Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles

Saber, Ahmed Yousuf; Venayagamoorthy, G.K.

doi:10.1109/jsyst.2011.2163012

Cited by 278 publications

(208 citation statements)

References 20 publications

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“…Saber and Venayagamoorthy (2012) had a closer look into resource sched uling of EVs and RES under uncertainty in a smart grid. In their paper, they use a Particle Swarm Optimization to minimize emis sions and costs and for the uncertainties, scenarios are considered [18]. propose already a method for inte grating EVs into a smart grid with RES in a context of a parking lot [19] and additionally taking the battery condition into consider ation [20].…”

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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Section: Related Workmentioning

confidence: 99%

Integrating renewable energy sources by electric vehicle fleets under uncertainty

Seddig

Jochem

Fïchtner

2017

Energy

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“…While this relationship is an approximation of the true relationship [22], it is commonly used in the literature as it represents a good tradeoff between simplicity and accuracy; see, for instance, [17], [23], and [25]. Furthermore, we assume a loss factor of l plant > 1 of the delivered energy to account for the energy conversion losses.…”

Section: A Utility Functionsmentioning

confidence: 99%

On Optimality Criteria for Reverse Charging of Electric Vehicles

Stüdli

Griggs

Crisostomi

et al. 2014

IEEE Trans. Intell. Transport. Syst.

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Abstract-Ever increasing expectations regarding the penetration level of electric vehicles (EVs) are driving several areas of research related to EV charging. One topic of interest treats EVs not only as controllable loads but also as storage systems, which can be used to mitigate the load on the grid during peak times by offering power. This is known as vehicle to grid (V2G). Since returning energy to the grid affects mobility patterns, V2G has an associated environmental cost. In this paper, to investigate this issue, we formulate the problem of returning electrical load to the grid as an optimization whose goal is to return the desired energy in a fashion that minimizes the cost on the environment. We show that this optimization is highly complex, and in some circumstances, the cost of V2G can be prohibitive.Index Terms-Electric vehicles, optimization methods, smart grids. NOMENCLATUREThe following terms are used throughout the paper: PHEV Plug-in hybrid electric vehicle.

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“…Carvalho [83] showed that a 10% penetration of electric vehicles in the Portuguese fleet would increase the electrical load by 3% and reduce wind curtailment by 26% based on simulation results. Other scholars have shared ideas on the coordination between PHEVs/EVs and renewable energy through unit commitment [84][85][86], demand response [87] and the optimal siting and capacity of stations [88].…”

Section: Long-term Operationmentioning

confidence: 99%

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

Liu

et al. 2013

Energies

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Abstract:Increasing concerns about global environmental issues have led to the urgent development of green transportation. The enthusiasm of governments should encourage the prosperity of the plug-in hybrid electric vehicles/electric vehicles (PHEVs/EVs) industry in the near future. PHEVs/EVs are not only an alternative to gasoline but are also burgeoning units for power systems. The impact of large-scale PHEVs/EVs on power systems is of profound significance. This paper discusses how to use PHEVs/EVs as a useful new tool for system operation and regulation from a review of recent studies and mainly considers two mainstream methods: demand response and economic dispatch. The potential of using PHEVs/EVs to coordinate renewable energy resources is also discussed in terms of accepting more renewable resources without violating the safety and the reliability of power systems or increasing the operation cost significantly.

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Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles

Cited by 278 publications

References 20 publications

Integrating renewable energy sources by electric vehicle fleets under uncertainty

Integrating renewable energy sources by electric vehicle fleets under uncertainty

On Optimality Criteria for Reverse Charging of Electric Vehicles

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

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