Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures

Rahman, Imran; Vasant, Pandian; Singh, Balbir Singh Mahinder; Abdullah-Al-Wadud, M.; Adnan, Nadia

doi:10.1016/j.rser.2015.12.353

Cited by 336 publications

(178 citation statements)

References 92 publications

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“…When it comes to different methodological approaches used in the EV charging context, the review paper of Rahman et al (2016) gives a broad insight of existing optimization models [8]. Several papers compare different charging strategies, including heuristics vs. smart charging strategies with respect to self consumption of electricity from own PV systems, e.g.…”

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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“…Research suggests that the transportation sector at present consume over 55% of oil and emit around 25% of CO 2 in total [1]. With the introduction of electric vehicles technology marked a considerable amount of carbon-free transportation in a current market trend [2]. By keeping a close consideration at the research on electric vehicle technology adoption, the main idea was to incorporate electrically charged battery supported vehicles i.e.…”

Section: Short Communicationmentioning

confidence: 99%

Adoption of Plug-in Hybrid Electric Vehicle among Malaysian Consumers

Adnan¹,

Vasant²

2016

Ind Eng Manage

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“…There are three types of EV charging modes: conventional charging, fast charging, and battery swapping [8,9]. The battery swapping mode replaces depleted batteries with fully charged batteries and charges the depleted batteries on a charging platform.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System

Li³

et al. 2017

International Journal of Photoenergy

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Photovoltaic-(PV-) based battery swapping stations (BSSs) utilize a typical integration of consumable renewable resources to supply power for electric vehicles (EVs). The charging strategy of PV-based BSSs directly influences the availability, cost, and carbon emissions of the swapping service. This paper proposes an optimal charging strategy to improve the self-consumption of PV-generated power and service availability while considering forecast errors. First, we introduce the typical structure and operation model of PV-based BSSs. Second, three indexes are presented to evaluate operational performance. Then, a particle swarm optimization (PSO) algorithm is developed to calculate the optimal charging power and to minimize the charging cost for each time slot. The proposed charging strategy helps decrease the impact of forecast uncertainties on the availability of the battery swapping service. Finally, a day-ahead operation schedule, a real-time decision-making strategy, and the proposed PSO charging strategy for PV-based BSSs are simulated in a case study. The simulation results show that the proposed strategy can effectively improve the self-consumption of PV-generated power and reduce charging cost.

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Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures

Cited by 336 publications

References 92 publications

Integrating renewable energy sources by electric vehicle fleets under uncertainty

Integrating renewable energy sources by electric vehicle fleets under uncertainty

Adoption of Plug-in Hybrid Electric Vehicle among Malaysian Consumers

An Optimal Charging Strategy for PV-Based Battery Swapping Stations in a DC Distribution System

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