基于数字孪生混合储能的电动汽车参与微电网负荷功率波动平抑研究

doi:10.19562/j.chinasae.qcgc.2024.06.011

Abstract

Abstract:

For the problem that the peak load of electric vehicles will increase significantly after they are connected to the microgrid， which will cause the peak-valley difference to increase， and thus affect the stable operation of the microgrid， a method for reducing load power fluctuation of electric vehicles participating in the microgrid based on digital twin hybrid energy storage is proposed. The load characteristics of electric vehicles are analyzed by calculating the initial charging state and off-grid time of electric vehicles. Combining the digital twin technology with the microgrid hybrid energy storage system， the digital twin hybrid energy storage model is constructed， and the load power fluctuation flattening objective function is constructed according to the load characteristics of electric vehicles， so as to realize the one-time control of load power fluctuation. The load power fluctuation of electric vehicles participating in microgrid is stabilized by HESSS self-regulation and secondary load power correction. The test results show that the load power fluctuation is between 20 and 60 kW under the application of the method， with the power supply shortage probability of the microgrid lower than 33%， and the peak-valley difference of the power load in typical and atypical day lower than 44%. It shows that this method can analyze the charging state of electric vehicles under different states， and can effectively realize the load power leveling of microgrid.

Key words: digital twin, hybrid energy storage, electric vehicles, microgrid, load power, fluctuation flattening

Longfei Ma,Baoqun Zhang,Liyong Wang,Jiani Zeng,Ran Jiao,Cheng Gong. Research on Participation of Electric Vehicles in Microgrid Load Power Fluctuation Mitigation Based on Digital Twin Hybrid Energy Storage[J].Automotive Engineering, 2024, 46(6): 1045-1053.

Figures/Tables 7

References 26

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组成部分	参数名称	数值
风机	额定功率/kW	90
	额定风速/（m·s^-1）	15
	切入风速/（m·s^-1）	3
	切出风速/（m·s^-1）	30
	1 min的最大输出功率波动值/MW	16.3
	10 min的最大输出功率波动值/MW	54.2
超级电容	单位容量/（kW·h）	1
蓄电池	电压/容量	12 V/600 A·h
电动汽车	电池容量/（kW·h）	60
电动汽车	最大放电功率/kW	3

时间/h	功率波动比例/%			允许的最大缺电率/%
时间/h	10	20	30	允许的最大缺电率/%
3	14.4	15.1	18.8	33
6	12.5	16.7	19.2
9	16.2	15.5	18.7
12	14.7	17.4	19.5
15	15.3	18.5	18.2
18	13.6	16.9	18.1
21	17.1	17.7	19.1
24	18.2	16.9	19.3

输出功率/kW	典型日					非典型日
输出功率/kW	原始波动	文献［8］	文献［9］	文献［10］	本文方法	原始波动	文献［8］	文献［9］	文献［10］	本文方法
200	80.2	69.4	59.6	56.8	41.8	68.1	56.2	51.2	47.5	35.2
400	77.6	65.1	57.2	58.5	42.5	70.2	53.0	54.0	46.3	33.7
600	79.5	61.3	60.3	64.2	43.1	69.3	54.6	56.3	50.2	34.1
800	81.3	56.4	51.6	60.3	41.7	71.4	52.7	49.6	46.9	35.6
1 000	78.2	63.4	56.2	60.2	43.6	66.8	56.2	49.2	48.0	34.4
1 200	77.7	56.2	54.3	57.9	42.8	67.3	54.6	50.1	49.6	33.7
1 400	76.9	56.1	54.2	54.6	40.7	69.4	58.3	50.8	52.1	35.9
1 600	78.2	60.4	59.6	53.0	41.9	71.2	59.4	48.2	53.2	33.7
1 800	79.3	63.1	54.8	58.1	42.2	70.6	55.2	49.6	49.6	32.9
2 000	80.1	59.7	57.2	56.7	43.3	69.7	54.9	51.9	47.9	35.1

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Research on Participation of Electric Vehicles in Microgrid Load Power Fluctuation Mitigation Based on Digital Twin Hybrid Energy Storage

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