operational electricity system costs and carbon emissions. The study also compares different smart charging modes and identifies the parameters with the largest impact on EV flexibility.
Article
Green & Sustainable Science & Technology
Felipe Gonzalez Venegas, Marc Petit, Yannick Perez
Summary: This study examined the challenges and opportunities of integrating EVs into distribution grids, highlighting key technical and economic issues while addressing the impact of the lack of regulatory frameworks on flexibility value assessment.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang, Frank Eliassen, Kai Strunz
Summary: This article proposes a computational architecture combining energy trading and demand responses based on cloud computing for managing virtual power plants (VPPs) in smart grids. EVs can be charged rapidly by purchasing energy in the cloud, while users with storage devices can sell surplus energy to the market. By modeling the interactions between EV owners and VPPs as a non-cooperative game, a Nash equilibrium is sought to maximize revenue and minimize charging costs.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Review
Energy & Fuels
Virginia Casella, Daniel Fernandez Valderrama, Giulio Ferro, Riccardo Minciardi, Massimo Paolucci, Luca Parodi, Michela Robba
Summary: This paper presents a survey on the use of optimization models in integrating electric vehicles and charging stations in the energy system. It focuses on both planning problems and operational management problems, as well as decision problems that couple transportation and electrical networks. The paper also discusses the integration and use of EVs in recent regulation frameworks.
Article
Engineering, Electrical & Electronic
Milan Straka, Lubos Buzna, Nazir Refa, Santiago Mazuelas
Summary: Climate change drives the search for decarbonisation opportunities, such as supplying electric vehicles with renewable energy. Intelligent charging driven by predictions of charging behavior is necessary due to the stochastic nature of charging demand and renewable generation. This study examines the role of asymmetric prediction losses and proposes a method to quantify the consequences of these losses on the performance of smart charging schemes.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Information Science & Library Science
Doyoung Eom, Heejin Lee, Dong-hyu Kim
Summary: This paper explores standards battles between different committees or SDOs in market-based standardization, introducing a new type referred to as 'committee standards battles'. It finds that failure to achieve compatibility between standards from different committees can result in communication interference, while social incompatibilities between actors from different industries and alliances with vested interests complicate the battling scene.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Review
Chemistry, Physical
Moin Ahmed, Yun Zheng, Anna Amine, Hamed Fathiannasab, Zhongwei Chen
Summary: The sales of electric vehicles have been increasing steadily, mainly due to improvements in cost and performance, increased options available to consumers, and growing environmental awareness. However, challenges such as limited driving range, long charging times, and insufficient infrastructure still hinder the rapid and widespread adoption of EVs.
Article
Engineering, Electrical & Electronic
Ali Maroufi, Mohammadamin Mobtahej, Mazaher Karimi, Aliasghar Baziar
Summary: The paper proposes a novel energy management scheme based on a heuristic searching operation for reducing energy consumption and determining feasible operation states in smart homes. A grey wolf optimization method is used to solve the objective constraint issue over a longer simulation period. The suggested model shows good performance in reducing energy costs and managing energy.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Engineering, Electrical & Electronic
Abdullah Ali M. Alghamdi, Dilan Jayaweera
Summary: In this paper, a two-stage EV coordination framework is proposed to enhance the resilience of modern power distribution networks (MPDNs). The first stage focuses on proactive EV prepositioning to improve the MPDN survivability, while the second stage involves advanced spatial-temporal EV dispatching to maximize the EV availability for discharge and enhance the MPDN recovery.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Energy & Fuels
Seppo Borenius, Petri Tuomainen, Jyri Tompuri, Jesse Mansikkamaki, Matti Lehtonen, Heikki Hammainen, Raimo Kantola
Summary: The electricity sector in Finland plays a crucial role in meeting climate targets by promoting electrification in various industries. This study focuses on the evolution of electric vehicle fleets in Finland until 2040 and analyzes the potential impacts on distribution grids. The results show that depending on the scenarios, electric vehicles will have significant effects on energy demand and power requirements, highlighting the importance of considering these factors in future investment planning.
Article
Engineering, Electrical & Electronic
Maria Enrica Zamponi, Enrico Barbierato
Summary: The definition and nature of the pillars of smart cities are still debated in scientific literature. This paper highlights the role of information and energy as crucial pillars, particularly emphasizing the importance of artificial intelligence algorithms in analyzing and supporting decision-making processes.
Article
Chemistry, Multidisciplinary
Ali Selim, Mamdouh Abdel-Akher, Salah Kamel, Francisco Jurado, Sulaiman A. Almohaimeed
Summary: The paper proposes a real-time model for electric vehicles controlled load charging. The study utilizes queuing analysis based on nonhomogeneous arrival rate and a statistical survey to establish the demand model for EVs. By incorporating user preferences, the proposed DSM effectively manages EV charging, avoiding excessive charging levels and optimizing the use of renewable energy sources.
APPLIED SCIENCES-BASEL
(2021)
Review
Energy & Fuels
Vidya Krishnan Mololoth, Saguna Saguna, Christer ahlund
Summary: Developments such as increasing electrical energy demand, growth of renewable energy sources, cyber-physical security threats, increased penetration of electric vehicles (EVs), and unpredictable behavior of prosumers and EV users pose challenges to the electric power system. To address these challenges, a decentralized system using blockchain technology and machine learning techniques is required for secure communication, distributed energy management, and decentralized energy trading. Blockchain enables secure distributed trust platforms, agile energy exchange, and flexibility services between customers, while machine learning enables intelligent smart grid operations using prediction models and big data analysis.