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Utilization of Supercapacitor to Extend the Critical Clearing Time in a Power System
IEEE Open Journal of Industry Applications ( IF 7.9 ) Pub Date : 2020-11-27 , DOI: 10.1109/ojia.2020.3041209
Talitha P. Sari , Jinho Kim , Ardyono Priyadi , Vita Lystianingrum , Mauridhi H. Purnomo , Eduard Muljadi

Future power systems with a high penetration level of inverter-based renewable sources (IBRSs) will be vulnerable to severe grid faults because of the noticeable reduction in the total system inertia. Particularly, challenges will arise in securing the transient stability limits of synchronous generators in the systems. Fortunately, the stability limits can be extended by utilizing the existing inverter-based units as virtual damping devices. This paper proposes the utilization of an inverter-based supercapacitor (IBSC) to extend the critical clearing time (CCT) of a power system with a high penetration level of IBRSs; thus, it makes it possible to secure the transient stability limits of SGs. In order to utilize an IBSC, the controllability of the IBSC is explored by considering two factors: control scheme and location of the IBSC. First, to determine an effective control scheme for the IBSC, three control schemes, which are power-damping control, speed-damping control, and power and speed-damping control, are tested under severe fault conditions. Then, using each control scheme, the location of the IBSC is chosen in a certain power system by the most extended CCT. The proposed utilization strategy was validated under various scenarios in a modified IEEE 14-bus system using the PSCAD simulator.

中文翻译:


利用超级电容器延长电力系统的临界放电时间



由于总系统惯性的显着降低,基于逆变器的可再生能源(IBRS)渗透率较高的未来电力系统将容易遭受严重的电网故障。特别是,在确保系统中同步发电机的瞬态稳定性极限方面将出现挑战。幸运的是,可以通过利用现有的基于逆变器的单元作为虚拟阻尼装置来扩展稳定性限制。本文提出利用基于逆变器的超级电容器(IBSC)来延长IBRS渗透率高的电力系统的临界清零时间(CCT);因此,可以确保 SG 的瞬态稳定性极限。为了利用 IBSC,通过考虑两个因素来探索 IBSC 的可控性:控制方案和 IBSC 的位置。首先,为了确定 IBSC 的有效控制方案,在严重故障条件下对功率阻尼控制、速度阻尼控制以及功率和速度阻尼控制三种控制方案进行了测试。然后,使用每种控制方案,通过最扩展的 CCT 在某个电力系统中选择 IBSC 的位置。使用 PSCAD 模拟器在修改后的 IEEE 14 总线系统中的各种场景下验证了所提出的利用策略。
更新日期:2020-11-27
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