A flexible control strategy of plug-in electric vehicles operating in seven modes for smoothing load power curves in smart grid

Khemakhem, Siwar; Rekik, Mouna; Krichen, Lotfi

doi:10.1016/j.energy.2016.12.039

Cited by 50 publications

(30 citation statements)

References 42 publications

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“…The increased costs arise mostly from the Lithium-ion batteries, although the costs of other components, especially the engines, are currently much higher than ICE motors. Conversely, as there is only a one rotating part in an electric motor in comparison to numerous moving parts in a combustion engine, the EV maintenance costs are approximately half those of ICE engines [15] [17]. Moreover, EV fuel costs are considerably lower than ICE vehicles.…”

Section: Electric Vehicle Selection Issuesmentioning

confidence: 99%

“…Replacing internal combustion engines (ICE) with silent-running, zeroemission electric motors affords one primary mechanism for overcoming excessive emissions issues and urban noise levels [12] [13][15] [16]. Recent developments in electric storage and automotive technology have resurrected awareness for employing electric vehicles (EV) to conduct urban freight delivery [15] [17]. Relative to ICE vehicles, EVs possessing high efficiency electric motors hold numerous advantages such as low fuel and maintenance costs, zero emissions (improves air quality while decreasing emissions), and silent operations issues [9][15] [16].…”

Section: Introduction To Urban Logistics and Electric Vehiclesmentioning

confidence: 99%

“…Unfortunately, if a decision between selecting ICE and EV engine vehicles for urban transshipment is posed as a strict either-or evaluation, using existing computational methods, it is not difficult to establish that ICE vehicles would be the preferred choice. In such comparative decision-making assessments, new EV technology currently lacks widespread commercial acceptance due to low vehicle range, long recharge times, and significant initial adoption costs [15] [17]. Thus, the introduction of significant technological advances are requisite prior to considering EVs as an effective replacement in long-range transportation [2].…”

Section: Introduction To Urban Logistics and Electric Vehiclesmentioning

confidence: 99%

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An Algorithm for Computing Solutions to the Range Limited Routing Problem Using Electrical Trucks

Gunalay

Yeomans

2020

Wseas Transactions on Computers

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Increasing urban intensification has caused civic planners to devote additional resources to more appropriate logistics planning. Electric vehicles have proved to be both a lower cost alternative and more environmentally friendly than the more ubiquitous internal combustion engine vehicles. However, prevailing decision-making formulations employed by municipalities and businesses are not necessarily computationally conducive for the evaluation and optimization of urban transportation systems using electric vehicles. An innovative computational approach, the range limited routing problem, is introduced that enables urban planners to more readily evaluate the contributions of electric vehicles to the city logistics decision-making process. While there is no generalized solution technique for solving this new formulation, this paper employs the Firefly Algorithm (FA) metaheuristic to solve the range limited routing problem using electric trucks.

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Section: Electric Vehicle Selection Issuesmentioning

confidence: 99%

Section: Introduction To Urban Logistics and Electric Vehiclesmentioning

confidence: 99%

Section: Introduction To Urban Logistics and Electric Vehiclesmentioning

confidence: 99%

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An Algorithm for Computing Solutions to the Range Limited Routing Problem Using Electrical Trucks

Gunalay

Yeomans

2020

Wseas Transactions on Computers

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“…This article successfully deals with these different difficulties simultaneously using a second-order sliding mode control (SOSMC) based on the STA. Unlike the previous literatures, 23,24,26,27 a control method based on first-order SMC of a RDG is validated under parameter uncertainties and external disturbances. Note that the major drawback of the first-order SMC is the ''chattering'' consisting in highfrequency oscillations which lead to unstable system dynamics.…”

Section: Introductionmentioning

confidence: 99%

Power management and second-order sliding mode control for standalone hybrid wind energy with battery energy storage system

Krim

Abbes

Krim

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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The purpose of this article is to provide a high performance control of a renewable distributed generator to guarantee an electric power quality and jointly reduce the mechanical stress despite any possible uncertainties such as the random nature of wind speed, the presence of parameters uncertainties, and external perturbations acting on the system (sudden load variation). The renewable distributed generator integrating a wind generator associated with a batteries module is considered as an energy storage device and a variable load. The proposed method is designed by a power management supervisor and a sliding mode control technique. First, the power management supervisor is used to monitor the power flows transferred between the different system devices depending on the load variation and on the intermittency of wind production. In fact, it enables to ensure the balance at the continuous, Direct Current (DC) bus between the powers supplied by the renewable distributed generator and those demanded by the load. In addition, it prevents batteries from exceeding its maximum or minimum state of charge (SOC bat) by keeping it at an acceptable level [30%, 90%]. Second, a second-order sliding mode control based on the super-twisting algorithm is suggested to control the two subsystems (generator side and load side converters). The main target of the first one is to extract the maximum wind power taking into account the parameter variations and the fluctuating nature of wind. The second one is to investigate a second-order sliding mode control of active and reactive load power quantities, which provides better results in terms of attenuation of the harmonics present in the load voltage and current while considering the sudden load variations. In addition, a proportional-integral controller is also designed and simulated to establish a comparison framework. According to the simulation results, the second-order sliding mode control successfully deals with the nonlinearity of the renewable distributed generator compared with the proportional-integral performance.

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“…Charging or discharging priorities can be organized through seven operating modes and it can achieve smoothness on the power load curve. (Khemakhem, Rekik, & Krichen, 2017) Some studies (Hu, Zhan, Zhang, & Song, 2016;Moon & Kim, 2017;Soares, Ghazvini, Borges, & Vale, 2017) were conducted to balance charging by proposing optimal electricity price. In (Soares et al, 2017), prices proposed for different price-sensitive customer classes considering electricity Demand Respond (DR).…”

Section: Introductionmentioning

confidence: 99%

Electrical Vehicles Charging Coordination by Fuzzy Logical System

Kiliçarslan¹,

Ateş²,

Aydilek³

et al. 2018

Uluslararası Muhendislik Arastirma Ve Gelistirme Dergisi

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Today, with the rapid technological development, interest in electric vehicles is also increasing. This raises the question of what the effects of the vehicles on the electric power network will be. In this article, the adverse effects of charging scenarios of electric vehicles' batteries on the electric power network are examined and fuzzy logic based solutions are proposed to prevent or reduce the effects of charging electric vehicles during peak hours. In this article a fuzzy logic system that is providing the cheapest charging prices, also reducing the impact on the load curve of Turkey's electrical network is provided.

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A flexible control strategy of plug-in electric vehicles operating in seven modes for smoothing load power curves in smart grid

Cited by 50 publications

References 42 publications

An Algorithm for Computing Solutions to the Range Limited Routing Problem Using Electrical Trucks

An Algorithm for Computing Solutions to the Range Limited Routing Problem Using Electrical Trucks

Power management and second-order sliding mode control for standalone hybrid wind energy with battery energy storage system

Electrical Vehicles Charging Coordination by Fuzzy Logical System

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