Probabilistic small signal stability analysis of power system with wind power and photovoltaic power based on probability collocation method
Probabilistic small signal stability analysis of power system with wind power and photovoltaic power based on probability collocation method
复制标题
基于概率配置法的风电、光伏发电系统概率小信号稳定性分析
DOI：
10.1016/j.gloei.2019.06.003
复制
发表时间：
2019-02
影响因子：
--
通讯作者：
Cheng Shijie
中科院分区：
文献类型：
--
作者：
Yan Cai;Zhou Linli;Yao Wei;Wen Jinyu;Cheng Shijie
近年来，随着风电和光伏发电在世界范围内的普及，由多种可再生能源组成的电力系统的概率小干扰稳定性分析（PSSSA）已成为一个关键问题。为了解决这个问题，本研究提出了一种基于概率配置法（PCM）的PSSSA的风力发电场和光伏发电场组成的电力系统。与传统的Monte Carlo方法相比，该方法满足精度和精度要求，计算量大大减少，适用于该电力系统的PSSSA。案例研究进行了基于4机2区和新英格兰系统，分别。仿真结果表明，通过降低同步发电机出力提高可再生能源的渗透率，提高了系统的概率小干扰稳定性。相反，通过移除部分同步发电机以提高可再生能源的渗透率，系统的PSSS可能会增强或恶化。
Recently, with increasing improvements in the penetration of wind power and photovoltaic power in the world, probabilistic small signal stability analysis (PSSSA) of a power system consisting of multiple types of renewable energy has become a key problem. To address this problem, this study proposes a probabilistic collocation method (PCM)-based PSSSA for a power system consisting of wind farms and photovoltaic farms. Compared with the conventional Monte Carlo method, the proposed method meets the accuracy and precision requirements and greatly reduces the computation; therefore, it is suitable for the PSSSA of this power system. Case studies are conducted based on a 4-machine 2-area and New England systems, respectively. The simulation results show that, by reducing synchronous generator output to improve the penetration of renewable energy, the probabilistic small signal stability (PSSS) of the system is enhanced. Conversely, by removing part of the synchronous generators to improve the penetration of renewable energy, the PSSS of the system may be either enhanced or deteriorated.
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DOI：
10.1016/j.ijepes.2014.04.005
发表时间：
2014-10
影响因子：
5.2
作者：
X. Bian;X. X. Huang-X.;K. Wong;K. Lo;Yang Fu;S. Xuan
通讯作者：
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影响因子：
6.6
作者：
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通讯作者：
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DOI：
10.1109/supergen.2009.5348227
发表时间：
2009-04
期刊：
2009 International Conference on Sustainable Power Generation and Supply
影响因子：
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作者：
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通讯作者：
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DOI：
10.1109/pes.2005.1489386
发表时间：
2005-06
期刊：
IEEE Power Engineering Society General Meeting, 2005
影响因子：
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作者：
F. Mei;B. Pal
通讯作者：
F. Mei;B. Pal
影响因子：
6.6
作者：
J. Rueda;D. G. Colomé;I. Erlich
通讯作者：
J. Rueda;D. G. Colomé;I. Erlich