Aggregation Model-Based Optimization for Electric Vehicle Charging Strategy

Zheng J.; Wang X.; Men K.; Zhu C.

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Aggregation Model-Based Optimization for Electric Vehicle Charging Strategy

机译：基于聚集模型的电动汽车充电策略优化

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摘要

This paper presents an aggregation charging model for large numbers of electric vehicles (EVs). A genetic algorithm (GA) is employed to obtain the stochastic feature parameters of the aggregation model, and a charging strategy based on the aggregation model is developed to reduce the power fluctuation level caused by EV charging. In addition, an updatable optimization method is proposed to track the variation of the EV charging characteristics. The proposed charging strategy and optimization method are validated by the simulation results.

机译：本文提出了一种针对大量电动汽车（EV）的聚集充电模型。采用遗传算法获取聚集模型的随机特征参数，并提出了基于聚集模型的充电策略，以减少电动汽车充电引起的功率波动。此外，提出了一种可更新的优化方法来跟踪电动汽车充电特性的变化。仿真结果验证了所提出的计费策略和优化方法。

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来源
《Smart Grid, IEEE Transactions on》 |2013年第2期|1058-1066|共9页
作者
Zheng J.; Wang X.; Men K.; Zhu C.;
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State Key Lab of Power Systems, the Department of Electrical Engineering, Tsinghua University, Beijing, China|c|;

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原文格式 PDF
正文语种 eng
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关键词
Aggregation model; electric vehicle; optimal charging; parameter estimation; stochastic distribution;

机译：聚集模型电动汽车最优充电参数估计随机分布;

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3. A New Efficient Fuel Optimization in Blended Charge Depletion/Charge Sustenance Control Strategy for Plug-In Hybrid Electric Vehicles [J] . Erfan Taherzadeh, Morteza Dabbaghjamanesh, Mohsen Gitizadeh, IEEE Transactions on Intelligent Vehicles . 2018,第3期

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7. Model-Based Quantification of Load Shift Potentials and Optimized Charging of Electric Vehicles [O] . Tobias Hahn, Martin Schönfelder, Patrick Jochem, 2013

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Aggregation Model-Based Optimization for Electric Vehicle Charging Strategy

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