理论(学习稳定性)
逆变器
功率(物理)
信号(编程语言)
计算机科学
电子工程
控制理论(社会学)
控制工程
电气工程
工程类
电压
物理
控制(管理)
量子力学
机器学习
人工智能
程序设计语言
作者
Hui Yuan,Huanhai Xin,Zhiyi Li,Shiyang Li,Jiang Dai,Huisheng Gao
标识
DOI:10.1109/tste.2024.3406758
摘要
Modern power systems with the high penetration of inverter-based resources (IBRs) commonly face phase-lock loops (PLLs)-dominated small-signal stability issues, especially in low short-circuit grids. These issues can be addressed by refining controllers' design of IBRs, which however fails to be effective when power grids are operating under some critical conditions. To this end, this paper presents a novel optimization model for coordinating active power outputs (i.e., operation adjustment) of IBRs while satisfying small-signal stability constraints (SSSCs). In particular, SSSCs are formulated based on a new metric that quantifies the small-signal stability from the viewpoint of grid strength, which is especially suitable for those "black-boxed" IBRs. To reduce the problem-solving complexity due to the inherent discontinuity and nonlinearity, a sequential solution approach is proposed to decompose the original optimization problem into a sequence of sub-optimization problems (SOPs). Also, a dynamical-region-adjustment method and a convex-relaxing method are integrated to ensure the existence of feasible solutions and further enhance the solution efficiency. Finally, the performance of the proposed method is verified based on two test power systems.
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