Aggregated Impact of Plug-in Hybrid Electric Vehicles on Electricity Demand Profile

Darabi, Zahra; Ferdowsi, Mehdi

doi:10.1109/tste.2011.2158123

Cited by 357 publications

(162 citation statements)

References 18 publications

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“…The integration of EVs into power systems affects distribution networks in many aspects such as transformers distribution lines, energy loss, power quality and the utilization rate and reliability of power systems [40]. As an important reference to the operation of power systems, the utilization rate of distribution network equipment is also affected by V2G technology and the integration of EVs into power systems.…”

Section: The Influence On the Utilization Rate Of Distribution Networmentioning

confidence: 99%

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

He¹,

Chen²,

Yang

et al. 2018

Prot Control Mod Power Syst

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The economy of distribution networks largely depends on the utilization rate of distribution network equipment. Most of the emerging intelligent power consumption technologies have a positive effect on equipment utilization and their use can save investment of distribution networks. In this paper, the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment is reviewed. The evaluation methods and indexes are assessed first and then intelligent power consumption equipment with energy storage function, vehicle-to-grid (V2G) technology and time-of-use (TOU) tariff are reviewed respectively. It is concluded that these intelligent power consumption technologies and measures have great potential to improve utilization rate of distribution network equipment because of their effective improvement to power load. Meanwhile, recommendations on how to utilize these intelligent power consumption technologies to improve utilization rate of distribution network equipment are proposed.

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Section: The Influence On the Utilization Rate Of Distribution Networmentioning

confidence: 99%

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

He¹,

Chen²,

Yang

et al. 2018

Prot Control Mod Power Syst

View full text Add to dashboard Cite

show abstract

“…Electric vehicles are considered to be the energy storage device with the most potential to absorb the volatility of renewable energy [2]. When a large number of EVs are aggregated, the huge total battery capacity is sufficient to stabilize the disturbance of the grid caused by the distributed power grid interconnection [3].…”

Section: Introductionmentioning

confidence: 99%

Electric Vehicle Charging and Discharging Coordination on Distribution Network Using Multi-Objective Particle Swarm Optimization and Fuzzy Decision Making

2016

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This paper proposed a optimal strategy for coordinated operation of electric vehicles (EVs) charging and discharging with wind-thermal system. By aggregating a large number of EVs, the huge total battery capacity is sufficient to stabilize the disturbance of the transmission grid. Hence, a dynamic environmental dispatch model which coordinates a cluster of charging and discharging controllable EV units with wind farms and thermal plants is proposed. A multi-objective particle swarm optimization (MOPSO) algorithm and a fuzzy decision maker are put forward for the simultaneous optimization of grid operating cost, CO 2 emissions, wind curtailment, and EV users' cost. Simulations are done in a 30 node system containing three traditional thermal plants, two carbon capture and storage (CCS) thermal plants, two wind farms, and six EV aggregations. Contrast of strategies under different EV charging/discharging price is also discussed. The results are presented to prove the effectiveness of the proposed strategy.

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“…However, the increasing penetration of these two new innovations brings up concerns regarding their impacts on the electrical grid security: on one hand, RES are asynchronous and intermittent by nature, and distributed mostly at the distribution grid level. They could trigger local congestion, frequency and voltage-related problems, as well as system wide balancing issues [1]- [3] ; on the other hand, if these innovation are not managed properly, the massive introduction of plug-in vehicles could jeopardize grid security [4]- [6]. Nevertheless, EVs have a good charging flexibility.…”

Section: Introductionmentioning

confidence: 99%

Coupling local renewable energy production with electric vehicle charging: a survey of the French case

Codani

Portz

Claverie

et al. 2016

IJATM

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The share of renewable energy sources (RES)' production in energy mixes, especially the ones of PV panels and wind farms, has been continuously increasing during the last few years. Similarly, a strong development of battery electric vehicles (EV) is expected within the next years. However, these two new innovations could trigger security issues on electrical grids, in particular local congestions and voltage deviations from the required standards. One way to mitigate these problems could be to combine the charging periods of the EVs with the local RES production. This paper aims at analysing the possibility to implement this kind of smart charging strategy in France by 2020, taking into account the wide diversity of local energy mixes in France and their seasonal dependencies. First, the authors identify four different energy mixes representative of most of the local French mixes, each one related to a region in France. Then, we model the charging load curves of the EVs at the substation level for the same regions. We deduce the "green charging ratio" (GCR) without any charging management strategy. The same ratio is then computed assuming that an Energy Management System (EMS), which goal is to maximize this ratio, controls the EV charging patterns. The results are provided for each region and seasons. They show a wide diversity of green charging ratio achievable: in very windy regions, the GCR without any EMS is already rather high; on the contrary, in sunny regions, the GCR is much improved with the implementation of the EMS. In such regions, the GCR can also be enhanced with the penetration of charging stations at working places.

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Aggregated Impact of Plug-in Hybrid Electric Vehicles on Electricity Demand Profile

Cited by 357 publications

References 18 publications

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment

Electric Vehicle Charging and Discharging Coordination on Distribution Network Using Multi-Objective Particle Swarm Optimization and Fuzzy Decision Making

Coupling local renewable energy production with electric vehicle charging: a survey of the French case

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