...
首页> 外文期刊>Generation, Transmission & Distribution, IET >Stability analysis of power system with multiple operating conditions considering the stochastic characteristic of wind speed
【24h】

Stability analysis of power system with multiple operating conditions considering the stochastic characteristic of wind speed

机译:考虑风速随机特性的多种工况电力系统稳定性分析

获取原文
获取原文并翻译 | 示例
           

摘要

A new method to analyze the stability of power system with multiple operating conditions considering the stochastic characteristic of wind speed is proposed in this study. First, the parameter Weibull model is used to do fitting prediction of the wind speed variation trend in the short term. Second, the wind speed is divided into different intervals, and the probability density matrix of the conditional featured wind speed in each interval is calculated. Then, the system operating conditions are determined according to the conditional featured wind speed. On this basis, the continuous Markov power system model with multiple operating conditions considering the stochastic characteristic of wind speed is established, and the Lyapunov functional containing the continuous Markov power system model is constructed. Then, by applying the Dynkin Lemma to the weak infinitesimal operators of the functional, the robust stochastic stability linear matrix inequality (LMI) which satisfies the disturbance attenuation degree is derived. Finally, transform the robust stochastic stability LMI to the feasibility problem, so that the stability of power system could be identified. Time-domain simulation tests verify that the proposed method could identify the stability of power system with multiple operating conditions quickly and efficiently.
机译:提出了一种考虑风速随机特性的多工况电力系统稳定性分析的新方法。首先,使用参数威布尔模型对风速变化趋势进行短期拟合预测。其次,将风速划分为不同的间隔,并计算每个间隔中有条件特征风速的概率密度矩阵。然后,根据条件特征风速确定系统运行条件。在此基础上,建立了考虑风速随机特性的多工况连续马尔可夫电力系统模型,并建立了包含连续马尔可夫电力系统模型的Lyapunov函数。然后,通过将Dynkin引理应用于函数的弱无穷小算子,得出了满足扰动衰减度的鲁棒随机稳定性线性矩阵不等式(LMI)。最后,将鲁棒随机稳定性LMI转化为可行性问题,从而可以确定电力系统的稳定性。时域仿真测试验证了该方法能够快速有效地识别多种工况下的电力系统稳定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号