基于虚拟惯性自适应算法的电动汽车控制策略
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(1.河海大学,江苏 南京 210098;2.江苏方天电力技术有限公司, 江苏 南京 211102)

作者简介:

朱小鹏(1995—),男,通信作者,硕士研究生,研究方向为电力系统稳定与控制。E-mail:hhuzxp_work@163.com

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国家自然科学基金项目资助(51507050);江苏省电力公司科技项目资助(J2017025)


Control strategy of electric vehicle based on virtual inertial adaptive algorithms
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(1. Hohai University, Nanjing 210098, China;2. Jiangsu Frontier Electric Power Technology Co., Ltd., Nanjing 211102, China)

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    摘要:

    针对电动汽车双向DC/DC变换器,提出了一种虚拟惯性自适应控制策略。首先对电动汽车接入的交直流混合微电网的换流器采用虚拟同步发电机技术进行控制,以此提高微电网的频率稳定性。然后,对电动汽车双向DC/DC变换器采取虚拟惯性自适应控制,使其能够为直流网络的电压提供惯性支持,又可以在负荷出现波动时抑制直流电压变化过快,负荷波动消失时使电压迅速恢复至额定值。最后,在PSCAD/EMTDC中搭建含电动汽车的交直流混合微电网模型并进行测试。测试结果验证了所提控制算法的正确性与有效性。

    Abstract:

    A virtual inertial adaptive control strategy is proposed for bidirectional DC/DC converters of electric vehicles. In order to improve the frequency stability of the microgrid, the converter of AC/DC hybrid microgrid connected by electric vehicles is controlled by the virtual synchronous generator technology. Then, the virtual inertia adaptive control is adopted for the electric vehicle bidirectional DC/DC converter, which can provide the inertia support for the voltage of the DC network. It can also restrain the DC voltage change too fast when the load fluctuates, and the voltage can be quickly restored to the rated value when the load fluctuation disappears. Finally, a AC/DC hybrid microgrid model containing electric vehicles is built and simulated in PSCAD/EMTDC. The simulation results verify the effectiveness of the proposed control algorithm. This work is supported by National Natural Science Foundation of China (No. 51507050) and Science and Technology Project of Jiangsu Electric Power Company (No. J2017025).

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朱小鹏,卫志农,颜全椿,等.基于虚拟惯性自适应算法的电动汽车控制策略[J].电力系统保护与控制,2019,47(22):134-141.[ZHU Xiaopeng, WEI Zhinong, YAN Quanchun, et al. Control strategy of electric vehicle based on virtual inertial adaptive algorithms[J]. Power System Protection and Control,2019,V47(22):134-141]

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  • 收稿日期:2018-12-13
  • 最后修改日期:2019-04-23
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  • 在线发布日期: 2019-11-15
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