Intelligent charging strategy for PHEVs in a parking station based on Multi-objective optimization in smart grid

Tong, Jingjing; Zhao, Tianyang; Yang, Xu; Zhang, Jianhua

doi:10.1109/itec-ap.2014.6941164

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…This is unavoidable if continuous demand of the EV is to be met. Besides the higher cost of charging, another drawback is the grid overloading because of the high inrush current demanded by the EV, as shown in the results [103]. This normally occurs during the peak hours.…”

Section: Resultsmentioning

confidence: 99%

A critical review of electric vehicle charging using solar photovoltaic

Bhatti

Salam

Aziz

et al. 2015

Int. J. Energy Res.

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SUMMARYThe application of renewable sources such as solar photovoltaic (PV) to charge electric vehicle (EV) is an interesting option that offers numerous technical and economic opportunities. By combining the emission-free EV with the low carbon PV power generation, the problems related to the greenhouse gases due to the internal combustion engines can be reduced. Over the years, numerous papers, including several review work, have been published on EV charging using the grid electricity. However, there seems to be an absence of a review paper on EV charging using the PV as one of the energy sources. With growing interest in this topic, this review summarizes and updates some of the important aspects of the PV-EV charging. For the benefit of a wider audience, it provides the background on the EV fundamentals, batteries and a brief overview on the PV systems. Two types of PV-EV charging, namely the PV-grid and the PV-standalone, are comprehensively covered. Moreover, a case study is carried out in comparison to the grid-only charging to critically analyse the technical and the economical feasibilities of both types using Matlab simulation. At the end, recommendations and future directions are presented. It is envisaged that the material gathered in this paper will be a valuable source of information for the researchers working on this topic.

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Section: Resultsmentioning

confidence: 99%

A critical review of electric vehicle charging using solar photovoltaic

Bhatti

Salam

Aziz

et al. 2015

Int. J. Energy Res.

View full text Add to dashboard Cite

show abstract

“…Genetic Algorithm (GA) is previously used to solve large-size problems. Tong et al (2014), for instance, have solved a multiobjective problem of the allocation of PHEVs' charging stations by the use of GA. Ant Colony Algorithms (ACO) has been previously employed to optimize EV fleet. Yang et al (2014), for instance, have employed AOC to optimize the spatiotemporal performance of EV charging loads.…”

Section: Previous Studies and Knowledge Gapmentioning

confidence: 99%

Drivers’ range anxiety and cost of new EV chargers in Amsterdam: a scenario-based optimization approach

Mashhoodi

Blij

2020

Annals of GIS

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Due to the sharp growth in the adaptation of electric vehicles (EV) in the Netherlands and the objectives of the Dutch Climate Accord is to encourage electric mobility, in the coming decades a substantial number of new EV charging facilities needs to be provided. Efficient planning of EV charging infrastructure is coupled with the notion of range anxiety, which is likely to be severely high in case of soon-to-be EV drivers. This study aims to estimate the cost of developing a new charging infrastructure under five scenarios of range anxiety in Amsterdam East. Employing a Linear Integer Programming optimization model, on the basis of geographic data on car registration, existing EV chargers, and electricity substations, it is obtained that if drivers use 90% of their battery before using a charging facility, the existing charging infrastructure needs to be expanded by only 31% to accommodate almost seven times larger number of EVs-the threshold set by the European Union (EU) legislation on the deployment of alternative fuel infrastructure. If drivers use only 30% of the batteries; however, an increase of 167% in infrastructure is inevitable (accounting for almost five million euro of cost). Second, at any point along the range anxiety spectrum, if the interval between charging session increases for 1 day, the overall cost decreases by more than 30%. These findings are discussed, and two policy approaches are proposed: (1) information technology approach; (2) demand-response approach, on the basis of EU legislation on energy efficiency and deployment of alternative fuel infrastructure.

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“…Heuristic algorithms, such as genetic algorithm (GA), are used for solving large scale optimization models. Tong et al (2014), for instance, used a nondominated sorting GA for a multi-objective optimization of PHEV charging stations at different times of the day, subject to a large set of constraints. A variety of previous studies have optimized the fleet of the EVs.…”

Section: Previous Studies and Knowledge Gapmentioning

confidence: 99%

The two and half minute walk: Fast charging of electric vehicles and the economic value of walkability

Mashhoodi

Timmeren

Blij

2019

Environment and Planning B: Urban Analytics and City Science

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The number of electric vehicles in the Netherlands has sharply increased over the past decade. This has caused a need for the allocation of a substantial amount of new electric vehicle chargers around the country, which in turn has been acknowledged by a variety of legislative bodies. However, the approach of how these new charging infrastructures need to be spatially distributed has yet to be decided, including the distance that an electric vehicle charger could be allocated from the final destination of its driver. The hypothesis of this study is that if residents walk a longer distance to/from these charging stations, the chargers could be shared by a greater number of electric vehicle owners, and the total cost of the new charging infrastructure could be reduced. By using linear integer programming, the minimum cost of allocating new fastcharging stations in a central, densely populated area of Amsterdam, accounting for 7% of the city's population, is calculated. The results show that if residents were to walk for five minutes (roughly 400 metres) instead of two and half minutes (roughly 200 metres), the overall cost of new electric vehicle chargers could be reduced by more than 1 million euros. The study also found that both the cost of new charging stations and their efficiency of use are vastly affected by the portion of the charging infrastructure that is saved for people visiting the area. The findings of this study are discussed in detail, including the proposal of potential further studies.

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Intelligent charging strategy for PHEVs in a parking station based on Multi-objective optimization in smart grid

Cited by 7 publications

References 14 publications

A critical review of electric vehicle charging using solar photovoltaic

A critical review of electric vehicle charging using solar photovoltaic

Drivers’ range anxiety and cost of new EV chargers in Amsterdam: a scenario-based optimization approach

The two and half minute walk: Fast charging of electric vehicles and the economic value of walkability

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