一种利用机端电压幅值轨迹MLE指标的暂态功角稳定在线辨识方法

发布时间：2018-06-07 15:39

本文选题：广域测量系统 + 最大李雅普诺夫指数　；参考：《中国电机工程学报》2017年13期

【摘要】：在实时获取电网动态响应信息的基础上,为更有效地评估系统的暂态稳定性,文中从动态系统最大李雅普诺夫指数(maximum Lyapunov exponent,MLE)定义及其稳定分析机理出发,提出一种数据驱动的暂态功角稳定在线辨识方法。方法首先基于相空间重构理论、暂态功角稳定与机端节点电压幅值变化率-电压幅值偏差(Vmagcr-?Vmag)特性曲线的关系,将暂态功角稳定问题转变为受扰严重机组端节点?Vmag曲线的MLE轨迹分析问题;进而,利用递推最小二乘算法对MLE计算进行改进,并提出相关参数选取方法;最终,结合MLE曲线,给出了系统暂态稳定性的判断依据。方法无需对系统进行等值、简化及同调机组辨识,并克服了现有基于MLE暂态功角稳定评估方法需要预设MLE符号观测窗口的缺陷,具有较强的通用性与实用性。仿真算例验证了方法的正确性与有效性。
[Abstract]:On the basis of obtaining the dynamic response information of the power network in real time, in order to evaluate the transient stability of the system more effectively, the definition of maximum Lyapunov expectation MLEs and the mechanism of stability analysis of the dynamic system are discussed in this paper. A data-driven on-line identification method for transient power angle stability is proposed. Methods based on the phase space reconstruction theory, the relationship between the transient power angle stability and the Vmagcr-Vmag-Vmag-V characteristic curve of voltage amplitude variation rate and voltage amplitude deviation at the end of the machine is presented. In this paper, the transient power angle stability problem is transformed into the MLE trajectory analysis problem of the end node of the seriously disturbed generating unit, and then the recursive least square algorithm is used to improve the calculation of MLE, and the method of selecting relevant parameters is proposed. Finally, combining with the MLE curve, The basis for judging the transient stability of the system is given. The method does not need to be equivalent, simplified and homology unit identification, and overcomes the defect that the existing transient power angle stability evaluation methods based on MLE need preset MLE symbol observation window, so it has strong generality and practicability. Simulation results show that the method is correct and effective.
【作者单位】：电网智能化调度与控制教育部重点实验室(山东大学);中国电力科学研究院;
【基金】：国家自然科学基金项目(51007047,51477091) 国家电网公司科技项目(XT71-15-056) 山东大学基本科研业务费专项资金资助项目(2015JC028,2015WLJH43)~~
【分类号】：TM712

【相似文献】