电动汽车充电站集成引发的网络微电网Hopf分叉辨识

X. Jiang, Yan Li, Liang Du, Daning Huang
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引用次数: 1

摘要

提出了一种考虑分布式能源动态的延拓方法,用于识别由电动汽车充电站集成引起的网络微电网Hopf分叉。建立了网络化微电网的动态模型,并进行了分岔分析。提出了一种自适应预测校正方法,用于在分岔参数空间中寻找平衡点。大量的数值结果证明并验证了亚临界Hopf分岔的预测,在此基础上可以在必要时采用相应的控制策略来稳定系统。这些特点使延续法成为确定系统关键操作和提供早期预警的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Hopf Bifurcations of Networked Microgrids Induced by the Integration of EV Charging Stations
A continuation method considering the dynamics of distributed energy resources (DERs) is presented to identify Hopf bifurcations in the networked microgrids induced by the integration of electrical vehicle (EV) charging stations. The dynamic model of networked microgrids is developed for bifurcation analysis. An adaptive predictor-corrector approach is presented for inclusively searching for equilibrium points in the space of bifurcation parameters. Extensive numerical results have demonstrated and validated the prediction of the subcritical Hopf bifurcation, based on which corresponding control strategies can be employed to stabilize the system when necessary. These features make the continuation method an effective tool for determining the system's critical operations and providing early warnings.
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