Modern power systems face a grand challenge in grid management due to increased electricity demand, imminent disturbances, and uncertainties associated with renewable generation, which can compromise grid security. The security assessment is directly connected to the robustness of the operating condition and is evaluated by analyzing proximity to the power flow solution space's boundary. Calculating location of such a boundary is a computationally challenging task, linked to the power flow equations' non-linear nature, presence of technological constraints, and complicated network topology. In this paper we introduce a general framework to characterize points on the power flow solution space boundary in terms of auxiliary variables subject to algebraic constraints. Then we develop an adaptive continuation algorithm to trace 1-dimensional sections of boundary curves which exhibits robust performance and computational tractability. Implementation of the algorithm is described in detail, and its performance is validated on different test networks.
翻译:现代电力系统在电网管理方面面临着巨大的挑战,因为电力需求增加、迫在眉睫的干扰以及与可再生能源有关的不确定性可能损害电网安全。安全评估与运行状况的稳健性直接相关,并通过分析离电流解决方案空间边界的近处进行评估。计算这种边界的位置是一项具有计算上挑战性的任务,与电力流方程式的非线性、技术制约的存在和复杂的网络地形有关。在本文件中,我们引入了一个总框架,从受代数制约的辅助变量的角度来描述电力流解决方案空间边界的点。然后,我们开发一个适应性的连续算法,以追踪显示强劲性能和可计算性能的边界曲线的一维部分。算法的实施有详细描述,其性能在不同的测试网络上得到验证。