V2G模式下的EV建模研究

doi:10.16180/j.cnki.issn1007-7820.2022.02.012

摘要/Abstract

摘要：

风电并网规模的不断扩大给电力系统的稳定运行带来了巨大的挑战。针对不断增加的SR需求,提出了将EV作为SR调度的研究方法。文中对EV的充放电特性进行了分析及仿真,并采用成本效益分析法建立了系统发电成本、备用成本和EV调度成本之和最小的目标函数。采用蒙特卡洛模拟对V2G模式下的EV进行仿真,考虑分时电价策略,确定出了最佳的充放电时段,并绘制出V2G模式下EV充放电曲线。在火电机组提供SR的基础上,以EV是否作为SR参与调度为标准划分出不同场景。最后,通过对算例中不同场景机组的总运行成本与失负荷概率的对比分析,验证了EV作为SR调度的科学性与可行性。

关键词: 风电并网, 电动汽车, 充放电, 旋转备用, 蒙特卡洛, V2G, 调度, 机组

Abstract:

The continuous expansion of grid-connected wind power has brought considerable challenges to power system's stable operation. In response to the increasing demand for SR, a method using EV as SR scheduling is proposed. This study analyzes and simulates the charging and discharging characteristics of EV, and uses cost-benefit analysis to establish an objective function that minimizes the sum of system power generation costs, backup costs, and EV dispatch costs. The EV in V2G mode is stimulated through Monte Carlo simulation. With consideration of the time-of-use price strategy, the optimal charging and discharging period is determined, and the EV charging and discharging curve in V2G way is drawn. Based on the SR provided by thermal power units, different scenarios are divided based on whether the EV participates in scheduling as an SR. Finally, through the comparative analysis of the total operating cost and the probability of load loss of the units in different scenarios in the calculation example, the scientificity and feasibility of EV as SR scheduling are verified.

Key words: grid-connected wind power, electric vehicle, charge and discharge, spinning reserve, Monte Carlo, V2G, dispatch, unit

中图分类号:

TP11

蒋成成,朱健安,朱成名,王珂,章文俊. V2G模式下的EV建模研究[J]. 电子科技, 2022, 35(2): 74-78.

JIANG Chengcheng,ZHU Jian'an,ZHU Chengming,WANG Ke,ZHANG Wenjun. Research on EV Modeling in V2G Mode[J]. Electronic Science and Technology, 2022, 35(2): 74-78.

图/表 6

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