Article
Engineering, Electrical & Electronic
Teng Long, Qing-Shan Jia, Gongming Wang, Yu Yang
Summary: This paper presents an efficient and scalable real-time scheduling method for handling the charging demands of plug-in electric vehicles (PEV), demonstrating through simulations that the proposed method provides high computation efficiency and scalability while reducing operating costs for charging stations. Compared to existing methods, it outperforms in terms of charging policy search capabilities and performance guarantee.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Automation & Control Systems
Beibei Li, Yuqing Guo, Qingyun Du, Ziqing Zhu, Xiaohui Li, Rongxing Lu
Summary: This article proposes a blockchain-based personalized federated deep learning scheme, P-3, for privacy-preserving energy demands prediction in EV charging networks. The proposed scheme demonstrates superior accuracy in predicting real-time energy demands compared to state-of-the-art schemes, while achieving reasonably low computational costs.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Kratika Yadav, Mukesh Singh
Summary: Dynamic pricing is crucial for strengthening the power grid due to the increased demand caused by widespread adoption of electric vehicles. Uncoordinated EV charging exacerbates the gap between supply and demand, necessitating the reinforcement of the electricity network. However, a net-metering policy based on time of usage pricing can help manage demand and incentivize EV owners and utility operators. This research discusses the economic analysis of different pricing structures and tests a proposed pricing scheme to optimize electricity consumption.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Y. L. Lou, C. X. Wu, Z. Z. Shi, R. Yang
Summary: This paper proposes a method for evaluating the maximum number of EVs that can be accommodated in the distribution system. The method includes establishing a charging model, determining the charging schedule, and calculating the maximum vehicle access capacity considering the temporal and spatial features of EV charging.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Dongxiang Yan, Yue Chen
Summary: This paper proposes a distributed online algorithm to address the supply-demand mismatch of electric vehicle charging stations caused by fluctuating renewable generation and unpredictable charging demands. The algorithm operates in a prediction-free manner and properly satisfies time-coupling constraints. It also provides a theoretical bound for the optimality gap between offline and online solutions. Additionally, an improved ADMM algorithm is proposed for distributed computation, ensuring privacy protection and online implementation. Case studies validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Civil
Qiulin Lin, Hanling Yi, Minghua Chen
Summary: This study focuses on an online algorithm for scheduling electric vehicle charging to minimize cost while considering user dissatisfaction, achieving optimal competitive ratio. Simulation results confirm the effectiveness of the algorithms and their notable performance gains in diverse settings.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Energy & Fuels
Zhikang Li, Chengbin Ma
Summary: This paper proposes a new temporal-spatial EV charging coordination scheme that considers the uncertainties in EV arrival time and total available charging power. Through the use of a generalized Nash equilibrium game and a distributed receding horizon optimization-based solution, the proposed method improves service quality of EV charging.
Article
Economics
Arthur J. Caplan
Summary: This paper explores the coopetitive relationship between a private firm and a utility in the EV charging-station market. The utility chooses to self-regulate in order to continue earning revenue from selling electricity to the firm's charging stations. The study also examines the conditions under which the utility does not decrease its mark-up rate in response to increased market demand for EV charging, as well as when a regulator may choose a lower mark-up rate than the utility.
ECONOMIC MODELLING
(2023)
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
Computer Science, Information Systems
Cihat Kececi, Muhammad Ismail, Erchin Serpedin
Summary: This study investigates the impact of customers providing false information on the efficiency of the charging coordination mechanism and finds that cheating behavior leads to a decrease in efficiency, with the degree of impact depending on the percentage of cheating customers and cheating duration compared to typical parking duration, and increasing with the number of deployed chargers.
Article
Construction & Building Technology
Shuohan Liu, Xu Xia, Yue Cao, Qiang Ni, Xu Zhang, Lexi Xu
Summary: Electric Vehicles (EVs) are more environmentally friendly than traditional internal combustion vehicles (ICVs), but they have longer charging times. This paper proposes an Urgency First Charging (UFC) scheduling policy based on charging urgency, which is shown through simulations to improve user experience and shorten overall EV trip durations.
