💥1 概述
相量测量单元 （PMU） 收集高精度电压和电流数据，以监控电力系统的性能。但是，在电源系统内的每条总线上实施PMU的成本很高。最佳PMU放置（OPP）对于最大限度地减少实施的PMU数量同时保持网络的完全可观察性变得必要。本文考虑了优化PMU放置时总线连接的弹性。首先，开发图形和数学模型。接下来，采用机会约束规划的技术来创建考虑N-1偶然性的随机模型。最后，通过应用随机规划技术，使用IEEE 1996可靠性测试系统对模型进行测试。
文献来源：
https://ieeexplore.ieee.org/document/8973553
Optimal PMU Placement Using Stochastic Methods | IEEE Conference Publication | IEEE Xplore
📚2 运行结果
本文仅展现这两个部分。
部分代码：
user = input('Enter a value from 0 to 1: '); if isempty(user) user = 0.95; disp('Default value used: 0.95'); disp(' '); end %iterations disp('How many tests would you like to run? (For example: "100".)'); user2 = input('Enter a greater than 10: '); if isempty(user2) user2 = 50; disp('Default value used: 50'); disp(' '); end %% STOCHASTIC: tb = 73; %total number of buses tzib = 40; %total number of zero-injection buses tbc = 107; %total number of bus connections (120, considering the 12 doubles) tzibc = 99; %total number of zero-injection bus connections %load probability of branch failures %duration data [2] has been divided by 8760 to get a percentage of annual time offline
🎉3 文献来源
部分理论来源于网络，如有侵权请联系删除。
[1]M. Mandich, T. Xia and K. Sun, "Optimal PMU Placement Using Stochastic Methods," 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 2019, pp. 1-5, doi: 10.1109/PESGM40551.2019.8973553.
