高晗, 杨德友, 吕艳玲, 王丽馨, 陈卓. 基于Koopman理论的暂态电压轨迹在线预测方法[J]. 高电压技术, 2025, 51(1): 248-256. DOI: 10.13336/j.1003-6520.hve.20241127
引用本文: 高晗, 杨德友, 吕艳玲, 王丽馨, 陈卓. 基于Koopman理论的暂态电压轨迹在线预测方法[J]. 高电压技术, 2025, 51(1): 248-256. DOI: 10.13336/j.1003-6520.hve.20241127
GAO Han, YANG Deyou, LYU Yanling, WANG Lixin, CHEN Zhuo. An Online Prediction Method for Transient Voltage Trajectories Based on Koopman Theory[J]. High Voltage Engineering, 2025, 51(1): 248-256. DOI: 10.13336/j.1003-6520.hve.20241127
Citation: GAO Han, YANG Deyou, LYU Yanling, WANG Lixin, CHEN Zhuo. An Online Prediction Method for Transient Voltage Trajectories Based on Koopman Theory[J]. High Voltage Engineering, 2025, 51(1): 248-256. DOI: 10.13336/j.1003-6520.hve.20241127

基于Koopman理论的暂态电压轨迹在线预测方法

An Online Prediction Method for Transient Voltage Trajectories Based on Koopman Theory

  • 摘要: 通过微分代数方程求解暂态电压动态轨迹在大规模互联电力系统中计算困难,求解速度慢,无法满足在线分析需求。因此,提出了基于Koopman理论的暂态电压轨迹在线预测方法。首先,分析了复杂系统故障后暂态过程中电压响应的多模式耦合振荡特性;接着,提出基于Hankel矩阵增强扩展动态模式分解(Hankel-EDMD)算法的暂态电压轨迹预测方法,通过Hankel矩阵实现对量测数据的扩维处理,降低对系统响应数据的依赖性,提升方法的计算效率;最后,结合递推滑窗手段,通过动态跟踪Koopman模式提取,进一步提升所提轨迹预测方法在实际应用中的准确性。北欧Nordic32测试系统仿真和中国电科院标准算例计算结果表明,采用所提方法实现暂态电压轨迹预测的均方根误差仅为0.42%和0.44%,远远小于当前先进算法,且预测时间相较于当前方法至少降低一个数量级,证明所提方法可通过较短量测时间窗口(0.5 s)实现暂态电压轨迹在线预测,计算效率与准确性更高,同时所提方法具有较好的噪声鲁棒性,为后续暂态电压稳定分析与控制提供了一定的技术支撑。

     

    Abstract: It is difficult to solve the dynamic trajectory of transient voltage through differential algebraic equations in large-scale interconnected power system with low calculation speed, which cannot meet the requirements of online analysis. In this paper, an online method method for transient voltage trajectory based on Koopman theory is proposed. Firstly, the multi-mode coupling oscillation characteristics of voltage dynamic response in the transient process of the complex power system after faults are analyzed. Then, a transient voltage trajectory prediction method based on Hankel matrix enhanced extended dynamic mode decomposition (Hankel-EDMD) algorithm is proposed, where the measurement data are expanded by Hankel matrix to reduce the dependence on response data, enhancing the calculation efficiency of the proposed method. Finally, the accuracy of the proposed trajectory prediction method is further improved through dynamic tracking Koopman modes extraction by means of recursive sliding window. The simulation results of the Nordic32 test system and the standard system of the China Institute of Electrical Science and Technology show that the RMSE of transient voltage trajectory prediction using the proposed method is only 0.42% and 0.44%, which is much smaller than that of the current advanced algorithms, and the prediction time is at least one order of magnitude lower than that of current methods, which proves that the proposed method can realize the online prediction of transient voltage trajectory through a short measurement time window (0.5 s), achieving higher computational efficiency and accuracy. Meanwhile, the proposed method has good robustness of measurement noise, which provides a certain technical support for subsequent transient voltage stability analysis and control.

     

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