Orderly Charging and Discharging Scheduling Strategy for Electric Vehicles Considering the Demands of Both Users and Power Grid

Liu, Suyu; Chen, Yuepeng; Leng, Zhiwen; Su, Yixin; Wang, Haotian; Liu, Wenjie

doi:10.1109/cac53003.2021.9728438

Cited by 5 publications

(7 citation statements)

References 2 publications

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“…The analysis above highlights that the widespread adoption of EVs charging can result in a significant increase in the peak-to-off-peak load difference within the power grid. This not only leads to greater power grid losses but also poses a threat to the stable operation of the entire power system [5,12]. Therefore, it becomes imperative to ensure the smoothness of the load curve.…”

Section: The Model Of the Minimum Peak-to-valley Difference In Grid L...mentioning

confidence: 99%

“…Since China's accession to the WTO in 2001, the opening of China's automotive market has led to rapid growth in the automotive industry [1]. Car sales have surged from 2.36 million in 2001 to a peak of 28.88 million in 2018, making China the world's largest and fastest-growing automotive market [5]. Although vehicle sales growth has slowed to 25-27 million in recent years, vehicle ownership continues to rise.…”

Section: Introductionmentioning

confidence: 99%

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The impact of electric vehicle scale on grid load: analysis based on the load peak-valley difference minimization model

Li,

Yuan,

et al. 2024

Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023)

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Electric vehicles have been experiencing rapid growth in China in recent years, and this trend is expected to impact the grid load. Using Jiangsu Province in China as an example, this paper predicts that the market penetration rate of new energy vehicles will reach 50% in China, and the number of electric vehicle owners in Jiangsu Province will exceed 6 million by the year 2030. Further analysis reveals that the increasing adoption of new energy sources and electric vehicles leads to a rise in centralized EV charging, which amplifies the disparity between peak and off-peak electricity demand. Additionally, this paper introduces an objective function centered around peak-value electricity demand and a peak-valley time-sharing tariff strategy with the aim of minimizing the peak-to-off-peak load difference in the grid. It is found that, in order to reduce the peak-to-off-peak load difference in the grid, there is a need to increase the electricity price during peak hours to some extent.

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Section: The Model Of the Minimum Peak-to-valley Difference In Grid L...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of electric vehicle scale on grid load: analysis based on the load peak-valley difference minimization model

Li,

Yuan,

et al. 2024

Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023)

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show abstract

“…In terms of orderly charging and discharging scheduling of electric vehicles, Liu [6] established a minimum model strategy for user charging and discharging costs that takes into account battery loss, but it is mainly based on the user side and lacks consideration of the demand on the grid side. Xu and Li [7] proposed an optimization strategy aiming at minimizing the peak-to-valley difference rate of power grid load, but in the optimization process, only the user's response to the peak-valley electricity price policy was analyzed, and the user's response to the scheduling strategy was not considered.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the actual scheduling process, users' concern about the impact of frequent charging and discharging on the battery will affect the development and promotion of the V2G project. erefore, in order to evaluate the battery response cost in the process of implementing V2G for electric vehicles, the battery loss cost in the V2G response process needs to be fully considered, and the average discharge rate index [19] is proposed to quantify the discharge frequency:…”

Section: Battery Depletion Modelmentioning

confidence: 99%

A Two-Level Integrated Scheduling Strategy for Vehicle-Network Synergy considering New Energy Consumption

Gao

2022

Mathematical Problems in Engineering

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With the substantial increase in the number of electric vehicles, the charging of electric vehicles without regulation and scale control will bring about problems, such as overloading of distribution transformers; the proportion of new energy power generation is also increasing year by year, and the access of new energy to the power grid will cause volatility. In order to solve the problems above, this paper proposed a coordinated and orderly scheduling strategy considering new energy consumption, which protects the interests of both users and the integrated power grid. First, a two-level vehicle-network interaction model considering both supply and demand sides was established. The upper-level model optimized the indicators on the distribution grid side, and a term of charge-discharge margin as well as grid-side load variance model was proposed. The lower-level optimization model was set based on the users’ condition. The average discharge rate index was defined to evaluate the battery loss satisfaction in the scheduling strategy, which fully considered users’ charging and discharging cost, and finally achieved a win-win situation between the power grid and the user. Secondly, the fast nondominated sorting genetic algorithm (NSGA-II) was used to figure out the effect of the strategy proposed in this paper, and a community is taken as an example for simulation. The results confirmed the economy and rationality of the above strategy, by rationally scheduling the charging and discharging behavior of electric vehicles, consuming new energy, restraining the fluctuation of the remaining new energy power generation, realizing the dynamic balance between the charging and discharging load and the output of new energy in a certain area, and finally effectively suppressing the fluctuation of the power grid load while improving the availability of clean energy.

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“…Ref. [7] comprehensively considered the uncertainties such as SOC, parking time and time-sharing price of the vehicle, and analyzed the time and spatial distribution of the response power and charging load of electric vehicles in V2G by using fuzzy algorithm. Ref.…”

Section: Introductionmentioning

confidence: 99%

An Assessment Method for the Impact of Electric Vehicle Participation in V2G on the Voltage Quality of the Distribution Network

Chen

et al. 2022

Energies

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In order to further evaluate the impact of vehicle-to-grid (V2G) on the distribution network, this paper studies a method to assess the influence of electric vehicles participating in charge and discharge on the voltage quality of the distribution network. First, considering the state of charge of the EV, the participation of the owner and other factors, the charging and discharging model is built. Then, the probabilistic power flow calculation based on Latin hypercube sampling is used to obtain the probability distribution of the voltage amplitude of the charge and discharge load connected to the distribution network, and finally the evaluation index is established to quantify and calculate the voltage quality of the distribution network participating in the V2G process of electric vehicles. Simulation results show that the evaluation method has the advantage of fast calculation speed while ensuring known accuracy, introduces the probability distribution of expected value and variance quantification of voltage amplitude, more intuitively understands the degree of influence on voltage quality before and after V2G, and can effectively assess the impact of electric vehicles accessing the distribution network in V2G mode on the power quality of low-voltage residential areas and industrial and commercial areas, and this evaluation method can provide useful reference for the formulation of future V2G control strategies and the planning of future urban power grids.

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Orderly Charging and Discharging Scheduling Strategy for Electric Vehicles Considering the Demands of Both Users and Power Grid

Cited by 5 publications

References 2 publications

The impact of electric vehicle scale on grid load: analysis based on the load peak-valley difference minimization model

The impact of electric vehicle scale on grid load: analysis based on the load peak-valley difference minimization model

A Two-Level Integrated Scheduling Strategy for Vehicle-Network Synergy considering New Energy Consumption

An Assessment Method for the Impact of Electric Vehicle Participation in V2G on the Voltage Quality of the Distribution Network

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