SUSTAINABLE CITIES AND SOCIETY
(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
Engineering, Electrical & Electronic
Jiayan Liu, Gang Lin, Sunhua Huang, Yang Zhou, Yong Li, Christian Rehtanz
Summary: This article proposes an optimal charging scheduling method for electric vehicles in the context of limited charging facilities, aiming to reduce costs and meet the charging demands of each EV by responding to time-of-use electricity pricing. The method is formulated as a bilevel programming model and is shown to be effective in simulation results.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Electrical & Electronic
Weitong Chen, Feiyang Lin, Grant A. Covic
Summary: This article proposes a two-phase DDQ track topology to improve interoperability and reduce power transfer fluctuations in dynamic electric vehicle charging systems. It also presents a method to simplify the design process.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Thomas R. McKinney, Erica E. F. Ballantyne, David A. Stone
Summary: This paper highlights the lack of academic discourse surrounding the transition to EVs for rural areas and presents the modelling and results of several potential scenarios for rural EV charging habits. Using 7-day travel patterns for a small rural village in the UK, the paper investigates the energy requirements and potential recharging patterns when switching all vehicles to EVs. The results show that electricity tariffs and charging behaviors can greatly impact energy and power requirements, posing concerns for rural grid infrastructure and the overall EV transition across the UK.
Article
Economics
Marie-Louise Arlt, David Chassin, Claudio Rivetta, James Sweeney
Summary: This paper examines the impact of real-time pricing and load automation on residential distribution systems. The study finds that implementing real-time pricing can result in an aggregate welfare gain of 39 USD per customer and year. However, it also notes that RTP and load automation may significantly increase peak system load. Introducing a market-based demand management system can further enhance welfare gains and reduce grid investment.
Article
Economics
Javier Jorquera-Copier, Alvaro Lorca, Enzo Sauma, Stefan Lorenczik, Matias Negrete-Pincetic
Summary: As countries update their climate ambitions, low-carbon hydrogen production and use present opportunities for emissions reductions and economic development. A case study for Chile shows that integrating hydrogen and electricity networks can lower system costs and enhance renewable integration, but policy support is needed to address concerns related to water and land use.
Article
Economics
Dawit Guta, Hisham Zerriffi, Jill Baumgartner, Abhishek Jain, Sunil Mani, Darby Jack, Ellison Carter, Guofeng Shen, Jennifer Orgill-Meyer, Joshua Rosenthal, Katherine Dickinson, Rob Bailis, Yuta Masuda
Summary: Household solid fuel use is detrimental to health and the environment. The Indian government's PMUY subsidy has successfully promoted the adoption of LPG by millions of households. However, there is limited understanding of the decision-making process to reduce solid fuel use after transitioning to cleaner fuels. This study found that factors such as household wealth, social status, education level, and the prevalence of LPG use in the village are positively associated with LPG consumption and the discontinuation of solid fuel use. On the other hand, factors such as distance to LPG refill delivery, household size, and the PMUY subsidy are negatively associated with the share of LPG use.
Article
Economics
Nicolas Morell-Dameto, Jose Pablo Chaves-Avila, Tomas Gomez San Roman, Pablo Duenas-Martinez, Tim Schittekatte
Summary: This paper assesses the performance of differently implemented forward-looking network tariff designs and proposes an innovative coordination mechanism to increase predictability in a future with many flexible customers. The study reveals that if large shares of customers synchronize their responses to highly time-varying and locational-specific network charges, it can lead to unexpected reinforcements.
Article
Economics
Alexandra Gritz, Guntram Wolff
Summary: Russia's weaponization of gas supplies shook the energy security of Central and Eastern Europe in 2022. The region responded by increasing alternative energy supplies and developing new gas supply routes. Renewable energy, nuclear energy, and hydrogen play important roles in the long-term. Mitigating the impact of this shock requires the EU to prioritize the integrity of its energy market.
Article
Economics
Jaroslaw Kantorowicz, Marion Collewet, Matthew DiGiuseppe, Hendrik Vrijburg
Summary: Economic costs are a major political obstacle to investing in climate change mitigation and adaptation measures. The method of financing plays a crucial role in determining public opposition to government green investments, with debt financing being less opposed than broad-based taxes. This study suggests that credit market tools, such as green bonds and debt for climate swaps, can be politically efficient in increasing support for green financing. Carbon taxes and wealth taxes are found to be the most preferred options.
