Quantifying load flexibility of electric vehicles for renewable energy integration

Schuller, Alexander; Flath, Christoph M.; Gottwalt, Sebastian

doi:10.1016/j.apenergy.2015.04.004

Cited by 162 publications

(69 citation statements)

References 21 publications

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“…Our electric vehicle optimization assumed perfect knowledge of future driving plans on behalf of the drivers. This assumption overestimates electric vehicle flexibility (Schuller et al 2015). Finally, participation constraints on behalf of customers may also reduce the effectiveness of the proposed coordination schemes and may result in additional (contracting) costs.…”

Section: Limitations and Opportunities For Future Researchmentioning

confidence: 99%

Price-based load coordination revisited: augmenting open-loop coordination approaches

Flath

Gottwalt

2016

Bus Res

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The activation of flexible loads through demand side management offers opportunities for more efficient power systems operations. Price-based incentive are a straight-forward form for decentral coordination of these flexible loads. However, their applicability has recently been seen more pessimistic as they may induce new load peaks due to herding effects. We revisit these results by characterizing desynchronized posted pricing approaches. Illustrating highly flexible load by means of electric vehicle charging, we show that these desynchronized rate can mitigate the occurrence of extreme load spikes, improve the utilization of renewable generation and in summary create significant system cost savings. Our results show that simple open-loop pricing can almost match the efficiency of closed-loop adaptive pricing in settings with limited system flexibility. We find that the more renewable generation and flexible load are present in the system, the better more complex pricing schemes fare compared to simple ones. This insight may guide regulators and utilities in establishing more effective pricing schemes in retail electricity markets.

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Section: Limitations and Opportunities For Future Researchmentioning

confidence: 99%

Price-based load coordination revisited: augmenting open-loop coordination approaches

Flath

Gottwalt

2016

Bus Res

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“…Strategies that aim at balancing the energy grid (vehicle to grid -V2G) [7], [8] or degradation optimized charging strategies [9] will considerably benefit from a large database arising from EV currently in the field.…”

Section: Services In the Electric Mobility Sectormentioning

confidence: 99%

Smart Data Selection and Reduction for Electric Vehicle Service Analytics

Schoch

Staudt

Setzer

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Battery electric vehicles (BEV) are increasingly used in mobility services such as car-sharing. A severe problem with BEV is battery degradation, leading to a reduction of the already very limited range of a BEV. Analytic models are required to determine the impact of service usage to provide guidance on how to drive and charge and also to support service tasks such as predictive maintenance. However, while the increasing number of sensor data in automotive applications allows for more fine-grained model parameterization and better predictive outcomes, in practical settings the amount of storage and transmission bandwidth is limited by technical and economical considerations. By means of a simulation-based analysis, dynamic user behavior is simulated based on real-world driving profiles parameterized by different driver characteristics and ambient conditions. We find that by using a shrinked subset of variables the required storage can be reduced considerably at low costs in terms of only slightly decreased predictive accuracy.

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“…Refs. [9], [10]. Not only opti mized scheduling strategies are applied, but also different algo rithm can be used to determine optimized schedules, e. g. Ref.…”

Section: Related Workmentioning

confidence: 99%

Integrating renewable energy sources by electric vehicle fleets under uncertainty

Seddig

Jochem

Fïchtner

2017

Energy

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a b s t r a c tElectric vehicles are one of the concepts towards green and sustainable transportation systems. However, several uncertainties with respect to electricity demand and availability of electric vehicles as well as electricity supply by renewable energy sources influence an optimal scheduling through smart charging strategies. This paper investigates the possibilities to integrate additionally loads of uncertain renewable energy sources by smart charging strategies of three different electric vehicle fleets namely, com mercial customers, commuters, and opportunity parkers. Therefore, data from an empiric field test with a public charging infrastructure in a parking garage with a photovoltaic system is taken. Various stra tegies are analyzed, considering the changing individual electricity demand, restrictions and parking times of electric vehicle fleets by combining a Monte Carlo simulation approach with different meth odologies like a heuristic algorithm, an optimization model and stochastic programming. The numerical results indicate that the domestic photovoltaic generation of the car park can be fully used by the electric vehicle fleets for charging and the utilization of photovoltaic can be doubled when comparing uncon trolled and optimized charging strategies. The commuter fleet has the highest CO 2 emission reduction potential of all three electric vehicle fleets. Moreover, load management decreases costs, even when uncertainties are considered.

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Quantifying load flexibility of electric vehicles for renewable energy integration

Cited by 162 publications

References 21 publications

Price-based load coordination revisited: augmenting open-loop coordination approaches

Price-based load coordination revisited: augmenting open-loop coordination approaches

Smart Data Selection and Reduction for Electric Vehicle Service Analytics

Integrating renewable energy sources by electric vehicle fleets under uncertainty

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