当前位置: X-MOL 学术Int. J. Electr. Power Energy Sys. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Full-time scale resilience enhancement framework for power transmission system under ice disasters
International Journal of Electrical Power & Energy Systems ( IF 5.0 ) Pub Date : 2021-03-01 , DOI: 10.1016/j.ijepes.2020.106609
Ningyuan Zhao , Xiaodan Yu , Kai Hou , Xiaonan Liu , Yunfei Mu , Hongjie Jia , Hui Wang , Hongmei Wang

Abstract A full-time scale resilience enhancement framework is proposed for power transmission system to improve its resistance against ice disasters. First, system resilience indices are developed to quantify the impacts of ice disasters on the transmission system. Next, the system resilience indices are broken down into each component, so as to locate the weak links of the system under ice disasters. On this basis, a full-time scale resilience enhancement framework is proposed involving pre-failure, during disaster and post-failure period of the ice disaster. In the pre-failure period, prevention strategies can be applied to avoid severe losses. In the during disaster period, deicing sequence can be optimal determined to delay the outage. In the post-failure period, maintenance measures of failed components can be optimized to recover the power supply as effective as possible. Case studies on the IEEE RTS-79 test system have been used to validate the effectiveness and practicality of the proposed approach.

中文翻译:

冰灾下输电系统全时尺度弹性增强框架

摘要 为提高输电系统抗冰灾能力,提出了一种全时尺度弹性增强框架。首先,开发系统弹性指数以量化冰灾对输电系统的影响。接下来,将系统弹性指标分解为各个组成部分,以定位系统在冰灾下的薄弱环节。在此基础上,提出了冰灾的灾前、灾中和灾后全时尺度的韧性增强框架。在故障前阶段,可以应用预防策略来避免严重的损失。在灾害期间,可以最优确定除冰顺序以延迟停电。在失败后的时期,可以优化故障组件的维护措施,以尽可能有效地恢复电源。IEEE RTS-79 测试系统的案例研究已被用于验证所提出方法的有效性和实用性。
更新日期:2021-03-01
down
wechat
bug