泛在电力物联网中考虑风电消纳的电动汽车充放电控制策略研究

doi:10.12096/j.2096-4528.pgt.20008

摘要/Abstract

摘要：

电动汽车的充放电负荷在一定程度上可以参与电网功率调节，从而可以达到削峰填谷及降低系统功率波动的目的。特别是对于含有风电场的电力系统，电动汽车入网还可以充当储能装置来提高风电利用率并降低风电出力功率波动对电网造成的冲击。研究了基于泛在电力物联网的电动汽车充放电控制策略，建立了含有风电入网及电动汽车充放电的数学模型，使用粒子群算法对不同数量的电动汽车入网调节后的调节效果进行了对比，通过算例分析验证了电动汽车参与电网调节的适用性与有效性。

关键词: 泛在电力物联网, 电动汽车, 风电, 粒子群优化算法

Abstract:

The charge and discharge load of electric vehicles can participate in the power regulation of power grid to a certain extent, so as to achieve the purpose of cutting peaks and filling valleys and reducing system power fluctuations. Especially for the power systems containing wind farms, electric vehicles can also serve as energy storage devices to increase the utilization of wind power and reduce the impact of wind power fluctuations on the power grid. The control strategy based on the ubiquitous power internet of things of charging-discharging of electric vehicles was studied. A mathematical model containing wind power connected to the grid and electric vehicle charging and discharging was established, and the particle swarm optimization algorithm was used to compare the adjustment effects of different the grid. The simulation results verify the applicability and numbers of electric vehicles after they were connected to effectiveness of electric vehicles participating in the grid adjustment.

Key words: ubiquitous power internet of things, electric vehicle, wind power, particle swarm optimization algorithm

中图分类号:

TK81

陈小波, 杨秀媛. 泛在电力物联网中考虑风电消纳的电动汽车充放电控制策略研究[J]. 发电技术, 2021, 42(5): 561-567.

Xiaobo CHEN, Xiuyuan YANG. Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things[J]. Power Generation Technology, 2021, 42(5): 561-567.

图/表 9

图1 泛在电力物联网的信息交融模型

Fig.1 Information blending model of UPIoT

图2 风电出力功率曲线

Fig.2 Wind output power curve

图3 风电并网前后系统功率曲线

Fig.3 System power curves before and after wind power grid connection

表1 不同数量电动汽车的适应度

Tab. 1 Adaptability with different numbers of EVs

电动汽车数量/辆	适应度/GW
50	25.715
100	23.103
150	17.628
200	15.839
250	12.014
300	13.021

图4 不同数量电动汽车的迭代曲线

Fig.4 Iterative curves for different numbers of EVs

表2 不同数量电动汽车入网后电网峰、谷功率及峰谷差

Tab. 2 Peak, valley power and peak-valley difference after different numbers of EVs connected to the grid

电动汽车数量/辆	低谷功率/kW	高峰功率/kW	峰谷差/kW
50	7 735	11 290	3 555
100	7 958	11 120	3 162
150	8 090	11 040	2 950
200	8 370	10 800	2 430
250	8 600	10 740	2 140
300	8 605	10 860	2 255

图5 不同数量电动汽车入网后的电网功率曲线

Fig.5 Grid power curves after different numbers of EVs connected to the grid

表3 不同数量电动汽车入网后电网功率波动的改善效果

Tab. 3 Improvement effect of grid power fluctuations after different numbers of EVs connected to the grid

电动车数量/辆	用电低谷改善情况/%		用电高峰改善情况/%		用电峰谷差改善情况/%
电动车数量/辆	与原负荷相比	与前一种电动汽车数量参与调节相比	与原负荷相比	与前一种电动汽车数量参与调节相比	与原负荷相比	与前一种电动汽车数量参与调节相比
50	2.25	-	1.42	-	9.28	-
100	5.19	2.88	2.97	1.51	22.87	11.05
150	6.94	1.66	3.71	0.72	31.69	6.70
200	10.64	3.46	6.02	2.17	59.88	17.63
250	13.68	2.75	6.61	0.56	81.54	11.93
300	13.75	0.06	5.43	-1.12	72.28	-5.37

图6 不同数量辆电动汽车入网后的总充放电功率曲线

Fig.6 Total charge and discharge power curves after different numbers of EVs connected to the grid

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