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An efficient method for Contingency-Constrained Transmission Expansion Planning

机译：一种有效的应急限制传输扩展规划方法

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摘要

This paper proposes an efficient method based on a mixed-integer linear programming (MILP) model to solve the multistage Contingency-Constrained Transmission Expansion Planning (CCTEP) problem. To account for security, an iterative algorithm based on Line Outage Distribution Factors (LODF) screens the worst-case contingency (either in existing or candidate lines) and dynamically adds constraints to the Transmission Expansion Planning (TEP) formulation to enforce the security criterion, reducing both the number of decision variables and simulation times with respect to alternative approaches. Transmission losses are included through the use of piecewise linear expressions. Furthermore, operational flexibility of generation resources is considered through the use of representative daily load curves (RDLC) to allow modeling of generator ramping constraints. The method is initially illustrated and validated through numerical simulations of the classic Garver's system. Then, the IEEE 118-bus and 300-bus systems are used to test its performance. The proposed approach can avoid under-investment in network capacity caused by neglecting transmission losses, security, and flexibility constraints.
机译：本文提出了一种基于混合整数线性编程（MILP）模型的有效方法，以解决多级差异化限制传输扩展规划（CCTEP）问题。要考虑安全性，基于线路中断分布因子（LODF）的迭代算法筛选了最坏情况的偶然性（在现有或候选行中），并动态为传输扩展规划（Tep）制定以实施安全标准，以便动态增加约束，以强制执行安全标准，减少替代方法的决策变量和模拟时间的数量。通过使用分段线性表达式包括传输损耗。此外，通过使用代表性每日负载曲线（RDLC）来考虑生成资源的操作灵活性，以允许发电机斜坡约束的建模。最初通过经典Garver系统的数值模拟来说明和验证该方法。然后，IEEE 118总线和300总线系统用于测试其性能。拟议的方法可以避免忽视传输损失，安全性和灵活限制的网络能力投资。

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