Optimal charging of electric drive vehicles in a market environment

By Trine Krogh Kristoffersen, K. Capion, P. Meibom. 2011

331 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/0272b76ec698894ea8ea53b6e05c78468500b11f

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In Automotive Engineering

In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets (2013, background): “Although the first research efforts focused on bidirectional (vehicle-to-grid, V2G) interaction [5], [20], [21] recently some models for unidirectional optimal bidding strategy have been proposed.”
Stochastic Modeling of Power Demand Due to EVs Using Copula (2012, methodology): “For example, in [3] EVs power demand is derived based on representative driving patterns obtained through clustering of data from the Danish National Travel Survey.”
Optimal Bidding Strategy of a Plug-In Electric Vehicle Aggregator in Day-Ahead Electricity Markets Under Uncertainty (2015, background): “Only some of the mentioned approaches consider the fact that the market price is uncertain [13], [15], [18].”
Flexibility mechanisms and pathways to a highly renewable US electricity future (2016, background): “By only focusing on the flexible load component of PEVs and how PEV demand impacts the integration of renewables, POWER ignores the full energy system benefits/costs from PEVs.”
A bilevel model for electricity retailers' participation in a demand response market environment (2013, background): “Clustering the driving behaviour of electric car owners is proposed in Kristoffersen et al. (2011) for optimising their charging and discharging.”
Impacts of Electric Vehicle charging under electricity market operations (2013, background): “[17] the findings of a linear regression model, which minimised charging and discharging costs subject to constraints in the Nordpool electricity market was presented.”
Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects (2016, unknown): “Kristoffersen et al. [53] investigated a method to construct driving patterns from the historic data in Denmark.”
Distribution Grid Impacts of Smart Electric Vehicle Charging From Different Perspectives (2015, background): “Such charging strategies have recently received much attention in [5] and [11] and the overviews of current research on this theme provided in [3] and [18].”
A Comprehensive Study of Implemented International Standards, Technical Challenges, Impacts and Prospects for Electric Vehicles (2018, background): “On the other hand, in [164,165], the authors identified that even without the additional generating capacity; only the timeof-use tariff plans and optimized charging conditions can considerably alleviate the peak demand.”
Review of Positive and Negative Impacts of Electric Vehicles Charging on Electric Power Systems (2020, background): “In [75,76], it was concluded that the increase in peak demand can be crucially mitigated by the use of optimized charging and time of use (ToU) charging.”
Power system impacts of electric vehicles in Germany: Charging with coal or renewables? (2015, background): “Kristoffersen et al. (2010) as well as Juul and Meibohm (2011 and 2012) also find that EVs provide flexibility mostly by opti‐ mized charging activities and not so much by discharging power back to the grid.”