Abstract A Transmission Expansion Planning (TEP) problem is proposed to find the optimal configuration of the transmission network with considering security and resilience constraints. Due to the importance of blackouts and cascading failure, the proposed Resilient TEP (RTEP) minimizes the effects of cascading outages in term of load curtailment. In order to estimate the size of cascading outages, based on the total lost load, an iterative algorithm is proposed to analyze and simulate the steady state mechanism of cascading outages. A set of initiating events are defined as the triggering points of the cascading failure and the consequent chain of related outages are identified to determine the blackout size. In addition to the resilience constraints, the security constraints based on N-1 security criterion are also considered. Based on the Benders Decomposition (BD) algorithm, a multi-stage solution procedure is developed to handle the investment decisions, security constraints, and resilience requirements efficiently. In order to achieve the optimal resilient TEP configuration, all the master and sub-problems are formulated as Mixed Integer Programming optimization models. The proposed RTEP is implemented over the IEEE 24-bus test system.

中文翻译：

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长期输电扩展规划，以提高电力系统对级联停电的恢复能力

摘要 提出了一个传输扩展规划(TEP)问题，以在考虑安全性和弹性约束的情况下寻找传输网络的最佳配置。由于停电和级联故障的重要性，建议的弹性 TEP (RTEP) 最大限度地减少了级联停电在削减负荷方面的影响。为了估计连锁停电的规模，基于总损失负载，提出了一种迭代算法来分析和模拟连锁停电的稳态机制。一组启动事件被定义为级联故障的触发点，并确定相关中断的后续链以确定中断大小。除了弹性约束外，还考虑了基于 N-1 安全准则的安全约束。基于 Benders 分解 (BD) 算法，开发了一个多阶段求解程序，以有效处理投资决策、安全约束和弹性需求。为了实现最佳的弹性 TEP 配置，所有主问题和子问题都被制定为混合整数规划优化模型。提议的 RTEP 是在 IEEE 24 总线测试系统上实现的。