Inertia Estimation Based on Observed Electromechanical Oscillation Response for Power Systems

被引:66
|
作者
Cai, Guowei [1 ]
Wang, Bo [1 ]
Yang, Deyou [1 ]
Sun, Zhenglong [1 ]
Wang, Lixin [1 ]
机构
[1] Northeast Elect Power Univ, Elect Engn Dept, Jilin 132013, Jilin, Peoples R China
基金
美国国家科学基金会;
关键词
Adaptive local iterative filtering decomposition; electromechanical oscillation response; inertia constant; phasor measurement unit; PARAMETER-ESTIMATION; KALMAN FILTER; DYNAMIC STATE; TIME; ENERGY;
D O I
10.1109/TPWRS.2019.2914356
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The inertia constant is a key parameter of synchronous grids that are robust to disturbances. This paper presents an inertia estimation method for a multi-area interconnected electric power system. The method utilizes the electromechanical oscillation response measured with a phasor measurement unit. On the basis of the classical swing equation, the mathematical relationships between inertia and electromechanical oscillation parameters (i.e., oscillation frequency and damping ratio of a mode) are determined. The equivalent inertia of the system can be estimated by extracting the frequency and damping ratio of a mode from the observed active power on the tie line in the electromechanical oscillation response. Moreover, the system damping coefficient can be estimated without additional calculation and measurement. The inertia estimation errors caused by the poor extraction of oscillation parameters are reduced by utilizing the advanced parameter identification technology called adaptive local iterative filtering decomposition to identify the frequency and damping ratio of a mode. The accuracy and robustness of the proposed method are verified by using two simulation examples and an actual system.
引用
收藏
页码:4291 / 4299
页数:9
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