An aggregate model of plug-in electric vehicles including distribution network characteristics for primary frequency control

Izadkhast, Seyedmahdi; Garcı́a-González, P.; Frías, Pablo; Ramírez-Elizondo, Laura; Bauer, Pavol

doi:10.1109/pesgm.2016.7741118

Cited by 11 publications

(10 citation statements)

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“…• A discussion on the non-obvious result that popular strategies based on locally measured grid frequency may not be appropriate for the control of PEV charging, as these approaches sometimes fail to predict stability of the network. The latter point may be regarded as a surprising result, given that, as discussed above, some works in the literature exploit small devices for supporting system frequency regulation, most notably electric vehicles [7], but also micro-grids [22], [23], or thermostatically controlled loads, such as refrigerators and airconditioners [24]. However, in such studies, the small devices do not originate the instability, which is what happens in the PEV charging problem investigated in this work.…”

Section: Contributionsmentioning

confidence: 70%

“…With respect to short-term time scales, in [7], the authors propose an aggregate model of PEVs for the Primary Frequency Control (PFC), which proves to help considerably regulate the frequency of the system after a large disturbance. Also [8] shows that the adoption of advanced centralized PEVs charging strategies reduces the negative impact of the electric mobility penetration, e.g.…”

Section: B Literature Reviewmentioning

confidence: 99%

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Decentralized Charging of Plug-In Electric Vehicles and Impact on Transmission System Dynamics

Moschella

Murad

Crisostomi

et al. 2021

IEEE Trans. Smart Grid

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This paper focuses on the impact of the charge of Plug-in Electric Vehicles (PEVs) on the dynamic response of power systems and proposes an efficient solution to control electric vehicle chargers, by dynamically allocating the available power in an optimized way. The proposed approach is based on an Additive-Increase-Multiplicative-Decrease (AIMD) stochastic decentralized control strategy to efficiently and seamlessly manage the charge of a high number of PEVs with little communication efforts. A modified version of the New England network is utilized to validate the proposed control through a variety of scenarios and control setups. Index Terms-Plug-in electric vehicles, loading margin, frequency control, decentralized control.

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Section: Contributionsmentioning

confidence: 70%

Section: B Literature Reviewmentioning

confidence: 99%

Decentralized Charging of Plug-In Electric Vehicles and Impact on Transmission System Dynamics

Moschella

Murad

Crisostomi

et al. 2021

IEEE Trans. Smart Grid

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“…The EV can be directly charged through power grids. It is possible to treat the charging of EV batteries as an additional load [25], so that it will be included into the electricity demand paid by consumers. The extra electricity of EV can be sold back to grids through the aggregator by signing contract with system operators.…”

Section: Electric Vehiclementioning

confidence: 99%

Unit commitment in achieving low carbon smart grid environment with virtual power plant

Hua

Sun

et al. 2017

2017 International Smart Cities Conference (ISC2)

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Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract-This paper proposes a novel unit commitment (UC) model under smart grid (SG) environment, which intends to strike a balance pursuing minimum carbon emissions for policy maker, minimum costs for generators and minimum payment bills for consumers. This leads to a multiobjective optimization problem (MOP) which can be solved through the multiobjective immune algorithm (MOIA). Therefore, the energy market scheduling problem considering low carbon smart grid environment can be analysed. The case studies are conducted to demonstrate the proposed model and present the allocation of power generations as well as the daily energy market scheduling results. It has been proved that the penetration of SG contributes to the mitigation of carbon emissions during the peak demand time by around 500 ton/h. It is also suggested that if the policy maker can provide appropriate monetary compensation for the deployment of SG technologies, generators will be encouraged to participate in the SG deployment.Index Terms-Smart grid (SG), unit commitment (UC), multiobjective optimization (MOP), virtual power plant (VPP), electric vehicle (EV), demand response (DR).

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“…The aggregation equal model is presented in Ref. , and EVs are used to regulate the power grid frequency with consideration of the maximum distribution network loss, maximum current allowed by the transformer, and EVs' charging/discharging power. A new framework for using EVs' random reply to realize power system frequency restoration under constant supply and demand unbalance is proposed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Residential level electric vehicle and grid dynamic interaction modeling and stability analysis

Wang

Yang

et al. 2018

IEEJ Transactions Elec Engng

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This study investigates the stability of residential-level electric vehicle (EV) and grid dynamic interaction. The impedancebased analytical approach is applied in a three-phase distribution network with single-phase EV household charging systems, which consist of voltage-and current-controlled converters with LCL filters. The dynamic mathematical model of the interaction system is deduced from the topology and the control link of the EV charging system. The equivalent impedance model of the charging system is derived from the control loop, and the influence of LCL filters on the closed control loop is considered. Then, impedance-ratio-based stability analysis method is applied to the residential-level interaction dynamics to characterize the influence of different parameters. Analytical and simulation results validate the effectiveness of the proposed method. The regular pattern arrived at can be applied in designing EV charging infrastructure.

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An aggregate model of plug-in electric vehicles including distribution network characteristics for primary frequency control

Cited by 11 publications

References 0 publications

Decentralized Charging of Plug-In Electric Vehicles and Impact on Transmission System Dynamics

Decentralized Charging of Plug-In Electric Vehicles and Impact on Transmission System Dynamics

Unit commitment in achieving low carbon smart grid environment with virtual power plant

Residential level electric vehicle and grid dynamic interaction modeling and stability analysis

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