基于随机响应面法的含风电电力系统小扰动稳定性分析

发布时间：2019-02-17 08:20

【摘要】：风力发电的不确定性对电力系统小扰动稳定性造成一定影响,而地理位置相近的风电场间的风速具有一定的相关性。本文建立双馈风电机组的动态模型,利用Nataf变换建立考虑风速相关性的风电场群模型,运用随机响应面法(SRSM),以风速作为输入,系统特征值、阻尼比、频率作为输出,分析了系统的小扰动稳定性,同时应用基于线性无关原则的概率配点选取法,合理选择有效配点,提高了SRSM的计算效率。在10机39节点系统中将SRSM与蒙特卡罗法比较,结果显示SRSM计算结果准确可靠,计算时间远远少于蒙特卡罗法的计算时间,能够实现系统小扰动稳定性分析的快速评估。在是否考虑风速相关性两种情况下进行对比,结果表明:考虑风速相关性时系统小扰动分析结果的波动更小,对系统安全稳定运行具有更明确的指导意义。
[Abstract]:The uncertainty of wind power generation has a certain influence on the stability of small disturbance of power system, and the wind speed of wind farm with similar geographical position has certain correlation. In this paper, the dynamic model of doubly-fed wind turbine is established, and the wind farm group model considering the correlation of wind speed is established by Nataf transform. The stochastic response surface method (SRSM),) is used to take wind speed as input, system eigenvalue, damping ratio and frequency as output. The small disturbance stability of the system is analyzed, and the probability collocation selection method based on linear independence principle is applied to select the effective matching points reasonably, which improves the efficiency of SRSM calculation. Comparing SRSM with Monte Carlo method in a 10-machine 39 bus system, the results show that the calculation results of SRSM are accurate and reliable, and the calculation time is much less than that of Monte Carlo method, which can realize the rapid evaluation of small disturbance stability analysis of the system. Whether wind speed correlation is considered or not is compared. The results show that the fluctuation of system small disturbance analysis results is smaller when wind speed correlation is considered, which has more definite guiding significance for the safe and stable operation of the system.
【作者单位】：华北电力大学电气与电子工程学院;
【基金】：中央高校基本科研业务费专项资金资助项目(2016MS86)
【分类号】：TM712

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