Optimization of Electric Vehicle Charging to Shave Peak Load for Integration in Smart Grid

Debnath, Bidya; Biswas, Sabyasachi; Uddin, Md. Forkan

doi:10.1109/tensymp50017.2020.9231029

Cited by 16 publications

(7 citation statements)

References 20 publications

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“…However, the increasing penetration rate of EVs brings enormous panoramic situational awareness data, which poses new challenges for power grid planning and scheduling, stability control, and operation [1][2][3][4]. The large-scale integration of EVs will lead to an increase in peak-to-valley differences in electricity demand, affecting the stable operation of networks [5][6][7]. In addition, the chaotic charging behavior of EV owners, which form charging clusters, can result in the irrational allocation of electric power resources.…”

Section: Introductionmentioning

confidence: 99%

An Equivalent-Perceptional Intertemporal Choice Heuristics Model for Electric Operation Vehicle Charging Behavior

Han,

Quan,

et al. 2024

Symmetry

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The inherent stochasticity of electric operation vehicle (EOV) charging poses challenges to the stability and efficiency of regional power distribution networks. Existing charging behavior decision-making models often prioritize revenue considerations, neglecting the influence of multi-time-span characteristics and the potential irrationality of EOV owners. To address these limitations, this study proposes a comprehensive framework encompassing three aspects. First, operational data are statistically analyzed to reconstruct EOV operation scenarios, establishing a dynamic charging scheme tailored to multi-time-span characteristics. Second, an improved ITCH model is developed using operational equivalent change to incorporate both gains and losses. Third, a WFL framework is employed to integrate the perceptual attenuation of revenue into the ITCH model. Simulation results show that decision-makers (DMs) demonstrate a preference for charging schemes with high equivalent perceived revenues and low time costs. Moreover, when the charging price is doubled, revenue perception attenuation leads decision-makers to postpone their charging behavior. Compared to other models, the equivalent perception intertemporal choice heuristics (EP-ITCH) charging model results in reduced load peaks, valleys, and variances on the grid side. This study highlights the model’s effectiveness and accuracy in optimizing EOV charging infrastructure.

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Section: Introductionmentioning

confidence: 99%

An Equivalent-Perceptional Intertemporal Choice Heuristics Model for Electric Operation Vehicle Charging Behavior

Han,

Quan,

et al. 2024

Symmetry

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show abstract

“…Demandside policies could incentivize an EV owner to schedule their vehicle charging in an optimal way or give the utility (or a third-party entity) control of vehicle charging. Doing so can provide benefits to the utility, such as reducing peak generation (Debnath et al 2020), and providing additional flexibility to facilitate VRE integration . Ultimately, smart charging has the potential to lower emissions and costs of operating the electricity network.…”

Section: Introductionmentioning

confidence: 99%

Flexible electric vehicle charging and its role in variable renewable energy integration

Seatle

Kennedy

et al. 2023

Environ Syst Res

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Uptake of electric vehicles is accelerating as governments around the world aim to decarbonize transportation. However, swift and widespread electric vehicle (EV) adoption will require some degree of controlled charging to mitigate the adverse impacts of electric vehicle adoption. Simulating the interaction between transportation and power requires new modelling tools with operational detail and spatial-temporal granularity. This analysis evaluates the potential benefits of utility-controlled charging (UCC) with the objective of reducing variable renewable energy (VRE) curtailment in decarbonized power systems using a framework that links travel and power system models using an intermediate charging model. Results show that the addition of VRE generation infrastructure shows the most impact on electricity system operating emissions and costs, but EV charging plays a significant role as well. Within EV charging strategies, UCC charging decreases emissions by 7% compared to uncontrolled charging. UCC is proven to be most effective in the summer due to higher electric vehicle fuel economy. Finally, the type of VRE generation infrastructure on the grid may have implications for siting of EV charging infrastructure due to the typical temporal peaks of wind and solar energy. These findings demonstrate how the use of distinct but linked travel and power sector models can be deployed to reduce multi-sector emissions and costs.

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“…O uso conjunto destas tecnologias pode contribuir para suprir altas demandas de energia, de modo a achatar a curva de carga em horários críticos. Debnath et al (2020) propõe um sistema coordenado de carregamento de VE's, que utiliza cronogramas de carregamento em conjunto com uma rede de servidores. O autor enfatiza que, mesmo sem a integração de energias renováveis e da tecnologia V2G, o estudo realizado aponta uma diminuição de cerca de 14 % no pico de demanda em relação à curva não coordenada de carga.…”

Section: Introdu ç ãOunclassified

Minimização dos Custos de Operação de um Veículo Elétrico com Capacidade V2G

Macklyster Lãnucy S. S. de Lacerda,

Bruno Gonçalves Knoblauch,

Vinícius Ferreira dos Remédios

et al. 2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

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Electric vehicles (EV) have several advantages over traditional internal combustion vehicles, either for environmental or performance reasons. However, the autonomy of these vehicles is directly associated to the use of high energy density batteries, which in turn, have limitations related to charging time, depth of discharge and the number of charge/discharge cycles. These characteristics increase the costs related to energy and battery wear. However, a planned charging/discharging management, according to the owner's needs, has the ability to minimize the vehicle operational costs. In this article, the AMPL language is used to solve two optimization problems that aim to minimize the operational costs of an electric vehicle. A variable pricing plan called "Tempo Verde Supervalle" from the company Endesa, which operates in Spain, was used. In the elaborated problem, if it is financially advantageous, the vehicle owner can sell energy to the grid. The obtained results show that the proposed methodology can adapt to the energy purchase and sale tariffs, providing a reduction in the EV recharge price. Resumo: Os veículos elétricos (VE) possuem diversas vantagens em relação aos tradicionais veículos de combustão interna, seja por razões ambientais ou de performance. Entretanto, a autonomia desses veículos está diretamente associada à utilização de baterias de alta densidade energética, que por sua vez, possuem limitações relacionadas ao tempo de recarga, à profundidade de descarga e à quantidade de ciclos de carga/descarga. Essas características elevam os custos relacionados com energia e desgastes da bateria. Todavia, uma gestão planejada de carga e descarga, conforme as necessidades do proprietário, tem a capacidade de minimizar os custos de operação de um veículo elétrico. Neste artigo, a linguagem AMPL é utilizada para resolver dois problemas de otimização que visam minimizar os custos de operação do mesmo. Foi utilizado um plano de tarifação variável denominado "Tempo Verde Supervalle" da empresa Endesa, que opera na Espanha. No problema elaborado, caso seja financeiramente vantajoso, o proprietário do veículo pode realizar a venda de energia para a rede. Os resultados obtidos mostram que a metodologia proposta pode se adaptar às tarifas de compra e venda de energia, proporcionando uma redução do preço de recarga do VE.

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Optimization of Electric Vehicle Charging to Shave Peak Load for Integration in Smart Grid

Cited by 16 publications

References 20 publications

An Equivalent-Perceptional Intertemporal Choice Heuristics Model for Electric Operation Vehicle Charging Behavior

An Equivalent-Perceptional Intertemporal Choice Heuristics Model for Electric Operation Vehicle Charging Behavior

Flexible electric vehicle charging and its role in variable renewable energy integration

Minimização dos Custos de Operação de um Veículo Elétrico com Capacidade V2G

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