Article
Economics
Kun Guo, Liyuan Luan, Xiaoli Cai, Dayong Zhang, Qiang Ji
Summary: This paper investigates China's energy trade stability using a survival analysis approach. It finds that the energy trade linkages between China and 153 other countries are complex and unstable, with short periods of trade with many countries. Geopolitically risky regions, such as the Middle East and Africa, have the lowest trade stability. Climate risks have significant effects on energy trade stability. The paper proposes several policy options to improve energy trade stability in China, with special attention to increasing global climate risks.
Article
Economics
Simona Bigerna, Piyush Choudhary, Nikunj Kumar Jain, Silvia Micheli, Paolo Polinori
Summary: This study estimates the willingness to pay of Indian urban consumers for a continuous supply of electricity using contingent valuation method. The findings show that the amount consumers are willing to pay depends on the duration of power outages, with households preferring shorter outages. Income and environmental attitude also positively influence higher willingness to pay. These insights can inform policymakers in designing more reliable and customer-centric energy generation and distribution models.
Article
Economics
Temilade Sesan, Unico Uduka, Lucy Baker, Okechukwu Ugwu, Ewah Eleri, Subhes Bhattacharyya
Summary: This study examines the impact of the regulatory framework on rural electrification and universal energy access goals in Nigeria's mini-grid sector. The findings suggest that while the current framework has fostered sector growth, additional measures are necessary to ensure equitable distribution of access among rural populations.
Article
Economics
Rui Shan, Noah Kittner
Summary: Energy storage is a cornerstone in decarbonization planning as it reduces operational costs and greenhouse gas emissions, while enhancing resilience and renewables integration. However, storage developers in different regions have varying economic and environmental considerations, thereby requiring policy intervention to achieve long-term emission reductions.
Article
Economics
Tung Durmaz, Sevil Acar, Simay Kizilkaya
Summary: This study investigates the phenomenon of strategic capacity withholding in the Turkish electricity market and its relationship with the capacity remuneration mechanism. The empirical results provide strong evidence of strategic capacity withholding and show that the capacity mechanism contributes to the duration of failures. The study offers important insights for policymakers, including the implementation of a random verification mechanism and restructuring of the capacity mechanism in Turkey.
Article
Economics
Tii N. Nchofoung
Summary: The study finds that oil price shocks have a negative impact on Africa's energy transition, particularly in rural areas and net crude oil exporting countries. However, oil price shocks cannot explain the urban-rural differences in clean energy access. Therefore, increasing investment in clean energy and technologies in rural areas is necessary to enhance the resilience of the energy sector to oil price shocks.
Article
Economics
Najia Saqib, Muhammad Usman, Ilhan Ozturk, Arshian Sharif
Summary: This study examines the impact of environmental technologies, financial growth, and energy use on ecological footprint and green growth. Environmental innovation and renewable energy deployment contribute to green growth, while financial expansion and non-renewable energy use have negative effects on the environment. The study also identifies causal relationships between different factors.
Article
Economics
Yessica C. Y. Chung, Noxolo Kunene, Hung-Hao Chang
Summary: The Renewable Energy Certificate (REC) is considered an innovative technology for building a green society. This study investigates the impact of REC purchases on stock return and volume in Taiwan between 2017 and 2021. The findings suggest that REC purchases have a positive effect on stock returns of manufacturing firms but not service firms. The frequency of REC purchases is also an important factor in the relationship between REC purchase and firm value. Additionally, the study reveals that public attention to environmental pollution plays a crucial role in positive stock returns and volume, while ESG disclosure is negatively associated with returns and volume.
Article
Economics
Seife Ayele, Wei Shen, Yacob Mulugetta, Tadesse Kuma Worako
Summary: This paper addresses the challenges of governing energy procurement from a mix of non-hydropower renewable energy sources supplied by independent producers. Building on political economy analysis and five case studies of independent producer projects from Ethiopia, it seeks to understand the root causes of the protracted delays and limited extent of procurement by independent producers. The key contestations lie in managing long term contracts, risk, uncertainty and in developing the institutional and human capacity to transition.