Real‐time scheduling of electric vehicles charging in low‐voltage residential distribution systems to minimise power losses and improve voltage profile

Luo, Xiao; Chan, Ka Wing

doi:10.1049/iet-gtd.2013.0256

Cited by 84 publications

(54 citation statements)

References 27 publications

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“…As shown in the 2009 NHTS, numerous electric vehicle owners finish their last trips within a narrow time period, and most of them prefer to charge their vehicles shortly after the last trip; these inappropriate charging activities have negative effects on network operation. Therefore, it is urgent to propose an optimal electric vehicle charging strategy for regulating electric vehicle charging loads, because the proposed strategy can play an important role in load shifting, energy cost saving, and improving energy efficiency for distributed power networks [11][12][13]. As two of the most important objectives, reducing system losses and voltage fluctuation have been studied frequently in literature, with the aim of developing an electric vehicle charging strategy.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration

et al. 2018

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Abstract:With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system transmission loss by optimizing domestic electric vehicle charging loads. In this paper, a domestic electric vehicle charging loads model is first developed by analyzing the key factors that can affect users' charging behavior. Subsequently, the Monte Carlo method is proposed to simulate the power consumption of a cluster of domestic electric vehicles. After that, an optimal electric vehicle charging strategy based on the 0-1 integer programming is presented to regulate network daily loads. Finally, by taking the IEEE33 distributed power system as an example, this paper tries to verify the efficacy of the proposed optimal charging strategy and the necessity for considering seasonal factors when scheduling electric vehicle charging loads. Simulation results show that the proposed 0-1 integer programming method does have good performance in reducing the network peak-valley gap, voltage fluctuation rate, and transmission loss. Moreover, it has some potential to further reduce power system transmission loss when seasonal factors are considered.

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Section: Introductionmentioning

confidence: 99%

An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration

et al. 2018

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“…Several works have been focused on the different optimization models for power systems by utilizing EVs [1][2][3][4][5][6][7][8][9]. However, most other cases only consider coordinated charging or non-flexible charging methods [1][2][3][4][5][6][7][8][9][10]. For example, Masoum, A. S. et al [1] consider about coordinating PEV (plug-in electric vehicle) charging by using a developed SLM (smart load management) control method for mitigating the increase in demand load at peak time.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Masoum, A. S. et al [1] consider about coordinating PEV (plug-in electric vehicle) charging by using a developed SLM (smart load management) control method for mitigating the increase in demand load at peak time. Similar studies also focus on uni-directional charging for PEVs [2][3][4][5][6][7], which analyze the impact on power distribution networks by using different proportions of electric vehicles, various seasons and different charging times. In Ref.…”

Section: Introductionmentioning

confidence: 99%

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An Optimization Model of EVs Charging and Discharging for Power System Demand Leveling

Du¹,

Cao²,

Jin³

et al. 2017

JMEA

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This paper presents an advanced methodology for optimizing a UK network load demand with various uncertainties which are related to individual driving behaviours. Without the optimized regulation for traditional power system demand, EVs (electric vehicles) would have an adverse impact on the stability of power systems. This becomes more significant for large-scale EVs plugging into the power grid. Traditional optimized methodologies are effective only for EV charging. The proposed techniques improve the system flexibility and stability through an advanced optimization model and flexible bidirectional charging/discharging control. Three scenarios with different charging and discharging power levels and various penetration levels of EVs are discussed in detail in this paper. Simulation results demonstrate that bidirectional EV power flow control has vast potentials to improve the load demand profile, with increased proportion of EVs, and charging/discharging power levels.

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“…A real-time scheduling method of EV charging load was proposed to increase voltage security margin in a low-voltage distribution system, but the energy stored in EV batteries was not fully utilized [20]. In [21], EVs were used to provide the voltage support of power system with the integration of photovoltaic power generation, which demonstrates the feasibility of using EVs for voltage control with intermittent renewable energy.…”

Section: Introductionmentioning

confidence: 99%

A preventive control strategy for static voltage stability based on an efficient power plant model of electric vehicles

Wang

Jia

et al. 2015

J. Mod. Power Syst. Clean Energy

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With the increasing integration of wind farms and electric vehicles (EVs) in power systems, voltage stability is becoming more and more serious. Based on vehicle-to-grid (V2G), an efficient power plant model of EVs (E-EPP) was developed to estimate EV charging load with available corresponding response capacity under different charging strategies. A preventive control strategy based on E-EPP was proposed to maintain the static voltage stability margin (VSM) of power system above a predefined security level. Two control modes were used including the disconnection of EV charging load ('V1G' mode) and the discharge of stored battery energy back to power grid ('V2G' mode). A modified IEEE 14-bus system with high penetration of wind power and EVs was used to verify the effectiveness of preventive control strategy. Simulation results showed that the proposed strategy can not only improve the static voltage stability of power system with considerable wind generation, but also guarantee the travelling comfort for EV owners.

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Real‐time scheduling of electric vehicles charging in low‐voltage residential distribution systems to minimise power losses and improve voltage profile

Cited by 84 publications

References 27 publications

An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration

An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration

An Optimization Model of EVs Charging and Discharging for Power System Demand Leveling

A preventive control strategy for static voltage stability based on an efficient power plant model of electric vehicles

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