使用量化状态方法分析病态功率流
Ill-Conditioned Power Flow Analysis Using a Quantized State-Based Approach
AI总结：
本文提出了一种基于量化状态的方法，用于改进病态情况下功率流分析的鲁棒性和自适应步长控制。
摘要：
本文聚焦于通过牛顿流（牛顿方法的连续时间公式）进行功率流分析。在此框架下，我们探讨了量化状态概念如何被纳入以指导牛顿流向功率流解的演化。该方法提供了一种新的视角来处理自适应步长控制，并展示了状态量化如何在病态情况下增强鲁棒性。所提出方法的性能通过ACTIVSg70k合成测试系统进行讨论。
英文摘要：
This paper focuses on power flow analysis through the lens of the Newton flow, a continuous-time formulation of Newton's method. Within this framework, we explore how quantized-state concepts, originally developed as an alternative to time discretization, can be incorporated to govern the evolution of the Newton flow toward the power flow solution. This approach provides a novel perspective on adaptive step-size control and shows how state quantization can enhance robustness in illconditioned cases. The performance of the proposed approach is discussed with the ACTIVSg70k synthetic test system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
