Improvement on probabilistic small-signal stability of power system with large-scale wind farm integration
Improvement on probabilistic small-signal stability of power system with large-scale wind farm integration
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DOI：
10.1016/j.ijepes.2014.04.005
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发表时间：
2014-10
影响因子：
5.2
通讯作者：
X. Bian;X. X. Huang-X.;K. Wong;K. Lo;Yang Fu;S. Xuan
中科院分区：
文献类型：
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作者：
X. Bian;X. X. Huang-X.;K. Wong;K. Lo;Yang Fu;S. Xuan
考虑系统运行条件的随机不确定性，研究含风电场的电力系统概率小干扰稳定性。用概率特征值分析方法计算了系统特征值实部的分布函数。为了提高系统的概率小干扰稳定性，采用了PSS。提出了一种基于参与因子和中心频率法的PSS优化方法。为了评估上述提出的方法，该程序被应用到一个测试系统。仿真结果表明，与无风情况相比，风力发电量的随机变化会导致系统更大的失稳概率。当特征值分布范围较大时，PSS的整定变得困难。通过应用所提出的优化PSS方法，系统的概率稳定性可以显着提高。
This paper studies probabilistic small-signal stability of power systems with wind farm integration, considering the stochastic uncertainty of system operating conditions. The distribution function of the real-part of system eigenvalue is computed by the method of probabilistic eigenvalue analysis. For improving probabilistic small-signal stability, PSS is adopted. A method for optimizing PSS based on participation factor and center frequency method is proposed. In order to evaluate the above proposed methods, the procedure is applied to a test system. The simulation results show that the stochastic variation of wind generation can induce a higher probability of system instability when compared with one that has no wind generation. With eigenvalues distributing in a wider range, it becomes difficult for PSS tuning. By applying the proposed optimized PSSs approach, probabilistic stability of system can be significantly improved.