Preventive Transmission Maintenance Scheduling against Extreme Weather Events

Weixin Zhang, K. Xie, Bo Hu, Changzheng Shao
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Abstract

Multiple instances of devastation caused by catastrophic natural disasters illustrate the need of strengthening the resilience of power systems. This paper proposes a preventive transmission maintenance schedule (TMS) to enhance power system resilience by improving component health before catastrophes. In the proposed optimization model, transmission line fragility is considered to determine the maintenance plan of defective lines that minimizes load shedding throughout disasters. Using duality theory, the suggested model is further transformed from a tri-level to a bi-level optimization problem. The column-and-constraint generation (C&CG) algorithm is used to tackle the corresponding robust optimization problem. Finally, the suggested model and solution technique are implemented on the modified IEEE RTS-79 system. The significant cost reductions and increased resilience verify the effectiveness of the suggested model.
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针对极端天气事件的预防性输电维护计划
灾难性自然灾害造成的多次破坏表明,需要加强电力系统的恢复能力。本文提出了一种预防性输电维护计划(TMS),通过在灾难发生前改善部件的健康状况来增强电力系统的恢复能力。在提出的优化模型中,考虑了输电线路的易损性,以确定故障线路的维护计划,从而使灾害期间的减载最小化。利用对偶理论,进一步将该模型由三层优化问题转化为两层优化问题。采用列约束生成(C&CG)算法解决相应的鲁棒优化问题。最后,在改进后的IEEE RTS-79系统上实现了该模型和求解技术。成本的显著降低和弹性的增强验证了所建议模型的有效性。
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