引用本文:陈渊睿,徐铭康,曾君,等.基于平行CPSS的电动汽车参与储能汇聚复用建模与分析[J].控制与决策,2019,34(11):2428-2437
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基于平行CPSS的电动汽车参与储能汇聚复用建模与分析
陈渊睿1, 徐铭康1, 曾君1, 王振刚1, 刘俊峰2
(1. 华南理工大学电力学院,广州510640;2. 华南理工大学自动化科学与工程学院,广州510640)
摘要:
电动汽车动力电池是分布式储能的重要组成部分.对此,基于信息物理社会(CPSS)融合系统理论,深度融合信息(对私家车出行的调查数据)、物理(动力电池的充放电物理模型)以及社会(实际用户对电价或激励的响应)因素,借鉴平行系统思想,以软件定义的方式构建映射真实电动汽车群体的平行人工电动汽车群体,研究电动汽车作为分布式储能参与储能汇聚复用的可行性和有效性.以参与辅助电网平抑区域负荷波动为例,采用蒙特卡洛方法和中心极限定理,得到不同场景下人工电动汽车群体的日充放电曲线,并进一步完成以下仿真实验:1)给定价格策略下,不同理性程度的用户充放电行为差异;2)不同价格策略下,电动汽车群体充放电行为对区域负荷方差的影响和相应的电网成本与收益;3)不同动力电池参数下,电动汽车群体接入电网后区域负荷方差缩减量变化.得到的仿真结果可以为电网制定合理的价格策略提供指导,也为挖掘影响电动汽车作为分布式储能帮助降低区域负荷方差的关键因素提供依据,并从源头上为电动汽车有序接入电网提供技术支撑.
关键词:  电动汽车  蒙特卡洛方法  中心极限定理  社会物理信息系统  平行系统  储能汇聚复用
DOI:10.13195/j.kzyjc.2019.0489
分类号:TP273
基金项目:国家自然科学基金项目(61573155,51877085).
Modelling and analysis of electric vehicles participating in the convergence and multiplexing of energy storage system based on parallel CPSS
CHEN Yuan-rui1,XU Ming-kang1,ZENG Jun1,WANG Zhen-gang1,LIU Jun-feng2
(1. School of Electric Power,South China University of Technology,Guangzhou 510640,China;2. School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,China)
Abstract:
This paper evaluates the capacity of electric vehicles(EV) as an important part of distributed energy storage systems to suppress regional load fluctuations in power grid. Firstly, based on cyber-physical-social system (CPSS), an artificial electric vehicle group is constructed in a software-defined manner, combining the private car travel statistics, power battery physical models and users’ response to time-of-use electricity prices or incentives. Then, the Monte Carlo method and central limit theorems are applied to simulate the charging and discharging behavior of the artificial EV group in different scenarios, thus, the mathematical expectation of time-division charge-discharge power is obtained as daily charge-discharge profile. And the simulation experiments are completed interms of the aspects as follows: 1) the differences in charge and discharge behaviors of users with different rational levels under the same price strategy, 2) the effect of charge and discharge behavior of electric vehicles on regional load variance under different price strategies and corresponding costs and benefits of the grid, 3) the changes in regional load variance reduction after the electric vehicle group is connected to the grid under different power battery parameters. Finally, the simulation results provide guidance for the grid to develop a reasonable price strategy, and also show the key factors affecting the electric vehicles as distributed energy storage systems to suppress the load variance. Besides, fundamental technical support for the orderly access of electric vehicles to the grid is provided.
Key words:  electric vehicles  Monte-Carlo method  central limit theorems  cyber-physical-social systems  parallel systems  convergence and multiplexing of energy storages

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