A matrix-perturbation-theory-based optimal strategy for small-signal stability analysis of large-scale power grid

被引:11
|
作者
Yang Y. [1 ]
Zhao J. [1 ]
Liu H. [1 ]
Qin Z. [1 ]
Deng J. [2 ]
Qi J. [3 ]
机构
[1] College of Electrical Engineering, Guangxi University, Nanning
[2] State Grid Shaanxi Electric Power Research Institute, Xi’an
[3] Department of Electrical and Computer Engineering, University of Central Florida, Orlando, 32816, FL
基金
中国国家自然科学基金;
关键词
2nd order sensitivity; Matrix perturbation theory; Optimal strategy; Small-signal stability;
D O I
10.1186/s41601-018-0107-z
中图分类号
学科分类号
摘要
In this paper, a sensitivity matrix based approach is proposed to improve the minimum damping ratio. The proposed method also avoids burdensome deviation calculations of damping ratio of large-scale power grids when compared to the Small-Signal-Stability Constrained Optimal Power Flow (SSSC-OPF) approach. This is achieved using the Matrix Perturbation Theory (MPT) to deal with the 2nd order sensitivity matrices, and the establishment of an optimal corrective control model to regulate the output power of generating units to improve the minimum damping ratio of power grids. Finally, simulation results on the IEEE 9-bus, IEEE 39-bus and a China 634-bus systems show that the proposed approach can significantly reduce the burden of deviation calculation, while enhancing power system stability and ensuring calculation accuracy. © 2018, The Author(s).
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