This paper presents the development and validation of a new oscillatory component load (OCL) model for a measurement-based real-time estimation of dynamic load model parameters. The proposed OCL model has been derived from a second-order differential equation that considers three necessary components, namely static, exponential recovery, and damped oscillatory components. The performance evaluation of the proposed OCL model has been demonstrated through DIgSILENT PowerFactory-based dynamic power system simulations, real-time substation data captured from phasor measurement units located at the primary substations of Leadenham, Holwell, and Regent Street cities, and real-time transient voltage events data provided by the EirGrid. Further, the effectiveness of the proposed OCL model has been assessed by comparing its performance with that of the existing exponential recovery load model. A new flexible and efficient SynchroHub platform, developed at the University of Manchester for real-time data acquisition, processing and visualization, has been used for the real-time estimation of dynamic load model parameters. The validation results revealed the efficacy of the proposed OCL model in tracking both the first as well as the subsequent oscillations of dynamic load model response of the power system for both the steady state as well as transient operating conditions accurately.

中文翻译：

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用于动态载荷模型参数实时估计的新型振荡分量载荷模型的开发和验证

本文介绍了一种新的振荡分量载荷 (OCL) 模型的开发和验证，用于基于测量的动态载荷模型参数的实时估计。所提出的 OCL 模型源自考虑三个必要分量的二阶微分方程，即静态、指数恢复和阻尼振荡分量。已通过基于 DIgSILENT PowerFactory 的动态电力系统模拟、从位于 Leadenham、Holwell 和 Regent Street 城市初级变电站的相量测量单元捕获的实时变电站数据以及实时EirGrid 提供的瞬态电压事件数据。更多，通过将其性能与现有指数恢复负载模型的性能进行比较，评估了所提出的 OCL 模型的有效性。曼彻斯特大学开发的用于实时数据采集、处理和可视化的新型灵活高效 SynchroHub 平台已用于动态载荷模型参数的实时估计。验证结果揭示了所提出的 OCL 模型在准确跟踪电力系统在稳态和瞬态运行条件下的动态负载模型响应的首次振荡和后续振荡方面的有效性。已被用于动态载荷模型参数的实时估计。验证结果揭示了所提出的 OCL 模型在准确跟踪电力系统在稳态和瞬态运行条件下的动态负载模型响应的首次振荡和后续振荡方面的有效性。已被用于动态载荷模型参数的实时估计。验证结果揭示了所提出的 OCL 模型在准确跟踪电力系统在稳态和瞬态运行条件下的动态负载模型响应的首次振荡和后续振荡方面的有效性。